Sound effect adjustment method and system, electronic equipment and storage medium

Abstract

The embodiment of the invention discloses a sound effect adjustment method and system, electronic equipment and a storage medium, and the method comprises the steps: generating adjustment prompt information when a parameter adjustment instruction for a target audio parameter is received; obtaining user feedback information generated based on the adjustment prompt information; generating sound effect adjustment parameters based on the user feedback information and the sound effect adjustment model; and the target audio parameter is adjusted based on the sound effect adjustment parameter, so that sound effect adjustment requirements of various users can be accurately obtained, and sound effect adjustment is performed based on the sound effect adjustment requirements of the users, thereby improving the sound effect adjustment effect.

Description

Technical Field

[0001] This invention relates to the field of audio processing technology, and in particular to a sound effect adjustment method, system, electronic device, and storage medium. Background Technology

[0002] As audio consumption scenarios continue to diversify, users' personalized demands for sound effects are becoming increasingly diverse. However, due to differences in the hardware characteristics of various audio devices and the varying production standards of different audio content, default sound effects are insufficient to cover diverse needs. Therefore, how to accurately adjust sound effects to meet user satisfaction has become a critical issue that urgently needs to be addressed in the field of audio processing.

[0003] In existing technologies, audio parameters are typically adjusted manually by the user. However, this method relies entirely on the user's experience and audio knowledge, which fails to meet the personalized needs of users lacking audio knowledge or unable to accurately express their ideas, thus impacting the user's audio tuning experience. Summary of the Invention

[0004] This invention provides a sound effect adjustment method, system, electronic device, and storage medium, which can accurately acquire the sound effect adjustment needs of various users and adjust the sound effects based on the sound effect adjustment needs of each user, thereby improving the sound effect adjustment effect.

[0005] In a first aspect, embodiments of the present invention provide a sound effect adjustment method, including:

[0006] When a parameter adjustment instruction for the target audio parameters is received, an adjustment prompt message is generated;

[0007] Obtain user feedback information based on adjustment prompts;

[0008] Sound effect adjustment parameters are generated based on user feedback and sound effect adjustment models;

[0009] Adjust the target audio parameters based on the sound effect adjustment parameters.

[0010] Optionally, when a parameter adjustment instruction for the target audio parameter is received, adjustment prompt information is generated, including: when a parameter adjustment instruction for the target audio parameter is received, at least one adjustment prompt information is generated based on the sound effect adjustment model.

[0011] Optionally, the adjustment prompt information may include at least one of the following: usage habit information, usage scenario information, music genre information, frequency information, gain information, quality factor information, instrument information, vocal information, timbre information, and listening experience information.

[0012] Optionally, the prompt information can be adjusted to include either the prompt word or the prompt voice.

[0013] Optionally, sound effect adjustment parameters are generated based on user feedback information and a sound effect adjustment model, including: generating sound effect requirement information based on user feedback information; and generating sound effect adjustment parameters based on the sound effect requirement information and the sound effect adjustment model.

[0014] Optionally, sound effect requirements information may include textual requirements.

[0015] Optionally, when a parameter adjustment instruction for a target audio parameter is received, before generating the adjustment prompt information, the method further includes: setting the standard definition rules for the target audio parameter, which includes parameter types and parameter ranges; correspondingly, generating sound effect adjustment parameters based on user feedback information and the sound effect adjustment model, including: generating sound effect adjustment parameters based on user feedback information, the sound effect adjustment model, and the standard definition rules.

[0016] Optionally, the parameter types include at least one of frequency point, gain value, quality factor value, and sound effect playback scenario; the parameter range includes at least one of frequency point range, gain value range, quality factor value range, and sound effect playback scenario range.

[0017] Optionally, generating sound effect adjustment parameters based on user feedback and the sound effect adjustment model includes generating key-value pair format sound effect adjustment parameters based on user feedback and the sound effect adjustment model.

[0018] Secondly, embodiments of the present invention also provide a sound effect adjustment system, which includes a server, a mobile device, and an audio device;

[0019] The mobile device is communicatively connected to both the server and the audio device, and the server is used to execute the sound effect adjustment method provided in any embodiment of the present invention.

