System

Abstract

A system is provided.SOLUTION: A system comprising: means for receiving inputs from a user; means for analyzing the inputs to generate beats, harmonies, and samples using a generative AI model; means for presenting the generated beats, harmonies, and samples to the user; and means for editing the generated beats, harmonies, and samples to save a final track.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The technology of the present disclosure relates to a system. [Background technology]

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] Music production is extremely difficult and intimidating for beginners. This causes many aspiring musicians to give up on the idea. Furthermore, music trends are constantly changing, and keeping up with them requires specialized knowledge and experience. Furthermore, there are issues with copyrights and licenses for the music samples used, which limit users' creativity. There is a need to provide a system that solves these issues and allows even beginners to easily create music. [Means for solving the problem]

[0005] The present invention solves the above-mentioned problems by providing a system that includes a means for receiving input from a user, a means for analyzing the input and generating beats, harmonies, and samples using a generative AI model, a means for presenting the generated beats, harmonies, and samples to the user, and a means for editing the generated beats, harmonies, and samples and saving the final track. The system also includes a means for specifying the musical style, tempo, atmosphere, and instruments used based on the user's input, and a means for analyzing musical trends in real time and inputting them into the generative AI model. Additionally, the system includes a means for integrating royalty-free samples to reduce copyright and licensing risks, providing an environment in which users can freely engage in creative activities.

[0006] "User input" refers to information provided to the system by a user in music production, such as the style, tempo, atmosphere, and instruments used in the music.

[0007] A "generative AI model" is an algorithm that uses artificial intelligence technology to analyze user input and current music trends to generate beats, harmonies, and samples.

[0008] A "beat" is an element that makes up the rhythmic pattern of a music track, and is an important part that determines the rhythmic feel of a song.

[0009] "Harmony" refers to the progression of chords and notes in a music track, and is an element that creates harmony throughout the song.

[0010] A "sample" refers to a piece of musical material used in music production, including loops, one-shots, and sound effects.

[0011] "Presenting" refers to displaying or playing back the generated musical material so that the user can visually or audibly confirm it.

[0012] "Editing" refers to the act of the user freely changing, adding, or deleting the generated beats, harmonies, and samples.

[0013] "Final Track" refers to the final musical composition that the user has completed editing and saved.

[0014] "Royalty-free samples" refer to music that is not restricted by copyright or licensing and can be used freely by users without paying licensing fees.

[0015] "Copyright risk" refers to the legal problems that arise when using other people's copyrighted material without permission in music production.

[0016] "Licensing risk" refers to the legal issues that arise when using other people's music in music production without obtaining the appropriate licenses. [Brief explanation of the drawings]

[0017] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8]FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0018] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0019] First, the terms used in the following description will be explained.

[0020] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0021] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0022] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0023] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0024] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0025] [First embodiment]

[0026] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0027] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0028] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0029] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0030] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0031] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0032] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0033] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0034] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0035] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0036] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0037] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0038] This invention relates to a music production support system that utilizes generative AI models to intuitively simplify the music production process. The configuration and operation of this system are described in detail below.

[0039] This system mainly consists of the following components:

[0040] 1. User Input Method

[0041] 2. Data analysis and generation method (server side)

[0042] 3. Results presentation means

[0043] 4. Editing and storage methods

[0044] User Input Method

[0045] Users log in to the system via a terminal and provide input information necessary for music creation, including musical style (e.g., electronic dance music, classical, rock), tempo (e.g., 128 BPM), mood (e.g., energetic, mellow), and instruments used (e.g., synthesizer, piano). User input is performed on the terminal, and then the data is sent to the server.

[0046] Data analysis and generation method (server side)

[0047] The server prepares the data received from the user for analysis. First, it analyzes the received data and extracts the musical style, tempo, atmosphere, and instruments used. Then, it uses generative AI models to generate beats, harmonies, and samples based on musical trends and user input. This creates music material that meets the user's requirements.

[0048] For example, let's say a user selects "electronic dance music," sets the tempo to "128 BPM," sets the mood to "energetic," and sets the instrument to "synthesizer." Based on this information, the generative AI model generates optimal rhythmic patterns, pitches, and materials, and compiles them on the server.

[0049] Results presentation means

[0050] The server sends the generated music back to the device, which receives it and displays it to the user. The system displays the generated beats, harmonies, and samples in a list format or in a graphical interface, allowing the user to visually examine each element.

[0051] Editing and storage methods

[0052] Users can freely edit the presented music material on their device. Specifically, they can adjust the generated beat, change parts of the harmony, or add new samples. Finally, they can save the edited music track on their device. This saved track can be used as their own original work.

[0053] Specific examples

[0054] Here is a specific example of how it works: The user inputs the following:

[0055] Music Style: Electronic Dance Music

[0056] Tempo: 128BPM

[0057] Atmosphere: Energetic

[0058] Instruments used: Synthesizer

[0059] This information is sent to a server, which uses a generative AI model to generate beats, harmonies, and samples. The generated beats are energetic and rhythmically aligned to 128 BPM. The generated harmonies have bright chord progressions, and synthesizer samples enhance the energetic atmosphere. These musical elements are then sent back to the device, where the user can review them in a list format. The user can then fine-tune the harmonies to create the final track and save it to their device.

[0060] This system allows even beginners to music production to create high-quality music without going through complicated processes.

[0061] The processing flow will be explained below.

[0062] Step 1:

[0063] The user logs in to the terminal and inputs information for music production, specifying parameters such as musical style, tempo, atmosphere, and instruments to be used.

[0064] Step 2:

[0065] The device receives user input and transmits data to the server, including parameters such as musical style, tempo, atmosphere, and instruments used.

[0066] Step 3:

[0067] The server analyzes the data received from the device. First, it converts the data into an appropriate format for analysis and extracts the necessary parameters (musical style, tempo, atmosphere, instruments used).

[0068] Step 4:

[0069] The server uses a generative AI model to generate beats, harmonies, and samples based on the received parameters. The generative AI model analyzes music trend data and generates high-quality music material.

[0070] Step 5:

[0071] The server compiles the generated beats, harmonies, and samples and sends them back to the device as a single response, which contains the generated musical material.

[0072] Step 6:

[0073] The device receives the response from the server and displays the generated results to the user, who can visually check the beat, harmony, and samples.

[0074] Step 7:

[0075] Users can edit the generated music on their device, adjusting the beat, changing the harmonies, and adding new samples.

[0076] Step 8:

[0077] After the user completes the editing, the device saves the final track, which can then be used as the user's own creation.

[0078] Example 1

[0079] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0080] Music production requires advanced knowledge and skills, making it difficult for beginners to produce high-quality music. Furthermore, existing tools often make it difficult for users to intuitively operate them, and editing and saving the generated music material is often cumbersome. This invention provides a system that utilizes generative AI models to enable users to intuitively produce high-quality music.

[0081] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0082] In this invention, the server includes means for receiving input from a user, means for analyzing the input and generating musical elements using a generative AI model, means for presenting the generated musical elements to the user, and means for editing the generated musical elements and saving the final track, thereby enabling users to create, edit, and save high-quality music using intuitive operations.

[0083] "User" refers to an individual or organization that uses the system to create music.

[0084] "Input" is information provided by the user through the system, including the type of music, time signature, mood, instruments used, etc.

[0085] A "generative AI model" refers to an artificial intelligence technology that generates musical elements based on received input information.

[0086] "Musical Elements" refers to the basic elements needed for music production, such as generated beats, harmonies, and samples.

[0087] "Type of music" refers to a specific genre or style, such as electronic dance music or classical music.

[0088] "Time signature" is an element that represents the speed and rhythm of music, and is specifically expressed in BPM (Beats Per Minute).

[0089] "Mood" is an element that describes the atmosphere or emotion of music, and can include energetic or calm.

[0090] "Instruments used" refers to the specific instruments used in music production, including synthesizers and pianos.

[0091] "Musical trends" refer to styles and characteristics that are currently popular in the music industry.

[0092] "Real-time" refers to data being processed and analyzed as it occurs.

[0093] "Royalty free" refers to material that does not require copyright royalties, which reduces licensing risk.

[0094] "Materials" refers to the sound sources and samples used in music production.

[0095] "Track" refers to a completed musical composition.

[0096] This invention relates to a music production support system that utilizes generative AI models to intuitively simplify the music production process. The system configuration and operation are explained in detail below. This system is mainly composed of the following components:

[0097] 1. User Input Method

[0098] Users log in to the system via a terminal and provide input information necessary for music creation, including musical style (e.g., electronic dance music), tempo (e.g., 128 BPM), mood (e.g., energetic), instruments used (e.g., synthesizer), etc. User input is made on the terminal, and then the data is sent to the server.

[0099] 2. Data analysis and generation method (server side)

[0100] The server prepares the data received from the user for analysis. First, it analyzes the received data and extracts the musical style, tempo, atmosphere, and instruments used. Then, it uses generative AI models to generate beats, harmonies, and samples based on musical trends and user input. This creates music material that meets the user's requirements.

[0101] For example, let's say a user selects "electronic dance music," sets the tempo to "128 BPM," sets the mood to "energetic," and sets the instrument to "synthesizer." Based on this information, the generative AI model generates optimal rhythmic patterns, pitches, and materials, and compiles them on the server.

[0102] 3. Results presentation means

[0103] The server sends the generated music back to the device, which receives it and displays it to the user. The system displays the generated beats, harmonies, and samples in a list format or in a graphical interface, allowing the user to visually examine each element.

[0104] 4. Editing and storage methods

[0105] Users can freely edit the presented music material on their device. Specifically, they can adjust the generated beat, change parts of the harmony, or add new samples. Finally, they are provided with the ability to save the edited music track on their device. This saved track can then be used as the user's own original work.

[0106] Specific examples

[0107] Here's a concrete example of how it works: The user enters the following:

[0108] Music Style: Electronic Dance Music

[0109] Tempo: 128BPM

[0110] Atmosphere: Energetic

[0111] Instruments used: Synthesizer

[0112] This information is then sent to the server, which uses a generative AI model to generate beats, harmonies, and samples. The generated beats are energetic and rhythmically aligned to 128 BPM. The generated harmonies have bright chord progressions, and synthesizer samples enhance the energetic atmosphere. These musical elements are then sent back to the device, where the user can review them in list format. The user can then fine-tune the harmonies to create the final track and save it on their device. This allows even beginners to create high-quality music without going through a complicated process.

[0113] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0114] Step 1:

[0115] User input

[0116] The user logs into the system using a terminal and inputs information for music production, including the musical style, tempo, atmosphere, instruments used, etc. After inputting this information, the user clicks the "Submit" button.

[0117] Input and Output

[0118] Input: User-supplied information about musical style, tempo, mood, and instruments used

[0119] Output: A dataset of input information

[0120] Specific actions

[0121] 1. The user starts the application and enters their user ID and password on the login screen.

[0122] 2. The music production screen appears and the user selects a music style (e.g., electronic dance music).

[0123] 3. Enter the tempo (e.g. 128 BPM), mood (e.g. energetic), and instruments used (e.g. synthesizer) in that order.

[0124] 4. Click the "Submit" button to send the entered information to the server.

[0125] Step 2:

[0126] Sending input data

[0127] The terminal transmits the data entered by the user to the server.

[0128] Input and Output

[0129] Input: Data about your music production entered by you

[0130] Output: Data sent to the server

[0131] Specific actions

[0132] 1. When the user clicks the "Submit" button, the entered data is sent from the terminal to the server.

[0133] 2. The server sends a confirmation message to the terminal confirming receipt of the data.

[0134] Step 3:

[0135] Data Analysis and Generation

[0136] The server analyzes the received data and uses generative AI models to generate musical elements (beats, harmonies, samples).

[0137] Input and Output

[0138] Input: Music style, tempo, mood, and instrument information sent from your device

[0139] Output: Generated musical elements (beats, harmonies, samples)

[0140] Specific actions

[0141] 1. The server analyzes the received data and extracts the musical style, tempo, atmosphere, and instruments used.

[0142] 2. Based on the analysis results, a generative AI model generates beats, harmonies, and samples.

[0143] 3. The server organizes the generated musical elements and prepares the results for transmission to the device.

[0144] Step 4:

[0145] Presenting the generated results

[0146] The server returns the generated music material to the terminal, which receives it and displays it to the user.

[0147] Input and Output

[0148] Input: Generated musical elements

[0149] Output: The musical elements presented to the user

[0150] Specific actions

[0151] 1. The server sends the generated music material to the device.

[0152] 2. The terminal analyzes the received data and displays it to the user in a list format or in a graphical interface.

[0153] Step 5:

[0154] User edits

[0155] Users are free to edit the presented music by adjusting the beat, changing the harmony, or adding new samples.

[0156] Input and Output

[0157] Input: Generated musical elements and user editing operations

[0158] Output: Edited musical elements

[0159] Specific actions

[0160] 1. The user selects the beat they want to edit from the list and adjusts the rhythm and tempo.

[0161] 2. Click on a part of the harmony to change the chord progression.

[0162] 3. Add new samples if necessary.

[0163] Step 6:

[0164] Saving the finished track

[0165] Save the edited music track to your device.

[0166] Input and Output

[0167] Input: Edited musical elements

[0168] Output: Final saved track

[0169] Specific actions

[0170] 1. The user clicks the "Save" button.

[0171] 2. The edited music track will be saved to your device's storage.

[0172] (Application example 1)

[0173] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0174] Existing music production support systems are difficult to operate even for beginners and lack real-time music generation functionality that can instantly adapt to specific environments and situations. Furthermore, the inability to quickly change the music environment in stores and other locations makes it difficult to improve the quality of the customer experience. Furthermore, managing copyright and licensing risks for the generated music materials is also an issue.

[0175] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0176] In this invention, the server includes a means for receiving input from a user, a means for generating and presenting environmentally adaptive music materials in real time using a generative AI model, a means for editing and saving the generated music materials, and a means for instantly playing the generated music materials using a smart device. This enables real-time environmentally adaptive music generation, allowing for quick changes to the atmosphere of a store. Furthermore, since even beginners can intuitively operate the system, a wide range of users can create high-quality music. Furthermore, by integrating royalty-free samples, copyright and licensing risks can be reduced.

[0177] The "means for receiving input from the user" is an interface that allows the user to provide the system with the information necessary for music production.

[0178] "Means for generating beats, harmonies, and samples using generative AI models" means means for automatically generating musical beats, harmonies, and samples based on input information using AI technology.

[0179] The "means for presenting the generated beats, harmonies, and samples to the user" refers to an interface for visually or aurally presenting the generated musical material to the user.

[0180] "Means for editing the generated beats, harmonies, and samples and saving the final track" is a function that allows the user to freely edit the generated music material and save it as a final music track.

[0181] "Means for using a smart device to present real-time generated musical material and instantly play environmentally adaptive music" refers to means for using a smart device (e.g., smart glasses) to play generated musical material on the spot and adapt it to the environment.

[0182] "Means for analyzing music trends in real time and inputting them into the generative AI model" is a function for analyzing current music trends and reflecting that information in the generative AI model.

[0183] The "means for generating music that matches the atmosphere of a store or a specific environment" is a function for generating music that is suited to the atmosphere of a specific place or scene.

[0184] "Methods for integrating royalty-free samples to mitigate copyright and licensing risks" refers to methods for reducing legal risks by using music samples that are free from copyright and licensing risks.

[0185] This invention relates to a system that utilizes generative AI models to intuitively simplify music production. The configuration and operation of this system are described in detail below.

[0186] The system mainly consists of the following components:

[0187] 1. User Input Method

[0188] 2. Data analysis and generation method (server side)

[0189] 3. Results presentation means

[0190] 4. Editing and storage methods

[0191] 5. Real-time playback (using smart devices)

[0192] User Input Method

[0193] Users log in to the system via their smart devices or terminals and provide the necessary input information for music creation, including musical style (e.g., jazz, pop), tempo (e.g., 120 BPM), mood (e.g., relaxed, upbeat), and instruments (e.g., guitar, drums). User input is made on the terminal or smart glasses, and the data is then sent to the server.

[0194] Data analysis and generation method (server side)

[0195] The server analyzes the data received from the user. First, it analyzes the received data and extracts the musical style, tempo, atmosphere, and instruments used. Then, it uses a generative AI model to generate beats, harmonies, and samples based on musical trends and user input. This creates music material that meets the user's requirements.

[0196] For example, suppose a user selects "Jazz," sets the tempo to "120 BPM," sets the mood to "Relaxed," and sets the instrument to "Guitar." Based on this information, the generative AI model generates optimal rhythm patterns, pitches, and materials, and compiles them on the server.

[0197] Results presentation means

[0198] The server sends the generated music back to the device in real time, where the device or smart glasses receive it and display it to the user. The system displays the generated beats, harmonies, and samples in list format or in a graphical interface, allowing the user to visually examine each element.

[0199] Editing and storage methods

[0200] Users can freely edit the presented music material on their terminal or smart device. Specifically, they can adjust the generated beat, change parts of the harmony, or add new samples. Finally, they are provided with the ability to save the edited music track on their terminal or server. This saved track can then be used as the user's own original work.

[0201] Real-time playback method (using smart devices)

[0202] The system uses smart devices such as smart glasses to play the generated music in real time, allowing users to instantly adapt the music to specific locations and situations. For example, when setting up a new promotional corner in a store, music generated on the spot can be played instantly to create a lively atmosphere.

[0203] Specific examples

[0204] The user enters the following:

[0205] Music Style: Jazz

[0206] Tempo: 120BPM

[0207] Atmosphere: Relaxed

[0208] Instrument: Guitar

[0209] This information is sent to a server, which uses a generative AI model to generate beats, harmonies, and samples. The generated beats have a relaxed atmosphere and a rhythmic feel that matches the 120 BPM rhythm. The generated harmonies have a soothing chord progression, and guitar samples emphasize the relaxed atmosphere. These musical elements are then sent back to the terminal or smart device, where the user can review them and make adjustments as needed. The final track is saved, and the system also plays it back in real time.

[0210] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0211] Step 1:

[0212] A user logs in to the system using a smart device or terminal and inputs the information necessary for music production. This input includes the musical style, tempo, atmosphere, and instruments used. For example, a user might input prompts such as "jazz," "120 BPM," "relaxed," and "guitar." This input data is sent to the server.

[0213] Step 2:

[0214] The server analyzes the received data and extracts musical style, tempo, atmosphere, and instruments used. Through this data analysis, it specifically understands the user's request. The input data includes "jazz," "120 BPM," "relaxed," and "guitar," and it analyzes and converts this data into a format that can be input into the generative AI model.

