system

Abstract

We provide the system. [Solution] Voice input method, Means for converting audio data acquired by the aforementioned audio input means into text data, A means for analyzing the aforementioned text data and generating information based on the user's intent, Means for transmitting the generated information in text format to a communication device, means for converting the transmitted text information into audio information, Means for providing the aforementioned audio information to the user via an output device, A system that includes this.

Description

【Technical Field】 【0001】 The technology of the present disclosure relates to a system. 【Background Art】 【0002】 Patent Document 1 discloses a persona chatbot control method performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a 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 Application Laid-Open No. 2022-180282 【Summary of the Invention】 【Problems to be Solved by the Invention】 【0004】 Users who are not accustomed to operating digital devices, such as the elderly, cannot effectively use communication devices such as smartphones and have difficulty understanding basic information acquisition and operation methods. In addition, there is the inconvenience that one has to visit a store just to solve daily problems or acquire information. 【Means for Solving the Problems】 【0005】 This invention provides a system that uses voice input to convert a user's voice into text data, analyzes that text data to generate information based on the user's intent. The generated information is transmitted to a communication device in text format, converted back into voice information, and provided to the user via an output device, allowing the user to easily obtain information in a natural conversational format and assist in operating the device. Furthermore, by obtaining necessary information from an external database via a network and quickly providing the user with the solutions they seek, the system reduces the burden of information acquisition and problem solving. 【0006】 "Voice input means" refers to a device or program that receives voice from a user and converts it into a digital signal. 【0007】 "Audio data" refers to data that digitally represents the voice spoken by a user. 【0008】 "Text data" refers to string information converted from audio data using speech recognition technology. 【0009】 "Analysis" is the process of processing input text data in order to understand the user's intentions and requirements. 【0010】 "Means of generating information" refers to software or systems that generate appropriate responses or solutions based on the user's intent. 【0011】 A "communication device" is an electronic device that transmits and receives data and can connect with external systems via the internet. 【0012】 "Auditory information" refers to auditory information generated from text data using speech synthesis technology. 【0013】 An "output device" is a physical device such as a speaker or earphones used to transmit audio information to the user. 【0014】 The "function of remotely acting on behalf" is a function that automatically operates a communication device based on a user's voice instruction. 【0015】 The "database" is a collection of information in which information that can be obtained from the outside is structured and stored. 【Brief Explanation of Drawings】 【0016】 [Figure 1] It is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13]It is a sequence diagram showing the processing flow of the data processing system in Example 2 when combined with an emotion engine. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when combined with an emotion engine. 【Embodiment for Implementing the Invention】 【0017】 Hereinafter, an example of an embodiment of the system according to the technology of the present disclosure will be described with reference to the accompanying drawings. 【0018】 First, the terms used in the following description will be explained. 【0019】 In the following embodiments, the labeled processor (hereinafter simply referred to as "processor") may be one arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be one type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include CPU (Central Processing Unit), GPU (Graphics Processing Unit), GPGPU (General-Purpose computing on Graphics Processing Units), APU (Accelerated Processing Unit), etc. 【0020】 In the following embodiments, the labeled RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor. 【0021】 In the following embodiments, the labeled storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disk (e.g., hard disk), or magnetic tape, etc. 【0022】 In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark). 【0023】 In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or." 【0024】 [First Embodiment] 【0025】 Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment. 【0026】 As shown in Figure 1, the 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. 【0027】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0028】 The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52. 【0029】 The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and 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. 【0030】 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 perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor. 【0031】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54. 【0032】 Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14. 【0033】 As shown in Figure 2, in the data processing device 12, specific processing 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" related to the technology of this 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 according to the specific processing program 56 executed on the RAM 30. 【0034】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0035】 In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0036】 Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal". 【0037】 The system of the present invention begins with the user accessing a voice input means via a device such as a smartphone. The user inputs questions or operation instructions by voice. This voice is recognized as voice data through the device's microphone. 【0038】 Next, the device sends this voice data to the server via the network. The server converts the received voice data into text data using speech recognition technology. After conversion to text data, the content is analyzed by a generative AI on the server. As a result of this analysis, the user's intent is identified, and appropriate information and operation instructions are generated based on that intent. 【0039】 The generated information is sent back to the terminal in text format. On the terminal, the received information is converted into audio information using speech synthesis technology and conveyed to the user through the speaker. This allows the user to receive an audio response. 【0040】 For example, if a user says, "Tell me the weather today," the server converts the speech into text, analyzes the content, and retrieves weather information from an external database. Then, specific information such as, "The forecast for today is sunny, and the temperature is 20 degrees Celsius," is generated and conveyed to the user as voice. 【0041】 For more advanced use, if a user instructs the system to "send an email," the system can automatically perform the action in response to the user's voice command. This allows the system to open the necessary applications based on the user's voice instructions and support the entire process from creating a new email to entering content and sending it. The user can receive voice guidance from the system as needed throughout this process. 【0042】 Thus, the present invention significantly improves the user experience, especially for elderly people who are unfamiliar with operating digital devices, by seamlessly providing users with information analyzed and generated by a server based on voice input. 【0043】 The following describes the processing flow. 【0044】 Step 1: 【0045】 The user activates the voice input function on their smartphone and inputs instructions or questions by voice. This voice input allows the system to understand the user's needs. 【0046】 Step 2: 【0047】 The device captures the user's voice using the microphone and temporarily stores it as digital audio data. The audio data is then prepared for the following processing. 【0048】 Step 3: 【0049】 The device captures audio data and sends it to the server over the network. This data transmission is encrypted to ensure data security. 【0050】 Step 4: 【0051】 The server converts the received audio data into text data using speech recognition technology. Specifically, the speech recognition engine analyzes the audio signal and generates a corresponding text string. 【0052】 Step 5: 【0053】 The server uses AI to analyze text data and understand the user's intent and requests. Based on the analysis results, it generates appropriate responses or instructions. 【0054】 Step 6: 【0055】 The server sends the generated response or instructions to the terminal in text format. The response data is sent quickly, preparing the device for the next step. 【0056】 Step 7: 【0057】 The terminal receives text data, which is then converted into speech information using a speech synthesis engine. The converted information is then prepared to be conveyed to the user. 【0058】 Step 8: 【0059】 The device transmits audio information to the user through its speaker. By listening to the audio response, the user can confirm the intended information or the result of their operation. 【0060】 For example, if a user says, "Tell me the weather," the user will ultimately receive the voice message, "Today's weather is sunny, and the temperature is 20 degrees Celsius." 【0061】 (Example 1) 【0062】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal." 【0063】 In today's world, operating increasingly multifunctional digital devices is often difficult for the elderly and tech-savvy users. Furthermore, existing voice interface systems have limitations in terms of natural conversational ability and the ability to retrieve diverse information, highlighting the need for improved user experience. Therefore, the challenge lies in providing systems that allow users to intuitively and effectively operate devices and obtain necessary information through voice commands. 【0064】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0065】 In this invention, the server includes a voice acquisition device for acquiring input information, means for converting voice codes acquired by the voice acquisition device into text information, and means for analyzing the text information and generating a response based on the user's purpose. This enables the user to intuitively operate a digital device using voice and obtain diverse and natural responses. 【0066】 A "voice acquisition device" is a device that captures a user's voice and processes it as a digital signal. 【0067】 "Speech codes" are information obtained by converting analog sound acquired by a speech acquisition device into a digital format. 【0068】 "Textual information" refers to digital data that is created by processing phonetic codes and representing the content of speech as text. 【0069】 "Analysis" is the process of processing textual information to understand the user's intent and requests, and to derive the necessary information. 【0070】 A "response" is a result that includes information or instructions generated based on the user's intent. 【0071】 A "communication device" is a device that provides a means for exchanging digital information with other devices or systems. 【0072】 An "audio signal" is data that has been converted from digital information into an electrical signal in order to reproduce it as sound. 【0073】 An "output mechanism" is a device that provides audio signals to the user as physical sound. 【0074】 The embodiment of this invention begins when a user accesses a voice input device using a terminal such as a smartphone or tablet. Through the microphone built into the terminal, the user inputs a voice command, which the voice acquisition device recognizes as a voice code. The voice code is temporarily stored within the terminal and transmitted to a server via the network. 【0075】 The server converts the received speech codes into text information using speech analysis techniques (e.g., common speech recognition APIs). This conversion requires advanced speech recognition software, and generative AI models are particularly useful here. This AI model analyzes the user's intent based on the text information and generates an appropriate response. 【0076】 Specifically, when a user prompts with "Tell me today's weather," the server queries an external information database service (for example, a general weather information API) to obtain weather information. Based on the information obtained, it then generates a response such as "Today it's sunny and the temperature is 20 degrees Celsius." 【0077】 The generated response is sent back to the terminal in text format. The terminal uses speech synthesis technology (for example, a commonly known speech synthesis API) to convert the received text information into an audio signal, which is then output to the user as speech through the speaker. The user obtains the necessary information by listening to this response. 【0078】 This system allows users to conveniently use digital devices using only their voice, without having to perform complex operations. It provides a superior user experience, especially for the elderly and those unfamiliar with digital devices, by simplifying operation and offering a natural interface. 【0079】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0080】 Step 1: 【0081】 The user uses the device's voice input function to input prompts such as "Tell me today's weather" by voice. The input is captured as speech code by the device's microphone and stored in internal memory. This is the input of voice data. The device then converts this voice data into a digital format and prepares to send it to the server. 【0082】 Step 2: 【0083】 The terminal transmits the acquired voice code to the server via the internet. The transmitted data is in digital format. The server receives this voice code and begins the process of converting it into text information using speech recognition software. This conversion process transforms the voice data into a text-based question. 【0084】 Step 3: 【0085】 The server provides textual information as input data for an AI model to analyze. The AI ​​model interprets the user's intent from the text and utilizes external information sources to obtain necessary data. For example, it may interact with an external weather information API to obtain the latest weather data. This process involves data processing and calculations to prepare accurate responses to user prompts. 【0086】 Step 4: 【0087】 The server generates a response that aligns with the user's intent based on the analysis and returns it in text format. This output is natural language text data, such as "Today it's sunny and the temperature is 20 degrees." The server then sends this to the terminal. 【0088】 Step 5: 【0089】 The terminal converts text data received from the server into an audio signal using its speech synthesis function. As a result of this conversion, synthesized audio data is generated and output to the user through the terminal's speaker. This allows the user to receive a voice response and obtain the necessary information. 【0090】 (Application Example 1) 【0091】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal." 【0092】 Current voice recognition systems do not always provide consistently fast and accurate responses to user-generated questions and instructions. Furthermore, they lack intuitive interfaces that enable elderly users and others unfamiliar with digital devices to effectively utilize them in their daily lives. Therefore, there is a need to develop systems that allow users to smoothly operate and obtain information using voice commands. 【0093】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0094】 In this invention, the server includes means for converting the user's audio data into text data in conjunction with a voice input unit, means for analyzing the user's intent from the text data and creating information, and means for outputting the created information as audio information. This makes it possible to quickly and accurately obtain information when a user asks everyday questions or makes reminders by voice, thereby improving convenience in daily life. 【0095】 A "voice input unit" is a device that receives audio data from the user and has the function of acquiring audio signals as digital data. 【0096】 "Audio data" refers to data obtained by converting sound into electrical signals, in a format that can be processed by a terminal. 【0097】 "Character data" refers to textual information generated by analyzing acoustic data, representing the content of the audio as a string of characters. 【0098】 "Means of analyzing user intent" refers to algorithms and processes that identify user requests and instructions based on text data and perform corresponding processing. 【0099】 "Means of creating information" refers to methods and devices for generating appropriate information and instructions based on the analyzed user intent. 【0100】 "Acoustic information" refers to information that is expressed again as an audio signal, such as text data or other text-based information, and is provided to the user as audio. 【0101】 To implement this invention, the user first uses a voice input unit to utter questions or instructions. The voice input unit has the ability to pick up the user's voice, digitize it as audio data, and transmit it to a server. The server then converts this audio data into text data. A commonly used voice recognition engine can be used, for example. 