[0020] Optionally, the sound effect adjustment system may also include at least one of the following: the audio device is any one of Bluetooth headphones, Bluetooth speakers, microphones, glasses, and wearable devices; the mobile device is used to receive the adjusted target audio parameters and share the adjusted target audio parameters in response to a user-triggered audio parameter sharing operation; the audio device is used to receive the adjusted target audio parameters and perform sound effect adjustment based on the adjusted target audio parameters.

[0021] Thirdly, embodiments of the present invention also provide a server, the server comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to execute the sound effect adjustment method provided in any embodiment of the present invention.

[0022] Fourthly, embodiments of the present invention also provide a computer-readable storage medium storing computer instructions, which are used to cause a processor to execute and implement the sound effect adjustment method of any embodiment of the present invention.

[0023] The technical solution of this invention solves the problem that existing technologies often cannot accurately generate sound effect adjustment parameters for users who lack audio knowledge or cannot accurately express their ideas. It addresses this by providing adjustment prompts to users, obtaining user feedback based on the prompts, generating sound effect adjustment parameters based on the user feedback and a sound effect adjustment model, and adjusting the target audio parameters accordingly.

[0024] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0025] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0026] Figure 1 This is a flowchart of a sound effect adjustment method provided in Embodiment 1 of the present invention;

[0027] Figure 2 This is a flowchart of another sound effect adjustment method provided in Embodiment 2 of the present invention;

[0028] Figure 3 This is a flowchart of another sound effect adjustment method provided in Embodiment 3 of the present invention;

[0029] Figure 4 This is a schematic diagram of the structure of a sound effect adjustment system according to Embodiment 4 of the present invention;

[0030] Figure 5 This is a schematic diagram of the structure of a sound effect adjustment device according to Embodiment 5 of the present invention;

[0031] Figure 6 This is a schematic diagram of the structure of a server provided in Embodiment Six of the present invention. Detailed Implementation

[0032] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0033] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0034] Example 1

[0035] Figure 1 This is a flowchart of a sound effect adjustment method according to Embodiment 1 of the present invention. This embodiment is applicable to situations where audio parameters are adjusted. The method can be executed by a sound effect adjustment device, which can be implemented in hardware and / or software and can be configured in an electronic device such as a computer.

[0036] like Figure 1 As shown, this embodiment discloses a sound effect adjustment method, including:

[0037] S110. When a parameter adjustment instruction for the target audio parameter is received, an adjustment prompt message is generated.

[0038] In this embodiment, the target audio parameters can be understood as parameters that require sound effect adjustments. The parameter adjustment command can be understood as a user-issued command to adjust the target audio parameters. The adjustment prompt information can be understood as information providing the user with potential optimization directions, such as usage habits, usage scenarios, and music genres. Preferably, the adjustment prompt information is in non-technical language. Non-technical language refers to simple expressions that do not involve technical jargon, complex concepts, or specific domain knowledge, and are easily understood by ordinary people. For example, it could ask non-technical questions such as whether clearer vocals are needed or whether a style suitable for jazz is desired, rather than asking technical questions such as whether to increase or decrease gain or adjust frequency. This facilitates users lacking audio knowledge or unable to accurately express their ideas to accurately understand the specific meaning of the adjustment information.

[0039] In this step, specifically, when a parameter adjustment instruction for the target audio parameters is received, the target audio parameters are analyzed to obtain the potential optimization directions corresponding to the target audio parameters, and adjustment prompt information is generated based on the potential optimization directions.

[0040] S120. Obtain user feedback information based on the adjustment prompt information.

[0041] User feedback information can be understood as the sound effect requirements provided by users based on the adjustment prompts.

[0042] S130. Generate sound effect adjustment parameters based on user feedback information and sound effect adjustment model.

[0043] In this step, specifically, sound effect adjustment parameters can be generated based on user feedback information using a sound effect adjustment model. This sound effect adjustment model can be understood as a general-purpose large language model trained based on historical user feedback information. In some embodiments, the sound effect adjustment model includes, but is not limited to, language models such as DeepSeek and Doubao. Sound effect adjustment parameters can be understood as parameters used to adjust target audio parameters, such as equalizer parameters, reverb parameters, and volume balance parameters.