[0215] Step 3:

[0216] The server uses a generative AI model based on the analyzed data to generate beats, harmonies, and samples. The AI ​​model generates optimal rhythm patterns, pitches, and samples based on music trends and input data. For example, the generative AI model generates relaxing jazz beats and harmonies corresponding to "Jazz," "120 BPM," "Relax," and "Guitar." The generated data is stored on the server as a series of musical materials: beats, harmonies, and samples.

[0217] Step 4:

[0218] The server sends the generated music back to the terminal or smart device. The music is presented visually in a list format or through an interface. The user can receive and listen to this information in real time. For example, the generated jazz beat and harmonies can be displayed on the display of smart glasses, allowing the user to check them immediately.

[0219] Step 5:

[0220] Users can use the function to edit the presented music material. As input data, they input the parts they want to tweak again through the interface. For example, they can tweak the beat speed or change a part of the harmony. This edit content is then analyzed again by the server, and updated music material is generated.

[0221] Step 6:

[0222] Once the editing is complete, the user saves the music track. The saved data is stored on the device or server and can be reused later. Specifically, the final track created by the user is saved in the cloud and can be accessed at any time.

[0223] Step 7:

[0224] The system uses smart devices to play the generated music in real time. For example, smart glasses can play music tracks on the spot to adjust the atmosphere in the store in real time. This allows store employees to select the right music on the spot and instantly adapt to the environment. This real-time playback improves the customer experience.

[0225] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0226] This invention relates to a system for supporting music production that utilizes a generative AI model and combines it with an emotion engine that recognizes the user's emotions. The configuration and operation of this system are described in detail below.

[0227] This system mainly consists of the following components:

[0228] 1. User Input Method

[0229] 2. Emotion recognition means

[0230] 3. Data analysis and generation method (server side)

[0231] 4. Results presentation means

[0232] 5. Editing and storage methods

[0233] User Input Method

[0234] Users log in to the system via their terminal and provide input information necessary for music creation, including musical style (e.g., electronic dance music, classical, rock), tempo (e.g., 128 BPM), mood (e.g., energetic, mellow), and instruments used (e.g., synthesizer, piano). The input data is sent from the terminal to the server.

[0235] emotion recognition means

[0236] The device is equipped with an emotion engine that recognizes the user's emotional state based on data such as facial expressions, voice, and typing speed. This emotion data is sent to the server to be used in the music generation process. For example, if the user expresses fatigue, it can suggest music with a calming atmosphere.

[0237] Data analysis and generation method (server side)

[0238] The server analyzes various data received from the user (musical style, tempo, atmosphere, instruments used, emotional state). The received data is converted into an appropriate format for analysis and input into a generative AI model. The generative AI model generates beats, harmonies, and samples based on music trends, user input, and emotional data. This process generates optimal musical material tailored to the user's state.

[0239] For example, if a user selects "electronic dance music," inputs the tempo as "128 BPM," the atmosphere as "energetic," and the instrument used as "synthesizer," and the emotion engine recognizes the user's "joy," energetic and positive beats, harmonies, and samples will be generated.

[0240] Results presentation means

[0241] The server sends the generated music back to the device, which receives it and displays the results to the user. The system displays the generated beats, harmonies, and samples in a list format or in a graphical interface, allowing the user to visually check each element.

[0242] Editing and storage methods

[0243] Users can freely edit the presented music material on their device. They can adjust the beat, change parts of the harmony, or add new samples. Finally, they can save the edited music track on their device. This saved track can then be used as their own original work.

[0244] Specific examples

[0245] Here is a specific example of how it works: The user inputs the following:

[0246] Music Style: Electronic Dance Music

[0247] Tempo: 128BPM

[0248] Atmosphere: Energetic

[0249] Instruments used: Synthesizer

[0250] This information is sent from the device to the server. At the same time, the emotion engine recognizes the user's "joy" and sends this data to the server. The server uses this information to generate beats, harmonies, and samples using a generative AI model. The generated beats are energetic and have a rhythmic feel that matches 128 BPM. The generated harmonies have bright chord progressions, and synthesizer samples emphasize the energetic atmosphere. These musical elements are sent back to the device, where the user can review them in list format. The user can then fine-tune the harmonies to create the final track and save it on the device.

[0251] In this way, the present invention, which combines an emotion engine, can provide a system that enables even beginners in music production to intuitively create high-quality music that matches their own emotions.

[0252] The processing flow will be explained below.

[0253] Step 1:

[0254] A user logs in to a terminal and provides input information for music production, specifying parameters such as musical style, tempo, atmosphere, and instruments to be used.

[0255] Step 2:

[0256] The device uses an emotion engine to analyze the user's facial expressions, voice, typing speed, etc. to recognize the user's emotional state. The recognized emotional data is used to generate music.

[0257] Step 3:

[0258] The terminal compiles the user's input information and emotional data and transmits them to the server, including the musical style, tempo, atmosphere, instruments used, and emotional state.

[0259] Step 4:

[0260] The server analyzes the data received from the device. First, it converts the received data into an appropriate format for analysis and extracts the necessary parameters (musical style, tempo, atmosphere, instruments used, emotional state).

[0261] Step 5:

[0262] The server uses a generative AI model to generate beats, harmonies, and samples based on the extracted parameters, taking into account music trend data and the user's emotional state.

[0263] Step 6:

[0264] The server sends the generated beats, harmonies, and samples back to the device as a single response, which contains the generated musical material.

[0265] Step 7:

[0266] The device receives the response from the server and displays the generated results to the user, who can visually check the beat, harmony, and samples.

[0267] Step 8:

[0268] Users can edit the generated music on their device, adjusting the beat, changing the harmonies, and adding new samples.

[0269] Step 9:

[0270] After the user completes the editing, the device saves the final track, which can then be used as the user's own creation.

[0271] For example, if a user selects electronic dance music, inputs the tempo as "128 BPM," the mood as "energetic," and the instrument as "synthesizer," and the emotion engine recognizes the user's "joy," the generated music material will have an energetic and positive atmosphere. Users can then edit and save the final track to create their own high-quality music.

[0272] Example 2

[0273] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0274] Currently, many music production support systems provide music materials without considering the user's emotional state. This makes it difficult to generate music that suits the user's emotional state, making it difficult for even beginners to intuitively create high-quality music. Furthermore, they do not adequately reflect real-time music trends or mitigate risks by using royalty-free samples. This creates a demand for more personalized music production support.

[0275] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0276] In this invention, the server includes a means for receiving input from a user, a means for analyzing the user's emotional state received from the terminal, a means for generating music data based on the analyzed user's emotional state, a means for presenting the generated music data to the user, and a means for editing the generated music data and saving the final information. This allows for the generation of music materials suited to the user's emotional state, allowing the user to intuitively create high-quality music. Furthermore, it is possible to reflect music trends in real time and reduce risk by using royalty-free samples.

[0277] "User" means an individual or entity that operates the music production system to generate and edit music.

[0278] A "server" is a computer system that receives data from users and creates music data using analytical and generative AI models.

[0279] A "terminal" is a device (such as a PC, smartphone, or tablet) that allows a user to input data and to check and edit the generated music data.

[0280] A "generative AI model" is an artificial intelligence model that automatically generates music data based on a certain algorithm.

[0281] "Music Style" refers to the type of music entered by the user (e.g., electronic dance music, classical, rock).

[0282] "Tempo" refers to the speed (in BPM) of the music input by the user.

[0283] "Atmosphere" refers to the emotional tone or mood of the music (e.g., energetic, calm).

[0284] "Instruments used" refers to the types of instruments (e.g., synthesizer, piano) used in music production.

[0285] "Emotional state" refers to the user's psychological state (e.g., joy, tiredness) that is input by the user to the system or analyzed by the system.

[0286] "Trend information" refers to the latest trends in music genres and styles.

[0287] "Royalty free" means that there is no additional payment obligation for use.

[0288] "Risk" refers to legal dangers such as rights issues and copyright infringement.

[0289] "Editing" refers to the process in which a user makes changes or modifications to the generated music data.

[0290] "Final information" refers to the final version of music data that the user has saved after editing.

[0291] The present invention relates to a system for supporting music production that utilizes a generative AI model and combines it with an emotion engine that recognizes the user's emotions. The system mainly includes the following components:

[0292] User Input Method

[0293] Users log in to the system using a terminal and enter information necessary for music creation, including details such as musical style (e.g., electronic dance music), tempo (e.g., 128 BPM), atmosphere (e.g., energetic), and instruments used (e.g., synthesizer). This data is then sent from the terminal to the server.

[0294] emotion recognition means

[0295] The device uses a built-in emotion engine to analyze the user's facial expressions, voice, typing speed, etc. to detect the user's emotional state. This emotion data is also sent to the server and used in the music generation process. For example, if the user expresses fatigue, it can suggest calming music.

[0296] Data analysis and generation method (server side)

[0297] The server analyzes the various data received from the user and converts it into an appropriate format using software libraries such as Python and TensorFlow. The data is then input into a generative AI model, which generates beats, harmonies, and samples based on music trends, user input, and emotional data. For example, if a user selects "electronic dance music," sets the tempo to "128 BPM," the mood to "energetic," and the instrument used to "synthesizer," and the emotional engine recognizes "joy," energetic and positive music material will be generated.

[0298] Results presentation means

[0299] The server sends the generated music material to the device, which receives it and displays it to the user. The generated beats, harmonies, and samples are displayed in list format or in a graphical interface, allowing the user to visually check each element.

[0300] Editing and storage methods

[0301] Users can freely edit the presented music material, adjusting the beat, changing parts of the harmony, and adding new samples. Finally, they are given the ability to save the edited music track on their device, which can then be used as their own original work.

[0302] Specific examples

[0303] For example, the user inputs the following:

[0304] Music Style: Electronic Dance Music

[0305] Tempo: 128BPM

[0306] Atmosphere: Energetic

[0307] Instruments used: Synthesizer

[0308] This information is sent from the device to a server, where an emotion engine simultaneously recognizes the user's "joy" and sends that data to the server. The server then uses this information to generate beats, harmonies, and samples using a generative AI model. The generated beats are energetic and rhythmically synchronized to 128 BPM. The generated harmonies have bright chord progressions, and synthesizer samples accentuate the energetic atmosphere.

[0309] These musical elements are then sent back to the device, where the user can review them in a list format. The user then fine-tunes the harmonies to create the final track, which is then saved on the device. This system allows even beginners to intuitively create high-quality music that matches the user's emotions.

[0310] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0311] Step 1: User login and input

[0312] Specific behavior:

[0313] A user logs into the system using a terminal and enters the required information, including details such as the music style (e.g., electronic dance music), tempo (e.g., 128 BPM), mood (e.g., energetic), and instruments used (e.g., synthesizer).

[0314] input:

[0315] User-entered information about musical style, tempo, mood, and instruments used.

[0316] output:

[0317] The input data is in the format sent from the terminal to the server.

[0318] What happens:

[0319] The terminal receives the data input by the user, converts it into a specified format, and sends it to the server.

[0320] Step 2: Emotion Recognition

[0321] Specific behavior:

[0322] The device uses a built-in emotion engine to analyze the user's facial expressions, voice, typing speed, etc. to capture their emotional state.

[0323] input:

[0324] The user's facial expression, voice, and typing speed.

[0325] output:

[0326] User emotion data (e.g., happiness, tiredness).

[0327] What happens:

[0328] The terminal analyzes the input data using an emotion engine, quantifies the user's emotional state, and transmits the quantified data to the server.

[0329] Step 3: Send data

[0330] Specific behavior:

[0331] The terminal transmits all input data, including the user's emotion data, to the server.

[0332] input:

[0333] Input data (musical style, tempo, atmosphere, instruments used), emotional data.

[0334] output:

[0335] This is the format in which data is sent to the server.

[0336] What happens:

[0337] The terminal collects all data into one packet and transmits it to the server.

[0338] Step 4: Data analysis and generation

[0339] Specific behavior:

[0340] The server analyzes the received user data and inputs the data into a generative AI model, which then generates music data based on the user's emotional state and trend information.

[0341] input:

[0342] User data received by the server (musical style, tempo, atmosphere, instruments used, emotional data).

[0343] output:

[0344] Generated music data (beats, harmonies, samples).

[0345] What happens:

[0346] The server uses software libraries such as Python and TensorFlow to analyze the data and generate optimal music data based on a generative AI model.

[0347] Step 5: Presenting the results

[0348] Specific behavior:

[0349] The server transmits the generated music data to the terminal, which receives it and displays it to the user.

[0350] input:

[0351] Generated music data (beats, harmonies, samples).

[0352] output:

[0353] A list of music data and a graphical interface provided to the user.

[0354] What happens:

[0355] The terminal displays the music data received from the server to the user in list format or waveform display format.

[0356] Step 6: Edit and save

[0357] Specific behavior:

[0358] Users can freely edit the provided music data and save the completed music track on their device.

[0359] input:

[0360] User-initiated editing instructions (e.g., adjusting beats, changing harmonies, adding samples).

[0361] output:

[0362] The final edited music track.

[0363] What happens:

[0364] The device reflects the edited content in real time, and the final edited music track is saved on the device.

[0365] (Application example 2)

[0366] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0367] Conventional music production support systems and background music playback systems generate and play music without considering the user's emotional state, making it difficult to provide music that corresponds to the emotions of customers and shoppers. Furthermore, in situations where optimal music needs to be provided in real time, particularly in physical stores, there is a problem in that music cannot be generated and played appropriately to match the emotions of each customer. This makes it difficult to maintain a consistent store atmosphere and fails to increase customer satisfaction.

[0368] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0369] In this invention, the server includes means for receiving input from a user, means for generating beats, harmonies, and samples using a generative AI model, means for presenting the generated beats, harmonies, and samples to the user, means for editing the generated beats, harmonies, and samples and saving the final track, means for recognizing the emotional state of the customer, and means for generating optimal background music in real time based on the emotional state. This makes it possible to generate and play high-quality music in real time that matches the customer's emotions, thereby creating a more appealing atmosphere in physical stores.

[0370] The "means for receiving input from the user" is an interface through which the user provides input information such as musical style, tempo, atmosphere, and instruments used to the system.

[0371] "Means for generating beats, harmonies, and samples using generative AI models" refers to means for analyzing music trends based on user input information and emotional data, and generating optimal music materials using AI models.

[0372] The "means for presenting the generated beats, harmonies, and samples to the user" refers to an interface that presents the generated musical material in list form or a graphical interface so that the user can visually check it.

[0373] "Means for editing the generated beats, harmonies, and samples and saving the final track" refers to an interface that allows the user to freely edit the generated music material and save it as a final music track.

[0374] The "means for recognizing the emotional state of the customer" refers to a means for analyzing the customer's facial expressions and voice using devices such as cameras and microphones installed in the store and recognizing their emotions.

[0375] "Means for generating optimal background music in real time based on the emotional state" refers to a means for generating optimal background music in real time using a generative AI model based on recognized emotional data, and providing music that matches the atmosphere of the store.

[0376] In this invention, a specific embodiment for implementing an emotion-based automatic BGM generation system for brick-and-mortar stores will be described.

[0377] System Configuration

[0378] The system consists of the following components:

[0379] 1. User input means: An interface through which the user (store staff) inputs information such as musical style, tempo, atmosphere, and instruments used into the system.

[0380] 2. Emotion recognition: Using cameras and microphones in the store, customers' facial expressions and voices are analyzed to recognize their emotional state.

[0381] 3. Data analysis and generation method (server side): The server analyzes the acquired emotional data and the music information entered by the user. The server uses a generative AI model to create optimal background music in real time.

[0382] 4. Result presentation method: The generated background music is played on the in-store sound system.

[0383] 5. Editing and saving means: An interface that allows store staff to freely edit and save the generated background music.

[0384] Program processing

[0385] The server uses the following hardware and software to process and calculate data.

[0386] Hardware:

[0387] Camera (e.g. Logitech C920): Captures customer facial expressions.

[0388] Microphone (e.g. Blue Yeti): To capture the voice of the customer.

[0389] Server: Performs data analysis and music generation.

[0390] software:

[0391] EmotionRecognition (Python libraries and models, e.g., OpenCV, FaceAPI): Recognize emotions from facial expressions and voice.

[0392] MusicGeneration (Python libraries and models, e.g., Magenta, Jukedeck): Generates music based on recognized emotions.

[0393] Data processing and calculation

[0394] The server processes the data as follows:

[0395] 1. Facial expression recognition: Analyzes camera footage frame by frame and estimates the customer's emotions from their facial expressions.

[0396] 2. Voice recognition: Analyzes voice data from the microphone and complements emotions from tension and tone.

[0397] 3. BGM generation: Emotional data is input into the generative AI model to generate optimal background music.

[0398] Specific examples

[0399] For example, if a customer at a cafe looks a little tired in the early afternoon, the system will recognize the "relaxed" emotion and generate and play calming cafe music (e.g., acoustic guitar melody) to help the customer relax and enjoy their tea.

[0400] Prompt Sentence Examples

[0401] Examples of prompts to input to a generative AI model include:

[0402] "If the emotional state in a cafe is recognized as 'Relaxed', generate background music using a calming acoustic guitar."

[0403] In this way, the present invention can create a more attractive atmosphere in a brick-and-mortar store and increase customer satisfaction.

[0404] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0405] Step 1:

[0406] The server receives information from the user (store staff) via user input means, such as the musical style, tempo, atmosphere, and instruments used. This information is used as the basic parameters of the music generated by the system. Examples of input information include "cafe," "relaxed," and "acoustic guitar." Based on this information, the server prepares the data to be used in the next step.

[0407] Step 2:

[0408] The server uses emotion recognition means to analyze video and audio data captured from cameras and microphones in the store. It analyzes the camera footage frame by frame and infers emotions from the customer's facial expressions. It also analyzes the tension and tone of the audio data to obtain complementary emotional data. The input data includes the captured video frames and audio, and by analyzing these, it outputs emotional data such as "relaxed" or "fatigued."

[0409] Step 3:

[0410] The server combines the basic music parameters input in step 1 with the emotional data acquired in step 2. It analyzes these data and inputs them into the generative AI model. The server generates a prompt and provides this prompt to the generative AI model. As a specific example, a prompt might be created such as, "If the emotional state in a cafe is recognized as 'Relaxed,' please generate background music using an acoustic guitar with a calming atmosphere." The input data are the basic music parameters and emotional data, and the output data are the prompt.

[0411] Step 4:

[0412] The server uses a generative AI model to generate music materials (beats, harmonies, and samples) based on the prompt. The generative AI model generates optimal music materials based on trend information and past learning data. The input data is the prompt, and the output data is the generated music materials. Specifically, it generates acoustic guitar beats and harmonies with upbeat chord progressions.