【0102】 The server uses a generative AI model to analyze text data and identify the user's intent. Once the user's intent is analyzed, appropriate information is generated based on it. To obtain this information, the server collects the necessary data from external databases and network resources. 【0103】 The generated information is converted back into acoustic information by the server and provided to the user as feedback in audio format. A speech synthesis engine is used for this purpose. In general software, the corresponding technology is often incorporated as the speech synthesis engine. 【0104】 For example, if a user gives a voice command saying, "I want to check my next appointment," the system will refer to a calendar app, generate voice information such as, "Your next appointment is next Wednesday at 10 AM," and respond again in voice. 【0105】 An example of a prompt is, "Please discuss an interface that allows elderly people to manage their daily schedules using voice input." This allows the generative AI model to create a response that includes content relevant to the user's intent. 【0106】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0107】 Step 1: 【0108】 The user inputs questions or instructions by voice into the voice input unit. This input is captured as acoustic data through the device's microphone. This acoustic data serves as the initial input data for the next processing step. 【0109】 Step 2: 【0110】 The terminal sends the acquired audio data to the server. The server receives the audio data and converts it into text data using a speech recognition engine. The server's process involves analyzing the audio waveform and converting it into text data. The output of this process is the speech-recognized text data. 【0111】 Step 3: 【0112】 The server inputs text data into an AI model that analyzes the user's intent. Based on the user's questions and instructions, the intent is clarified. As output of this analysis, the user receives specific information and instructions they are looking for. 【0113】 Step 4: 【0114】 Based on the analysis results, the server retrieves relevant information from external databases or resources. At this stage, it searches for information tailored to the user's intent, collecting and integrating the necessary data. The server then sends queries to the database, integrates the retrieved data, and generates information that corresponds to the user's intent. 【0115】 Step 5: 【0116】 The information generated by the server is converted into audio information by a speech synthesis engine. This conversion is the process of changing text-based information into audio signals. The output of this process is information that has been converted back into audio format. 【0117】 Step 6: 【0118】 The terminal receives audio information transmitted from the server and provides it to the user via its built-in speaker or a connected audio device. The user can listen to the spoken information and obtain the necessary information. 【0119】 This series of processes allows users to obtain information in real time via voice input and use that information to support their daily activities. 【0120】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0121】 This invention begins with the step of acquiring voice input, analyzing the voice data based on it, and converting it into text data. When a user makes a voice input using a smartphone or similar device, the voice is captured by the device's microphone and recorded as voice data. 【0122】 Next, this audio data is transmitted to a server via the network. The server converts the received audio data into text data using speech recognition technology. This text data is then analyzed by a generative AI and an emotion engine. The emotion engine identifies emotions from the user's voice characteristics and uses this to generate more personalized responses. For example, if the user is feeling dissatisfied, a response that takes that into consideration will be provided. 【0123】 The generated response information is sent to the terminal in text format. The terminal uses speech synthesis technology to convert this text information into voice information and prepares it for communication with the user. The user can then receive an emotionally nuanced voice response through the speaker. 【0124】 For example, if a user voice-inputs "I'm tired today," the emotion engine recognizes the emotion of "tiredness." The response generation mechanism then generates a supportive response to the user based on this emotion, such as "You must be tired. I hope you can get some rest," and this information is conveyed to the user via voice. 【0125】 Furthermore, when a user requests to operate an appliance by voice, if emotion recognition detects that the user is anxious, the system will quickly process the request while taking the user's emotions into consideration, responding in a gentle tone with phrases such as, "It's okay, I'll turn on the air conditioner right away." 【0126】 This invention enables the system to provide a more user-friendly experience by enabling responses and operations that take user emotions into consideration. 【0127】 The following describes the processing flow. 【0128】 Step 1: 【0129】 The user uses the device's voice input function to input questions or instructions by voice. The voice input is captured by the device's microphone and saved as digital audio data. 【0130】 Step 2: 【0131】 The device encrypts the recorded audio data and sends it to the server. Secure communication is established over the network, and the audio data reaches the server. 【0132】 Step 3: 【0133】 The server uses a speech recognition engine to convert the audio data into text data. The text extracted from the audio is a digital text string that represents the user's spoken content. 【0134】 Step 4: 【0135】 The server uses a generation AI and an emotion engine to analyze text data and identify the user's intent and emotions. The emotion engine analyzes features such as intonation and speed of speech to determine the user's emotional state. 【0136】 Step 5: 【0137】 The server generates responses that take into account the user's intent and emotions. For example, if the user is complaining of fatigue, the server will adjust its response to use gentler language. 【0138】 Step 6: 【0139】 The server sends the generated response information to the terminal in text format. The response data is processed to ensure it reaches the terminal quickly. 【0140】 Step 7: 【0141】 The text information received by the device is converted into speech information using a speech synthesis engine. The converted speech information is provided in a clear sound quality so that the user can understand it naturally. 【0142】 Step 8: 【0143】 The device transmits audio information to the user through its speaker. This allows the user to receive voice responses and confirm feedback from the system. 【0144】 For example, if a user says, "I'm feeling a little anxious, could you tell me what's scheduled for today?", the server will detect the user's anxiety and respond reassuringly with, "It's okay, you have one meeting this afternoon, but otherwise, you don't have any other appointments." 【0145】 (Example 2) 【0146】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal". 【0147】 Conventional speech recognition systems struggle to accurately understand users' emotions and intentions and provide appropriate responses based on them. Furthermore, generating personalized responses requires more advanced analytical techniques, necessitating improvements in this area. Moreover, systems need to go beyond simply executing commands in response to voice input and instead take user emotions into consideration. 【0148】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0149】 In this invention, the server includes means for converting voice information into linguistic information, means for analyzing the linguistic information and identifying the user's emotional characteristics, and means for generating a personalized response. This makes it possible to provide highly accurate personalized responses that reflect the user's emotions. 【0150】 A "voice acquisition device" is a device that captures the user's voice and records it as digital audio information. 【0151】 A "device that converts to linguistic information" is a device that analyzes audio information and converts it into linguistic information in text format. 【0152】 A "device for identifying emotional characteristics" is a device that has the ability to identify a user's emotions by analyzing converted linguistic information. 【0153】 A "device that generates personalized responses" is a device that generates responses appropriate to the user based on identified emotional characteristics. 【0154】 "Communication equipment" refers to network-enabled devices used to send and receive generated information and responses. 【0155】 An "output device" is a device that provides a response to the user in either audio or visual form. 【0156】 A "communication network" is a digital network system used to send and receive data and information between multiple locations. 【0157】 A "storage device" is an information storage device used to store external information and access it as needed. 【0158】 This invention relates to an interactive response system that uses voice input. Specifically, it provides a system for acquiring a user's voice, analyzing their emotions based on that voice, and generating and providing a personalized response. 【0159】 First, the user inputs voice into a device equipped with a voice acquisition device. This device uses its built-in microphone to capture the voice and record it as audio information. The audio information is then transmitted to a server via a network connection. 【0160】 The server uses speech recognition technology to convert speech information into text-based language information. This process uses speech recognition software, specifically a common speech recognition API. The converted language information is further analyzed to identify emotional features. The server uses an emotion analysis engine to identify emotions from the user's speech characteristics. For example, in response to the input "I'm tired today," the emotion "fatigue" is detected. 【0161】 A generative AI model generates a response associated with this emotion. For example, the generative AI might create a response like, "Thank you for your hard work. I hope you can get some rest." This linguistic response is then sent from the server to the terminal. 【0162】 The device converts text information into speech information using speech synthesis technology. A specific example of speech synthesis technology is a speech synthesis engine, which can generate natural-sounding speech responses. Finally, the user receives the response as speech through the device's speaker. 【0163】 For example, when a user voice-inputs "I'm tired today," the emotion engine identifies "fatigue." Based on this emotion, the generating AI creates the response "Thank you for your hard work. I hope you can get some rest." This result is sent to the user's device and output from the speaker as a synthesized voice response. 【0164】 An example of a prompt might be: "Identify the emotion from the user's voice and generate a corresponding response. Voice input: 'I'm tired today'." This allows the system to provide the user with a personalized and appropriate response. 【0165】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0166】 Step 1: 【0167】 The user provides voice input to a terminal equipped with a voice acquisition device. The voice acquisition device captures the voice through the microphone and records it as digital audio data. At this stage, the input is the user's voice, and the output is digital audio data. 【0168】 Step 2: 【0169】 The terminal transmits the digital audio data it has recorded to the server via the network. The terminal uses data communication technology to transfer the audio data to the server. Here, the input is the digital audio data, and the output is the audio data that has reached the server. 【0170】 Step 3: 【0171】 The server analyzes the received audio data using a speech recognition engine and converts it into text-based language data. The server analyzes the phonemes in the audio and generates corresponding words. The input to this process is audio data, and the output is text data. 【0172】 Step 4: 【0173】 The server further analyzes the generated text data to identify emotional characteristics. Using an emotion analysis engine, the server extracts emotional indicators from the text data. For example, it identifies "fatigue" from the sentence "I'm tired today." The input for this step is text data, and the output is emotional indicators. 【0174】 Step 5: 【0175】 The server generates personalized responses using a generative AI model based on sentiment indicators and text data. Based on the prompt, the system creates a response. Here, the input is sentiment indicators and text data, and the output is the personalized response. 【0176】 Step 6: 【0177】 The server sends the generated response to the terminal in a language format. The server uses data communication technology to transfer text data to the terminal. This includes the generated response. The input is the response, and the output is the response that reached the terminal. 【0178】 Step 7: 【0179】 The terminal converts received text data into speech information using a speech synthesis engine. The terminal then converts the text information into analog speech and prepares it for playback as natural-sounding audio. The input is text data, and the output is speech information. 【0180】 Step 8: 【0181】 The user receives a personalized response via audio through the device's speaker. The device uses the speaker to play the generated audio information to the user. The input is audio information, and the output is the auditory information received by the user. 【0182】 (Application Example 2) 【0183】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal". 【0184】 In recent years, robots and devices equipped with voice recognition technology have become widespread, but many of these fail to consider the user's emotions, resulting in one-way interactions. There is a need for technology that enables natural responses and actions that are sensitive to the user's feelings. This presents a challenge in providing a more friendly and effective user experience. 【0185】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0186】 In this invention, the server includes a voice acquisition device, a device for converting voice information obtained by the voice acquisition device into a linguistic expression, and a device for analyzing the linguistic expression and generating a response based on the user's psychological state. This enables personalized responses and actions that correspond to the user's emotions. 【0187】 A "voice acquisition device" is a device that acquires voice as an electronic signal and is used to capture voice from a user. 【0188】 A "device for converting into linguistic expression" is a device that analyzes acquired audio information and converts it into appropriate text. 【0189】 A "response generation device" is a device that generates a response to the user based on analyzed text and acquired external data. 【0190】 A "communication device" is a device used to transmit generated information and responses to a user's device. 【0191】 A "device that converts information into audio" is a device that synthesizes text-based information, converts it into audio, and presents it to the user. 【0192】 An "audio output device" is a device that allows the user to hear the converted audio information. 【0193】 This invention aims to realize a system that generates responses that take into account the user's emotions through voice input and provides them as voice. An embodiment thereof is shown below. 【0194】 First, the user inputs speech through a speech acquisition device. The speech acquisition device captures the user's speech information as an electronic signal and sends it to the server. The server receives this speech information and converts it into text data using a device that converts speech into linguistic representation. This conversion uses speech recognition technology such as Google® Cloud Speech-to-Text API. 【0195】 Next, the server analyzes the text data to understand the user's emotions and psychological state. A TENSORFLOW®-based emotion analysis model is used for emotion analysis. Based on the analysis results, the server uses a response generation device and a generative AI model (e.g., OpenAI® GPT model) to generate a response adapted to the user's emotions. 【0196】 The generated response is sent to the user's device via a communication device. The device converts the text data into speech via a speech conversion device and provides it to the user through a speech output device. Speech synthesis technologies such as Amazon Polly are used for speech synthesis. 【0197】 For example, if a user inputs "I'm tired today" into a voice acquisition device, the server converts this audio into text and recognizes the emotion "tiredness" using an emotion analysis model. The server then uses a generative AI model to generate a response such as "Thank you for your hard work. Please rest well," and sends it to the user's device. An example of a prompt might be, "Please write an example response for when the user says 'It's very hot today.'" 【0198】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0199】 Step 1: 【0200】 When a user speaks into the voice acquisition device, the voice input is captured. At this point, the input is the user's voice information, and the output is an electronic voice signal. The voice acquisition device transmits this signal to the server. 【0201】 Step 2: 【0202】 The server uses the Google Cloud Speech-to-Text API to receive electronic speech signals and convert them into text data. The input for this step is the acquired speech signal, and the output is the converted text data. During this conversion process, the content of the speech is analyzed and converted into text. 