[0044] S140. Adjust the target audio parameters based on the sound effect adjustment parameters.

[0045] In this step, specifically, the items to be adjusted can be obtained from the target audio parameters, and the corresponding items to be adjusted can be modified based on the sound effect adjustment parameters to obtain the adjusted target audio parameters.

[0046] The technical solution of this embodiment, by generating adjustment prompt information when a parameter adjustment instruction for the target audio parameters is received; obtaining user feedback information generated based on the adjustment prompt information; generating sound effect adjustment parameters based on the user feedback information and the sound effect adjustment model; and adjusting the target audio parameters based on the sound effect adjustment parameters, solves the problem that existing technologies often cannot accurately generate sound effect adjustment parameters for users who lack audio knowledge or cannot accurately express their ideas. It can accurately obtain the sound effect adjustment needs of various users and perform sound effect adjustments based on the sound effect adjustment needs of each user, thereby improving the sound effect adjustment effect.

[0047] Example 2

[0048] Figure 2 This is a flowchart of another sound effect adjustment method provided by Embodiment 2 of the present invention. This embodiment is a further optimization and extension based on the above embodiments, and can be combined with various optional technical solutions in the above embodiments.

[0049] like Figure 2 As shown, this embodiment discloses a sound effect adjustment method, including:

[0050] S210. When a parameter adjustment instruction for the target audio parameter is received, at least one adjustment prompt message is generated based on the sound effect adjustment model.

[0051] In this embodiment, the adjustment prompt information includes at least one of the following: usage habit information, usage scenario information, music genre information, frequency information, gain information, quality factor information, instrument information, vocal information, timbre information, and auditory perception information. The adjustment prompt information includes either a prompt word or a prompt voice. In other embodiments, the adjustment prompt information may also take other forms, such as prompt videos or prompt animations, etc., which are not specifically limited here but are merely examples.

[0052] In this step, specifically, the target audio parameters can be input into the sound effect adjustment model to obtain adjustment prompts corresponding to the target audio parameters. Then, the adjustment prompts corresponding to the target audio parameters can be fed back to the user via voice or text.

[0053] For example, if the parameter adjustment command is "Please provide multiple optimization or improvement suggestions for the target audio parameters, such as: 1. Emphasize human voices; 2. Jazz; 3. Boost bass; 4. Provide suggestions again", then it can provide the user with one or more of the following ten types of adjustment prompts: usage habit information, usage scenario information, music genre information, frequency information, gain information, quality factor information, instrument information, vocal information, timbre information, and listening experience information.

[0054] It's worth noting that since users may need to generate feedback based on adjustment prompts produced in multiple rounds, the accuracy of this feedback can be ensured by dynamically adjusting the prompts at different stages. For example, early-stage prompts could include more personal habit-related information, such as usage habits, usage scenarios, and music genres, while later-stage prompts could include more technical information. Secondly, to further guarantee the accuracy of the feedback, opposing adjustment prompts can be provided at different stages to help users avoid potentially incorrect adjustment paths and discover better solutions. Finally, adjustment prompts can be generated based on the most salient features in the target audio parameters to improve the efficiency of user feedback generation.

[0055] Furthermore, the most significant feature in the target audio parameters refers to the core characteristic that is most prominent in the current target audio parameter settings and has the greatest impact on the audio listening experience. Common examples of the most significant features include: Frequency emphasis: a significant boost in bass (e.g., +6dB gain at 60Hz), a noticeable attenuation in treble (e.g., -5dB gain at 10kHz), and a prominent midrange (clearer vocals). Curve shape: an overall warm tone (generally boosted mid and low frequencies), an overall bright tone (concentrated enhancement of mid and high frequencies), and a V-shaped curve (boosted bass and treble, lowered midrange, suitable for rock). Adjustment range: extreme parameters (gain / attenuation exceeding ±4dB in a certain frequency band), and a flat frequency range (almost no significant adjustment, close to the original sound).

[0056] S220. Obtain user feedback information based on the adjustment prompt information.