[0413] Step 5:

[0414] The server transmits the generated music material to the store terminal via the result presentation means, and visually presents the results to the user. The user can check the provided music material and perform further editing based on it. The input data is the generated music material, and the output data is a list or a graphical interface presented to the user.

[0415] Step 6:

[0416] The user can freely edit the presented music material using the editing and saving means and save the final track. Editing can include, for example, changing the beat or adding a new sample. The edited final track is played back on the store's sound system. The input data is the generated music material, and the output data is the edited final track.

[0417] This series of processes allows the optimal background music to be generated in real time to match the customer's emotions, making it possible to create an even more appealing atmosphere in a physical store.

[0418] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0419] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0420] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0421] [Second embodiment]

[0422] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0423] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0424] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0425] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0426] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0427] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0428] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0429] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0430] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0431] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0432] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0433] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0434] This invention relates to a music production support system that utilizes generative AI models to intuitively simplify the music production process. The configuration and operation of this system are described in detail below.

[0435] This system mainly consists of the following components:

[0436] 1. User Input Method

[0437] 2. Data analysis and generation method (server side)

[0438] 3. Results presentation means

[0439] 4. Editing and storage methods

[0440] User Input Method

[0441] Users log in to the system via a terminal and provide input information necessary for music creation, including musical style (e.g., electronic dance music, classical, rock), tempo (e.g., 128 BPM), mood (e.g., energetic, mellow), and instruments used (e.g., synthesizer, piano). User input is performed on the terminal, and then the data is sent to the server.

[0442] Data analysis and generation method (server side)

[0443] The server prepares the data received from the user for analysis. First, it analyzes the received data and extracts the musical style, tempo, atmosphere, and instruments used. Then, it uses generative AI models to generate beats, harmonies, and samples based on musical trends and user input. This creates music material that meets the user's requirements.

[0444] For example, let's say a user selects "electronic dance music," sets the tempo to "128 BPM," sets the mood to "energetic," and sets the instrument to "synthesizer." Based on this information, the generative AI model generates optimal rhythmic patterns, pitches, and materials, and compiles them on the server.

[0445] Results presentation means

[0446] The server sends the generated music back to the device, which receives it and displays it to the user. The system displays the generated beats, harmonies, and samples in a list format or in a graphical interface, allowing the user to visually examine each element.

[0447] Editing and storage methods

[0448] Users can freely edit the presented music material on their device. Specifically, they can adjust the generated beat, change parts of the harmony, or add new samples. Finally, they can save the edited music track on their device. This saved track can be used as their own original work.

[0449] Specific examples

[0450] Here is a specific example of how it works: The user inputs the following:

[0451] Music Style: Electronic Dance Music

[0452] Tempo: 128BPM

[0453] Atmosphere: Energetic

[0454] Instruments used: Synthesizer

[0455] This information is sent to a server, which uses a generative AI model to generate beats, harmonies, and samples. The generated beats are energetic and rhythmically aligned to 128 BPM. The generated harmonies have bright chord progressions, and synthesizer samples enhance the energetic atmosphere. These musical elements are then sent back to the device, where the user can review them in a list format. The user can then fine-tune the harmonies to create the final track and save it to their device.

[0456] This system allows even beginners to music production to create high-quality music without going through complicated processes.

[0457] The processing flow will be explained below.

[0458] Step 1:

[0459] The user logs in to the terminal and inputs information for music production, specifying parameters such as musical style, tempo, atmosphere, and instruments to be used.

[0460] Step 2:

[0461] The device receives user input and transmits data to the server, including parameters such as musical style, tempo, atmosphere, and instruments used.

[0462] Step 3:

[0463] The server analyzes the data received from the device. First, it converts the data into an appropriate format for analysis and extracts the necessary parameters (musical style, tempo, atmosphere, instruments used).

[0464] Step 4:

[0465] The server uses a generative AI model to generate beats, harmonies, and samples based on the received parameters. The generative AI model analyzes music trend data and generates high-quality music material.

[0466] Step 5:

[0467] The server compiles the generated beats, harmonies, and samples and sends them back to the device as a single response, which contains the generated musical material.

[0468] Step 6:

[0469] The device receives the response from the server and displays the generated results to the user, who can visually check the beat, harmony, and samples.

[0470] Step 7:

[0471] Users can edit the generated music on their device, adjusting the beat, changing the harmonies, and adding new samples.

[0472] Step 8:

[0473] After the user completes the editing, the device saves the final track, which can then be used as the user's own creation.

[0474] Example 1

[0475] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0476] Music production requires advanced knowledge and skills, making it difficult for beginners to produce high-quality music. Furthermore, existing tools often make it difficult for users to intuitively operate them, and editing and saving the generated music material is often cumbersome. This invention provides a system that utilizes generative AI models to enable users to intuitively produce high-quality music.

[0477] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0478] In this invention, the server includes means for receiving input from a user, means for analyzing the input and generating musical elements using a generative AI model, means for presenting the generated musical elements to the user, and means for editing the generated musical elements and saving the final track, thereby enabling users to create, edit, and save high-quality music using intuitive operations.

[0479] "User" refers to an individual or organization that uses the system to create music.

[0480] "Input" is information provided by the user through the system, including the type of music, time signature, mood, instruments used, etc.

[0481] A "generative AI model" refers to an artificial intelligence technology that generates musical elements based on received input information.

[0482] "Musical Elements" refers to the basic elements needed for music production, such as generated beats, harmonies, and samples.

[0483] "Type of music" refers to a specific genre or style, such as electronic dance music or classical music.

[0484] "Time signature" is an element that represents the speed and rhythm of music, and is specifically expressed in BPM (Beats Per Minute).

[0485] "Mood" is an element that describes the atmosphere or emotion of music, and can include energetic or calm.

[0486] "Instruments used" refers to the specific instruments used in music production, including synthesizers and pianos.

[0487] "Musical trends" refer to styles and characteristics that are currently popular in the music industry.

[0488] "Real-time" refers to data being processed and analyzed as it occurs.

[0489] "Royalty free" refers to material that does not require copyright royalties, which reduces licensing risk.

[0490] "Materials" refers to the sound sources and samples used in music production.

[0491] "Track" refers to a completed musical composition.

[0492] This invention relates to a music production support system that utilizes generative AI models to intuitively simplify the music production process. The system configuration and operation are explained in detail below. This system is mainly composed of the following components:

[0493] 1. User Input Method

[0494] Users log in to the system via a terminal and provide input information necessary for music creation, including musical style (e.g., electronic dance music), tempo (e.g., 128 BPM), mood (e.g., energetic), instruments used (e.g., synthesizer), etc. User input is made on the terminal, and then the data is sent to the server.

[0495] 2. Data analysis and generation method (server side)

[0496] The server prepares the data received from the user for analysis. First, it analyzes the received data and extracts the musical style, tempo, atmosphere, and instruments used. Then, it uses generative AI models to generate beats, harmonies, and samples based on musical trends and user input. This creates music material that meets the user's requirements.

[0497] For example, let's say a user selects "electronic dance music," sets the tempo to "128 BPM," sets the mood to "energetic," and sets the instrument to "synthesizer." Based on this information, the generative AI model generates optimal rhythmic patterns, pitches, and materials, and compiles them on the server.

[0498] 3. Results presentation means

[0499] The server sends the generated music back to the device, which receives it and displays it to the user. The system displays the generated beats, harmonies, and samples in a list format or in a graphical interface, allowing the user to visually examine each element.

[0500] 4. Editing and storage methods

[0501] Users can freely edit the presented music material on their device. Specifically, they can adjust the generated beat, change parts of the harmony, or add new samples. Finally, they are provided with the ability to save the edited music track on their device. This saved track can then be used as the user's own original work.

[0502] Specific examples

[0503] Here's a concrete example of how it works: The user enters the following:

[0504] Music Style: Electronic Dance Music

[0505] Tempo: 128BPM

[0506] Atmosphere: Energetic

[0507] Instruments used: Synthesizer

[0508] This information is then sent to the server, which uses a generative AI model to generate beats, harmonies, and samples. The generated beats are energetic and rhythmically aligned to 128 BPM. The generated harmonies have bright chord progressions, and synthesizer samples enhance the energetic atmosphere. These musical elements are then sent back to the device, where the user can review them in list format. The user can then fine-tune the harmonies to create the final track and save it on their device. This allows even beginners to create high-quality music without going through a complicated process.

[0509] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0510] Step 1:

[0511] User input

[0512] The user logs into the system using a terminal and inputs information for music production, including the musical style, tempo, atmosphere, instruments used, etc. After inputting this information, the user clicks the "Submit" button.

[0513] Input and Output

[0514] Input: User-supplied information about musical style, tempo, mood, and instruments used

[0515] Output: A dataset of input information

[0516] Specific actions

[0517] 1. The user starts the application and enters their user ID and password on the login screen.

[0518] 2. The music production screen appears and the user selects a music style (e.g., electronic dance music).

[0519] 3. Enter the tempo (e.g. 128 BPM), mood (e.g. energetic), and instruments used (e.g. synthesizer) in that order.

[0520] 4. Click the "Submit" button to send the entered information to the server.

[0521] Step 2:

[0522] Sending input data

[0523] The terminal transmits the data entered by the user to the server.

[0524] Input and Output

[0525] Input: Data about your music production entered by you

[0526] Output: Data sent to the server

[0527] Specific actions

[0528] 1. When the user clicks the "Submit" button, the entered data is sent from the terminal to the server.

[0529] 2. The server sends a confirmation message to the terminal confirming receipt of the data.

[0530] Step 3:

[0531] Data Analysis and Generation

[0532] The server analyzes the received data and uses generative AI models to generate musical elements (beats, harmonies, samples).

[0533] Input and Output

[0534] Input: Music style, tempo, mood, and instrument information sent from your device

[0535] Output: Generated musical elements (beats, harmonies, samples)

[0536] Specific actions

[0537] 1. The server analyzes the received data and extracts the musical style, tempo, atmosphere, and instruments used.

[0538] 2. Based on the analysis results, a generative AI model generates beats, harmonies, and samples.

[0539] 3. The server organizes the generated musical elements and prepares the results for transmission to the device.

[0540] Step 4:

[0541] Presenting the generated results

[0542] The server returns the generated music material to the terminal, which receives it and displays it to the user.

[0543] Input and Output

[0544] Input: Generated musical elements

[0545] Output: The musical elements presented to the user

[0546] Specific actions

[0547] 1. The server sends the generated music material to the device.

[0548] 2. The terminal analyzes the received data and displays it to the user in a list format or in a graphical interface.

[0549] Step 5:

[0550] User edits

[0551] Users are free to edit the presented music by adjusting the beat, changing the harmony, or adding new samples.

[0552] Input and Output

[0553] Input: Generated musical elements and user editing operations

[0554] Output: Edited musical elements

[0555] Specific actions

[0556] 1. The user selects the beat they want to edit from the list and adjusts the rhythm and tempo.

[0557] 2. Click on a part of the harmony to change the chord progression.

[0558] 3. Add new samples if necessary.

[0559] Step 6:

[0560] Saving the finished track

[0561] Save the edited music track to your device.

[0562] Input and Output

[0563] Input: Edited musical elements

[0564] Output: Final saved track

[0565] Specific actions

[0566] 1. The user clicks the "Save" button.

[0567] 2. The edited music track will be saved to your device's storage.

[0568] (Application example 1)

[0569] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0570] Existing music production support systems are difficult to operate even for beginners and lack real-time music generation functionality that can instantly adapt to specific environments and situations. Furthermore, the inability to quickly change the music environment in stores and other locations makes it difficult to improve the quality of the customer experience. Furthermore, managing copyright and licensing risks for the generated music materials is also an issue.

[0571] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0572] In this invention, the server includes a means for receiving input from a user, a means for generating and presenting environmentally adaptive music materials in real time using a generative AI model, a means for editing and saving the generated music materials, and a means for instantly playing the generated music materials using a smart device. This enables real-time environmentally adaptive music generation, allowing for quick changes to the atmosphere of a store. Furthermore, since even beginners can intuitively operate the system, a wide range of users can create high-quality music. Furthermore, by integrating royalty-free samples, copyright and licensing risks can be reduced.

[0573] The "means for receiving input from the user" is an interface that allows the user to provide the system with the information necessary for music production.

[0574] "Means for generating beats, harmonies, and samples using generative AI models" means means for automatically generating musical beats, harmonies, and samples based on input information using AI technology.

[0575] The "means for presenting the generated beats, harmonies, and samples to the user" refers to an interface for visually or aurally presenting the generated musical material to the user.

[0576] "Means for editing the generated beats, harmonies, and samples and saving the final track" is a function that allows the user to freely edit the generated music material and save it as a final music track.

[0577] "Means for using a smart device to present real-time generated musical material and instantly play environmentally adaptive music" refers to means for using a smart device (e.g., smart glasses) to play generated musical material on the spot and adapt it to the environment.

[0578] "Means for analyzing music trends in real time and inputting them into the generative AI model" is a function for analyzing current music trends and reflecting that information in the generative AI model.

[0579] The "means for generating music that matches the atmosphere of a store or a specific environment" is a function for generating music that is suited to the atmosphere of a specific place or scene.

[0580] "Methods for integrating royalty-free samples to mitigate copyright and licensing risks" refers to methods for reducing legal risks by using music samples that are free from copyright and licensing risks.

[0581] This invention relates to a system that utilizes generative AI models to intuitively simplify music production. The configuration and operation of this system are described in detail below.

[0582] The system mainly consists of the following components:

[0583] 1. User Input Method

[0584] 2. Data analysis and generation method (server side)

[0585] 3. Results presentation means

[0586] 4. Editing and storage methods

[0587] 5. Real-time playback (using smart devices)

[0588] User Input Method

[0589] Users log in to the system via their smart devices or terminals and provide the necessary input information for music creation, including musical style (e.g., jazz, pop), tempo (e.g., 120 BPM), mood (e.g., relaxed, upbeat), and instruments (e.g., guitar, drums). User input is made on the terminal or smart glasses, and the data is then sent to the server.

[0590] Data analysis and generation method (server side)

[0591] The server analyzes the data received from the user. First, it analyzes the received data and extracts the musical style, tempo, atmosphere, and instruments used. Then, it uses a generative AI model to generate beats, harmonies, and samples based on musical trends and user input. This creates music material that meets the user's requirements.

[0592] For example, suppose a user selects "Jazz," sets the tempo to "120 BPM," sets the mood to "Relaxed," and sets the instrument to "Guitar." Based on this information, the generative AI model generates optimal rhythm patterns, pitches, and materials, and compiles them on the server.

[0593] Results presentation means

[0594] The server sends the generated music back to the device in real time, where the device or smart glasses receive it and display it to the user. The system displays the generated beats, harmonies, and samples in list format or in a graphical interface, allowing the user to visually examine each element.

[0595] Editing and storage methods

[0596] Users can freely edit the presented music material on their terminal or smart device. Specifically, they can adjust the generated beat, change parts of the harmony, or add new samples. Finally, they are provided with the ability to save the edited music track on their terminal or server. This saved track can then be used as the user's own original work.

[0597] Real-time playback method (using smart devices)

[0598] The system uses smart devices such as smart glasses to play the generated music in real time, allowing users to instantly adapt the music to specific locations and situations. For example, when setting up a new promotional corner in a store, music generated on the spot can be played instantly to create a lively atmosphere.

[0599] Specific examples

[0600] The user enters the following:

[0601] Music Style: Jazz

[0602] Tempo: 120BPM

[0603] Atmosphere: Relaxed

[0604] Instrument: Guitar

[0605] This information is sent to a server, which uses a generative AI model to generate beats, harmonies, and samples. The generated beats have a relaxed atmosphere and a rhythmic feel that matches the 120 BPM rhythm. The generated harmonies have a soothing chord progression, and guitar samples emphasize the relaxed atmosphere. These musical elements are then sent back to the terminal or smart device, where the user can review them and make adjustments as needed. The final track is saved, and the system also plays it back in real time.

[0606] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0607] Step 1:

[0608] A user logs in to the system using a smart device or terminal and inputs the information necessary for music production. This input includes the musical style, tempo, atmosphere, and instruments used. For example, a user might input prompts such as "jazz," "120 BPM," "relaxed," and "guitar." This input data is sent to the server.

[0609] Step 2:

[0610] The server analyzes the received data and extracts musical style, tempo, atmosphere, and instruments used. Through this data analysis, it specifically understands the user's request. The input data includes "jazz," "120 BPM," "relaxed," and "guitar," and it analyzes and converts this data into a format that can be input into the generative AI model.

[0611] Step 3:

[0612] The server uses a generative AI model based on the analyzed data to generate beats, harmonies, and samples. The AI ​​model generates optimal rhythm patterns, pitches, and samples based on music trends and input data. For example, the generative AI model generates relaxing jazz beats and harmonies corresponding to "Jazz," "120 BPM," "Relax," and "Guitar." The generated data is stored on the server as a series of musical materials: beats, harmonies, and samples.

[0613] Step 4:

[0614] The server sends the generated music back to the terminal or smart device. The music is presented visually in a list format or through an interface. The user can receive and listen to this information in real time. For example, the generated jazz beat and harmonies can be displayed on the display of smart glasses, allowing the user to check them immediately.

[0615] Step 5:

[0616] Users can use the function to edit the presented music material. As input data, they input the parts they want to tweak again through the interface. For example, they can tweak the beat speed or change a part of the harmony. This edit content is then analyzed again by the server, and updated music material is generated.

[0617] Step 6:

[0618] Once the editing is complete, the user saves the music track. The saved data is stored on the device or server and can be reused later. Specifically, the final track created by the user is saved in the cloud and can be accessed at any time.

[0619] Step 7:

[0620] The system uses smart devices to play the generated music in real time. For example, smart glasses can play music tracks on the spot to adjust the atmosphere in the store in real time. This allows store employees to select the right music on the spot and instantly adapt to the environment. This real-time playback improves the customer experience.

[0621] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0622] This invention relates to a system for supporting music production that utilizes a generative AI model and combines it with an emotion engine that recognizes the user's emotions. The configuration and operation of this system are described in detail below.

[0623] This system mainly consists of the following components:

[0624] 1. User Input Method

[0625] 2. Emotion recognition means

[0626] 3. Data analysis and generation method (server side)

[0627] 4. Results presentation means

[0628] 5. Editing and storage methods

[0629] User Input Method

[0630] Users log in to the system via their terminal and provide input information necessary for music creation, including musical style (e.g., electronic dance music, classical, rock), tempo (e.g., 128 BPM), mood (e.g., energetic, mellow), and instruments used (e.g., synthesizer, piano). The input data is sent from the terminal to the server.