【0203】 Step 3: 【0204】 The server receives the converted text data and performs data analysis using a TensorFlow sentiment analysis model. This analysis identifies the user's emotions and psychological state. The input is the converted text data, and the output is information about the user's emotional state. This allows the server to determine what emotions are present. 【0205】 Step 4: 【0206】 The server uses OpenAI's GPT model to generate user-appropriate responses based on emotional state information. Inputs are the emotional state and original text data, while output is the generated response text. This process designs flexible reactions that respond to emotions. 【0207】 Step 5: 【0208】 The generated response text is transmitted to the terminal via the communication device. The input here is the response text data, and the output is the transmission of information to the terminal. The data is delivered to the user device promptly. 【0209】 Step 6: 【0210】 The device uses speech synthesis technology such as Amazon Polly to convert received text data into speech information. The input for this step is the text data of the response, and the output is the synthesized speech information. The user can then hear the response through the voice speaker. 【0211】 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating 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. 【0212】 Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0213】 In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14. 【0214】 [Second Embodiment] 【0215】 Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment. 【0216】 As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server. 【0217】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0218】 The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52. 【0219】 The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46. 【0220】 Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision). 【0221】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner. 【0222】 Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56. 【0223】 The specific processing program 56 is an example of a "program" relating to the technology of this 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. 【0224】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0225】 In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0226】 Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. 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". 【0227】 The system of the present invention begins with the user accessing a voice input means via a device such as a smartphone. The user inputs questions or operation instructions by voice. This voice is recognized as voice data through the device's microphone. 【0228】 Next, the device sends this voice data to the server via the network. The server converts the received voice data into text data using speech recognition technology. After conversion to text data, the content is analyzed by a generative AI on the server. As a result of this analysis, the user's intent is identified, and appropriate information and operation instructions are generated based on that intent. 【0229】 The generated information is sent back to the terminal in text format. On the terminal, the received information is converted into audio information using speech synthesis technology and conveyed to the user through the speaker. This allows the user to receive an audio response. 【0230】 For example, if a user says, "Tell me the weather today," the server converts the speech into text, analyzes the content, and retrieves weather information from an external database. Then, specific information such as, "The forecast for today is sunny, and the temperature is 20 degrees Celsius," is generated and conveyed to the user as voice. 【0231】 For more advanced use, if a user instructs the system to "send an email," the system can automatically perform the action in response to the user's voice command. This allows the system to open the necessary applications based on the user's voice instructions and support the entire process from creating a new email to entering content and sending it. The user can receive voice guidance from the system as needed throughout this process. 【0232】 Thus, the present invention significantly improves the user experience, especially for elderly people who are unfamiliar with operating digital devices, by seamlessly providing users with information analyzed and generated by a server based on voice input. 【0233】 The following describes the processing flow. 【0234】 Step 1: 【0235】 The user activates the voice input function on their smartphone and inputs instructions or questions by voice. This voice input allows the system to understand the user's needs. 【0236】 Step 2: 【0237】 The device captures the user's voice using the microphone and temporarily stores it as digital audio data. The audio data is then prepared for the following processing. 【0238】 Step 3: 【0239】 The device captures audio data and sends it to the server over the network. This data transmission is encrypted to ensure data security. 【0240】 Step 4: 【0241】 The server converts the received audio data into text data using speech recognition technology. Specifically, the speech recognition engine analyzes the audio signal and generates a corresponding text string. 【0242】 Step 5: 【0243】 The server uses AI to analyze text data and understand the user's intent and requests. Based on the analysis results, it generates appropriate responses or instructions. 【0244】 Step 6: 【0245】 The server sends the generated response or instructions to the terminal in text format. The response data is sent quickly, preparing the device for the next step. 【0246】 Step 7: 【0247】 The terminal receives text data, which is then converted into speech information using a speech synthesis engine. The converted information is then prepared to be conveyed to the user. 【0248】 Step 8: 【0249】 The device transmits audio information to the user through its speaker. By listening to the audio response, the user can confirm the intended information or the result of their operation. 【0250】 For example, if a user says, "Tell me the weather," the user will ultimately receive the voice message, "Today's weather is sunny, and the temperature is 20 degrees Celsius." 【0251】 (Example 1) 【0252】 Next, we will describe Example 1. 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". 【0253】 In today's world, operating increasingly multifunctional digital devices is often difficult for the elderly and tech-savvy users. Furthermore, existing voice interface systems have limitations in terms of natural conversational ability and the ability to retrieve diverse information, highlighting the need for improved user experience. Therefore, the challenge lies in providing systems that allow users to intuitively and effectively operate devices and obtain necessary information through voice commands. 【0254】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0255】 In this invention, the server includes a voice acquisition device for acquiring input information, means for converting voice codes acquired by the voice acquisition device into text information, and means for analyzing the text information and generating a response based on the user's purpose. This enables the user to intuitively operate a digital device using voice and obtain diverse and natural responses. 【0256】 A "voice acquisition device" is a device that captures a user's voice and processes it as a digital signal. 【0257】 "Speech codes" are information obtained by converting analog sound acquired by a speech acquisition device into a digital format. 【0258】 "Textual information" refers to digital data that is created by processing phonetic codes and representing the content of speech as text. 【0259】 "Analysis" is the process of processing textual information to understand the user's intent and requests, and to derive the necessary information. 【0260】 A "response" is a result that includes information or instructions generated based on the user's intent. 【0261】 A "communication device" is a device that provides a means for exchanging digital information with other devices or systems. 【0262】 An "audio signal" is data that has been converted from digital information into an electrical signal in order to reproduce it as sound. 【0263】 An "output mechanism" is a device that provides audio signals to the user as physical sound. 【0264】 The embodiment of this invention begins when a user accesses a voice input device using a terminal such as a smartphone or tablet. Through the microphone built into the terminal, the user inputs a voice command, which the voice acquisition device recognizes as a voice code. The voice code is temporarily stored within the terminal and transmitted to a server via the network. 【0265】 The server converts the received speech codes into text information using speech analysis techniques (e.g., common speech recognition APIs). This conversion requires advanced speech recognition software, and generative AI models are particularly useful here. This AI model analyzes the user's intent based on the text information and generates an appropriate response. 【0266】 Specifically, when a user prompts with "Tell me today's weather," the server queries an external information database service (for example, a general weather information API) to obtain weather information. Based on the information obtained, it then generates a response such as "Today it's sunny and the temperature is 20 degrees Celsius." 【0267】 The generated response is sent back to the terminal in text format. The terminal uses speech synthesis technology (for example, a commonly known speech synthesis API) to convert the received text information into an audio signal, which is then output to the user as speech through the speaker. The user obtains the necessary information by listening to this response. 【0268】 This system allows users to conveniently use digital devices using only their voice, without having to perform complex operations. It provides a superior user experience, especially for the elderly and those unfamiliar with digital devices, by simplifying operation and offering a natural interface. 【0269】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0270】 Step 1: 【0271】 The user uses the device's voice input function to input prompts such as "Tell me today's weather" by voice. The input is captured as speech code by the device's microphone and stored in internal memory. This is the input of voice data. The device then converts this voice data into a digital format and prepares to send it to the server. 【0272】 Step 2: 【0273】 The terminal transmits the acquired voice code to the server via the internet. The transmitted data is in digital format. The server receives this voice code and begins the process of converting it into text information using speech recognition software. This conversion process transforms the voice data into a text-based question. 【0274】 Step 3: 【0275】 The server provides textual information as input data for an AI model to analyze. The AI ​​model interprets the user's intent from the text and utilizes external information sources to obtain necessary data. For example, it may interact with an external weather information API to obtain the latest weather data. This process involves data processing and calculations to prepare accurate responses to user prompts. 【0276】 Step 4: 【0277】 The server generates a response that aligns with the user's intent based on the analysis and returns it in text format. This output is natural language text data, such as "Today it's sunny and the temperature is 20 degrees." The server then sends this to the terminal. 【0278】 Step 5: 【0279】 The terminal converts text data received from the server into an audio signal using its speech synthesis function. As a result of this conversion, synthesized audio data is generated and output to the user through the terminal's speaker. This allows the user to receive a voice response and obtain the necessary information. 【0280】 (Application Example 1) 【0281】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal." 【0282】 Current voice recognition systems do not always provide consistently fast and accurate responses to user-generated questions and instructions. Furthermore, they lack intuitive interfaces that enable elderly users and others unfamiliar with digital devices to effectively utilize them in their daily lives. Therefore, there is a need to develop systems that allow users to smoothly operate and obtain information using voice commands. 【0283】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0284】 In this invention, the server includes means for converting the user's acoustic data into character data in conjunction with the voice input unit, means for analyzing the user's intention from the character data and creating information, and means for outputting the created information as acoustic information. As a result, when the user makes daily inquiries or reminders by voice, it becomes possible to quickly and accurately obtain information, improving the convenience in daily life. 【0285】 The "voice input unit" is a device for receiving acoustic data from the user and has a function of acquiring the voice signal as digital-form data. 【0286】 "Acoustic data" is data obtained by converting voice into an electrical signal and is in a form processable by a terminal. 【0287】 "Character data" is character information generated by analyzing acoustic data and represents the content of the voice as a character string. 【0288】 The "means for analyzing the user's intention" refers to an algorithm or process for identifying the user's requests and instructions based on the character data and performing corresponding processing. 【0289】 The "means for creating information" is a method or device for generating appropriate information and instructions based on the analyzed user's intention. 【0290】 "Acoustic information" is information obtained by expressing character data or other text-form information as a voice signal again and is information provided to the user as voice. 【0291】 To implement this invention, the user first uses a voice input unit to utter questions or instructions. The voice input unit has the ability to pick up the user's voice, digitize it as audio data, and transmit it to a server. The server then converts this audio data into text data. A commonly used voice recognition engine can be used, for example. 【0292】 The server uses a generative AI model to analyze text data and identify the user's intent. Once the user's intent is analyzed, appropriate information is generated based on it. To obtain this information, the server collects the necessary data from external databases and network resources. 【0293】 The generated information is converted back into acoustic information by the server and provided to the user as feedback in audio format. A speech synthesis engine is used for this purpose. In general software, the corresponding technology is often incorporated as the speech synthesis engine. 【0294】 For example, if a user gives a voice command saying, "I want to check my next appointment," the system will refer to a calendar app, generate voice information such as, "Your next appointment is next Wednesday at 10 AM," and respond again in voice. 【0295】 An example of a prompt is, "Please discuss an interface that allows elderly people to manage their daily schedules using voice input." This allows the generative AI model to create a response that includes content relevant to the user's intent. 【0296】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0297】 Step 1: 【0298】 The user inputs questions or instructions into the voice input unit by voice. This input is obtained as acoustic data through the microphone of the terminal. This acoustic data is the initial input data for the following processing. 【0299】 Step 2: 【0300】 The terminal transmits the acquired acoustic data to the server. The server receives the acoustic data and converts it into character data using a voice recognition engine. What the server does is the process of converting it into text data by analyzing the voice waveform. The output of this process is the character data recognized by voice. 【0301】 Step 3: 【0302】 The server inputs the character data into the generative AI model and analyzes the user's intention. Based on the user's question or instruction content, the intention is clarified. As the output of this analysis, specific information or instructions requested by the user can be obtained. 【0303】 Step 4: 【0304】 The server obtains relevant information from an external database or resource based on the analysis result. At this stage, a search for information matching the user's intention is performed, and necessary data is collected and integrated. The server sends a query to the database, integrates the obtained data, and generates information corresponding to the user's intention. 【0305】 Step 5: 【0306】 The information generated by the server is converted into acoustic information by a voice synthesis engine. This conversion is the process of changing text-formatted information into a voice signal. The output of this process is information in voice format again. 【0307】 Step 6: 【0308】 The terminal receives audio information transmitted from the server and provides it to the user via its built-in speaker or a connected audio device. The user can listen to the spoken information and obtain the necessary information. 【0309】 This series of processes allows users to obtain information in real time via voice input and use that information to support their daily activities. 【0310】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0311】 This invention begins with the step of acquiring voice input, analyzing the voice data based on it, and converting it into text data. When a user makes a voice input using a smartphone or similar device, the voice is captured by the device's microphone and recorded as voice data. 