system

Abstract

We provide the system. [Solution] A means by which users input text information via a digital device, Means for sending the aforementioned text information to a server, The server comprises means for analyzing the text information and generating audio data, The server provides means for outputting audio to a third party via a communication network using the audio data, A means for converting the audio during the aforementioned communication into text in real time and providing it to the digital terminal, A means by which a user inputs additional text information via the digital terminal, and the server converts that text information back into audio data and transmits it to the third party, A system that includes this.

Description

Technical Field

[0001] The technology of this disclosure relates to a system.

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot 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

Summary of the Invention

Problems to be Solved by the Invention

[0004] Conventionally, people with difficulties in oral conversation have often been greatly restricted in communication via telephone. Especially when there are no alternative means relying on impaired hearing or language ability, it has been extremely difficult to transmit necessary information by phone. Due to this problem, situations have occurred where important communications such as reservations at medical institutions and emergency notifications are hindered. The purpose of this invention is to overcome such communication obstacles and provide a new approach for smoothly transmitting information via telephone.

Means for Solving the Problems

[0005] This invention provides a means for a user to input text information using a digital terminal and transmit that text information to a server. The server has the function of analyzing the received text information and generating corresponding audio data. This audio data is transmitted to a third party via a communication network and conveyed as audio output. Furthermore, the audio during the call is transcribed in real time and displayed on the digital terminal for user confirmation. If the user inputs additional answers or information, that information is also converted into audio data and transmitted to the third party again. This overcomes the obstacles of conventional telephone communication and enables the transmission of necessary information.

[0006] A "user" refers to someone who inputs information via a digital device and communicates with others via telephone.

[0007] "Digital devices" refer to devices that process and display information electronically, such as computers, smartphones, and tablets.

[0008] "Text information" refers to the string data that a user enters into their device, which forms the basis for speech synthesis.

[0009] A "server" refers to a computer system that receives, processes, and transmits information over a network.

[0010] "Audio data" refers to digital audio files created using speech synthesis technology based on text information.

[0011] A "communication network" refers to the network infrastructure that enables the transmission and reception of data.

[0012] "Audio output" refers to the speaking or playback of audio data generated by the server for transmission to a third party.

[0013] "Transcription" refers to the technology that converts audio information into text in real time.

[0014] A "third party" refers to any other person or organization with whom the user wishes to communicate. [Brief explanation of the drawing]

[0015] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This 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] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This 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] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This 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] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14]It is a sequence diagram showing the processing flow of a data processing system in Application Example 2 when a sentiment engine is combined.

Embodiments for Carrying Out the Invention

[0016] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0017] First, the terms used in the following description will be explained.

[0018] In the following embodiments, a numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0019] In the following embodiments, a numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0020] In the following embodiments, a numbered 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 disks (e.g., hard disks), or magnetic tapes, etc.

[0021] 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).

[0022] 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."

[0023] [First Embodiment]

[0024] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0025] 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.

[0026] 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).

[0027] 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.

[0028] 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.

[0029] 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.

[0030] 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.

[0031] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0032] As shown in Figure 2, in the data processing device 12, a 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.

[0033] 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.

[0034] 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.

[0035] 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".

[0036] The present invention provides a system for users with specific disabilities to communicate smoothly by telephone. In this embodiment, the user first opens an application using a digital terminal. The application provides an interface for the user to input the content they want to convey by telephone in text format. Through this interface, the user can input, for example, details of an appointment to a medical institution, such as "I would like to request an appointment with the dermatologist tomorrow at 10 a.m.."

[0037] The terminal sends this text data to a server via the internet. The receiving server analyzes the text information using a natural language processing engine and generates corresponding audio data using a speech synthesis engine. This audio data is then transmitted to a designated third party via a communication network, such as a telephone network. On the other end, the generated audio is played directly over the phone, and the conversation begins.

[0038] The server further recognizes the audio during the call in real time, converts it to text, and sends the converted data back to the digital device. Through this, the user can check the progress of the call and enter appropriate answers to any new questions that arise. If necessary, the server generates new audio based on the user's input and relays the answers to the other party again.

[0039] For example, if an unexpected question is asked at the hospital, such as "Do you have your health insurance card?", the user can type "Yes, I do" into the terminal. The server can then convert this into speech and similarly transmit it to a third party, such as the hospital staff.

[0040] In this way, through this series of processes, the system can provide users with appropriate and smooth telephone communication without relying on voice. Users can receive real-time feedback and convey necessary information, significantly overcoming conventional limitations.

[0041] The following describes the processing flow.

[0042] Step 1:

[0043] The user launches the app on their digital device and enters the text information they want to convey over the phone. The app provides an interface that allows users to easily enter information according to their purpose. For example, they might enter a sentence like, "Please make an appointment with the dermatologist tomorrow at 10 AM."