[0631] emotion recognition means

[0632] The device is equipped with an emotion engine that recognizes the user's emotional state based on data such as facial expressions, voice, and typing speed. This emotion data is sent to the server to be used in the music generation process. For example, if the user expresses fatigue, it can suggest music with a calming atmosphere.

[0633] Data analysis and generation method (server side)

[0634] The server analyzes various data received from the user (musical style, tempo, atmosphere, instruments used, emotional state). The received data is converted into an appropriate format for analysis and input into a generative AI model. The generative AI model generates beats, harmonies, and samples based on music trends, user input, and emotional data. This process generates optimal musical material tailored to the user's state.

[0635] For example, if a user selects "electronic dance music," inputs the tempo as "128 BPM," the atmosphere as "energetic," and the instrument used as "synthesizer," and the emotion engine recognizes the user's "joy," energetic and positive beats, harmonies, and samples will be generated.

[0636] Results presentation means

[0637] The server sends the generated music back to the device, which receives it and displays the results to the user. The system displays the generated beats, harmonies, and samples in a list format or in a graphical interface, allowing the user to visually check each element.

[0638] Editing and storage methods

[0639] Users can freely edit the presented music material on their device. They can adjust the beat, change parts of the harmony, or add new samples. Finally, they can save the edited music track on their device. This saved track can then be used as their own original work.

[0640] Specific examples

[0641] Here is a specific example of how it works: The user inputs the following:

[0642] Music Style: Electronic Dance Music

[0643] Tempo: 128BPM

[0644] Atmosphere: Energetic

[0645] Instruments used: Synthesizer

[0646] This information is sent from the device to the server. At the same time, the emotion engine recognizes the user's "joy" and sends this data to the server. The server uses this information to generate beats, harmonies, and samples using a generative AI model. The generated beats are energetic and have a rhythmic feel that matches 128 BPM. The generated harmonies have bright chord progressions, and synthesizer samples emphasize the energetic atmosphere. These musical elements are sent back to the device, where the user can review them in list format. The user can then fine-tune the harmonies to create the final track and save it on the device.

[0647] In this way, the present invention, which combines an emotion engine, can provide a system that enables even beginners in music production to intuitively create high-quality music that matches their own emotions.

[0648] The processing flow will be explained below.

[0649] Step 1:

[0650] A user logs in to a terminal and provides input information for music production, specifying parameters such as musical style, tempo, atmosphere, and instruments to be used.

[0651] Step 2:

[0652] The device uses an emotion engine to analyze the user's facial expressions, voice, typing speed, etc. to recognize the user's emotional state. The recognized emotional data is used to generate music.

[0653] Step 3:

[0654] The terminal compiles the user's input information and emotional data and transmits them to the server, including the musical style, tempo, atmosphere, instruments used, and emotional state.

[0655] Step 4:

[0656] The server analyzes the data received from the device. First, it converts the received data into an appropriate format for analysis and extracts the necessary parameters (musical style, tempo, atmosphere, instruments used, emotional state).

[0657] Step 5:

[0658] The server uses a generative AI model to generate beats, harmonies, and samples based on the extracted parameters, taking into account music trend data and the user's emotional state.

[0659] Step 6:

[0660] The server sends the generated beats, harmonies, and samples back to the device as a single response, which contains the generated musical material.

[0661] Step 7:

[0662] The device receives the response from the server and displays the generated results to the user, who can visually check the beat, harmony, and samples.

[0663] Step 8:

[0664] Users can edit the generated music on their device, adjusting the beat, changing the harmonies, and adding new samples.

[0665] Step 9:

[0666] After the user completes the editing, the device saves the final track, which can then be used as the user's own creation.

[0667] For example, if a user selects electronic dance music, inputs the tempo as "128 BPM," the mood as "energetic," and the instrument as "synthesizer," and the emotion engine recognizes the user's "joy," the generated music material will have an energetic and positive atmosphere. Users can then edit and save the final track to create their own high-quality music.

[0668] Example 2

[0669] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0670] Currently, many music production support systems provide music materials without considering the user's emotional state. This makes it difficult to generate music that suits the user's emotional state, making it difficult for even beginners to intuitively create high-quality music. Furthermore, they do not adequately reflect real-time music trends or mitigate risks by using royalty-free samples. This creates a demand for more personalized music production support.

[0671] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0672] In this invention, the server includes a means for receiving input from a user, a means for analyzing the user's emotional state received from the terminal, a means for generating music data based on the analyzed user's emotional state, a means for presenting the generated music data to the user, and a means for editing the generated music data and saving the final information. This allows for the generation of music materials suited to the user's emotional state, allowing the user to intuitively create high-quality music. Furthermore, it is possible to reflect music trends in real time and reduce risk by using royalty-free samples.

[0673] "User" means an individual or entity that operates the music production system to generate and edit music.

[0674] A "server" is a computer system that receives data from users and creates music data using analytical and generative AI models.

[0675] A "terminal" is a device (such as a PC, smartphone, or tablet) that allows a user to input data and to check and edit the generated music data.

[0676] A "generative AI model" is an artificial intelligence model that automatically generates music data based on a certain algorithm.

[0677] "Music Style" refers to the type of music entered by the user (e.g., electronic dance music, classical, rock).

[0678] "Tempo" refers to the speed (in BPM) of the music input by the user.

[0679] "Atmosphere" refers to the emotional tone or mood of the music (e.g., energetic, calm).

[0680] "Instruments used" refers to the types of instruments (e.g., synthesizer, piano) used in music production.

[0681] "Emotional state" refers to the user's psychological state (e.g., joy, tiredness) that is input by the user to the system or analyzed by the system.

[0682] "Trend information" refers to the latest trends in music genres and styles.

[0683] "Royalty free" means that there is no additional payment obligation for use.

[0684] "Risk" refers to legal dangers such as rights issues and copyright infringement.

[0685] "Editing" refers to the process in which a user makes changes or modifications to the generated music data.

[0686] "Final information" refers to the final version of music data that the user has saved after editing.

[0687] The present invention relates to a system for supporting music production that utilizes a generative AI model and combines it with an emotion engine that recognizes the user's emotions. The system mainly includes the following components:

[0688] User Input Method

[0689] Users log in to the system using a terminal and enter information necessary for music creation, including details such as musical style (e.g., electronic dance music), tempo (e.g., 128 BPM), atmosphere (e.g., energetic), and instruments used (e.g., synthesizer). This data is then sent from the terminal to the server.

[0690] emotion recognition means

[0691] The device uses a built-in emotion engine to analyze the user's facial expressions, voice, typing speed, etc. to detect the user's emotional state. This emotion data is also sent to the server and used in the music generation process. For example, if the user expresses fatigue, it can suggest calming music.

[0692] Data analysis and generation method (server side)

[0693] The server analyzes the various data received from the user and converts it into an appropriate format using software libraries such as Python and TensorFlow. The data is then input into a generative AI model, which generates beats, harmonies, and samples based on music trends, user input, and emotional data. For example, if a user selects "electronic dance music," sets the tempo to "128 BPM," the mood to "energetic," and the instrument used to "synthesizer," and the emotional engine recognizes "joy," energetic and positive music material will be generated.

[0694] Results presentation means

[0695] The server sends the generated music material to the device, which receives it and displays it to the user. The generated beats, harmonies, and samples are displayed in list format or in a graphical interface, allowing the user to visually check each element.

[0696] Editing and storage methods

[0697] Users can freely edit the presented music material, adjusting the beat, changing parts of the harmony, and adding new samples. Finally, they are given the ability to save the edited music track on their device, which can then be used as their own original work.

[0698] Specific examples

[0699] For example, the user inputs the following:

[0700] Music Style: Electronic Dance Music

[0701] Tempo: 128BPM

[0702] Atmosphere: Energetic

[0703] Instruments used: Synthesizer

[0704] This information is sent from the device to a server, where an emotion engine simultaneously recognizes the user's "joy" and sends that data to the server. The server then uses this information to generate beats, harmonies, and samples using a generative AI model. The generated beats are energetic and rhythmically synchronized to 128 BPM. The generated harmonies have bright chord progressions, and synthesizer samples accentuate the energetic atmosphere.

[0705] These musical elements are then sent back to the device, where the user can review them in a list format. The user then fine-tunes the harmonies to create the final track, which is then saved on the device. This system allows even beginners to intuitively create high-quality music that matches the user's emotions.

[0706] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0707] Step 1: User login and input

[0708] Specific behavior:

[0709] A user logs into the system using a terminal and enters the required information, including details such as the music style (e.g., electronic dance music), tempo (e.g., 128 BPM), mood (e.g., energetic), and instruments used (e.g., synthesizer).

[0710] input:

[0711] User-entered information about musical style, tempo, mood, and instruments used.

[0712] output:

[0713] The input data is in the format sent from the terminal to the server.

[0714] What happens:

[0715] The terminal receives the data input by the user, converts it into a specified format, and sends it to the server.

[0716] Step 2: Emotion Recognition

[0717] Specific behavior:

[0718] The device uses a built-in emotion engine to analyze the user's facial expressions, voice, typing speed, etc. to capture their emotional state.

[0719] input:

[0720] The user's facial expression, voice, and typing speed.

[0721] output:

[0722] User emotion data (e.g., happiness, tiredness).

[0723] What happens:

[0724] The terminal analyzes the input data using an emotion engine, quantifies the user's emotional state, and transmits the quantified data to the server.

[0725] Step 3: Send data

[0726] Specific behavior:

[0727] The terminal transmits all input data, including the user's emotion data, to the server.

[0728] input:

[0729] Input data (musical style, tempo, atmosphere, instruments used), emotional data.

[0730] output:

[0731] This is the format in which data is sent to the server.

[0732] What happens:

[0733] The terminal collects all data into one packet and transmits it to the server.

[0734] Step 4: Data analysis and generation

[0735] Specific behavior:

[0736] The server analyzes the received user data and inputs the data into a generative AI model, which then generates music data based on the user's emotional state and trend information.

[0737] input:

[0738] User data received by the server (musical style, tempo, atmosphere, instruments used, emotional data).

[0739] output:

[0740] Generated music data (beats, harmonies, samples).

[0741] What happens:

[0742] The server uses software libraries such as Python and TensorFlow to analyze the data and generate optimal music data based on a generative AI model.

[0743] Step 5: Presenting the results

[0744] Specific behavior:

[0745] The server transmits the generated music data to the terminal, which receives it and displays it to the user.

[0746] input:

[0747] Generated music data (beats, harmonies, samples).

[0748] output:

[0749] A list of music data and a graphical interface provided to the user.

[0750] What happens:

[0751] The terminal displays the music data received from the server to the user in list format or waveform display format.

[0752] Step 6: Edit and save

[0753] Specific behavior:

[0754] Users can freely edit the provided music data and save the completed music track on their device.

[0755] input:

[0756] User-initiated editing instructions (e.g., adjusting beats, changing harmonies, adding samples).

[0757] output:

[0758] The final edited music track.

[0759] What happens:

[0760] The device reflects the edited content in real time, and the final edited music track is saved on the device.

[0761] (Application example 2)

[0762] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0763] Conventional music production support systems and background music playback systems generate and play music without considering the user's emotional state, making it difficult to provide music that corresponds to the emotions of customers and shoppers. Furthermore, in situations where optimal music needs to be provided in real time, particularly in physical stores, there is a problem in that music cannot be generated and played appropriately to match the emotions of each customer. This makes it difficult to maintain a consistent store atmosphere and fails to increase customer satisfaction.

[0764] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0765] In this invention, the server includes means for receiving input from a user, means for generating beats, harmonies, and samples using a generative AI model, means for presenting the generated beats, harmonies, and samples to the user, means for editing the generated beats, harmonies, and samples and saving the final track, means for recognizing the emotional state of the customer, and means for generating optimal background music in real time based on the emotional state. This makes it possible to generate and play high-quality music in real time that matches the customer's emotions, thereby creating a more appealing atmosphere in physical stores.

[0766] The "means for receiving input from the user" is an interface through which the user provides input information such as musical style, tempo, atmosphere, and instruments used to the system.

[0767] "Means for generating beats, harmonies, and samples using generative AI models" refers to means for analyzing music trends based on user input information and emotional data, and generating optimal music materials using AI models.

[0768] The "means for presenting the generated beats, harmonies, and samples to the user" refers to an interface that presents the generated musical material in list form or a graphical interface so that the user can visually check it.

[0769] "Means for editing the generated beats, harmonies, and samples and saving the final track" refers to an interface that allows the user to freely edit the generated music material and save it as a final music track.

[0770] The "means for recognizing the emotional state of the customer" refers to a means for analyzing the customer's facial expressions and voice using devices such as cameras and microphones installed in the store and recognizing their emotions.

[0771] "Means for generating optimal background music in real time based on the emotional state" refers to a means for generating optimal background music in real time using a generative AI model based on recognized emotional data, and providing music that matches the atmosphere of the store.

[0772] In this invention, a specific embodiment for implementing an emotion-based automatic BGM generation system for brick-and-mortar stores will be described.

[0773] System Configuration

[0774] The system consists of the following components:

[0775] 1. User input means: An interface through which the user (store staff) inputs information such as musical style, tempo, atmosphere, and instruments used into the system.

[0776] 2. Emotion recognition: Using cameras and microphones in the store, customers' facial expressions and voices are analyzed to recognize their emotional state.

[0777] 3. Data analysis and generation method (server side): The server analyzes the acquired emotional data and the music information entered by the user. The server uses a generative AI model to create optimal background music in real time.

[0778] 4. Result presentation method: The generated background music is played on the in-store sound system.

[0779] 5. Editing and saving means: An interface that allows store staff to freely edit and save the generated background music.

[0780] Program processing

[0781] The server uses the following hardware and software to process and calculate data.

[0782] Hardware:

[0783] Camera (e.g. Logitech C920): Captures customer facial expressions.

[0784] Microphone (e.g. Blue Yeti): To capture the voice of the customer.

[0785] Server: Performs data analysis and music generation.

[0786] software:

[0787] EmotionRecognition (Python libraries and models, e.g., OpenCV, FaceAPI): Recognize emotions from facial expressions and voice.

[0788] MusicGeneration (Python libraries and models, e.g., Magenta, Jukedeck): Generates music based on recognized emotions.

[0789] Data processing and calculation

[0790] The server processes the data as follows:

[0791] 1. Facial expression recognition: Analyzes camera footage frame by frame and estimates the customer's emotions from their facial expressions.

[0792] 2. Voice recognition: Analyzes voice data from the microphone and complements emotions from tension and tone.

[0793] 3. BGM generation: Emotional data is input into the generative AI model to generate optimal background music.

[0794] Specific examples

[0795] For example, if a customer at a cafe looks a little tired in the early afternoon, the system will recognize the "relaxed" emotion and generate and play calming cafe music (e.g., acoustic guitar melody) to help the customer relax and enjoy their tea.

[0796] Prompt Sentence Examples

[0797] Examples of prompts to input to a generative AI model include:

[0798] "If the emotional state in a cafe is recognized as 'Relaxed', generate background music using a calming acoustic guitar."

[0799] In this way, the present invention can create a more attractive atmosphere in a brick-and-mortar store and increase customer satisfaction.

[0800] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0801] Step 1:

[0802] The server receives information from the user (store staff) via user input means, such as the musical style, tempo, atmosphere, and instruments used. This information is used as the basic parameters of the music generated by the system. Examples of input information include "cafe," "relaxed," and "acoustic guitar." Based on this information, the server prepares the data to be used in the next step.

[0803] Step 2:

[0804] The server uses emotion recognition means to analyze video and audio data captured from cameras and microphones in the store. It analyzes the camera footage frame by frame and infers emotions from the customer's facial expressions. It also analyzes the tension and tone of the audio data to obtain complementary emotional data. The input data includes the captured video frames and audio, and by analyzing these, it outputs emotional data such as "relaxed" or "fatigued."

[0805] Step 3:

[0806] The server combines the basic music parameters input in step 1 with the emotional data acquired in step 2. It analyzes these data and inputs them into the generative AI model. The server generates a prompt and provides this prompt to the generative AI model. As a specific example, a prompt might be created such as, "If the emotional state in a cafe is recognized as 'Relaxed,' please generate background music using an acoustic guitar with a calming atmosphere." The input data are the basic music parameters and emotional data, and the output data are the prompt.

[0807] Step 4:

[0808] The server uses a generative AI model to generate music materials (beats, harmonies, and samples) based on the prompt. The generative AI model generates optimal music materials based on trend information and past learning data. The input data is the prompt, and the output data is the generated music materials. Specifically, it generates acoustic guitar beats and harmonies with upbeat chord progressions.

[0809] Step 5:

[0810] The server transmits the generated music material to the store terminal via the result presentation means, and visually presents the results to the user. The user can check the provided music material and perform further editing based on it. The input data is the generated music material, and the output data is a list or a graphical interface presented to the user.

[0811] Step 6:

[0812] The user can freely edit the presented music material using the editing and saving means and save the final track. Editing can include, for example, changing the beat or adding a new sample. The edited final track is played back on the store's sound system. The input data is the generated music material, and the output data is the edited final track.

[0813] This series of processes allows the optimal background music to be generated in real time to match the customer's emotions, making it possible to create an even more appealing atmosphere in a physical store.

[0814] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0815] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0816] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0817] [Third embodiment]

[0818] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0819] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0820] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0821] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0822] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0823] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0824] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0825] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0826] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0827] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0828] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0829] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0830] This invention relates to a music production support system that utilizes generative AI models to intuitively simplify the music production process. The configuration and operation of this system are described in detail below.

[0831] This system mainly consists of the following components:

[0832] 1. User Input Method

[0833] 2. Data analysis and generation method (server side)

[0834] 3. Results presentation means

[0835] 4. Editing and storage methods

[0836] User Input Method

[0837] Users log in to the system via a terminal and provide input information necessary for music creation, including musical style (e.g., electronic dance music, classical, rock), tempo (e.g., 128 BPM), mood (e.g., energetic, mellow), and instruments used (e.g., synthesizer, piano). User input is performed on the terminal, and then the data is sent to the server.

[0838] Data analysis and generation method (server side)

[0839] The server prepares the data received from the user for analysis. First, it analyzes the received data and extracts the musical style, tempo, atmosphere, and instruments used. Then, it uses generative AI models to generate beats, harmonies, and samples based on musical trends and user input. This creates music material that meets the user's requirements.