【0312】 Next, this audio data is transmitted to a server via the network. The server converts the received audio data into text data using speech recognition technology. This text data is then analyzed by a generative AI and an emotion engine. The emotion engine identifies emotions from the user's voice characteristics and uses this to generate more personalized responses. For example, if the user is feeling dissatisfied, a response that takes that into consideration will be provided. 【0313】 The generated response information is sent to the terminal in text format. The terminal uses speech synthesis technology to convert this text information into voice information and prepares it for communication with the user. The user can then receive an emotionally nuanced voice response through the speaker. 【0314】 For example, if a user voice-inputs "I'm tired today," the emotion engine recognizes the emotion of "tiredness." The response generation mechanism then generates a supportive response to the user based on this emotion, such as "You must be tired. I hope you can get some rest," and this information is conveyed to the user via voice. 【0315】 Furthermore, when a user requests to operate an appliance by voice, if emotion recognition detects that the user is anxious, the system will quickly process the request while taking the user's emotions into consideration, responding in a gentle tone with phrases such as, "It's okay, I'll turn on the air conditioner right away." 【0316】 This invention enables the system to provide a more user-friendly experience by enabling responses and operations that take user emotions into consideration. 【0317】 The following describes the processing flow. 【0318】 Step 1: 【0319】 The user uses the device's voice input function to input questions or instructions by voice. The voice input is captured by the device's microphone and saved as digital audio data. 【0320】 Step 2: 【0321】 The device encrypts the recorded audio data and sends it to the server. Secure communication is established over the network, and the audio data reaches the server. 【0322】 Step 3: 【0323】 The server uses a speech recognition engine to convert the audio data into text data. The text extracted from the audio is a digital text string that represents the user's spoken content. 【0324】 Step 4: 【0325】 The server uses a generation AI and an emotion engine to analyze text data and identify the user's intent and emotions. The emotion engine analyzes features such as intonation and speed of speech to determine the user's emotional state. 【0326】 Step 5: 【0327】 The server generates responses that take into account the user's intent and emotions. For example, if the user is complaining of fatigue, the server will adjust its response to use gentler language. 【0328】 Step 6: 【0329】 The server sends the generated response information to the terminal in text format. The response data is processed to ensure it reaches the terminal quickly. 【0330】 Step 7: 【0331】 The text information received by the device is converted into speech information using a speech synthesis engine. The converted speech information is provided in a clear sound quality so that the user can understand it naturally. 【0332】 Step 8: 【0333】 The device transmits audio information to the user through its speaker. This allows the user to receive voice responses and confirm feedback from the system. 【0334】 For example, if a user says, "I'm feeling a little anxious, could you tell me what's scheduled for today?", the server will detect the user's anxiety and respond reassuringly with, "It's okay, you have one meeting this afternoon, but otherwise, you don't have any other appointments." 【0335】 (Example 2) 【0336】 Next, we will describe Example 2. 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". 【0337】 Conventional speech recognition systems struggle to accurately understand users' emotions and intentions and provide appropriate responses based on them. Furthermore, generating personalized responses requires more advanced analytical techniques, necessitating improvements in this area. Moreover, systems need to go beyond simply executing commands in response to voice input and instead take user emotions into consideration. 【0338】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0339】 In this invention, the server includes means for converting voice information into linguistic information, means for analyzing the linguistic information and identifying the user's emotional characteristics, and means for generating a personalized response. This makes it possible to provide highly accurate personalized responses that reflect the user's emotions. 【0340】 A "voice acquisition device" is a device that captures the user's voice and records it as digital audio information. 【0341】 A "device that converts to linguistic information" is a device that analyzes audio information and converts it into linguistic information in text format. 【0342】 A "device for identifying emotional characteristics" is a device that has the ability to identify a user's emotions by analyzing converted linguistic information. 【0343】 A "device that generates personalized responses" is a device that generates responses appropriate to the user based on identified emotional characteristics. 【0344】 "Communication equipment" refers to network-enabled devices used to send and receive generated information and responses. 【0345】 An "output device" is a device that provides a response to the user in either audio or visual form. 【0346】 A "communication network" is a digital network system used to send and receive data and information between multiple locations. 【0347】 A "storage device" is an information storage device used to store external information and access it as needed. 【0348】 This invention relates to an interactive response system that uses voice input. Specifically, it provides a system for acquiring a user's voice, analyzing their emotions based on that voice, and generating and providing a personalized response. 【0349】 First, the user inputs voice into a device equipped with a voice acquisition device. This device uses its built-in microphone to capture the voice and record it as audio information. The audio information is then transmitted to a server via a network connection. 【0350】 The server uses speech recognition technology to convert speech information into text-based language information. This process uses speech recognition software, specifically a common speech recognition API. The converted language information is further analyzed to identify emotional features. The server uses an emotion analysis engine to identify emotions from the user's speech characteristics. For example, in response to the input "I'm tired today," the emotion "fatigue" is detected. 【0351】 A generative AI model generates a response associated with this emotion. For example, the generative AI might create a response like, "Thank you for your hard work. I hope you can get some rest." This linguistic response is then sent from the server to the terminal. 【0352】 The device converts text information into speech information using speech synthesis technology. A specific example of speech synthesis technology is a speech synthesis engine, which can generate natural-sounding speech responses. Finally, the user receives the response as speech through the device's speaker. 【0353】 For example, when a user voice-inputs "I'm tired today," the emotion engine identifies "fatigue." Based on this emotion, the generating AI creates the response "Thank you for your hard work. I hope you can get some rest." This result is sent to the user's device and output from the speaker as a synthesized voice response. 【0354】 An example of a prompt might be: "Identify the emotion from the user's voice and generate a corresponding response. Voice input: 'I'm tired today'." This allows the system to provide the user with a personalized and appropriate response. 【0355】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0356】 Step 1: 【0357】 The user provides voice input to a terminal equipped with a voice acquisition device. The voice acquisition device captures the voice through the microphone and records it as digital audio data. At this stage, the input is the user's voice, and the output is digital audio data. 【0358】 Step 2: 【0359】 The terminal transmits the digital audio data it has recorded to the server via the network. The terminal uses data communication technology to transfer the audio data to the server. Here, the input is the digital audio data, and the output is the audio data that has reached the server. 【0360】 Step 3: 【0361】 The server analyzes the received audio data using a speech recognition engine and converts it into text-based language data. The server analyzes the phonemes in the audio and generates corresponding words. The input to this process is audio data, and the output is text data. 【0362】 Step 4: 【0363】 The server further analyzes the generated text data to identify emotional characteristics. Using an emotion analysis engine, the server extracts emotional indicators from the text data. For example, it identifies "fatigue" from the sentence "I'm tired today." The input for this step is text data, and the output is emotional indicators. 【0364】 Step 5: 【0365】 The server generates personalized responses using a generative AI model based on sentiment indicators and text data. Based on the prompt, the system creates a response. Here, the input is sentiment indicators and text data, and the output is the personalized response. 【0366】 Step 6: 【0367】 The server sends the generated response to the terminal in a language format. The server uses data communication technology to transfer text data to the terminal. This includes the generated response. The input is the response, and the output is the response that reached the terminal. 【0368】 Step 7: 【0369】 The terminal converts received text data into speech information using a speech synthesis engine. The terminal then converts the text information into analog speech and prepares it for playback as natural-sounding audio. The input is text data, and the output is speech information. 【0370】 Step 8: 【0371】 The user receives a personalized response via audio through the device's speaker. The device uses the speaker to play the generated audio information to the user. The input is audio information, and the output is the auditory information received by the user. 【0372】 (Application Example 2) 【0373】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the smart glasses 214 as the "terminal". 【0374】 In recent years, robots and devices equipped with voice recognition technology have become widespread, but many of these fail to consider the user's emotions, resulting in one-way interactions. There is a need for technology that enables natural responses and actions that are sensitive to the user's feelings. This presents a challenge in providing a more friendly and effective user experience. 【0375】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0376】 In this invention, the server includes a voice acquisition device, a device for converting voice information obtained by the voice acquisition device into a linguistic expression, and a device for analyzing the linguistic expression and generating a response based on the user's psychological state. This enables personalized responses and actions that correspond to the user's emotions. 【0377】 A "voice acquisition device" is a device that acquires voice as an electronic signal and is used to capture voice from a user. 【0378】 A "device for converting into linguistic expression" is a device that analyzes acquired audio information and converts it into appropriate text. 【0379】 A "response generation device" is a device that generates a response to the user based on analyzed text and acquired external data. 【0380】 A "communication device" is a device used to transmit generated information and responses to a user's device. 【0381】 A "device that converts information into audio" is a device that synthesizes text-based information, converts it into audio, and presents it to the user. 【0382】 An "audio output device" is a device that allows the user to hear the converted audio information. 【0383】 This invention aims to realize a system that generates responses that take into account the user's emotions through voice input and provides them as voice. An embodiment thereof is shown below. 【0384】 First, the user inputs speech through a speech acquisition device. The speech acquisition device captures the user's speech information as an electronic signal and sends it to the server. The server receives this speech information and converts it into text data using a device that converts speech into linguistic representation. This conversion uses speech recognition technology such as the Google Cloud Speech-to-Text API. 【0385】 Next, the server analyzes the text data to understand the user's emotions and psychological state. A TensorFlow-based emotion analysis model is used for emotion analysis. Based on the analysis results, the server uses a response generation device and a generative AI model (e.g., OpenAI GPT model) to generate a response adapted to the user's emotions. 【0386】 The generated response is sent to the user's device via a communication device. The device converts the text data into speech via a speech conversion device and provides it to the user through a speech output device. Speech synthesis technologies such as Amazon Polly are used for speech synthesis. 【0387】 For example, if a user inputs "I'm tired today" into a voice acquisition device, the server converts this audio into text and recognizes the emotion "tiredness" using an emotion analysis model. The server then uses a generative AI model to generate a response such as "Thank you for your hard work. Please rest well," and sends it to the user's device. An example of a prompt might be, "Please write an example response for when the user says 'It's very hot today.'" 【0388】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0389】 Step 1: 【0390】 When a user speaks into the voice acquisition device, the voice input is captured. At this point, the input is the user's voice information, and the output is an electronic voice signal. The voice acquisition device transmits this signal to the server. 【0391】 Step 2: 【0392】 The server uses the Google Cloud Speech-to-Text API to receive electronic speech signals and convert them into text data. The input for this step is the acquired speech signal, and the output is the converted text data. During this conversion process, the content of the speech is analyzed and converted into text. 【0393】 Step 3: 【0394】 The server receives the converted text data and performs data analysis using a TensorFlow sentiment analysis model. This analysis identifies the user's emotions and psychological state. The input is the converted text data, and the output is information about the user's emotional state. This allows the server to determine what emotions are present. 【0395】 Step 4: 【0396】 The server uses OpenAI's GPT model to generate user-appropriate responses based on emotional state information. Inputs are the emotional state and original text data, while output is the generated response text. This process designs flexible reactions that respond to emotions. 【0397】 Step 5: 【0398】 The generated response text is transmitted to the terminal via the communication device. The input here is the response text data, and the output is the transmission of information to the terminal. The data is delivered to the user device promptly. 【0399】 Step 6: 【0400】 The device uses speech synthesis technology such as Amazon Polly to convert received text data into speech information. The input for this step is the text data of the response, and the output is the synthesized speech information. The user can then hear the response through the voice speaker. 【0401】 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data. 【0402】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0403】 In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214. 【0404】 [Third Embodiment] 【0405】 Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment. 【0406】 As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server. 【0407】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0408】 The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52. 【0409】 The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46. 【0410】 Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision). 【0411】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner. 【0412】 Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56. 【0413】 The specific processing program 56 is an example of a "program" relating to the technology of this 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. 【0414】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0415】 In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0416】 Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal". 【0417】 The system of the present invention begins with the user accessing a voice input means via a device such as a smartphone. The user inputs questions or operation instructions by voice. This voice is recognized as voice data through the device's microphone. 【0418】 Next, the device sends this voice data to the server via the network. The server converts the received voice data into text data using speech recognition technology. After conversion to text data, the content is analyzed by a generative AI on the server. As a result of this analysis, the user's intent is identified, and appropriate information and operation instructions are generated based on that intent. 【0419】 The generated information is sent back to the terminal in text format. On the terminal, the received information is converted into audio information using speech synthesis technology and conveyed to the user through the speaker. This allows the user to receive an audio response. 