[0057] Specifically, in this step, the target adjustment prompt information selected by the user in the adjustment prompt information can be obtained, and this target adjustment prompt information can be directly used as user feedback information. Alternatively, the target adjustment prompt information selected by the user in the adjustment prompt information, along with any additional remarks or requirements, can be obtained, and both the target adjustment prompt information and the remarks or requirements information can be used as user feedback information.

[0058] Continuing with the previous example, assuming the user selects the desired adjustment prompt as "Improve sound clarity, especially highlighting vocals," then "Improve sound clarity, especially highlighting vocals" can be used as the user feedback message.

[0059] S230, Generate sound effect requirement information based on user feedback.

[0060] In this step, specifically, user feedback information can be converted into sound effect requirement information adapted to the sound effect adjustment model. This sound effect requirement information includes either textual or audio-visual requirements.

[0061] Following the previous example, based on the user feedback "improve sound clarity, especially highlighting vocals", the following sound effect requirement information can be generated: Please provide sound effect adjustment parameters suitable for improving sound clarity, especially highlighting vocals. These sound effect adjustment parameters include frequency, gain, and quality factor.

[0062] S240. Generate sound effect adjustment parameters based on sound effect requirement information and sound effect adjustment model.

[0063] In this step, specifically, the sound effect requirement information can be input into the sound effect adjustment model to obtain the sound effect adjustment parameters corresponding to the sound effect requirement information. The sound effect adjustment parameters can be in various formats, such as key-value pairs, parameter lists, and standardized label formats.

[0064] Continuing with the previous example, based on the audio effect requirement information "Please provide audio effect adjustment parameters suitable for improving sound clarity, especially highlighting vocals, including frequency, gain, and quality factor," we can generate the following audio effect adjustment parameters: a first parameter with a frequency of 3000Hz, a gain of 4.5dB, and a quality factor of 1.2; a second parameter with a frequency of 8000Hz, a gain of 3.0dB, and a quality factor of 0.8; and a third parameter with a frequency of 250Hz, a gain of -2.0dB, and a quality factor of 1.0. The first parameter can effectively enhance vocal clarity, the second parameter can effectively improve high-frequency detail, and the third parameter can appropriately reduce low-frequency reverberation and highlight mid-to-high frequencies.

[0065] The advantage of this setup is that, compared to the method of generating sound effect adjustment parameters based on user feedback information and sound effect adjustment models, the technical solution of this embodiment generates sound effect requirement information based on user feedback information, and generates sound effect adjustment parameters based on sound effect requirement information and sound effect adjustment models. This allows the sound effect adjustment models to match requirements more accurately and efficiently, thereby improving the practicality of the generated sound effect adjustment parameters.

[0066] S250: Adjust the target audio parameters based on the sound effect adjustment parameters.

[0067] The technical solution of this embodiment, by generating at least one adjustment prompt message based on the sound effect adjustment model when a parameter adjustment instruction for the target audio parameter is received; obtaining user feedback information generated based on the adjustment prompt message; generating sound effect requirement information based on the user feedback information; generating sound effect adjustment parameters based on the sound effect requirement information and the sound effect adjustment model; and adjusting the target audio parameter based on the sound effect adjustment parameters, can enable the sound effect adjustment model to match the requirements more accurately and efficiently, thereby improving the practicality of the generated sound effect adjustment parameters.

[0068] Example 3

[0069] Figure 3 This is a flowchart of another sound effect adjustment method provided in Embodiment 3 of the present invention. This embodiment is a further optimization and extension based on the above embodiments, and can be combined with various optional technical solutions in the above embodiments.

[0070] like Figure 3 As shown, this embodiment discloses a sound effect adjustment method, including:

[0071] S310. Set the standard definition rules for the target audio parameters. The standard definition rules include parameter types and parameter ranges.

[0072] In this embodiment, the parameter types include at least one of frequency point, gain value, quality factor value, and audio playback scenario. The parameter range includes at least one of frequency point range, gain value range, quality factor value range, and audio playback scenario range.

[0073] S320. When a parameter adjustment instruction for the target audio parameters is received, an adjustment prompt message is generated.

[0074] S330, Obtain user feedback information based on the adjustment prompt information.

[0075] S340 generates sound effect adjustment parameters based on user feedback, sound effect adjustment models, and standardized rules.