[0840] For example, let's say a user selects "electronic dance music," sets the tempo to "128 BPM," sets the mood to "energetic," and sets the instrument to "synthesizer." Based on this information, the generative AI model generates optimal rhythmic patterns, pitches, and materials, and compiles them on the server.

[0841] Results presentation means

[0842] The server sends the generated music back to the device, which receives it and displays it to the user. The system displays the generated beats, harmonies, and samples in a list format or in a graphical interface, allowing the user to visually examine each element.

[0843] Editing and storage methods

[0844] Users can freely edit the presented music material on their device. Specifically, they can adjust the generated beat, change parts of the harmony, or add new samples. Finally, they can save the edited music track on their device. This saved track can be used as their own original work.

[0845] Specific examples

[0846] Here is a specific example of how it works: The user inputs the following:

[0847] Music Style: Electronic Dance Music

[0848] Tempo: 128BPM

[0849] Atmosphere: Energetic

[0850] Instruments used: Synthesizer

[0851] This information is sent to a server, which uses a generative AI model to generate beats, harmonies, and samples. The generated beats are energetic and rhythmically aligned to 128 BPM. The generated harmonies have bright chord progressions, and synthesizer samples enhance the energetic atmosphere. These musical elements are then sent back to the device, where the user can review them in a list format. The user can then fine-tune the harmonies to create the final track and save it to their device.

[0852] This system allows even beginners to music production to create high-quality music without going through complicated processes.

[0853] The processing flow will be explained below.

[0854] Step 1:

[0855] The user logs in to the terminal and inputs information for music production, specifying parameters such as musical style, tempo, atmosphere, and instruments to be used.

[0856] Step 2:

[0857] The device receives user input and transmits data to the server, including parameters such as musical style, tempo, atmosphere, and instruments used.

[0858] Step 3:

[0859] The server analyzes the data received from the device. First, it converts the data into an appropriate format for analysis and extracts the necessary parameters (musical style, tempo, atmosphere, instruments used).

[0860] Step 4:

[0861] The server uses a generative AI model to generate beats, harmonies, and samples based on the received parameters. The generative AI model analyzes music trend data and generates high-quality music material.

[0862] Step 5:

[0863] The server compiles the generated beats, harmonies, and samples and sends them back to the device as a single response, which contains the generated musical material.

[0864] Step 6:

[0865] The device receives the response from the server and displays the generated results to the user, who can visually check the beat, harmony, and samples.

[0866] Step 7:

[0867] Users can edit the generated music on their device, adjusting the beat, changing the harmonies, and adding new samples.

[0868] Step 8:

[0869] After the user completes the editing, the device saves the final track, which can then be used as the user's own creation.

[0870] Example 1

[0871] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0872] Music production requires advanced knowledge and skills, making it difficult for beginners to produce high-quality music. Furthermore, existing tools often make it difficult for users to intuitively operate them, and editing and saving the generated music material is often cumbersome. This invention provides a system that utilizes generative AI models to enable users to intuitively produce high-quality music.

[0873] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0874] In this invention, the server includes means for receiving input from a user, means for analyzing the input and generating musical elements using a generative AI model, means for presenting the generated musical elements to the user, and means for editing the generated musical elements and saving the final track, thereby enabling users to create, edit, and save high-quality music using intuitive operations.

[0875] "User" refers to an individual or organization that uses the system to create music.

[0876] "Input" is information provided by the user through the system, including the type of music, time signature, mood, instruments used, etc.

[0877] A "generative AI model" refers to an artificial intelligence technology that generates musical elements based on received input information.

[0878] "Musical Elements" refers to the basic elements needed for music production, such as generated beats, harmonies, and samples.

[0879] "Type of music" refers to a specific genre or style, such as electronic dance music or classical music.

[0880] "Time signature" is an element that represents the speed and rhythm of music, and is specifically expressed in BPM (Beats Per Minute).

[0881] "Mood" is an element that describes the atmosphere or emotion of music, and can include energetic or calm.

[0882] "Instruments used" refers to the specific instruments used in music production, including synthesizers and pianos.

[0883] "Musical trends" refer to styles and characteristics that are currently popular in the music industry.

[0884] "Real-time" refers to data being processed and analyzed as it occurs.

[0885] "Royalty free" refers to material that does not require copyright royalties, which reduces licensing risk.

[0886] "Materials" refers to the sound sources and samples used in music production.

[0887] "Track" refers to a completed musical composition.

[0888] This invention relates to a music production support system that utilizes generative AI models to intuitively simplify the music production process. The system configuration and operation are explained in detail below. This system is mainly composed of the following components:

[0889] 1. User Input Method

[0890] Users log in to the system via a terminal and provide input information necessary for music creation, including musical style (e.g., electronic dance music), tempo (e.g., 128 BPM), mood (e.g., energetic), instruments used (e.g., synthesizer), etc. User input is made on the terminal, and then the data is sent to the server.

[0891] 2. Data analysis and generation method (server side)

[0892] The server prepares the data received from the user for analysis. First, it analyzes the received data and extracts the musical style, tempo, atmosphere, and instruments used. Then, it uses generative AI models to generate beats, harmonies, and samples based on musical trends and user input. This creates music material that meets the user's requirements.

[0893] For example, let's say a user selects "electronic dance music," sets the tempo to "128 BPM," sets the mood to "energetic," and sets the instrument to "synthesizer." Based on this information, the generative AI model generates optimal rhythmic patterns, pitches, and materials, and compiles them on the server.

[0894] 3. Results presentation means

[0895] The server sends the generated music back to the device, which receives it and displays it to the user. The system displays the generated beats, harmonies, and samples in a list format or in a graphical interface, allowing the user to visually examine each element.

[0896] 4. Editing and storage methods

[0897] Users can freely edit the presented music material on their device. Specifically, they can adjust the generated beat, change parts of the harmony, or add new samples. Finally, they are provided with the ability to save the edited music track on their device. This saved track can then be used as the user's own original work.

[0898] Specific examples

[0899] Here's a concrete example of how it works: The user enters the following:

[0900] Music Style: Electronic Dance Music

[0901] Tempo: 128BPM

[0902] Atmosphere: Energetic

[0903] Instruments used: Synthesizer

[0904] This information is then sent to the server, which uses a generative AI model to generate beats, harmonies, and samples. The generated beats are energetic and rhythmically aligned to 128 BPM. The generated harmonies have bright chord progressions, and synthesizer samples enhance the energetic atmosphere. These musical elements are then sent back to the device, where the user can review them in list format. The user can then fine-tune the harmonies to create the final track and save it on their device. This allows even beginners to create high-quality music without going through a complicated process.

[0905] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0906] Step 1:

[0907] User input

[0908] The user logs into the system using a terminal and inputs information for music production, including the musical style, tempo, atmosphere, instruments used, etc. After inputting this information, the user clicks the "Submit" button.

[0909] Input and Output

[0910] Input: User-supplied information about musical style, tempo, mood, and instruments used

[0911] Output: A dataset of input information

[0912] Specific actions

[0913] 1. The user starts the application and enters their user ID and password on the login screen.

[0914] 2. The music production screen appears and the user selects a music style (e.g., electronic dance music).

[0915] 3. Enter the tempo (e.g. 128 BPM), mood (e.g. energetic), and instruments used (e.g. synthesizer) in that order.

[0916] 4. Click the "Submit" button to send the entered information to the server.

[0917] Step 2:

[0918] Sending input data

[0919] The terminal transmits the data entered by the user to the server.

[0920] Input and Output

[0921] Input: Data about your music production entered by you

[0922] Output: Data sent to the server

[0923] Specific actions

[0924] 1. When the user clicks the "Submit" button, the entered data is sent from the terminal to the server.

[0925] 2. The server sends a confirmation message to the terminal confirming receipt of the data.

[0926] Step 3:

[0927] Data Analysis and Generation

[0928] The server analyzes the received data and uses generative AI models to generate musical elements (beats, harmonies, samples).

[0929] Input and Output

[0930] Input: Music style, tempo, mood, and instrument information sent from your device

[0931] Output: Generated musical elements (beats, harmonies, samples)

[0932] Specific actions

[0933] 1. The server analyzes the received data and extracts the musical style, tempo, atmosphere, and instruments used.

[0934] 2. Based on the analysis results, a generative AI model generates beats, harmonies, and samples.

[0935] 3. The server organizes the generated musical elements and prepares the results for transmission to the device.

[0936] Step 4:

[0937] Presenting the generated results

[0938] The server returns the generated music material to the terminal, which receives it and displays it to the user.

[0939] Input and Output

[0940] Input: Generated musical elements

[0941] Output: The musical elements presented to the user

[0942] Specific actions

[0943] 1. The server sends the generated music material to the device.

[0944] 2. The terminal analyzes the received data and displays it to the user in a list format or in a graphical interface.

[0945] Step 5:

[0946] User edits

[0947] Users are free to edit the presented music by adjusting the beat, changing the harmony, or adding new samples.

[0948] Input and Output

[0949] Input: Generated musical elements and user editing operations

[0950] Output: Edited musical elements

[0951] Specific actions

[0952] 1. The user selects the beat they want to edit from the list and adjusts the rhythm and tempo.

[0953] 2. Click on a part of the harmony to change the chord progression.

[0954] 3. Add new samples if necessary.

[0955] Step 6:

[0956] Saving the finished track

[0957] Save the edited music track to your device.

[0958] Input and Output

[0959] Input: Edited musical elements

[0960] Output: Final saved track

[0961] Specific actions

[0962] 1. The user clicks the "Save" button.

[0963] 2. The edited music track will be saved to your device's storage.

[0964] (Application example 1)

[0965] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0966] Existing music production support systems are difficult to operate even for beginners and lack real-time music generation functionality that can instantly adapt to specific environments and situations. Furthermore, the inability to quickly change the music environment in stores and other locations makes it difficult to improve the quality of the customer experience. Furthermore, managing copyright and licensing risks for the generated music materials is also an issue.

[0967] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0968] In this invention, the server includes a means for receiving input from a user, a means for generating and presenting environmentally adaptive music materials in real time using a generative AI model, a means for editing and saving the generated music materials, and a means for instantly playing the generated music materials using a smart device. This enables real-time environmentally adaptive music generation, allowing for quick changes to the atmosphere of a store. Furthermore, since even beginners can intuitively operate the system, a wide range of users can create high-quality music. Furthermore, by integrating royalty-free samples, copyright and licensing risks can be reduced.

[0969] The "means for receiving input from the user" is an interface that allows the user to provide the system with the information necessary for music production.

[0970] "Means for generating beats, harmonies, and samples using generative AI models" means means for automatically generating musical beats, harmonies, and samples based on input information using AI technology.

[0971] The "means for presenting the generated beats, harmonies, and samples to the user" refers to an interface for visually or aurally presenting the generated musical material to the user.

[0972] "Means for editing the generated beats, harmonies, and samples and saving the final track" is a function that allows the user to freely edit the generated music material and save it as a final music track.

[0973] "Means for using a smart device to present real-time generated musical material and instantly play environmentally adaptive music" refers to means for using a smart device (e.g., smart glasses) to play generated musical material on the spot and adapt it to the environment.

[0974] "Means for analyzing music trends in real time and inputting them into the generative AI model" is a function for analyzing current music trends and reflecting that information in the generative AI model.

[0975] The "means for generating music that matches the atmosphere of a store or a specific environment" is a function for generating music that is suited to the atmosphere of a specific place or scene.

[0976] "Methods for integrating royalty-free samples to mitigate copyright and licensing risks" refers to methods for reducing legal risks by using music samples that are free from copyright and licensing risks.

[0977] This invention relates to a system that utilizes generative AI models to intuitively simplify music production. The configuration and operation of this system are described in detail below.

[0978] The system mainly consists of the following components:

[0979] 1. User Input Method

[0980] 2. Data analysis and generation method (server side)

[0981] 3. Results presentation means

[0982] 4. Editing and storage methods

[0983] 5. Real-time playback (using smart devices)

[0984] User Input Method

[0985] Users log in to the system via their smart devices or terminals and provide the necessary input information for music creation, including musical style (e.g., jazz, pop), tempo (e.g., 120 BPM), mood (e.g., relaxed, upbeat), and instruments (e.g., guitar, drums). User input is made on the terminal or smart glasses, and the data is then sent to the server.

[0986] Data analysis and generation method (server side)

[0987] The server analyzes the data received from the user. First, it analyzes the received data and extracts the musical style, tempo, atmosphere, and instruments used. Then, it uses a generative AI model to generate beats, harmonies, and samples based on musical trends and user input. This creates music material that meets the user's requirements.

[0988] For example, suppose a user selects "Jazz," sets the tempo to "120 BPM," sets the mood to "Relaxed," and sets the instrument to "Guitar." Based on this information, the generative AI model generates optimal rhythm patterns, pitches, and materials, and compiles them on the server.

[0989] Results presentation means

[0990] The server sends the generated music back to the device in real time, where the device or smart glasses receive it and display it to the user. The system displays the generated beats, harmonies, and samples in list format or in a graphical interface, allowing the user to visually examine each element.

[0991] Editing and storage methods

[0992] Users can freely edit the presented music material on their terminal or smart device. Specifically, they can adjust the generated beat, change parts of the harmony, or add new samples. Finally, they are provided with the ability to save the edited music track on their terminal or server. This saved track can then be used as the user's own original work.

[0993] Real-time playback method (using smart devices)

[0994] The system uses smart devices such as smart glasses to play the generated music in real time, allowing users to instantly adapt the music to specific locations and situations. For example, when setting up a new promotional corner in a store, music generated on the spot can be played instantly to create a lively atmosphere.

[0995] Specific examples

[0996] The user enters the following:

[0997] Music Style: Jazz

[0998] Tempo: 120BPM

[0999] Atmosphere: Relaxed

[1000] Instrument: Guitar

[1001] This information is sent to a server, which uses a generative AI model to generate beats, harmonies, and samples. The generated beats have a relaxed atmosphere and a rhythmic feel that matches the 120 BPM rhythm. The generated harmonies have a soothing chord progression, and guitar samples emphasize the relaxed atmosphere. These musical elements are then sent back to the terminal or smart device, where the user can review them and make adjustments as needed. The final track is saved, and the system also plays it back in real time.

[1002] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1003] Step 1:

[1004] A user logs in to the system using a smart device or terminal and inputs the information necessary for music production. This input includes the musical style, tempo, atmosphere, and instruments used. For example, a user might input prompts such as "jazz," "120 BPM," "relaxed," and "guitar." This input data is sent to the server.

[1005] Step 2:

[1006] The server analyzes the received data and extracts musical style, tempo, atmosphere, and instruments used. Through this data analysis, it specifically understands the user's request. The input data includes "jazz," "120 BPM," "relaxed," and "guitar," and it analyzes and converts this data into a format that can be input into the generative AI model.

[1007] Step 3:

[1008] The server uses a generative AI model based on the analyzed data to generate beats, harmonies, and samples. The AI ​​model generates optimal rhythm patterns, pitches, and samples based on music trends and input data. For example, the generative AI model generates relaxing jazz beats and harmonies corresponding to "Jazz," "120 BPM," "Relax," and "Guitar." The generated data is stored on the server as a series of musical materials: beats, harmonies, and samples.

[1009] Step 4:

[1010] The server sends the generated music back to the terminal or smart device. The music is presented visually in a list format or through an interface. The user can receive and listen to this information in real time. For example, the generated jazz beat and harmonies can be displayed on the display of smart glasses, allowing the user to check them immediately.

[1011] Step 5:

[1012] Users can use the function to edit the presented music material. As input data, they input the parts they want to tweak again through the interface. For example, they can tweak the beat speed or change a part of the harmony. This edit content is then analyzed again by the server, and updated music material is generated.

[1013] Step 6:

[1014] Once the editing is complete, the user saves the music track. The saved data is stored on the device or server and can be reused later. Specifically, the final track created by the user is saved in the cloud and can be accessed at any time.

[1015] Step 7:

[1016] The system uses smart devices to play the generated music in real time. For example, smart glasses can play music tracks on the spot to adjust the atmosphere in the store in real time. This allows store employees to select the right music on the spot and instantly adapt to the environment. This real-time playback improves the customer experience.

[1017] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1018] This invention relates to a system for supporting music production that utilizes a generative AI model and combines it with an emotion engine that recognizes the user's emotions. The configuration and operation of this system are described in detail below.

[1019] This system mainly consists of the following components:

[1020] 1. User Input Method

[1021] 2. Emotion recognition means

[1022] 3. Data analysis and generation method (server side)

[1023] 4. Results presentation means

[1024] 5. Editing and storage methods

[1025] User Input Method

[1026] Users log in to the system via their terminal and provide input information necessary for music creation, including musical style (e.g., electronic dance music, classical, rock), tempo (e.g., 128 BPM), mood (e.g., energetic, mellow), and instruments used (e.g., synthesizer, piano). The input data is sent from the terminal to the server.

[1027] emotion recognition means

[1028] The device is equipped with an emotion engine that recognizes the user's emotional state based on data such as facial expressions, voice, and typing speed. This emotion data is sent to the server to be used in the music generation process. For example, if the user expresses fatigue, it can suggest music with a calming atmosphere.

[1029] Data analysis and generation method (server side)

[1030] The server analyzes various data received from the user (musical style, tempo, atmosphere, instruments used, emotional state). The received data is converted into an appropriate format for analysis and input into a generative AI model. The generative AI model generates beats, harmonies, and samples based on music trends, user input, and emotional data. This process generates optimal musical material tailored to the user's state.

[1031] For example, if a user selects "electronic dance music," inputs the tempo as "128 BPM," the atmosphere as "energetic," and the instrument used as "synthesizer," and the emotion engine recognizes the user's "joy," energetic and positive beats, harmonies, and samples will be generated.

[1032] Results presentation means

[1033] The server sends the generated music back to the device, which receives it and displays the results to the user. The system displays the generated beats, harmonies, and samples in a list format or in a graphical interface, allowing the user to visually check each element.

[1034] Editing and storage methods

[1035] Users can freely edit the presented music material on their device. They can adjust the beat, change parts of the harmony, or add new samples. Finally, they can save the edited music track on their device. This saved track can then be used as their own original work.