【0420】 For example, if a user says, "Tell me the weather today," the server converts the speech into text, analyzes the content, and retrieves weather information from an external database. Then, specific information such as, "The forecast for today is sunny, and the temperature is 20 degrees Celsius," is generated and conveyed to the user as voice. 【0421】 For more advanced use, if a user instructs the system to "send an email," the system can automatically perform the action in response to the user's voice command. This allows the system to open the necessary applications based on the user's voice instructions and support the entire process from creating a new email to entering content and sending it. The user can receive voice guidance from the system as needed throughout this process. 【0422】 Thus, the present invention significantly improves the user experience, especially for elderly people who are unfamiliar with operating digital devices, by seamlessly providing users with information analyzed and generated by a server based on voice input. 【0423】 The following describes the processing flow. 【0424】 Step 1: 【0425】 The user activates the voice input function on their smartphone and inputs instructions or questions by voice. This voice input allows the system to understand the user's needs. 【0426】 Step 2: 【0427】 The device captures the user's voice using the microphone and temporarily stores it as digital audio data. The audio data is then prepared for the following processing. 【0428】 Step 3: 【0429】 The device captures audio data and sends it to the server over the network. This data transmission is encrypted to ensure data security. 【0430】 Step 4: 【0431】 The server converts the received audio data into text data using speech recognition technology. Specifically, the speech recognition engine analyzes the audio signal and generates a corresponding text string. 【0432】 Step 5: 【0433】 The server uses AI to analyze text data and understand the user's intent and requests. Based on the analysis results, it generates appropriate responses or instructions. 【0434】 Step 6: 【0435】 The server sends the generated response or instructions to the terminal in text format. The response data is sent quickly, preparing the device for the next step. 【0436】 Step 7: 【0437】 The terminal receives text data, which is then converted into speech information using a speech synthesis engine. The converted information is then prepared to be conveyed to the user. 【0438】 Step 8: 【0439】 The device transmits audio information to the user through its speaker. By listening to the audio response, the user can confirm the intended information or the result of their operation. 【0440】 For example, if a user says, "Tell me the weather," the user will ultimately receive the voice message, "Today's weather is sunny, and the temperature is 20 degrees Celsius." 【0441】 (Example 1) 【0442】 Next, we will describe Example 1. 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." 【0443】 In today's world, operating increasingly multifunctional digital devices is often difficult for the elderly and tech-savvy users. Furthermore, existing voice interface systems have limitations in terms of natural conversational ability and the ability to retrieve diverse information, highlighting the need for improved user experience. Therefore, the challenge lies in providing systems that allow users to intuitively and effectively operate devices and obtain necessary information through voice commands. 【0444】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0445】 In this invention, the server includes a voice acquisition device for acquiring input information, means for converting voice codes acquired by the voice acquisition device into text information, and means for analyzing the text information and generating a response based on the user's purpose. This enables the user to intuitively operate a digital device using voice and obtain diverse and natural responses. 【0446】 A "voice acquisition device" is a device that captures a user's voice and processes it as a digital signal. 【0447】 "Speech codes" are information obtained by converting analog sound acquired by a speech acquisition device into a digital format. 【0448】 "Textual information" refers to digital data that is created by processing phonetic codes and representing the content of speech as text. 【0449】 "Analysis" is the process of processing textual information to understand the user's intent and requests, and to derive the necessary information. 【0450】 A "response" is a result that includes information or instructions generated based on the user's intent. 【0451】 A "communication device" is a device that provides a means for exchanging digital information with other devices or systems. 【0452】 An "audio signal" is data that has been converted from digital information into an electrical signal in order to reproduce it as sound. 【0453】 An "output mechanism" is a device that provides audio signals to the user as physical sound. 【0454】 The embodiment of this invention begins when a user accesses a voice input device using a terminal such as a smartphone or tablet. Through the microphone built into the terminal, the user inputs a voice command, which the voice acquisition device recognizes as a voice code. The voice code is temporarily stored within the terminal and transmitted to a server via the network. 【0455】 The server converts the received speech codes into text information using speech analysis techniques (e.g., common speech recognition APIs). This conversion requires advanced speech recognition software, and generative AI models are particularly useful here. This AI model analyzes the user's intent based on the text information and generates an appropriate response. 【0456】 Specifically, when a user prompts with "Tell me today's weather," the server queries an external information database service (for example, a general weather information API) to obtain weather information. Based on the information obtained, it then generates a response such as "Today it's sunny and the temperature is 20 degrees Celsius." 【0457】 The generated response is sent back to the terminal in text format. The terminal uses speech synthesis technology (for example, a commonly known speech synthesis API) to convert the received text information into an audio signal, which is then output to the user as speech through the speaker. The user obtains the necessary information by listening to this response. 【0458】 This system allows users to conveniently use digital devices using only their voice, without having to perform complex operations. It provides a superior user experience, especially for the elderly and those unfamiliar with digital devices, by simplifying operation and offering a natural interface. 【0459】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0460】 Step 1: 【0461】 The user uses the device's voice input function to input prompts such as "Tell me today's weather" by voice. The input is captured as speech code by the device's microphone and stored in internal memory. This is the input of voice data. The device then converts this voice data into a digital format and prepares to send it to the server. 【0462】 Step 2: 【0463】 The terminal transmits the acquired voice code to the server via the internet. The transmitted data is in digital format. The server receives this voice code and begins the process of converting it into text information using speech recognition software. This conversion process transforms the voice data into a text-based question. 【0464】 Step 3: 【0465】 The server provides textual information as input data for an AI model to analyze. The AI ​​model interprets the user's intent from the text and utilizes external information sources to obtain necessary data. For example, it may interact with an external weather information API to obtain the latest weather data. This process involves data processing and calculations to prepare accurate responses to user prompts. 【0466】 Step 4: 【0467】 The server generates a response that aligns with the user's intent based on the analysis and returns it in text format. This output is natural language text data, such as "Today it's sunny and the temperature is 20 degrees." The server then sends this to the terminal. 【0468】 Step 5: 【0469】 The terminal converts text data received from the server into an audio signal using its speech synthesis function. As a result of this conversion, synthesized audio data is generated and output to the user through the terminal's speaker. This allows the user to receive a voice response and obtain the necessary information. 【0470】 (Application Example 1) 【0471】 Next, we will explain Application Example 1. In the following explanation, 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." 【0472】 Current voice recognition systems do not always provide consistently fast and accurate responses to user-generated questions and instructions. Furthermore, they lack intuitive interfaces that enable elderly users and others unfamiliar with digital devices to effectively utilize them in their daily lives. Therefore, there is a need to develop systems that allow users to smoothly operate and obtain information using voice commands. 【0473】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0474】 In this invention, the server includes means for converting the user's audio data into text data in conjunction with a voice input unit, means for analyzing the user's intent from the text data and creating information, and means for outputting the created information as audio information. This makes it possible to quickly and accurately obtain information when a user asks everyday questions or makes reminders by voice, thereby improving convenience in daily life. 【0475】 A "voice input unit" is a device that receives audio data from the user and has the function of acquiring audio signals as digital data. 【0476】 "Audio data" refers to data obtained by converting sound into electrical signals, in a format that can be processed by a terminal. 【0477】 "Character data" refers to textual information generated by analyzing acoustic data, representing the content of the audio as a string of characters. 【0478】 "Means of analyzing user intent" refers to algorithms and processes that identify user requests and instructions based on text data and perform corresponding processing. 【0479】 "Means of creating information" refers to methods and devices for generating appropriate information and instructions based on the analyzed user intent. 【0480】 "Acoustic information" refers to information that is expressed again as an audio signal, such as text data or other text-based information, and is provided to the user as audio. 【0481】 To implement this invention, the user first uses a voice input unit to utter questions or instructions. The voice input unit has the ability to pick up the user's voice, digitize it as audio data, and transmit it to a server. The server then converts this audio data into text data. A commonly used voice recognition engine can be used, for example. 【0482】 The server uses a generative AI model to analyze text data and identify the user's intent. Once the user's intent is analyzed, appropriate information is generated based on it. To obtain this information, the server collects the necessary data from external databases and network resources. 【0483】 The generated information is converted back into acoustic information by the server and provided to the user as feedback in audio format. A speech synthesis engine is used for this purpose. In general software, the corresponding technology is often incorporated as the speech synthesis engine. 【0484】 For example, if a user gives a voice command saying, "I want to check my next appointment," the system will refer to a calendar app, generate voice information such as, "Your next appointment is next Wednesday at 10 AM," and respond again in voice. 【0485】 An example of a prompt is, "Please discuss an interface that allows elderly people to manage their daily schedules using voice input." This allows the generative AI model to create a response that includes content relevant to the user's intent. 【0486】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0487】 Step 1: 【0488】 The user inputs questions or instructions by voice into the voice input unit. This input is captured as acoustic data through the device's microphone. This acoustic data serves as the initial input data for the next processing step. 【0489】 Step 2: 【0490】 The terminal sends the acquired audio data to the server. The server receives the audio data and converts it into text data using a speech recognition engine. The server's process involves analyzing the audio waveform and converting it into text data. The output of this process is the speech-recognized text data. 【0491】 Step 3: 【0492】 The server inputs text data into an AI model that analyzes the user's intent. Based on the user's questions and instructions, the intent is clarified. As output of this analysis, the user receives specific information and instructions they are looking for. 【0493】 Step 4: 【0494】 Based on the analysis results, the server retrieves relevant information from external databases or resources. At this stage, it searches for information tailored to the user's intent, collecting and integrating the necessary data. The server then sends queries to the database, integrates the retrieved data, and generates information that corresponds to the user's intent. 【0495】 Step 5: 【0496】 The information generated by the server is converted into audio information by a speech synthesis engine. This conversion is the process of changing text-based information into audio signals. The output of this process is information that has been converted back into audio format. 【0497】 Step 6: 【0498】 The terminal receives audio information transmitted from the server and provides it to the user via its built-in speaker or a connected audio device. The user can listen to the spoken information and obtain the necessary information. 【0499】 This series of processes allows users to obtain information in real time via voice input and use that information to support their daily activities. 【0500】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0501】 This invention begins with the step of acquiring voice input, analyzing the voice data based on it, and converting it into text data. When a user makes a voice input using a smartphone or similar device, the voice is captured by the device's microphone and recorded as voice data. 【0502】 Next, this audio data is transmitted to a server via the network. The server converts the received audio data into text data using speech recognition technology. This text data is then analyzed by a generative AI and an emotion engine. The emotion engine identifies emotions from the user's voice characteristics and uses this to generate more personalized responses. For example, if the user is feeling dissatisfied, a response that takes that into consideration will be provided. 【0503】 The generated response information is sent to the terminal in text format. The terminal uses speech synthesis technology to convert this text information into voice information and prepares it for communication with the user. The user can then receive an emotionally nuanced voice response through the speaker. 【0504】 For example, if a user voice-inputs "I'm tired today," the emotion engine recognizes the emotion of "tiredness." The response generation mechanism then generates a supportive response to the user based on this emotion, such as "You must be tired. I hope you can get some rest," and this information is conveyed to the user via voice. 【0505】 Furthermore, when a user requests to operate an appliance by voice, if emotion recognition detects that the user is anxious, the system will quickly process the request while taking the user's emotions into consideration, responding in a gentle tone with phrases such as, "It's okay, I'll turn on the air conditioner right away." 【0506】 This invention enables the system to provide a more user-friendly experience by enabling responses and operations that take user emotions into consideration. 【0507】 The following describes the processing flow. 【0508】 Step 1: 【0509】 The user uses the device's voice input function to input questions or instructions by voice. The voice input is captured by the device's microphone and saved as digital audio data. 【0510】 Step 2: 【0511】 The device encrypts the recorded audio data and sends it to the server. Secure communication is established over the network, and the audio data reaches the server. 【0512】 Step 3: 【0513】 The server uses a speech recognition engine to convert the audio data into text data. The text extracted from the audio is a digital text string that represents the user's spoken content. 【0514】 Step 4: 【0515】 The server uses a generation AI and an emotion engine to analyze text data and identify the user's intent and emotions. The emotion engine analyzes features such as intonation and speed of speech to determine the user's emotional state. 【0516】 Step 5: 【0517】 The server generates responses that take into account the user's intent and emotions. For example, if the user is complaining of fatigue, the server will adjust its response to use gentler language. 【0518】 Step 6: 【0519】 The server sends the generated response information to the terminal in text format. The response data is processed to ensure it reaches the terminal quickly. 【0520】 Step 7: 【0521】 The text information received by the device is converted into speech information using a speech synthesis engine. The converted speech information is provided in a clear sound quality so that the user can understand it naturally. 【0522】 Step 8: 【0523】 The device transmits audio information to the user through its speaker. This allows the user to receive voice responses and confirm feedback from the system. 