[0076] In this step, specifically, user feedback information and standardized rules can be directly input into the sound effect adjustment model to obtain sound effect adjustment parameters corresponding to the user feedback information and standardized rules. Alternatively, sound effect requirement information can be generated based on user feedback information, and this information, along with standardized rules, can be input into the sound effect adjustment model to obtain sound effect adjustment parameters corresponding to the sound effect requirement information and standardized rules. In some embodiments, the generated sound effect adjustment parameters are in key-value pair format, and the target audio parameters are adjusted based on these key-value pair format parameters in subsequent steps. The key-value pair format has advantages such as ease of understanding and operation, convenient addition and removal of parameters, and clear distinction of parameter meanings, making it particularly advantageous in sound effect scenarios with many parameters and frequent adjustments.

[0077] S350: Adjust the target audio parameters based on the sound effect adjustment parameters.

[0078] The technical solution of this embodiment sets standardized definition rules for target audio parameters, including parameter types and parameter ranges; when a parameter adjustment instruction for the target audio parameters is received, adjustment prompt information is generated; user feedback information generated based on the adjustment prompt information is obtained; sound effect adjustment parameters are generated based on the user feedback information, the sound effect adjustment model, and the standardized definition rules; and the target audio parameters are adjusted based on the sound effect adjustment parameters to generate sound effect adjustment parameters that conform to the standardized definition rules, thereby improving the actual adaptation effect of sound effect parameter adjustment.

[0079] In a preferred embodiment, a specification definition rule for the target audio parameters can be set. This specification definition rule includes parameter types and parameter ranges. Parameter types include at least one of frequency points, gain values, quality factor values, and sound effect playback scenarios. Parameter ranges include at least one of frequency point ranges, gain value ranges, quality factor value ranges, and sound effect playback scenario ranges.

[0080] Then, when a parameter adjustment instruction for the target audio parameters is received, at least one adjustment prompt message can be generated based on the sound effect adjustment model, and the above adjustment prompt message can be fed back to the user in the form of voice or text. The adjustment prompt message includes at least one of the following: usage habit information, usage scenario information, music style information, frequency information, gain information, quality factor information, instrument information, vocal information, timbre information, and listening experience information.

[0081] Next, user feedback information generated based on adjustment prompts can be obtained, and sound effect requirement information can be generated based on user feedback information. Finally, sound effect adjustment parameters can be generated based on sound effect requirement information, standard definition rules, and sound effect adjustment model, and the target audio parameters can be adjusted based on sound effect adjustment parameters.

[0082] The above settings greatly reduce the need for users to be professional in sound tuning, while enabling precise and efficient personalized sound effect adjustments, simplifying user operations and improving the user's sound effect adjustment experience.

[0083] Example 4

[0084] Figure 4 This is a schematic diagram of a sound effect adjustment system according to Embodiment 4 of the present invention. This embodiment can be applied to situations where the audio parameters of audio devices are adjusted.

[0085] like Figure 4As shown, this embodiment discloses a sound effect adjustment system 41, including a server 401, a mobile device 402, and an audio device 403. The mobile device 402 is communicatively connected to both the server 401 and the audio device 403. The mobile device 402 can be various types, such as a mobile phone, tablet computer, laptop computer, and smartwatch. The audio device 403 can be any of a Bluetooth headset, Bluetooth speaker, microphone, glasses, and wearable device.

[0086] Specifically, server 401 is used to execute the sound effect adjustment method provided in any embodiment of the present invention. Mobile device 402 is used to receive the adjusted target audio parameters and, in response to a user-triggered audio parameter sharing operation, share the adjusted target audio parameters. Audio device 403 is used to receive the adjusted target audio parameters and perform sound effect adjustment based on the adjusted target audio parameters.

[0087] In one specific implementation, server 401 can adjust the target audio parameters based on key-value pair format audio effect adjustment parameters to obtain adjusted target audio parameters in key-value pair format, and then send the adjusted target audio parameters in key-value pair format to mobile device 402. Then, mobile device 402 can convert the adjusted target audio parameters in key-value pair format into binary format, and upon receiving an audio parameter sharing operation triggered by a user, use Bluetooth Low Energy technology to share the adjusted target audio parameters in binary format to electronic devices such as audio device 403. Finally, audio device 403 can perform audio effect adjustment based on the adjusted target audio parameters in binary format.