[1036] Specific examples

[1037] Here is a specific example of how it works: The user inputs the following:

[1038] Music Style: Electronic Dance Music

[1039] Tempo: 128BPM

[1040] Atmosphere: Energetic

[1041] Instruments used: Synthesizer

[1042] This information is sent from the device to the server. At the same time, the emotion engine recognizes the user's "joy" and sends this data to the server. The server uses this information to generate beats, harmonies, and samples using a generative AI model. The generated beats are energetic and have a rhythmic feel that matches 128 BPM. The generated harmonies have bright chord progressions, and synthesizer samples emphasize the energetic atmosphere. These musical elements are sent back to the device, where the user can review them in list format. The user can then fine-tune the harmonies to create the final track and save it on the device.

[1043] In this way, the present invention, which combines an emotion engine, can provide a system that enables even beginners in music production to intuitively create high-quality music that matches their own emotions.

[1044] The processing flow will be explained below.

[1045] Step 1:

[1046] A user logs in to a terminal and provides input information for music production, specifying parameters such as musical style, tempo, atmosphere, and instruments to be used.

[1047] Step 2:

[1048] The device uses an emotion engine to analyze the user's facial expressions, voice, typing speed, etc. to recognize the user's emotional state. The recognized emotional data is used to generate music.

[1049] Step 3:

[1050] The terminal compiles the user's input information and emotional data and transmits them to the server, including the musical style, tempo, atmosphere, instruments used, and emotional state.

[1051] Step 4:

[1052] The server analyzes the data received from the device. First, it converts the received data into an appropriate format for analysis and extracts the necessary parameters (musical style, tempo, atmosphere, instruments used, emotional state).

[1053] Step 5:

[1054] The server uses a generative AI model to generate beats, harmonies, and samples based on the extracted parameters, taking into account music trend data and the user's emotional state.

[1055] Step 6:

[1056] The server sends the generated beats, harmonies, and samples back to the device as a single response, which contains the generated musical material.

[1057] Step 7:

[1058] The device receives the response from the server and displays the generated results to the user, who can visually check the beat, harmony, and samples.

[1059] Step 8:

[1060] Users can edit the generated music on their device, adjusting the beat, changing the harmonies, and adding new samples.

[1061] Step 9:

[1062] After the user completes the editing, the device saves the final track, which can then be used as the user's own creation.

[1063] For example, if a user selects electronic dance music, inputs the tempo as "128 BPM," the mood as "energetic," and the instrument as "synthesizer," and the emotion engine recognizes the user's "joy," the generated music material will have an energetic and positive atmosphere. Users can then edit and save the final track to create their own high-quality music.

[1064] Example 2

[1065] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1066] Currently, many music production support systems provide music materials without considering the user's emotional state. This makes it difficult to generate music that suits the user's emotional state, making it difficult for even beginners to intuitively create high-quality music. Furthermore, they do not adequately reflect real-time music trends or mitigate risks by using royalty-free samples. This creates a demand for more personalized music production support.

[1067] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1068] In this invention, the server includes a means for receiving input from a user, a means for analyzing the user's emotional state received from the terminal, a means for generating music data based on the analyzed user's emotional state, a means for presenting the generated music data to the user, and a means for editing the generated music data and saving the final information. This allows for the generation of music materials suited to the user's emotional state, allowing the user to intuitively create high-quality music. Furthermore, it is possible to reflect music trends in real time and reduce risk by using royalty-free samples.

[1069] "User" means an individual or entity that operates the music production system to generate and edit music.

[1070] A "server" is a computer system that receives data from users and creates music data using analytical and generative AI models.

[1071] A "terminal" is a device (such as a PC, smartphone, or tablet) that allows a user to input data and to check and edit the generated music data.

[1072] A "generative AI model" is an artificial intelligence model that automatically generates music data based on a certain algorithm.

[1073] "Music Style" refers to the type of music entered by the user (e.g., electronic dance music, classical, rock).

[1074] "Tempo" refers to the speed (in BPM) of the music input by the user.

[1075] "Atmosphere" refers to the emotional tone or mood of the music (e.g., energetic, calm).

[1076] "Instruments used" refers to the types of instruments (e.g., synthesizer, piano) used in music production.

[1077] "Emotional state" refers to the user's psychological state (e.g., joy, tiredness) that is input by the user to the system or analyzed by the system.

[1078] "Trend information" refers to the latest trends in music genres and styles.

[1079] "Royalty free" means that there is no additional payment obligation for use.

[1080] "Risk" refers to legal dangers such as rights issues and copyright infringement.

[1081] "Editing" refers to the process in which a user makes changes or modifications to the generated music data.

[1082] "Final information" refers to the final version of music data that the user has saved after editing.

[1083] The present invention relates to a system for supporting music production that utilizes a generative AI model and combines it with an emotion engine that recognizes the user's emotions. The system mainly includes the following components:

[1084] User Input Method

[1085] Users log in to the system using a terminal and enter information necessary for music creation, including details such as musical style (e.g., electronic dance music), tempo (e.g., 128 BPM), atmosphere (e.g., energetic), and instruments used (e.g., synthesizer). This data is then sent from the terminal to the server.

[1086] emotion recognition means

[1087] The device uses a built-in emotion engine to analyze the user's facial expressions, voice, typing speed, etc. to detect the user's emotional state. This emotion data is also sent to the server and used in the music generation process. For example, if the user expresses fatigue, it can suggest calming music.

[1088] Data analysis and generation method (server side)

[1089] The server analyzes the various data received from the user and converts it into an appropriate format using software libraries such as Python and TensorFlow. The data is then input into a generative AI model, which generates beats, harmonies, and samples based on music trends, user input, and emotional data. For example, if a user selects "electronic dance music," sets the tempo to "128 BPM," the mood to "energetic," and the instrument used to "synthesizer," and the emotional engine recognizes "joy," energetic and positive music material will be generated.

[1090] Results presentation means

[1091] The server sends the generated music material to the device, which receives it and displays it to the user. The generated beats, harmonies, and samples are displayed in list format or in a graphical interface, allowing the user to visually check each element.

[1092] Editing and storage methods

[1093] Users can freely edit the presented music material, adjusting the beat, changing parts of the harmony, and adding new samples. Finally, they are given the ability to save the edited music track on their device, which can then be used as their own original work.

[1094] Specific examples

[1095] For example, the user inputs the following:

[1096] Music Style: Electronic Dance Music

[1097] Tempo: 128BPM

[1098] Atmosphere: Energetic

[1099] Instruments used: Synthesizer

[1100] This information is sent from the device to a server, where an emotion engine simultaneously recognizes the user's "joy" and sends that data to the server. The server then uses this information to generate beats, harmonies, and samples using a generative AI model. The generated beats are energetic and rhythmically synchronized to 128 BPM. The generated harmonies have bright chord progressions, and synthesizer samples accentuate the energetic atmosphere.

[1101] These musical elements are then sent back to the device, where the user can review them in a list format. The user then fine-tunes the harmonies to create the final track, which is then saved on the device. This system allows even beginners to intuitively create high-quality music that matches the user's emotions.

[1102] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1103] Step 1: User login and input

[1104] Specific behavior:

[1105] A user logs into the system using a terminal and enters the required information, including details such as the music style (e.g., electronic dance music), tempo (e.g., 128 BPM), mood (e.g., energetic), and instruments used (e.g., synthesizer).

[1106] input:

[1107] User-entered information about musical style, tempo, mood, and instruments used.

[1108] output:

[1109] The input data is in the format sent from the terminal to the server.

[1110] What happens:

[1111] The terminal receives the data input by the user, converts it into a specified format, and sends it to the server.

[1112] Step 2: Emotion Recognition

[1113] Specific behavior:

[1114] The device uses a built-in emotion engine to analyze the user's facial expressions, voice, typing speed, etc. to capture their emotional state.

[1115] input:

[1116] The user's facial expression, voice, and typing speed.

[1117] output:

[1118] User emotion data (e.g., happiness, tiredness).

[1119] What happens:

[1120] The terminal analyzes the input data using an emotion engine, quantifies the user's emotional state, and transmits the quantified data to the server.

[1121] Step 3: Send data

[1122] Specific behavior:

[1123] The terminal transmits all input data, including the user's emotion data, to the server.

[1124] input:

[1125] Input data (musical style, tempo, atmosphere, instruments used), emotional data.

[1126] output:

[1127] This is the format in which data is sent to the server.

[1128] What happens:

[1129] The terminal collects all data into one packet and transmits it to the server.

[1130] Step 4: Data analysis and generation

[1131] Specific behavior:

[1132] The server analyzes the received user data and inputs the data into a generative AI model, which then generates music data based on the user's emotional state and trend information.

[1133] input:

[1134] User data received by the server (musical style, tempo, atmosphere, instruments used, emotional data).

[1135] output:

[1136] Generated music data (beats, harmonies, samples).

[1137] What happens:

[1138] The server uses software libraries such as Python and TensorFlow to analyze the data and generate optimal music data based on a generative AI model.

[1139] Step 5: Presenting the results

[1140] Specific behavior:

[1141] The server transmits the generated music data to the terminal, which receives it and displays it to the user.

[1142] input:

[1143] Generated music data (beats, harmonies, samples).

[1144] output:

[1145] A list of music data and a graphical interface provided to the user.

[1146] What happens:

[1147] The terminal displays the music data received from the server to the user in list format or waveform display format.

[1148] Step 6: Edit and save

[1149] Specific behavior:

[1150] Users can freely edit the provided music data and save the completed music track on their device.

[1151] input:

[1152] User-initiated editing instructions (e.g., adjusting beats, changing harmonies, adding samples).

[1153] output:

[1154] The final edited music track.

[1155] What happens:

[1156] The device reflects the edited content in real time, and the final edited music track is saved on the device.

[1157] (Application example 2)

[1158] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1159] Conventional music production support systems and background music playback systems generate and play music without considering the user's emotional state, making it difficult to provide music that corresponds to the emotions of customers and shoppers. Furthermore, in situations where optimal music needs to be provided in real time, particularly in physical stores, there is a problem in that music cannot be generated and played appropriately to match the emotions of each customer. This makes it difficult to maintain a consistent store atmosphere and fails to increase customer satisfaction.

[1160] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1161] In this invention, the server includes means for receiving input from a user, means for generating beats, harmonies, and samples using a generative AI model, means for presenting the generated beats, harmonies, and samples to the user, means for editing the generated beats, harmonies, and samples and saving the final track, means for recognizing the emotional state of the customer, and means for generating optimal background music in real time based on the emotional state. This makes it possible to generate and play high-quality music in real time that matches the customer's emotions, thereby creating a more appealing atmosphere in physical stores.

[1162] The "means for receiving input from the user" is an interface through which the user provides input information such as musical style, tempo, atmosphere, and instruments used to the system.

[1163] "Means for generating beats, harmonies, and samples using generative AI models" refers to means for analyzing music trends based on user input information and emotional data, and generating optimal music materials using AI models.

[1164] The "means for presenting the generated beats, harmonies, and samples to the user" refers to an interface that presents the generated musical material in list form or a graphical interface so that the user can visually check it.

[1165] "Means for editing the generated beats, harmonies, and samples and saving the final track" refers to an interface that allows the user to freely edit the generated music material and save it as a final music track.

[1166] The "means for recognizing the emotional state of the customer" refers to a means for analyzing the customer's facial expressions and voice using devices such as cameras and microphones installed in the store and recognizing their emotions.

[1167] "Means for generating optimal background music in real time based on the emotional state" refers to a means for generating optimal background music in real time using a generative AI model based on recognized emotional data, and providing music that matches the atmosphere of the store.

[1168] In this invention, a specific embodiment for implementing an emotion-based automatic BGM generation system for brick-and-mortar stores will be described.

[1169] System Configuration

[1170] The system consists of the following components:

[1171] 1. User input means: An interface through which the user (store staff) inputs information such as musical style, tempo, atmosphere, and instruments used into the system.

[1172] 2. Emotion recognition: Using cameras and microphones in the store, customers' facial expressions and voices are analyzed to recognize their emotional state.

[1173] 3. Data analysis and generation method (server side): The server analyzes the acquired emotional data and the music information entered by the user. The server uses a generative AI model to create optimal background music in real time.

[1174] 4. Result presentation method: The generated background music is played on the in-store sound system.

[1175] 5. Editing and saving means: An interface that allows store staff to freely edit and save the generated background music.

[1176] Program processing

[1177] The server uses the following hardware and software to process and calculate data.

[1178] Hardware:

[1179] Camera (e.g. Logitech C920): Captures customer facial expressions.

[1180] Microphone (e.g. Blue Yeti): To capture the voice of the customer.

[1181] Server: Performs data analysis and music generation.

[1182] software:

[1183] EmotionRecognition (Python libraries and models, e.g., OpenCV, FaceAPI): Recognize emotions from facial expressions and voice.

[1184] MusicGeneration (Python libraries and models, e.g., Magenta, Jukedeck): Generates music based on recognized emotions.

[1185] Data processing and calculation

[1186] The server processes the data as follows:

[1187] 1. Facial expression recognition: Analyzes camera footage frame by frame and estimates the customer's emotions from their facial expressions.

[1188] 2. Voice recognition: Analyzes voice data from the microphone and complements emotions from tension and tone.

[1189] 3. BGM generation: Emotional data is input into the generative AI model to generate optimal background music.

[1190] Specific examples

[1191] For example, if a customer at a cafe looks a little tired in the early afternoon, the system will recognize the "relaxed" emotion and generate and play calming cafe music (e.g., acoustic guitar melody) to help the customer relax and enjoy their tea.

[1192] Prompt Sentence Examples

[1193] Examples of prompts to input to a generative AI model include:

[1194] "If the emotional state in a cafe is recognized as 'Relaxed', generate background music using a calming acoustic guitar."

[1195] In this way, the present invention can create a more attractive atmosphere in a brick-and-mortar store and increase customer satisfaction.

[1196] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1197] Step 1:

[1198] The server receives information from the user (store staff) via user input means, such as the musical style, tempo, atmosphere, and instruments used. This information is used as the basic parameters of the music generated by the system. Examples of input information include "cafe," "relaxed," and "acoustic guitar." Based on this information, the server prepares the data to be used in the next step.

[1199] Step 2:

[1200] The server uses emotion recognition means to analyze video and audio data captured from cameras and microphones in the store. It analyzes the camera footage frame by frame and infers emotions from the customer's facial expressions. It also analyzes the tension and tone of the audio data to obtain complementary emotional data. The input data includes the captured video frames and audio, and by analyzing these, it outputs emotional data such as "relaxed" or "fatigued."

[1201] Step 3:

[1202] The server combines the basic music parameters input in step 1 with the emotional data acquired in step 2. It analyzes these data and inputs them into the generative AI model. The server generates a prompt and provides this prompt to the generative AI model. As a specific example, a prompt might be created such as, "If the emotional state in a cafe is recognized as 'Relaxed,' please generate background music using an acoustic guitar with a calming atmosphere." The input data are the basic music parameters and emotional data, and the output data are the prompt.

[1203] Step 4:

[1204] The server uses a generative AI model to generate music materials (beats, harmonies, and samples) based on the prompt. The generative AI model generates optimal music materials based on trend information and past learning data. The input data is the prompt, and the output data is the generated music materials. Specifically, it generates acoustic guitar beats and harmonies with upbeat chord progressions.

[1205] Step 5:

[1206] The server transmits the generated music material to the store terminal via the result presentation means, and visually presents the results to the user. The user can check the provided music material and perform further editing based on it. The input data is the generated music material, and the output data is a list or a graphical interface presented to the user.

[1207] Step 6:

[1208] The user can freely edit the presented music material using the editing and saving means and save the final track. Editing can include, for example, changing the beat or adding a new sample. The edited final track is played back on the store's sound system. The input data is the generated music material, and the output data is the edited final track.

[1209] This series of processes allows the optimal background music to be generated in real time to match the customer's emotions, making it possible to create an even more appealing atmosphere in a physical store.

[1210] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1211] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1212] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1213] [Fourth embodiment]

[1214] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1215] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1216] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1217] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1218] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1219] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1220] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1221] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1222] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1223] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1224] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1225] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1226] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1227] This invention relates to a music production support system that utilizes generative AI models to intuitively simplify the music production process. The configuration and operation of this system are described in detail below.

[1228] This system mainly consists of the following components:

[1229] 1. User Input Method

[1230] 2. Data analysis and generation method (server side)

[1231] 3. Results presentation means

[1232] 4. Editing and storage methods

[1233] User Input Method

[1234] Users log in to the system via a terminal and provide input information necessary for music creation, including musical style (e.g., electronic dance music, classical, rock), tempo (e.g., 128 BPM), mood (e.g., energetic, mellow), and instruments used (e.g., synthesizer, piano). User input is performed on the terminal, and then the data is sent to the server.

[1235] Data analysis and generation method (server side)

[1236] The server prepares the data received from the user for analysis. First, it analyzes the received data and extracts the musical style, tempo, atmosphere, and instruments used. Then, it uses generative AI models to generate beats, harmonies, and samples based on musical trends and user input. This creates music material that meets the user's requirements.

[1237] For example, let's say a user selects "electronic dance music," sets the tempo to "128 BPM," sets the mood to "energetic," and sets the instrument to "synthesizer." Based on this information, the generative AI model generates optimal rhythmic patterns, pitches, and materials, and compiles them on the server.

[1238] Results presentation means

[1239] The server sends the generated music back to the device, which receives it and displays it to the user. The system displays the generated beats, harmonies, and samples in a list format or in a graphical interface, allowing the user to visually examine each element.

[1240] Editing and storage methods

[1241] Users can freely edit the presented music material on their device. Specifically, they can adjust the generated beat, change parts of the harmony, or add new samples. Finally, they can save the edited music track on their device. This saved track can be used as their own original work.

[1242] Specific examples

[1243] Here is a specific example of how it works: The user inputs the following:

[1244] Music Style: Electronic Dance Music

[1245] Tempo: 128BPM

[1246] Atmosphere: Energetic

[1247] Instruments used: Synthesizer

[1248] This information is sent to a server, which uses a generative AI model to generate beats, harmonies, and samples. The generated beats are energetic and rhythmically aligned to 128 BPM. The generated harmonies have bright chord progressions, and synthesizer samples enhance the energetic atmosphere. These musical elements are then sent back to the device, where the user can review them in a list format. The user can then fine-tune the harmonies to create the final track and save it to their device.

[1249] This system allows even beginners to music production to create high-quality music without going through complicated processes.

[1250] The processing flow will be explained below.

[1251] Step 1:

[1252] The user logs in to the terminal and inputs information for music production, specifying parameters such as musical style, tempo, atmosphere, and instruments to be used.

[1253] Step 2:

[1254] The device receives user input and transmits data to the server, including parameters such as musical style, tempo, atmosphere, and instruments used.