【0524】 For example, if a user says, "I'm feeling a little anxious, could you tell me what's scheduled for today?", the server will detect the user's anxiety and respond reassuringly with, "It's okay, you have one meeting this afternoon, but otherwise, you don't have any other appointments." 【0525】 (Example 2) 【0526】 Next, we will describe Example 2. 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." 【0527】 Conventional speech recognition systems struggle to accurately understand users' emotions and intentions and provide appropriate responses based on them. Furthermore, generating personalized responses requires more advanced analytical techniques, necessitating improvements in this area. Moreover, systems need to go beyond simply executing commands in response to voice input and instead take user emotions into consideration. 【0528】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0529】 In this invention, the server includes means for converting voice information into linguistic information, means for analyzing the linguistic information and identifying the user's emotional characteristics, and means for generating a personalized response. This makes it possible to provide highly accurate personalized responses that reflect the user's emotions. 【0530】 A "voice acquisition device" is a device that captures the user's voice and records it as digital audio information. 【0531】 A "device that converts to linguistic information" is a device that analyzes audio information and converts it into linguistic information in text format. 【0532】 A "device for identifying emotional characteristics" is a device that has the ability to identify a user's emotions by analyzing converted linguistic information. 【0533】 A "device that generates personalized responses" is a device that generates responses appropriate to the user based on identified emotional characteristics. 【0534】 "Communication equipment" refers to network-enabled devices used to send and receive generated information and responses. 【0535】 An "output device" is a device that provides a response to the user in either audio or visual form. 【0536】 A "communication network" is a digital network system used to send and receive data and information between multiple locations. 【0537】 A "storage device" is an information storage device used to store external information and access it as needed. 【0538】 This invention relates to an interactive response system that uses voice input. Specifically, it provides a system for acquiring a user's voice, analyzing their emotions based on that voice, and generating and providing a personalized response. 【0539】 First, the user inputs voice into a device equipped with a voice acquisition device. This device uses its built-in microphone to capture the voice and record it as audio information. The audio information is then transmitted to a server via a network connection. 【0540】 The server uses speech recognition technology to convert speech information into text-based language information. This process uses speech recognition software, specifically a common speech recognition API. The converted language information is further analyzed to identify emotional features. The server uses an emotion analysis engine to identify emotions from the user's speech characteristics. For example, in response to the input "I'm tired today," the emotion "fatigue" is detected. 【0541】 A generative AI model generates a response associated with this emotion. For example, the generative AI might create a response like, "Thank you for your hard work. I hope you can get some rest." This linguistic response is then sent from the server to the terminal. 【0542】 The device converts text information into speech information using speech synthesis technology. A specific example of speech synthesis technology is a speech synthesis engine, which can generate natural-sounding speech responses. Finally, the user receives the response as speech through the device's speaker. 【0543】 For example, when a user voice-inputs "I'm tired today," the emotion engine identifies "fatigue." Based on this emotion, the generating AI creates the response "Thank you for your hard work. I hope you can get some rest." This result is sent to the user's device and output from the speaker as a synthesized voice response. 【0544】 An example of a prompt might be: "Identify the emotion from the user's voice and generate a corresponding response. Voice input: 'I'm tired today'." This allows the system to provide the user with a personalized and appropriate response. 【0545】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0546】 Step 1: 【0547】 The user provides voice input to a terminal equipped with a voice acquisition device. The voice acquisition device captures the voice through the microphone and records it as digital audio data. At this stage, the input is the user's voice, and the output is digital audio data. 【0548】 Step 2: 【0549】 The terminal transmits the digital audio data it has recorded to the server via the network. The terminal uses data communication technology to transfer the audio data to the server. Here, the input is the digital audio data, and the output is the audio data that has reached the server. 【0550】 Step 3: 【0551】 The server analyzes the received audio data using a speech recognition engine and converts it into text-based language data. The server analyzes the phonemes in the audio and generates corresponding words. The input to this process is audio data, and the output is text data. 【0552】 Step 4: 【0553】 The server further analyzes the generated text data to identify emotional characteristics. Using an emotion analysis engine, the server extracts emotional indicators from the text data. For example, it identifies "fatigue" from the sentence "I'm tired today." The input for this step is text data, and the output is emotional indicators. 【0554】 Step 5: 【0555】 The server generates personalized responses using a generative AI model based on sentiment indicators and text data. Based on the prompt, the system creates a response. Here, the input is sentiment indicators and text data, and the output is the personalized response. 【0556】 Step 6: 【0557】 The server sends the generated response to the terminal in a language format. The server uses data communication technology to transfer text data to the terminal. This includes the generated response. The input is the response, and the output is the response that reached the terminal. 【0558】 Step 7: 【0559】 The terminal converts received text data into speech information using a speech synthesis engine. The terminal then converts the text information into analog speech and prepares it for playback as natural-sounding audio. The input is text data, and the output is speech information. 【0560】 Step 8: 【0561】 The user receives a personalized response via audio through the device's speaker. The device uses the speaker to play the generated audio information to the user. The input is audio information, and the output is the auditory information received by the user. 【0562】 (Application Example 2) 【0563】 Next, we will explain application example 2. In the following explanation, 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." 【0564】 In recent years, robots and devices equipped with voice recognition technology have become widespread, but many of these fail to consider the user's emotions, resulting in one-way interactions. There is a need for technology that enables natural responses and actions that are sensitive to the user's feelings. This presents a challenge in providing a more friendly and effective user experience. 【0565】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0566】 In this invention, the server includes a voice acquisition device, a device for converting voice information obtained by the voice acquisition device into a linguistic expression, and a device for analyzing the linguistic expression and generating a response based on the user's psychological state. This enables personalized responses and actions that correspond to the user's emotions. 【0567】 A "voice acquisition device" is a device that acquires voice as an electronic signal and is used to capture voice from a user. 【0568】 A "device for converting into linguistic expression" is a device that analyzes acquired audio information and converts it into appropriate text. 【0569】 A "response generation device" is a device that generates a response to the user based on analyzed text and acquired external data. 【0570】 A "communication device" is a device used to transmit generated information and responses to a user's device. 【0571】 A "device that converts information into audio" is a device that synthesizes text-based information, converts it into audio, and presents it to the user. 【0572】 An "audio output device" is a device that allows the user to hear the converted audio information. 【0573】 This invention aims to realize a system that generates responses that take into account the user's emotions through voice input and provides them as voice. An embodiment thereof is shown below. 【0574】 First, the user inputs speech through a speech acquisition device. The speech acquisition device captures the user's speech information as an electronic signal and sends it to the server. The server receives this speech information and converts it into text data using a device that converts speech into linguistic representation. This conversion uses speech recognition technology such as the Google Cloud Speech-to-Text API. 【0575】 Next, the server analyzes the text data to understand the user's emotions and psychological state. A TensorFlow-based emotion analysis model is used for emotion analysis. Based on the analysis results, the server uses a response generation device and a generative AI model (e.g., OpenAI GPT model) to generate a response adapted to the user's emotions. 【0576】 The generated response is sent to the user's device via a communication device. The device converts the text data into speech via a speech conversion device and provides it to the user through a speech output device. Speech synthesis technologies such as Amazon Polly are used for speech synthesis. 【0577】 For example, if a user inputs "I'm tired today" into a voice acquisition device, the server converts this audio into text and recognizes the emotion "tiredness" using an emotion analysis model. The server then uses a generative AI model to generate a response such as "Thank you for your hard work. Please rest well," and sends it to the user's device. An example of a prompt might be, "Please write an example response for when the user says 'It's very hot today.'" 【0578】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0579】 Step 1: 【0580】 When a user speaks into the voice acquisition device, the voice input is captured. At this point, the input is the user's voice information, and the output is an electronic voice signal. The voice acquisition device transmits this signal to the server. 【0581】 Step 2: 【0582】 The server uses the Google Cloud Speech-to-Text API to receive electronic speech signals and convert them into text data. The input for this step is the acquired speech signal, and the output is the converted text data. During this conversion process, the content of the speech is analyzed and converted into text. 【0583】 Step 3: 【0584】 The server receives the converted text data and performs data analysis using a TensorFlow sentiment analysis model. This analysis identifies the user's emotions and psychological state. The input is the converted text data, and the output is information about the user's emotional state. This allows the server to determine what emotions are present. 【0585】 Step 4: 【0586】 The server uses OpenAI's GPT model to generate user-appropriate responses based on emotional state information. Inputs are the emotional state and original text data, while output is the generated response text. This process designs flexible reactions that respond to emotions. 【0587】 Step 5: 【0588】 The generated response text is transmitted to the terminal via the communication device. The input here is the response text data, and the output is the transmission of information to the terminal. The data is delivered to the user device promptly. 【0589】 Step 6: 【0590】 The device uses speech synthesis technology such as Amazon Polly to convert received text data into speech information. The input for this step is the text data of the response, and the output is the synthesized speech information. The user can then hear the response through the voice speaker. 【0591】 The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data. 【0592】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0593】 In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314. 【0594】 [Fourth Embodiment] 【0595】 Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment. 【0596】 As shown in Figure 7, the 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. 【0597】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0598】 The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52. 【0599】 The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46. 【0600】 Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision). 【0601】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner. 【0602】 The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive 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 robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes. 【0603】 Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56. 【0604】 The specific processing program 56 is an example of a "program" relating to the technology of this 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. 【0605】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0606】 In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0607】 Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0608】 The system of the present invention begins with the user accessing a voice input means via a device such as a smartphone. The user inputs questions or operation instructions by voice. This voice is recognized as voice data through the device's microphone. 【0609】 Next, the device sends this voice data to the server via the network. The server converts the received voice data into text data using speech recognition technology. After conversion to text data, the content is analyzed by a generative AI on the server. As a result of this analysis, the user's intent is identified, and appropriate information and operation instructions are generated based on that intent. 【0610】 The generated information is sent back to the terminal in text format. On the terminal, the received information is converted into audio information using speech synthesis technology and conveyed to the user through the speaker. This allows the user to receive an audio response. 【0611】 For example, if a user says, "Tell me the weather today," the server converts the speech into text, analyzes the content, and retrieves weather information from an external database. Then, specific information such as, "The forecast for today is sunny, and the temperature is 20 degrees Celsius," is generated and conveyed to the user as voice. 【0612】 For more advanced use, if a user instructs the system to "send an email," the system can automatically perform the action in response to the user's voice command. This allows the system to open the necessary applications based on the user's voice instructions and support the entire process from creating a new email to entering content and sending it. The user can receive voice guidance from the system as needed throughout this process. 【0613】 Thus, the present invention significantly improves the user experience, especially for elderly people who are unfamiliar with operating digital devices, by seamlessly providing users with information analyzed and generated by a server based on voice input. 【0614】 The following describes the processing flow. 【0615】 Step 1: 【0616】 The user activates the voice input function on their smartphone and inputs instructions or questions by voice. This voice input allows the system to understand the user's needs. 【0617】 Step 2: 【0618】 The device captures the user's voice using the microphone and temporarily stores it as digital audio data. The audio data is then prepared for the following processing. 【0619】 Step 3: 【0620】 The device captures audio data and sends it to the server over the network. This data transmission is encrypted to ensure data security. 【0621】 Step 4: 【0622】 The server converts the received audio data into text data using speech recognition technology. Specifically, the speech recognition engine analyzes the audio signal and generates a corresponding text string. 【0623】 Step 5: 【0624】 The server uses AI to analyze text data and understand the user's intent and requests. Based on the analysis results, it generates appropriate responses or instructions. 【0625】 Step 6: 【0626】 The server sends the generated response or instructions to the terminal in text format. The response data is sent quickly, preparing the device for the next step. 【0627】 Step 7: 【0628】 The terminal receives text data, which is then converted into speech information using a speech synthesis engine. The converted information is then prepared to be conveyed to the user. 【0629】 Step 8: 【0630】 The device transmits audio information to the user through its speaker. By listening to the audio response, the user can confirm the intended information or the result of their operation. 【0631】 For example, if a user says, "Tell me the weather," the user will ultimately receive the voice message, "Today's weather is sunny, and the temperature is 20 degrees Celsius." 【0632】 (Example 1) 【0633】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0634】 In today's world, operating increasingly multifunctional digital devices is often difficult for the elderly and tech-savvy users. Furthermore, existing voice interface systems have limitations in terms of natural conversational ability and the ability to retrieve diverse information, highlighting the need for improved user experience. Therefore, the challenge lies in providing systems that allow users to intuitively and effectively operate devices and obtain necessary information through voice commands. 