[0088] The technical solution of this invention provides a sound effect adjustment system, which includes a server, a mobile device, and an audio device. The mobile device is communicatively connected to both the server and the audio device. The server executes the sound effect adjustment method provided in any embodiment of this invention. The mobile device receives the adjusted target audio parameters and shares the adjusted target audio parameters in response to a user-triggered audio parameter sharing operation. The audio device receives the adjusted target audio parameters and performs sound effect adjustment based on them. This system can accurately obtain the sound effect adjustment needs of various users and perform sound effect adjustment based on each user's needs, thereby improving the sound effect adjustment effect.

[0089] Furthermore, by converting the adjusted key-value pair format target audio parameters into binary format before sending them to the audio device, the amount of data transmitted can be significantly reduced, the device parsing cost can be lowered, the anti-interference capability can be enhanced, and the compatibility can be improved.

[0090] Example 5

[0091] Figure 5 This is a schematic diagram of a sound effect adjustment device according to Embodiment 5 of the present invention. This embodiment is applicable to situations where audio parameters are adjusted. The sound effect adjustment device can be implemented in hardware and / or software and can be configured in electronic devices such as servers.

[0092] like Figure 5 As shown, the sound effect adjustment device disclosed in this embodiment includes:

[0093] The prompt message generation module 51 is used to generate adjustment prompt messages when a parameter adjustment instruction for the target audio parameters is received.

[0094] The feedback information acquisition module 52 is used to acquire user feedback information generated based on the adjustment prompt information.

[0095] The parameter generation module 53 is used to generate sound effect adjustment parameters based on user feedback information and sound effect adjustment model.

[0096] The audio parameter adjustment module 54 is used to adjust the target audio parameters based on the sound effect adjustment parameters.

[0097] The technical solution in this embodiment, through the cooperation of the prompt information generation module 51, the feedback information acquisition module 52, the adjustment parameter generation module 53, and the audio parameter adjustment module 54, solves the problem that existing technologies often cannot accurately generate sound effect adjustment parameters for users who lack audio knowledge or cannot accurately express their ideas. It can accurately obtain the sound effect adjustment needs of various users and make sound effect adjustments based on the sound effect adjustment needs of each user, thereby improving the sound effect adjustment effect.

[0098] Optionally, the prompt message generation module 51 is specifically used to: when a parameter adjustment instruction for the target audio parameter is received, generate at least one adjustment prompt message based on the sound effect adjustment model.

[0099] Optionally, the adjustment prompt information may include at least one of the following: usage habit information, usage scenario information, music genre information, frequency information, gain information, quality factor information, instrument information, vocal information, timbre information, and listening experience information.

[0100] Optionally, the prompt information can be adjusted to include either the prompt word or the prompt voice.

[0101] Optionally, the parameter generation module 53 includes:

[0102] The sound effect requirement generation unit is used to generate sound effect requirement information based on user feedback.

[0103] The first parameter adjustment unit is used to generate sound effect adjustment parameters based on sound effect requirement information and sound effect adjustment model.

[0104] The second parameter adjustment unit is used to generate key-value pair format audio effect adjustment parameters based on user feedback information and audio effect adjustment model.

[0105] Optionally, sound effect requirements information may include textual requirements.

[0106] Optionally, the device also includes a parameter information definition module, which is used to set the standard definition rules for the target audio parameters, including parameter types and parameter ranges.

[0107] Accordingly, when the device includes a parameter information definition model, the parameter generation module 53 further includes: a third parameter adjustment unit, used to generate sound effect adjustment parameters based on user feedback information, sound effect adjustment model and standard definition rules.

[0108] Optionally, the parameter types include at least one of frequency point, gain value, quality factor value, and sound effect playback scenario; the parameter range includes at least one of frequency point range, gain value range, quality factor value range, and sound effect playback scenario range.

[0109] The sound effect adjustment device provided in this embodiment of the invention can execute the sound effect adjustment method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the method. Content not described in detail in this embodiment can be referred to the description in any method embodiment of this application.