[1255] Step 3:

[1256] The server analyzes the data received from the device. First, it converts the data into an appropriate format for analysis and extracts the necessary parameters (musical style, tempo, atmosphere, instruments used).

[1257] Step 4:

[1258] The server uses a generative AI model to generate beats, harmonies, and samples based on the received parameters. The generative AI model analyzes music trend data and generates high-quality music material.

[1259] Step 5:

[1260] The server compiles the generated beats, harmonies, and samples and sends them back to the device as a single response, which contains the generated musical material.

[1261] Step 6:

[1262] The device receives the response from the server and displays the generated results to the user, who can visually check the beat, harmony, and samples.

[1263] Step 7:

[1264] Users can edit the generated music on their device, adjusting the beat, changing the harmonies, and adding new samples.

[1265] Step 8:

[1266] After the user completes the editing, the device saves the final track, which can then be used as the user's own creation.

[1267] Example 1

[1268] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1269] Music production requires advanced knowledge and skills, making it difficult for beginners to produce high-quality music. Furthermore, existing tools often make it difficult for users to intuitively operate them, and editing and saving the generated music material is often cumbersome. This invention provides a system that utilizes generative AI models to enable users to intuitively produce high-quality music.

[1270] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1271] In this invention, the server includes means for receiving input from a user, means for analyzing the input and generating musical elements using a generative AI model, means for presenting the generated musical elements to the user, and means for editing the generated musical elements and saving the final track, thereby enabling users to create, edit, and save high-quality music using intuitive operations.

[1272] "User" refers to an individual or organization that uses the system to create music.

[1273] "Input" is information provided by the user through the system, including the type of music, time signature, mood, instruments used, etc.

[1274] A "generative AI model" refers to an artificial intelligence technology that generates musical elements based on received input information.

[1275] "Musical Elements" refers to the basic elements needed for music production, such as generated beats, harmonies, and samples.

[1276] "Type of music" refers to a specific genre or style, such as electronic dance music or classical music.

[1277] "Time signature" is an element that represents the speed and rhythm of music, and is specifically expressed in BPM (Beats Per Minute).

[1278] "Mood" is an element that describes the atmosphere or emotion of music, and can include energetic or calm.

[1279] "Instruments used" refers to the specific instruments used in music production, including synthesizers and pianos.

[1280] "Musical trends" refer to styles and characteristics that are currently popular in the music industry.

[1281] "Real-time" refers to data being processed and analyzed as it occurs.

[1282] "Royalty free" refers to material that does not require copyright royalties, which reduces licensing risk.

[1283] "Materials" refers to the sound sources and samples used in music production.

[1284] "Track" refers to a completed musical composition.

[1285] This invention relates to a music production support system that utilizes generative AI models to intuitively simplify the music production process. The system configuration and operation are explained in detail below. This system is mainly composed of the following components:

[1286] 1. User Input Method

[1287] Users log in to the system via a terminal and provide input information necessary for music creation, including musical style (e.g., electronic dance music), tempo (e.g., 128 BPM), mood (e.g., energetic), instruments used (e.g., synthesizer), etc. User input is made on the terminal, and then the data is sent to the server.

[1288] 2. Data analysis and generation method (server side)

[1289] The server prepares the data received from the user for analysis. First, it analyzes the received data and extracts the musical style, tempo, atmosphere, and instruments used. Then, it uses generative AI models to generate beats, harmonies, and samples based on musical trends and user input. This creates music material that meets the user's requirements.

[1290] For example, let's say a user selects "electronic dance music," sets the tempo to "128 BPM," sets the mood to "energetic," and sets the instrument to "synthesizer." Based on this information, the generative AI model generates optimal rhythmic patterns, pitches, and materials, and compiles them on the server.

[1291] 3. Results presentation means

[1292] The server sends the generated music back to the device, which receives it and displays it to the user. The system displays the generated beats, harmonies, and samples in a list format or in a graphical interface, allowing the user to visually examine each element.

[1293] 4. Editing and storage methods

[1294] Users can freely edit the presented music material on their device. Specifically, they can adjust the generated beat, change parts of the harmony, or add new samples. Finally, they are provided with the ability to save the edited music track on their device. This saved track can then be used as the user's own original work.

[1295] Specific examples

[1296] Here's a concrete example of how it works: The user enters the following:

[1297] Music Style: Electronic Dance Music

[1298] Tempo: 128BPM

[1299] Atmosphere: Energetic

[1300] Instruments used: Synthesizer

[1301] This information is then sent to the server, which uses a generative AI model to generate beats, harmonies, and samples. The generated beats are energetic and rhythmically aligned to 128 BPM. The generated harmonies have bright chord progressions, and synthesizer samples enhance the energetic atmosphere. These musical elements are then sent back to the device, where the user can review them in list format. The user can then fine-tune the harmonies to create the final track and save it on their device. This allows even beginners to create high-quality music without going through a complicated process.

[1302] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1303] Step 1:

[1304] User input

[1305] The user logs into the system using a terminal and inputs information for music production, including the musical style, tempo, atmosphere, instruments used, etc. After inputting this information, the user clicks the "Submit" button.

[1306] Input and Output

[1307] Input: User-supplied information about musical style, tempo, mood, and instruments used

[1308] Output: A dataset of input information

[1309] Specific actions

[1310] 1. The user starts the application and enters their user ID and password on the login screen.

[1311] 2. The music production screen appears and the user selects a music style (e.g., electronic dance music).

[1312] 3. Enter the tempo (e.g. 128 BPM), mood (e.g. energetic), and instruments used (e.g. synthesizer) in that order.

[1313] 4. Click the "Submit" button to send the entered information to the server.

[1314] Step 2:

[1315] Sending input data

[1316] The terminal transmits the data entered by the user to the server.

[1317] Input and Output

[1318] Input: Data about your music production entered by you

[1319] Output: Data sent to the server

[1320] Specific actions

[1321] 1. When the user clicks the "Submit" button, the entered data is sent from the terminal to the server.

[1322] 2. The server sends a confirmation message to the terminal confirming receipt of the data.

[1323] Step 3:

[1324] Data Analysis and Generation

[1325] The server analyzes the received data and uses generative AI models to generate musical elements (beats, harmonies, samples).

[1326] Input and Output

[1327] Input: Music style, tempo, mood, and instrument information sent from your device

[1328] Output: Generated musical elements (beats, harmonies, samples)

[1329] Specific actions

[1330] 1. The server analyzes the received data and extracts the musical style, tempo, atmosphere, and instruments used.

[1331] 2. Based on the analysis results, a generative AI model generates beats, harmonies, and samples.

[1332] 3. The server organizes the generated musical elements and prepares the results for transmission to the device.

[1333] Step 4:

[1334] Presenting the generated results

[1335] The server returns the generated music material to the terminal, which receives it and displays it to the user.

[1336] Input and Output

[1337] Input: Generated musical elements

[1338] Output: The musical elements presented to the user

[1339] Specific actions

[1340] 1. The server sends the generated music material to the device.

[1341] 2. The terminal analyzes the received data and displays it to the user in a list format or in a graphical interface.

[1342] Step 5:

[1343] User edits

[1344] Users are free to edit the presented music by adjusting the beat, changing the harmony, or adding new samples.

[1345] Input and Output

[1346] Input: Generated musical elements and user editing operations

[1347] Output: Edited musical elements

[1348] Specific actions

[1349] 1. The user selects the beat they want to edit from the list and adjusts the rhythm and tempo.

[1350] 2. Click on a part of the harmony to change the chord progression.

[1351] 3. Add new samples if necessary.

[1352] Step 6:

[1353] Saving the finished track

[1354] Save the edited music track to your device.

[1355] Input and Output

[1356] Input: Edited musical elements

[1357] Output: Final saved track

[1358] Specific actions

[1359] 1. The user clicks the "Save" button.

[1360] 2. The edited music track will be saved to your device's storage.

[1361] (Application example 1)

[1362] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1363] Existing music production support systems are difficult to operate even for beginners and lack real-time music generation functionality that can instantly adapt to specific environments and situations. Furthermore, the inability to quickly change the music environment in stores and other locations makes it difficult to improve the quality of the customer experience. Furthermore, managing copyright and licensing risks for the generated music materials is also an issue.

[1364] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1365] In this invention, the server includes a means for receiving input from a user, a means for generating and presenting environmentally adaptive music materials in real time using a generative AI model, a means for editing and saving the generated music materials, and a means for instantly playing the generated music materials using a smart device. This enables real-time environmentally adaptive music generation, allowing for quick changes to the atmosphere of a store. Furthermore, since even beginners can intuitively operate the system, a wide range of users can create high-quality music. Furthermore, by integrating royalty-free samples, copyright and licensing risks can be reduced.

[1366] The "means for receiving input from the user" is an interface that allows the user to provide the system with the information necessary for music production.

[1367] "Means for generating beats, harmonies, and samples using generative AI models" means means for automatically generating musical beats, harmonies, and samples based on input information using AI technology.

[1368] The "means for presenting the generated beats, harmonies, and samples to the user" refers to an interface for visually or aurally presenting the generated musical material to the user.

[1369] "Means for editing the generated beats, harmonies, and samples and saving the final track" is a function that allows the user to freely edit the generated music material and save it as a final music track.

[1370] "Means for using a smart device to present real-time generated musical material and instantly play environmentally adaptive music" refers to means for using a smart device (e.g., smart glasses) to play generated musical material on the spot and adapt it to the environment.

[1371] "Means for analyzing music trends in real time and inputting them into the generative AI model" is a function for analyzing current music trends and reflecting that information in the generative AI model.

[1372] The "means for generating music that matches the atmosphere of a store or a specific environment" is a function for generating music that is suited to the atmosphere of a specific place or scene.

[1373] "Methods for integrating royalty-free samples to mitigate copyright and licensing risks" refers to methods for reducing legal risks by using music samples that are free from copyright and licensing risks.

[1374] This invention relates to a system that utilizes generative AI models to intuitively simplify music production. The configuration and operation of this system are described in detail below.

[1375] The system mainly consists of the following components:

[1376] 1. User Input Method

[1377] 2. Data analysis and generation method (server side)

[1378] 3. Results presentation means

[1379] 4. Editing and storage methods

[1380] 5. Real-time playback (using smart devices)

[1381] User Input Method

[1382] Users log in to the system via their smart devices or terminals and provide the necessary input information for music creation, including musical style (e.g., jazz, pop), tempo (e.g., 120 BPM), mood (e.g., relaxed, upbeat), and instruments (e.g., guitar, drums). User input is made on the terminal or smart glasses, and the data is then sent to the server.

[1383] Data analysis and generation method (server side)

[1384] The server analyzes the data received from the user. First, it analyzes the received data and extracts the musical style, tempo, atmosphere, and instruments used. Then, it uses a generative AI model to generate beats, harmonies, and samples based on musical trends and user input. This creates music material that meets the user's requirements.

[1385] For example, suppose a user selects "Jazz," sets the tempo to "120 BPM," sets the mood to "Relaxed," and sets the instrument to "Guitar." Based on this information, the generative AI model generates optimal rhythm patterns, pitches, and materials, and compiles them on the server.

[1386] Results presentation means

[1387] The server sends the generated music back to the device in real time, where the device or smart glasses receive it and display it to the user. The system displays the generated beats, harmonies, and samples in list format or in a graphical interface, allowing the user to visually examine each element.

[1388] Editing and storage methods

[1389] Users can freely edit the presented music material on their terminal or smart device. Specifically, they can adjust the generated beat, change parts of the harmony, or add new samples. Finally, they are provided with the ability to save the edited music track on their terminal or server. This saved track can then be used as the user's own original work.

[1390] Real-time playback method (using smart devices)

[1391] The system uses smart devices such as smart glasses to play the generated music in real time, allowing users to instantly adapt the music to specific locations and situations. For example, when setting up a new promotional corner in a store, music generated on the spot can be played instantly to create a lively atmosphere.

[1392] Specific examples

[1393] The user enters the following:

[1394] Music Style: Jazz

[1395] Tempo: 120BPM

[1396] Atmosphere: Relaxed

[1397] Instrument: Guitar

[1398] This information is sent to a server, which uses a generative AI model to generate beats, harmonies, and samples. The generated beats have a relaxed atmosphere and a rhythmic feel that matches the 120 BPM rhythm. The generated harmonies have a soothing chord progression, and guitar samples emphasize the relaxed atmosphere. These musical elements are then sent back to the terminal or smart device, where the user can review them and make adjustments as needed. The final track is saved, and the system also plays it back in real time.

[1399] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1400] Step 1:

[1401] A user logs in to the system using a smart device or terminal and inputs the information necessary for music production. This input includes the musical style, tempo, atmosphere, and instruments used. For example, a user might input prompts such as "jazz," "120 BPM," "relaxed," and "guitar." This input data is sent to the server.

[1402] Step 2:

[1403] The server analyzes the received data and extracts musical style, tempo, atmosphere, and instruments used. Through this data analysis, it specifically understands the user's request. The input data includes "jazz," "120 BPM," "relaxed," and "guitar," and it analyzes and converts this data into a format that can be input into the generative AI model.

[1404] Step 3:

[1405] The server uses a generative AI model based on the analyzed data to generate beats, harmonies, and samples. The AI ​​model generates optimal rhythm patterns, pitches, and samples based on music trends and input data. For example, the generative AI model generates relaxing jazz beats and harmonies corresponding to "Jazz," "120 BPM," "Relax," and "Guitar." The generated data is stored on the server as a series of musical materials: beats, harmonies, and samples.

[1406] Step 4:

[1407] The server sends the generated music back to the terminal or smart device. The music is presented visually in a list format or through an interface. The user can receive and listen to this information in real time. For example, the generated jazz beat and harmonies can be displayed on the display of smart glasses, allowing the user to check them immediately.

[1408] Step 5:

[1409] Users can use the function to edit the presented music material. As input data, they input the parts they want to tweak again through the interface. For example, they can tweak the beat speed or change a part of the harmony. This edit content is then analyzed again by the server, and updated music material is generated.

[1410] Step 6:

[1411] Once the editing is complete, the user saves the music track. The saved data is stored on the device or server and can be reused later. Specifically, the final track created by the user is saved in the cloud and can be accessed at any time.

[1412] Step 7:

[1413] The system uses smart devices to play the generated music in real time. For example, smart glasses can play music tracks on the spot to adjust the atmosphere in the store in real time. This allows store employees to select the right music on the spot and instantly adapt to the environment. This real-time playback improves the customer experience.

[1414] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1415] This invention relates to a system for supporting music production that utilizes a generative AI model and combines it with an emotion engine that recognizes the user's emotions. The configuration and operation of this system are described in detail below.

[1416] This system mainly consists of the following components:

[1417] 1. User Input Method

[1418] 2. Emotion recognition means

[1419] 3. Data analysis and generation method (server side)

[1420] 4. Results presentation means

[1421] 5. Editing and storage methods

[1422] User Input Method

[1423] Users log in to the system via their terminal and provide input information necessary for music creation, including musical style (e.g., electronic dance music, classical, rock), tempo (e.g., 128 BPM), mood (e.g., energetic, mellow), and instruments used (e.g., synthesizer, piano). The input data is sent from the terminal to the server.

[1424] emotion recognition means

[1425] The device is equipped with an emotion engine that recognizes the user's emotional state based on data such as facial expressions, voice, and typing speed. This emotion data is sent to the server to be used in the music generation process. For example, if the user expresses fatigue, it can suggest music with a calming atmosphere.

[1426] Data analysis and generation method (server side)

[1427] The server analyzes various data received from the user (musical style, tempo, atmosphere, instruments used, emotional state). The received data is converted into an appropriate format for analysis and input into a generative AI model. The generative AI model generates beats, harmonies, and samples based on music trends, user input, and emotional data. This process generates optimal musical material tailored to the user's state.

[1428] For example, if a user selects "electronic dance music," inputs the tempo as "128 BPM," the atmosphere as "energetic," and the instrument used as "synthesizer," and the emotion engine recognizes the user's "joy," energetic and positive beats, harmonies, and samples will be generated.

[1429] Results presentation means

[1430] The server sends the generated music back to the device, which receives it and displays the results to the user. The system displays the generated beats, harmonies, and samples in a list format or in a graphical interface, allowing the user to visually check each element.

[1431] Editing and storage methods

[1432] Users can freely edit the presented music material on their device. They can adjust the beat, change parts of the harmony, or add new samples. Finally, they can save the edited music track on their device. This saved track can then be used as their own original work.

[1433] Specific examples

[1434] Here is a specific example of how it works: The user inputs the following:

[1435] Music Style: Electronic Dance Music

[1436] Tempo: 128BPM

[1437] Atmosphere: Energetic

[1438] Instruments used: Synthesizer

[1439] This information is sent from the device to the server. At the same time, the emotion engine recognizes the user's "joy" and sends this data to the server. The server uses this information to generate beats, harmonies, and samples using a generative AI model. The generated beats are energetic and have a rhythmic feel that matches 128 BPM. The generated harmonies have bright chord progressions, and synthesizer samples emphasize the energetic atmosphere. These musical elements are sent back to the device, where the user can review them in list format. The user can then fine-tune the harmonies to create the final track and save it on the device.

[1440] In this way, the present invention, which combines an emotion engine, can provide a system that enables even beginners in music production to intuitively create high-quality music that matches their own emotions.

[1441] The processing flow will be explained below.

[1442] Step 1:

[1443] A user logs in to a terminal and provides input information for music production, specifying parameters such as musical style, tempo, atmosphere, and instruments to be used.

[1444] Step 2:

[1445] The device uses an emotion engine to analyze the user's facial expressions, voice, typing speed, etc. to recognize the user's emotional state. The recognized emotional data is used to generate music.

[1446] Step 3:

[1447] The terminal compiles the user's input information and emotional data and transmits them to the server, including the musical style, tempo, atmosphere, instruments used, and emotional state.

[1448] Step 4:

[1449] The server analyzes the data received from the device. First, it converts the received data into an appropriate format for analysis and extracts the necessary parameters (musical style, tempo, atmosphere, instruments used, emotional state).

[1450] Step 5:

[1451] The server uses a generative AI model to generate beats, harmonies, and samples based on the extracted parameters, taking into account music trend data and the user's emotional state.

[1452] Step 6:

[1453] The server sends the generated beats, harmonies, and samples back to the device as a single response, which contains the generated musical material.

[1454] Step 7:

[1455] The device receives the response from the server and displays the generated results to the user, who can visually check the beat, harmony, and samples.

[1456] Step 8:

[1457] Users can edit the generated music on their device, adjusting the beat, changing the harmonies, and adding new samples.