【0635】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0636】 In this invention, the server includes a voice acquisition device for acquiring input information, means for converting voice codes acquired by the voice acquisition device into text information, and means for analyzing the text information and generating a response based on the user's purpose. This enables the user to intuitively operate a digital device using voice and obtain diverse and natural responses. 【0637】 A "voice acquisition device" is a device that captures a user's voice and processes it as a digital signal. 【0638】 "Speech codes" are information obtained by converting analog sound acquired by a speech acquisition device into a digital format. 【0639】 "Textual information" refers to digital data that is created by processing phonetic codes and representing the content of speech as text. 【0640】 "Analysis" is the process of processing textual information to understand the user's intent and requests, and to derive the necessary information. 【0641】 A "response" is a result that includes information or instructions generated based on the user's intent. 【0642】 A "communication device" is a device that provides a means for exchanging digital information with other devices or systems. 【0643】 An "audio signal" is data that has been converted from digital information into an electrical signal in order to reproduce it as sound. 【0644】 An "output mechanism" is a device that provides audio signals to the user as physical sound. 【0645】 The embodiment of this invention begins when a user accesses a voice input device using a terminal such as a smartphone or tablet. Through the microphone built into the terminal, the user inputs a voice command, which the voice acquisition device recognizes as a voice code. The voice code is temporarily stored within the terminal and transmitted to a server via the network. 【0646】 The server converts the received speech codes into text information using speech analysis techniques (e.g., common speech recognition APIs). This conversion requires advanced speech recognition software, and generative AI models are particularly useful here. This AI model analyzes the user's intent based on the text information and generates an appropriate response. 【0647】 Specifically, when a user prompts with "Tell me today's weather," the server queries an external information database service (for example, a general weather information API) to obtain weather information. Based on the information obtained, it then generates a response such as "Today it's sunny and the temperature is 20 degrees Celsius." 【0648】 The generated response is sent back to the terminal in text format. The terminal uses speech synthesis technology (for example, a commonly known speech synthesis API) to convert the received text information into an audio signal, which is then output to the user as speech through the speaker. The user obtains the necessary information by listening to this response. 【0649】 This system allows users to conveniently use digital devices using only their voice, without having to perform complex operations. It provides a superior user experience, especially for the elderly and those unfamiliar with digital devices, by simplifying operation and offering a natural interface. 【0650】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0651】 Step 1: 【0652】 The user uses the device's voice input function to input prompts such as "Tell me today's weather" by voice. The input is captured as speech code by the device's microphone and stored in internal memory. This is the input of voice data. The device then converts this voice data into a digital format and prepares to send it to the server. 【0653】 Step 2: 【0654】 The terminal transmits the acquired voice code to the server via the internet. The transmitted data is in digital format. The server receives this voice code and begins the process of converting it into text information using speech recognition software. This conversion process transforms the voice data into a text-based question. 【0655】 Step 3: 【0656】 The server provides textual information as input data for an AI model to analyze. The AI ​​model interprets the user's intent from the text and utilizes external information sources to obtain necessary data. For example, it may interact with an external weather information API to obtain the latest weather data. This process involves data processing and calculations to prepare accurate responses to user prompts. 【0657】 Step 4: 【0658】 The server generates a response that aligns with the user's intent based on the analysis and returns it in text format. This output is natural language text data, such as "Today it's sunny and the temperature is 20 degrees." The server then sends this to the terminal. 【0659】 Step 5: 【0660】 The terminal converts text data received from the server into an audio signal using its speech synthesis function. As a result of this conversion, synthesized audio data is generated and output to the user through the terminal's speaker. This allows the user to receive a voice response and obtain the necessary information. 【0661】 (Application Example 1) 【0662】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0663】 Current voice recognition systems do not always provide consistently fast and accurate responses to user-generated questions and instructions. Furthermore, they lack intuitive interfaces that enable elderly users and others unfamiliar with digital devices to effectively utilize them in their daily lives. Therefore, there is a need to develop systems that allow users to smoothly operate and obtain information using voice commands. 【0664】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0665】 In this invention, the server includes means for converting the user's audio data into text data in conjunction with a voice input unit, means for analyzing the user's intent from the text data and creating information, and means for outputting the created information as audio information. This makes it possible to quickly and accurately obtain information when a user asks everyday questions or makes reminders by voice, thereby improving convenience in daily life. 【0666】 A "voice input unit" is a device that receives audio data from the user and has the function of acquiring audio signals as digital data. 【0667】 "Audio data" refers to data obtained by converting sound into electrical signals, in a format that can be processed by a terminal. 【0668】 "Character data" refers to textual information generated by analyzing acoustic data, representing the content of the audio as a string of characters. 【0669】 "Means of analyzing user intent" refers to algorithms and processes that identify user requests and instructions based on text data and perform corresponding processing. 【0670】 "Means of creating information" refers to methods and devices for generating appropriate information and instructions based on the analyzed user intent. 【0671】 "Acoustic information" refers to information that is expressed again as an audio signal, such as text data or other text-based information, and is provided to the user as audio. 【0672】 To implement this invention, the user first uses a voice input unit to utter questions or instructions. The voice input unit has the ability to pick up the user's voice, digitize it as audio data, and transmit it to a server. The server then converts this audio data into text data. A commonly used voice recognition engine can be used, for example. 【0673】 The server uses a generative AI model to analyze text data and identify the user's intent. Once the user's intent is analyzed, appropriate information is generated based on it. To obtain this information, the server collects the necessary data from external databases and network resources. 【0674】 The generated information is converted back into acoustic information by the server and provided to the user as feedback in audio format. A speech synthesis engine is used for this purpose. In general software, the corresponding technology is often incorporated as the speech synthesis engine. 【0675】 For example, if a user gives a voice command saying, "I want to check my next appointment," the system will refer to a calendar app, generate voice information such as, "Your next appointment is next Wednesday at 10 AM," and respond again in voice. 【0676】 An example of a prompt is, "Please discuss an interface that allows elderly people to manage their daily schedules using voice input." This allows the generative AI model to create a response that includes content relevant to the user's intent. 【0677】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0678】 Step 1: 【0679】 The user inputs questions or instructions by voice into the voice input unit. This input is captured as acoustic data through the device's microphone. This acoustic data serves as the initial input data for the next processing step. 【0680】 Step 2: 【0681】 The terminal sends the acquired audio data to the server. The server receives the audio data and converts it into text data using a speech recognition engine. The server's process involves analyzing the audio waveform and converting it into text data. The output of this process is the speech-recognized text data. 【0682】 Step 3: 【0683】 The server inputs text data into an AI model that analyzes the user's intent. Based on the user's questions and instructions, the intent is clarified. As output of this analysis, the user receives specific information and instructions they are looking for. 【0684】 Step 4: 【0685】 Based on the analysis results, the server retrieves relevant information from external databases or resources. At this stage, it searches for information tailored to the user's intent, collecting and integrating the necessary data. The server then sends queries to the database, integrates the retrieved data, and generates information that corresponds to the user's intent. 【0686】 Step 5: 【0687】 The information generated by the server is converted into audio information by a speech synthesis engine. This conversion is the process of changing text-based information into audio signals. The output of this process is information that has been converted back into audio format. 【0688】 Step 6: 【0689】 The terminal receives audio information transmitted from the server and provides it to the user via its built-in speaker or a connected audio device. The user can listen to the spoken information and obtain the necessary information. 【0690】 This series of processes allows users to obtain information in real time via voice input and use that information to support their daily activities. 【0691】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0692】 This invention begins with the step of acquiring voice input, analyzing the voice data based on it, and converting it into text data. When a user makes a voice input using a smartphone or similar device, the voice is captured by the device's microphone and recorded as voice data. 【0693】 Next, this audio data is transmitted to a server via the network. The server converts the received audio data into text data using speech recognition technology. This text data is then analyzed by a generative AI and an emotion engine. The emotion engine identifies emotions from the user's voice characteristics and uses this to generate more personalized responses. For example, if the user is feeling dissatisfied, a response that takes that into consideration will be provided. 【0694】 The generated response information is sent to the terminal in text format. The terminal uses speech synthesis technology to convert this text information into voice information and prepares it for communication with the user. The user can then receive an emotionally nuanced voice response through the speaker. 【0695】 For example, if a user voice-inputs "I'm tired today," the emotion engine recognizes the emotion of "tiredness." The response generation mechanism then generates a supportive response to the user based on this emotion, such as "You must be tired. I hope you can get some rest," and this information is conveyed to the user via voice. 【0696】 Furthermore, when a user requests to operate an appliance by voice, if emotion recognition detects that the user is anxious, the system will quickly process the request while taking the user's emotions into consideration, responding in a gentle tone with phrases such as, "It's okay, I'll turn on the air conditioner right away." 【0697】 This invention enables the system to provide a more user-friendly experience by enabling responses and operations that take user emotions into consideration. 【0698】 The following describes the processing flow. 【0699】 Step 1: 【0700】 The user uses the device's voice input function to input questions or instructions by voice. The voice input is captured by the device's microphone and saved as digital audio data. 【0701】 Step 2: 【0702】 The device encrypts the recorded audio data and sends it to the server. Secure communication is established over the network, and the audio data reaches the server. 【0703】 Step 3: 【0704】 The server uses a speech recognition engine to convert the audio data into text data. The text extracted from the audio is a digital text string that represents the user's spoken content. 【0705】 Step 4: 【0706】 The server uses a generation AI and an emotion engine to analyze text data and identify the user's intent and emotions. The emotion engine analyzes features such as intonation and speed of speech to determine the user's emotional state. 【0707】 Step 5: 【0708】 The server generates responses that take into account the user's intent and emotions. For example, if the user is complaining of fatigue, the server will adjust its response to use gentler language. 【0709】 Step 6: 【0710】 The server sends the generated response information to the terminal in text format. The response data is processed to ensure it reaches the terminal quickly. 【0711】 Step 7: 【0712】 The text information received by the device is converted into speech information using a speech synthesis engine. The converted speech information is provided in a clear sound quality so that the user can understand it naturally. 【0713】 Step 8: 【0714】 The device transmits audio information to the user through its speaker. This allows the user to receive voice responses and confirm feedback from the system. 【0715】 For example, if a user says, "I'm feeling a little anxious, could you tell me what's scheduled for today?", the server will detect the user's anxiety and respond reassuringly with, "It's okay, you have one meeting this afternoon, but otherwise, you don't have any other appointments." 【0716】 (Example 2) 【0717】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0718】 Conventional speech recognition systems struggle to accurately understand users' emotions and intentions and provide appropriate responses based on them. Furthermore, generating personalized responses requires more advanced analytical techniques, necessitating improvements in this area. Moreover, systems need to go beyond simply executing commands in response to voice input and instead take user emotions into consideration. 【0719】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0720】 In this invention, the server includes means for converting voice information into linguistic information, means for analyzing the linguistic information and identifying the user's emotional characteristics, and means for generating a personalized response. This makes it possible to provide highly accurate personalized responses that reflect the user's emotions. 【0721】 A "voice acquisition device" is a device that captures the user's voice and records it as digital audio information. 【0722】 A "device that converts to linguistic information" is a device that analyzes audio information and converts it into linguistic information in text format. 【0723】 A "device for identifying emotional characteristics" is a device that has the ability to identify a user's emotions by analyzing converted linguistic information. 【0724】 A "device that generates personalized responses" is a device that generates responses appropriate to the user based on identified emotional characteristics. 【0725】 "Communication equipment" refers to network-enabled devices used to send and receive generated information and responses. 【0726】 An "output device" is a device that provides a response to the user in either audio or visual form. 【0727】 A "communication network" is a digital network system used to send and receive data and information between multiple locations. 【0728】 A "storage device" is an information storage device used to store external information and access it as needed. 【0729】 This invention relates to an interactive response system that uses voice input. Specifically, it provides a system for acquiring a user's voice, analyzing their emotions based on that voice, and generating and providing a personalized response. 【0730】 First, the user inputs voice into a device equipped with a voice acquisition device. This device uses its built-in microphone to capture the voice and record it as audio information. The audio information is then transmitted to a server via a network connection. 【0731】 The server uses speech recognition technology to convert speech information into text-based language information. This process uses speech recognition software, specifically a common speech recognition API. The converted language information is further analyzed to identify emotional features. The server uses an emotion analysis engine to identify emotions from the user's speech characteristics. For example, in response to the input "I'm tired today," the emotion "fatigue" is detected. 