[0110] Example 6

[0111] Figure 6 A schematic diagram of the structure of a server that can be used to implement embodiments of the present invention is shown. For example... Figure 6 As shown, the server includes at least one processor 11 and memory, such as read-only memory (ROM) 12 and random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer programs stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 can also store various programs and data required for server operation. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0112] Multiple components in the server are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of monitors, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows the server to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0113] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as sound effect adjustment methods.

[0114] In some embodiments, the sound effect adjustment method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on a server via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the sound effect adjustment method described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the sound effect adjustment method by any other suitable means (e.g., by means of firmware).

[0115] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0116] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0117] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0118] To provide interaction with the user, the systems and techniques described herein can be implemented on a server having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0119] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or middleware components (e.g., application servers), or frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0120] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0121] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0122] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. An audio effect adjustment method, characterized by, The method comprises: generating adjustment prompt information when receiving a parameter adjustment instruction for a target audio parameter; obtaining user feedback information generated based on the adjustment prompt information; generating an audio effect adjustment parameter based on the user feedback information and an audio effect adjustment model; adjusting the target audio parameter based on the audio effect adjustment parameter.

2. The sound effect adjustment method of claim 1, wherein, The method of generating adjustment prompt information when receiving a parameter adjustment instruction for a target audio parameter comprises: generating at least one item of adjustment prompt information based on an audio effect adjustment model when receiving a parameter adjustment instruction for a target audio parameter.

3. The sound effect adjustment method of claim 2, wherein, The adjustment prompt information comprises at least one of usage habit information, usage scenario information, style information, frequency information, gain size information, quality factor information, instrument information, vocal information, timbre information, and listening experience information.

4. The sound effect adjustment method of claim 2, wherein, The adjustment prompt information comprises any one of a prompt word and a prompt voice.

5. The sound effect adjusting method according to any one of claims 1 to 4, characterized in that, The method of generating an audio effect adjustment parameter based on the user feedback information and an audio effect adjustment model comprises: generating audio effect demand information based on the user feedback information; generating an audio effect adjustment parameter based on the audio effect demand information and an audio effect adjustment model.

6. The sound effect adjustment method of claim 5, wherein, The audio effect demand information comprises demand text information.

7. The sound effect adjusting method according to any one of claims 1 to 4, characterized in that, Before the method of generating adjustment prompt information when receiving a parameter adjustment instruction for a target audio parameter, the method further comprises: setting a specification definition rule for the target audio parameter, the specification definition rule comprising a parameter type and a parameter range; Correspondingly, the method of generating an audio effect adjustment parameter based on the user feedback information and an audio effect adjustment model comprises: generating an audio effect adjustment parameter based on the user feedback information, an audio effect adjustment model, and the specification definition rule.

8. The sound effect adjustment method of claim 7, wherein, The parameter type comprises at least one of a frequency point, a gain value, a quality factor value, and an audio effect playback scenario; The parameter range comprises at least one of a frequency point range, a gain value range, a quality factor value range, and an audio effect playback scenario range.

9. The sound effect adjusting method according to any one of claims 1 to 4, characterized in that, The method of generating an audio effect adjustment parameter based on the user feedback information and an audio effect adjustment model comprises: generating an audio effect adjustment parameter in a key-value pair format based on the user feedback information and an audio effect adjustment model.

10. A sound effect adjustment system, characterized by, The audio effect adjustment system comprises a server, a mobile device, and an audio device; The mobile device is communicatively connected to the server and the audio device, and the server is configured to execute the audio effect adjustment method of any one of claims 1-9.

11. The sound effect adjustment system of claim 10, wherein, The system further comprises at least one of the following: The audio device is any one of a Bluetooth headset, a Bluetooth speaker, a microphone, glasses, and a wearable device; The mobile device is configured to receive an adjusted target audio parameter and share the adjusted target audio parameter in response to a user-triggered audio parameter sharing operation; The audio device is configured to receive an adjusted target audio parameter and perform audio effect adjustment based on the adjusted target audio parameter.

12. A server, characterized by The server comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the audio effect adjustment method of any one of claims 1-9.

13. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer instructions for causing the processor to implement the sound effect adjustment method in any one of claims 1-9 when executed.

Images