[1458] Step 9:

[1459] After the user completes the editing, the device saves the final track, which can then be used as the user's own creation.

[1460] For example, if a user selects electronic dance music, inputs the tempo as "128 BPM," the mood as "energetic," and the instrument as "synthesizer," and the emotion engine recognizes the user's "joy," the generated music material will have an energetic and positive atmosphere. Users can then edit and save the final track to create their own high-quality music.

[1461] Example 2

[1462] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1463] Currently, many music production support systems provide music materials without considering the user's emotional state. This makes it difficult to generate music that suits the user's emotional state, making it difficult for even beginners to intuitively create high-quality music. Furthermore, they do not adequately reflect real-time music trends or mitigate risks by using royalty-free samples. This creates a demand for more personalized music production support.

[1464] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1465] In this invention, the server includes a means for receiving input from a user, a means for analyzing the user's emotional state received from the terminal, a means for generating music data based on the analyzed user's emotional state, a means for presenting the generated music data to the user, and a means for editing the generated music data and saving the final information. This allows for the generation of music materials suited to the user's emotional state, allowing the user to intuitively create high-quality music. Furthermore, it is possible to reflect music trends in real time and reduce risk by using royalty-free samples.

[1466] "User" means an individual or entity that operates the music production system to generate and edit music.

[1467] A "server" is a computer system that receives data from users and creates music data using analytical and generative AI models.

[1468] A "terminal" is a device (such as a PC, smartphone, or tablet) that allows a user to input data and to check and edit the generated music data.

[1469] A "generative AI model" is an artificial intelligence model that automatically generates music data based on a certain algorithm.

[1470] "Music Style" refers to the type of music entered by the user (e.g., electronic dance music, classical, rock).

[1471] "Tempo" refers to the speed (in BPM) of the music input by the user.

[1472] "Atmosphere" refers to the emotional tone or mood of the music (e.g., energetic, calm).

[1473] "Instruments used" refers to the types of instruments (e.g., synthesizer, piano) used in music production.

[1474] "Emotional state" refers to the user's psychological state (e.g., joy, tiredness) that is input by the user to the system or analyzed by the system.

[1475] "Trend information" refers to the latest trends in music genres and styles.

[1476] "Royalty free" means that there is no additional payment obligation for use.

[1477] "Risk" refers to legal dangers such as rights issues and copyright infringement.

[1478] "Editing" refers to the process in which a user makes changes or modifications to the generated music data.

[1479] "Final information" refers to the final version of music data that the user has saved after editing.

[1480] The present invention relates to a system for supporting music production that utilizes a generative AI model and combines it with an emotion engine that recognizes the user's emotions. The system mainly includes the following components:

[1481] User Input Method

[1482] Users log in to the system using a terminal and enter information necessary for music creation, including details such as musical style (e.g., electronic dance music), tempo (e.g., 128 BPM), atmosphere (e.g., energetic), and instruments used (e.g., synthesizer). This data is then sent from the terminal to the server.

[1483] emotion recognition means

[1484] The device uses a built-in emotion engine to analyze the user's facial expressions, voice, typing speed, etc. to detect the user's emotional state. This emotion data is also sent to the server and used in the music generation process. For example, if the user expresses fatigue, it can suggest calming music.

[1485] Data analysis and generation method (server side)

[1486] The server analyzes the various data received from the user and converts it into an appropriate format using software libraries such as Python and TensorFlow. The data is then input into a generative AI model, which generates beats, harmonies, and samples based on music trends, user input, and emotional data. For example, if a user selects "electronic dance music," sets the tempo to "128 BPM," the mood to "energetic," and the instrument used to "synthesizer," and the emotional engine recognizes "joy," energetic and positive music material will be generated.

[1487] Results presentation means

[1488] The server sends the generated music material to the device, which receives it and displays it to the user. The generated beats, harmonies, and samples are displayed in list format or in a graphical interface, allowing the user to visually check each element.

[1489] Editing and storage methods

[1490] Users can freely edit the presented music material, adjusting the beat, changing parts of the harmony, and adding new samples. Finally, they are given the ability to save the edited music track on their device, which can then be used as their own original work.

[1491] Specific examples

[1492] For example, the user inputs the following:

[1493] Music Style: Electronic Dance Music

[1494] Tempo: 128BPM

[1495] Atmosphere: Energetic

[1496] Instruments used: Synthesizer

[1497] This information is sent from the device to a server, where an emotion engine simultaneously recognizes the user's "joy" and sends that data to the server. The server then uses this information to generate beats, harmonies, and samples using a generative AI model. The generated beats are energetic and rhythmically synchronized to 128 BPM. The generated harmonies have bright chord progressions, and synthesizer samples accentuate the energetic atmosphere.

[1498] These musical elements are then sent back to the device, where the user can review them in a list format. The user then fine-tunes the harmonies to create the final track, which is then saved on the device. This system allows even beginners to intuitively create high-quality music that matches the user's emotions.

[1499] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1500] Step 1: User login and input

[1501] Specific behavior:

[1502] A user logs into the system using a terminal and enters the required information, including details such as the music style (e.g., electronic dance music), tempo (e.g., 128 BPM), mood (e.g., energetic), and instruments used (e.g., synthesizer).

[1503] input:

[1504] User-entered information about musical style, tempo, mood, and instruments used.

[1505] output:

[1506] The input data is in the format sent from the terminal to the server.

[1507] What happens:

[1508] The terminal receives the data input by the user, converts it into a specified format, and sends it to the server.

[1509] Step 2: Emotion Recognition

[1510] Specific behavior:

[1511] The device uses a built-in emotion engine to analyze the user's facial expressions, voice, typing speed, etc. to capture their emotional state.

[1512] input:

[1513] The user's facial expression, voice, and typing speed.

[1514] output:

[1515] User emotion data (e.g., happiness, tiredness).

[1516] What happens:

[1517] The terminal analyzes the input data using an emotion engine, quantifies the user's emotional state, and transmits the quantified data to the server.

[1518] Step 3: Send data

[1519] Specific behavior:

[1520] The terminal transmits all input data, including the user's emotion data, to the server.

[1521] input:

[1522] Input data (musical style, tempo, atmosphere, instruments used), emotional data.

[1523] output:

[1524] This is the format in which data is sent to the server.

[1525] What happens:

[1526] The terminal collects all data into one packet and transmits it to the server.

[1527] Step 4: Data analysis and generation

[1528] Specific behavior:

[1529] The server analyzes the received user data and inputs the data into a generative AI model, which then generates music data based on the user's emotional state and trend information.

[1530] input:

[1531] User data received by the server (musical style, tempo, atmosphere, instruments used, emotional data).

[1532] output:

[1533] Generated music data (beats, harmonies, samples).

[1534] What happens:

[1535] The server uses software libraries such as Python and TensorFlow to analyze the data and generate optimal music data based on a generative AI model.

[1536] Step 5: Presenting the results

[1537] Specific behavior:

[1538] The server transmits the generated music data to the terminal, which receives it and displays it to the user.

[1539] input:

[1540] Generated music data (beats, harmonies, samples).

[1541] output:

[1542] A list of music data and a graphical interface provided to the user.

[1543] What happens:

[1544] The terminal displays the music data received from the server to the user in list format or waveform display format.

[1545] Step 6: Edit and save

[1546] Specific behavior:

[1547] Users can freely edit the provided music data and save the completed music track on their device.

[1548] input:

[1549] User-initiated editing instructions (e.g., adjusting beats, changing harmonies, adding samples).

[1550] output:

[1551] The final edited music track.

[1552] What happens:

[1553] The device reflects the edited content in real time, and the final edited music track is saved on the device.

[1554] (Application example 2)

[1555] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1556] Conventional music production support systems and background music playback systems generate and play music without considering the user's emotional state, making it difficult to provide music that corresponds to the emotions of customers and shoppers. Furthermore, in situations where optimal music needs to be provided in real time, particularly in physical stores, there is a problem in that music cannot be generated and played appropriately to match the emotions of each customer. This makes it difficult to maintain a consistent store atmosphere and fails to increase customer satisfaction.

[1557] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1558] In this invention, the server includes means for receiving input from a user, means for generating beats, harmonies, and samples using a generative AI model, means for presenting the generated beats, harmonies, and samples to the user, means for editing the generated beats, harmonies, and samples and saving the final track, means for recognizing the emotional state of the customer, and means for generating optimal background music in real time based on the emotional state. This makes it possible to generate and play high-quality music in real time that matches the customer's emotions, thereby creating a more appealing atmosphere in physical stores.

[1559] The "means for receiving input from the user" is an interface through which the user provides input information such as musical style, tempo, atmosphere, and instruments used to the system.

[1560] "Means for generating beats, harmonies, and samples using generative AI models" refers to means for analyzing music trends based on user input information and emotional data, and generating optimal music materials using AI models.

[1561] The "means for presenting the generated beats, harmonies, and samples to the user" refers to an interface that presents the generated musical material in list form or a graphical interface so that the user can visually check it.

[1562] "Means for editing the generated beats, harmonies, and samples and saving the final track" refers to an interface that allows the user to freely edit the generated music material and save it as a final music track.

[1563] The "means for recognizing the emotional state of the customer" refers to a means for analyzing the customer's facial expressions and voice using devices such as cameras and microphones installed in the store and recognizing their emotions.

[1564] "Means for generating optimal background music in real time based on the emotional state" refers to a means for generating optimal background music in real time using a generative AI model based on recognized emotional data, and providing music that matches the atmosphere of the store.

[1565] In this invention, a specific embodiment for implementing an emotion-based automatic BGM generation system for brick-and-mortar stores will be described.

[1566] System Configuration

[1567] The system consists of the following components:

[1568] 1. User input means: An interface through which the user (store staff) inputs information such as musical style, tempo, atmosphere, and instruments used into the system.

[1569] 2. Emotion recognition: Using cameras and microphones in the store, customers' facial expressions and voices are analyzed to recognize their emotional state.

[1570] 3. Data analysis and generation method (server side): The server analyzes the acquired emotional data and the music information entered by the user. The server uses a generative AI model to create optimal background music in real time.

[1571] 4. Result presentation method: The generated background music is played on the in-store sound system.

[1572] 5. Editing and saving means: An interface that allows store staff to freely edit and save the generated background music.

[1573] Program processing

[1574] The server uses the following hardware and software to process and calculate data.

[1575] Hardware:

[1576] Camera (e.g. Logitech C920): Captures customer facial expressions.

[1577] Microphone (e.g. Blue Yeti): To capture the voice of the customer.

[1578] Server: Performs data analysis and music generation.

[1579] software:

[1580] EmotionRecognition (Python libraries and models, e.g., OpenCV, FaceAPI): Recognize emotions from facial expressions and voice.

[1581] MusicGeneration (Python libraries and models, e.g., Magenta, Jukedeck): Generates music based on recognized emotions.

[1582] Data processing and calculation

[1583] The server processes the data as follows:

[1584] 1. Facial expression recognition: Analyzes camera footage frame by frame and estimates the customer's emotions from their facial expressions.

[1585] 2. Voice recognition: Analyzes voice data from the microphone and complements emotions from tension and tone.

[1586] 3. BGM generation: Emotional data is input into the generative AI model to generate optimal background music.

[1587] Specific examples

[1588] For example, if a customer at a cafe looks a little tired in the early afternoon, the system will recognize the "relaxed" emotion and generate and play calming cafe music (e.g., acoustic guitar melody) to help the customer relax and enjoy their tea.

[1589] Prompt Sentence Examples

[1590] Examples of prompts to input to a generative AI model include:

[1591] "If the emotional state in a cafe is recognized as 'Relaxed', generate background music using a calming acoustic guitar."

[1592] In this way, the present invention can create a more attractive atmosphere in a brick-and-mortar store and increase customer satisfaction.

[1593] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1594] Step 1:

[1595] The server receives information from the user (store staff) via user input means, such as the musical style, tempo, atmosphere, and instruments used. This information is used as the basic parameters of the music generated by the system. Examples of input information include "cafe," "relaxed," and "acoustic guitar." Based on this information, the server prepares the data to be used in the next step.

[1596] Step 2:

[1597] The server uses emotion recognition means to analyze video and audio data captured from cameras and microphones in the store. It analyzes the camera footage frame by frame and infers emotions from the customer's facial expressions. It also analyzes the tension and tone of the audio data to obtain complementary emotional data. The input data includes the captured video frames and audio, and by analyzing these, it outputs emotional data such as "relaxed" or "fatigued."

[1598] Step 3:

[1599] The server combines the basic music parameters input in step 1 with the emotional data acquired in step 2. It analyzes these data and inputs them into the generative AI model. The server generates a prompt and provides this prompt to the generative AI model. As a specific example, a prompt might be created such as, "If the emotional state in a cafe is recognized as 'Relaxed,' please generate background music using an acoustic guitar with a calming atmosphere." The input data are the basic music parameters and emotional data, and the output data are the prompt.

[1600] Step 4:

[1601] The server uses a generative AI model to generate music materials (beats, harmonies, and samples) based on the prompt. The generative AI model generates optimal music materials based on trend information and past learning data. The input data is the prompt, and the output data is the generated music materials. Specifically, it generates acoustic guitar beats and harmonies with upbeat chord progressions.

[1602] Step 5:

[1603] The server transmits the generated music material to the store terminal via the result presentation means, and visually presents the results to the user. The user can check the provided music material and perform further editing based on it. The input data is the generated music material, and the output data is a list or a graphical interface presented to the user.

[1604] Step 6:

[1605] The user can freely edit the presented music material using the editing and saving means and save the final track. Editing can include, for example, changing the beat or adding a new sample. The edited final track is played back on the store's sound system. The input data is the generated music material, and the output data is the edited final track.

[1606] This series of processes allows the optimal background music to be generated in real time to match the customer's emotions, making it possible to create an even more appealing atmosphere in a physical store.

[1607] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1608] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1609] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1610] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1611] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1612] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1613] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1614] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1615] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1616] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1617] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1618] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1619] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1620] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[1621] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1622] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1623] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1624] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1625] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1626] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1627] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1628] The following is further disclosed regarding the above embodiment.

[1629] (Claim 1)

[1630] means for receiving input from a user;

[1631] a means for analyzing the input and generating beats, harmonies, and samples using a generative AI model;

[1632] a means for presenting the generated beats, harmonies, and samples to a user;

[1633] The means to edit the generated beats, harmonies and samples and save the final track,

[1634] A system including:

[1635] (Claim 2)

[1636] means for specifying the musical style, tempo, mood, and instruments used based on user input;

[1637] A means to analyze music trends in real time and input them into a generative AI model;

[1638] The system of claim 1 further comprising:

[1639] (Claim 3)

[1640] 10. The system of claim 1, further comprising means for integrating royalty-free samples to mitigate copyright and license risks.

[1641] "Example 1"

[1642] (Claim 1)

[1643] means for receiving input from a user;

[1644] A means for analyzing the input and generating musical elements using a generative AI model;

[1645] means for presenting the generated musical elements to a user;

[1646] a means of editing the generated musical elements and saving the final track;

[1647] A system including:

[1648] (Claim 2)

[1649] means for specifying the type of music, time signature, mood, and instruments to be used based on user input;

[1650] A means to analyze musical trends in real time and input them into a generative AI model,

[1651] The system of claim 1 further comprising:

[1652] (Claim 3)

[1653] 10. The system of claim 1, further comprising means for integrating royalty-free material to mitigate copyright and license risks.

[1654] "Application Example 1"

[1655] (Claim 1)

[1656] means for receiving input from a user;

[1657] a means for analyzing the input and generating beats, harmonies, and samples using a generative AI model;

[1658] a means for presenting the generated beats, harmonies, and samples to a user;

[1659] The means to edit the generated beats, harmonies and samples and save the final track,

[1660] A means for presenting musical material generated in real time using a smart device and instantly playing music that adapts to the environment;

[1661] A system including:

[1662] (Claim 2)

[1663] means for specifying the musical style, tempo, mood, and instruments used based on user input;

[1664] A means to analyze music trends in real time and input them into a generative AI model;

[1665] A means to generate music according to the atmosphere of a store or a specific environment through smart devices;

[1666] The system of claim 1 further comprising:

[1667] (Claim 3)

[1668] 10. The system of claim 1, further comprising means for integrating royalty-free samples to mitigate copyright and license risks.

[1669] "Example 2: Combining Emotion Engines"

[1670] (Claim 1)

[1671] means for receiving input from a user;

[1672] A means for analyzing the input and generating music data using a generative AI model;

[1673] means for presenting the generated music data to a user;

[1674] A means for editing the generated music data and saving the final information;

[1675] means for analyzing the emotional state of the user received from the terminal;

[1676] means for generating music data based on the analyzed emotional state of the user;

[1677] A system including:

[1678] (Claim 2)

[1679] means for specifying information type, speed, mood, and usage elements based on user input;

[1680] A means to analyze trend information in real time and input it into the generative AI model;

[1681] The system of claim 1 further comprising:

[1682] (Claim 3)

[1683] 10. The system of claim 1, including a means for integrating royalty-free information and mitigating rights and risks.

[1684] "Application example 2 when combining emotion engines"

[1685] (Claim 1)

[1686] means for receiving input from a user;

[1687] a means for analyzing the input and generating beats, harmonies, and samples using a generative AI model;

[1688] a means for presenting the generated beats, harmonies, and samples to a user;

[1689] The means to edit the generated beats, harmonies and samples and save the final track,

[1690] a means of recognizing the emotional state of the customer;

[1691] A method for generating optimal background music in real time based on the emotional state,

[1692] A system including:

[1693] (Claim 2)

[1694] means for specifying the musical style, tempo, mood, and instruments used based on user input;

[1695] A means to analyze music trends in real time and input them into a generative AI model;

[1696] A means of recognizing emotions from customers' facial expressions and voices,

[1697] a means for inputting emotion data into a generative AI model;

[1698] The system of claim 1 further comprising:

[1699] (Claim 3)

[1700] Integrate royalty-free samples to mitigate copyright and licensing risks;

[1701] 10. The system of claim 1, further comprising means for playing emotion-based background music in real time. [Explanation of symbols]

[1702] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. means for receiving input from a user; a means for analyzing the input and generating beats, harmonies, and samples using a generative AI model; a means for presenting the generated beats, harmonies, and samples to a user; The means to edit the generated beats, harmonies and samples and save the final track, A system including:

2. means for specifying the musical style, tempo, mood, and instruments used based on user input; A means to analyze music trends in real time and input them into a generative AI model; The system of claim 1 further comprising:

3. 10. The system of claim 1, further comprising means for integrating royalty-free samples to mitigate copyright and license risks.

Images