【0732】 A generative AI model generates a response associated with this emotion. For example, the generative AI might create a response like, "Thank you for your hard work. I hope you can get some rest." This linguistic response is then sent from the server to the terminal. 【0733】 The device converts text information into speech information using speech synthesis technology. A specific example of speech synthesis technology is a speech synthesis engine, which can generate natural-sounding speech responses. Finally, the user receives the response as speech through the device's speaker. 【0734】 For example, when a user voice-inputs "I'm tired today," the emotion engine identifies "fatigue." Based on this emotion, the generating AI creates the response "Thank you for your hard work. I hope you can get some rest." This result is sent to the user's device and output from the speaker as a synthesized voice response. 【0735】 An example of a prompt might be: "Identify the emotion from the user's voice and generate a corresponding response. Voice input: 'I'm tired today'." This allows the system to provide the user with a personalized and appropriate response. 【0736】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0737】 Step 1: 【0738】 The user provides voice input to a terminal equipped with a voice acquisition device. The voice acquisition device captures the voice through the microphone and records it as digital audio data. At this stage, the input is the user's voice, and the output is digital audio data. 【0739】 Step 2: 【0740】 The terminal transmits the digital audio data it has recorded to the server via the network. The terminal uses data communication technology to transfer the audio data to the server. Here, the input is the digital audio data, and the output is the audio data that has reached the server. 【0741】 Step 3: 【0742】 The server analyzes the received audio data using a speech recognition engine and converts it into text-based language data. The server analyzes the phonemes in the audio and generates corresponding words. The input to this process is audio data, and the output is text data. 【0743】 Step 4: 【0744】 The server further analyzes the generated text data to identify emotional characteristics. Using an emotion analysis engine, the server extracts emotional indicators from the text data. For example, it identifies "fatigue" from the sentence "I'm tired today." The input for this step is text data, and the output is emotional indicators. 【0745】 Step 5: 【0746】 The server generates personalized responses using a generative AI model based on sentiment indicators and text data. Based on the prompt, the system creates a response. Here, the input is sentiment indicators and text data, and the output is the personalized response. 【0747】 Step 6: 【0748】 The server sends the generated response to the terminal in a language format. The server uses data communication technology to transfer text data to the terminal. This includes the generated response. The input is the response, and the output is the response that reached the terminal. 【0749】 Step 7: 【0750】 The terminal converts received text data into speech information using a speech synthesis engine. The terminal then converts the text information into analog speech and prepares it for playback as natural-sounding audio. The input is text data, and the output is speech information. 【0751】 Step 8: 【0752】 The user receives a personalized response via audio through the device's speaker. The device uses the speaker to play the generated audio information to the user. The input is audio information, and the output is the auditory information received by the user. 【0753】 (Application Example 2) 【0754】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0755】 In recent years, robots and devices equipped with voice recognition technology have become widespread, but many of these fail to consider the user's emotions, resulting in one-way interactions. There is a need for technology that enables natural responses and actions that are sensitive to the user's feelings. This presents a challenge in providing a more friendly and effective user experience. 【0756】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0757】 In this invention, the server includes a voice acquisition device, a device for converting voice information obtained by the voice acquisition device into a linguistic expression, and a device for analyzing the linguistic expression and generating a response based on the user's psychological state. This enables personalized responses and actions that correspond to the user's emotions. 【0758】 A "voice acquisition device" is a device that acquires voice as an electronic signal and is used to capture voice from a user. 【0759】 A "device for converting into linguistic expression" is a device that analyzes acquired audio information and converts it into appropriate text. 【0760】 A "response generation device" is a device that generates a response to the user based on analyzed text and acquired external data. 【0761】 A "communication device" is a device used to transmit generated information and responses to a user's device. 【0762】 A "device that converts information into audio" is a device that synthesizes text-based information, converts it into audio, and presents it to the user. 【0763】 An "audio output device" is a device that allows the user to hear the converted audio information. 【0764】 This invention aims to realize a system that generates responses that take into account the user's emotions through voice input and provides them as voice. An embodiment thereof is shown below. 【0765】 First, the user inputs speech through a speech acquisition device. The speech acquisition device captures the user's speech information as an electronic signal and sends it to the server. The server receives this speech information and converts it into text data using a device that converts speech into linguistic representation. This conversion uses speech recognition technology such as the Google Cloud Speech-to-Text API. 【0766】 Next, the server analyzes the text data to understand the user's emotions and psychological state. A TensorFlow-based emotion analysis model is used for emotion analysis. Based on the analysis results, the server uses a response generation device and a generative AI model (e.g., OpenAI GPT model) to generate a response adapted to the user's emotions. 【0767】 The generated response is sent to the user's device via a communication device. The device converts the text data into speech via a speech conversion device and provides it to the user through a speech output device. Speech synthesis technologies such as Amazon Polly are used for speech synthesis. 【0768】 For example, if a user inputs "I'm tired today" into a voice acquisition device, the server converts this audio into text and recognizes the emotion "tiredness" using an emotion analysis model. The server then uses a generative AI model to generate a response such as "Thank you for your hard work. Please rest well," and sends it to the user's device. An example of a prompt might be, "Please write an example response for when the user says 'It's very hot today.'" 【0769】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0770】 Step 1: 【0771】 When a user speaks into the voice acquisition device, the voice input is captured. At this point, the input is the user's voice information, and the output is an electronic voice signal. The voice acquisition device transmits this signal to the server. 【0772】 Step 2: 【0773】 The server uses the Google Cloud Speech-to-Text API to receive electronic speech signals and convert them into text data. The input for this step is the acquired speech signal, and the output is the converted text data. During this conversion process, the content of the speech is analyzed and converted into text. 【0774】 Step 3: 【0775】 The server receives the converted text data and performs data analysis using a TensorFlow sentiment analysis model. This analysis identifies the user's emotions and psychological state. The input is the converted text data, and the output is information about the user's emotional state. This allows the server to determine what emotions are present. 【0776】 Step 4: 【0777】 The server uses OpenAI's GPT model to generate user-appropriate responses based on emotional state information. Inputs are the emotional state and original text data, while output is the generated response text. This process designs flexible reactions that respond to emotions. 【0778】 Step 5: 【0779】 The generated response text is transmitted to the terminal via the communication device. The input here is the response text data, and the output is the transmission of information to the terminal. The data is delivered to the user device promptly. 【0780】 Step 6: 【0781】 The device uses speech synthesis technology such as Amazon Polly to convert received text data into speech information. The input for this step is the text data of the response, and the output is the synthesized speech information. The user can then hear the response through the voice speaker. 【0782】 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 controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data. 【0783】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0784】 In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414. 【0785】 Furthermore, the emotion identification model 59, acting 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 a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion. 【0786】 Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together. 【0787】 These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression. 【0788】 The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become. 【0789】 Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant. 【0790】 The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is 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 the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more." 【0791】 The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values. 【0792】 The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format. 【0793】 In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data. 【0794】 In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56. 【0795】 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. 【0796】 Furthermore, it is not necessary to store the entirety 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 the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56. 【0797】 The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using this memory. 【0798】 The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of 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). Alternatively, the hardware resource that performs a specific process may consist of a single processor. 【0799】 Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources. 【0800】 Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose. 【0801】 The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above. 【0802】 All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference. 【0803】 The following is further disclosed regarding the embodiments described above. 【0804】 (Claim 1) 【0805】 Voice input method, 【0806】 Means for converting audio data acquired by the aforementioned audio input means into text data, 【0807】 A means for analyzing the aforementioned text data and generating information based on the user's intent, 【0808】 Means for transmitting the generated information in text format to a communication device, 【0809】 means for converting the transmitted text information into audio information, 【0810】 Means for providing the aforementioned audio information to the user via an output device, 【0811】 A system that includes this. 【0812】 (Claim 2) 【0813】 The system according to claim 1, wherein the voice input means has a function to remotely operate the device in response to a user's voice command. 【0814】 (Claim 3) 【0815】 The system according to claim 1, wherein the information generation means has a function to obtain external information from a database via a network and create a response that includes information related to the user's intent. 【0816】 "Example 1" 【0817】 (Claim 1) 【0818】 A voice acquisition device for obtaining input information, 【0819】 Means for converting speech codes acquired by the speech acquisition device into character information, 【0820】 Means for analyzing the aforementioned textual information and generating a response based on the user's purpose, 【0821】 Means for transmitting the generated response in character format to a communication device, 【0822】 means for converting the transmitted character information into an audio signal, 【0823】 Means for providing the aforementioned audio signal to the user through an output mechanism, 【0824】 A system that includes this. 【0825】 (Claim 2) 【0826】 The system according to claim 1, wherein the voice acquisition device has the capability to remotely manage the device in accordance with the user's voice instructions. 【0827】 (Claim 3) 【0828】 The system according to claim 1, wherein the response generation means has the function of retrieving external knowledge from a data repository via an information network and forming a response that includes knowledge relevant to the user's purpose. 【0829】 "Application Example 1" 【0830】 (Claim 1) 【0831】 Voice input unit and 【0832】 A configuration that converts the audio data acquired by the aforementioned audio input unit into text data, 【0833】 The system analyzes the aforementioned text data and creates information based on the user's intent, 【0834】 A configuration that transmits the generated information in character format to a communication device, 【0835】 A configuration that converts the transmitted text information into acoustic information, 【0836】 A configuration in which the aforementioned acoustic information is provided to the user via an output device, 【0837】 The system is designed to respond to users' everyday questions and reminders via voice commands, 【0838】 A system that includes this. 【0839】 (Claim 2) 【0840】 The system according to claim 1, wherein the voice input unit has the capability to remotely operate the device in response to voice instructions from the user. 【0841】 (Claim 3) 【0842】 The system according to claim 1, wherein the information creation configuration has the function of obtaining external information from a database via a network and creating a response that includes information related to the user's intent. 【0843】 "Example 2 of combining an emotion engine" 【0844】 (Claim 1) 【0845】 A voice acquisition device, 【0846】 A device that converts speech information obtained by the speech acquisition device into language information, 【0847】 A device that analyzes the aforementioned linguistic information, identifies the user's emotional characteristics, and generates a personalized response, 【0848】 A device that transmits the generated response in language format to a communication device, 【0849】 A device that converts the transmitted language information into audio information, 【0850】 A device that provides the aforementioned audio information to the user via an output device, 【0851】 A system that includes this. 【0852】 (Claim 2) 【0853】 The system according to claim 1, wherein the voice acquisition device has a function to remotely operate the equipment in response to the user's voice instructions. 【0854】 (Claim 3) 【0855】 The system according to claim 1, wherein the response generation device has a function to acquire external information from a storage device via a communication network and to create a response that includes information related to the user's emotional characteristics. 【0856】 "Application example 2 when combining with an emotional engine" 【0857】 (Claim 1) 【0858】 A voice acquisition device, 【0859】 A device for converting speech information obtained from the speech acquisition device into a linguistic expression, 【0860】 A device that analyzes the aforementioned linguistic expression and generates a response based on the user's psychological state, 【0861】 A device that transmits the generated response in language format to a communication device, 【0862】 A device that converts the transmitted language information into audio information, 【0863】 A device that outputs the aforementioned audio information to the user via an audio output device, 【0864】 A system that includes this. 【0865】 (Claim 2) 【0866】 The system according to claim 1, wherein the voice acquisition device has a function to automatically perform the operation of the device based on the user's voice command. 【0867】 (Claim 3) 【0868】 The system according to claim 1, wherein the response generation device has a function to acquire knowledge from an external database via an information network and to create a response that includes information related to the user's psychological state. [Explanation of Symbols] 【0869】 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

[Claim 1] Voice input method, Means for converting audio data acquired by the aforementioned audio input means into text data, A means for analyzing the aforementioned text data and generating information based on the user's intent, Means for transmitting the generated information in text format to a communication device, means for converting the transmitted text information into audio information, Means for providing the aforementioned audio information to the user via an output device, A system that includes this. [Claim 2] The system according to claim 1, wherein the voice input means has a function to remotely operate the device in response to a user's voice command. [Claim 3] The system according to claim 1, wherein the information generation means has a function to obtain external information from a database via a network and create a response that includes information related to the user's intent.

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