[0044] Step 2:

[0045] The terminal sends the entered text information to the server via the internet. This transmission is encrypted, ensuring security during transmission.

[0046] Step 3:

[0047] The server processes the received text information and analyzes its content using a natural language processing engine. Through this analysis, key information is extracted from the text and structured into data.

[0048] Step 4:

[0049] The server uses a speech synthesis engine based on the analyzed information to generate corresponding audio data. This audio data is then prepared for transmission to a third party via the telephone network.

[0050] Step 5:

[0051] The server uses voice data to initiate a call to a specified phone number using VoIP (Voice Over Internet Protocol) technology. During this process, voice data is generated and transmitted to a third party in real time as audio output.

[0052] Step 6:

[0053] The server converts the audio of the conversation during the call into text in real time. The converted text is sent to the digital device, and the user can view the content in real time through the app.

[0054] Step 7:

[0055] Users can view responses and questions from third parties within the app and enter additional information or answers as needed in text. The app provides helpful features, such as suggesting answers and allowing users to select from them as needed.

[0056] Step 8:

[0057] The device resends additional text information to the server. It is encrypted again and sent securely.

[0058] Step 9:

[0059] The server generates newly received text information as audio data and outputs it again in real time to the third party involved in the call.

[0060] Step 10:

[0061] The server securely stores all data, along with a record of the call content, in a database. This stored data can be used later for review and verification if needed.

[0062] (Example 1)

[0063] 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."

[0064] Traditional communication methods have presented challenges, such as making it difficult for users with certain disabilities to communicate smoothly via voice. Furthermore, they have been criticized for their inefficiency in acquiring real-time voice information and providing immediate responses. There was also a need to improve usability by generating natural-sounding voices based on user input and by creating pre-defined templates.

[0065] 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.

[0066] In this invention, the server includes means for the user to input text information via an information device, means for transmitting the text information to a central processing unit, means for the central processing unit to analyze the text information and generate a voice signal, means for synthesizing natural speech based on the input text information using a generation AI model, and means for pre-constructing speech content using prompt sentences. This makes it possible for users with certain disabilities to engage in smooth and efficient telephone communication without relying on voice.

[0067] "User" refers to a user with a specific disability who uses this system.

[0068] "Information equipment" refers to electronic devices used by users to input and send / receive text information.

[0069] "Textual information" refers to data in text format that users input via information devices.

[0070] A "central processing unit" refers to a computer or server that analyzes text information, generates audio signals, and processes them.

[0071] "Audio signal" refers to audio data generated based on analyzed textual information.

[0072] "Communication use" refers to communication methods and networks used to transmit voice signals to others.

[0073] "Generative AI models" refer to artificial intelligence technologies used to synthesize natural-sounding speech.

[0074] A "prompt" refers to pre-written text used to provide ideas when generating an audio signal.

[0075] A "standard phrase" refers to a sentence that has been prepared in advance based on commonly used expressions.

[0076] This invention is a system for providing smooth communication to users who have difficulty communicating through voice information. In this embodiment of the system, the user inputs information in text format using an information device and sends it to the server. As the information device, an electronic device such as a smartphone, tablet, or personal computer can be used.

[0077] The server utilizes generative AI models such as natural language processing and speech synthesis to analyze the received text information. The analyzed text information is converted into an audio signal and transmitted to a third party via communication. This process includes speech recognition and speech synthesis engines, using technologies such as Google® Speech-to-Text API or equivalent technologies.

[0078] As a concrete example, when a user makes an appointment at a medical institution, they input text such as "I would like to request an appointment with the dermatologist tomorrow at 10 AM" through their information device. This text data is sent to a server, where it is converted into an audio signal and transmitted to the medical institution. As a result, the user can complete the appointment without needing to communicate by voice.

[0079] By using a generative AI model, it is possible to generate natural-sounding speech based on text information entered by the user. An example of a prompt is: "I would like to make an appointment at a medical institution, so please convert this text to speech. Input: 'I would like to request an appointment with the dermatologist tomorrow at 10 AM.'" This allows for the efficient use of pre-prepared templates, providing a user-friendly interface.

[0080] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0081] Step 1:

[0082] The user starts up their information device and opens the application. They enter a specific message as text information, such as "Please make a dermatology appointment for 10 AM tomorrow." This input data is stored as text information within the device.

[0083] Step 2:

[0084] The terminal sends the text information entered by the user to the server via the internet. Using protocols such as HTTP, the text data is sent to the server's receiving endpoint. The server securely receives this text information and prepares it for analysis.

[0085] Step 3:

[0086] The server passes the received text information to the natural language processing engine. Here, language analysis is performed based on the input text data, and the appropriate syntax and meaning are extracted. After analysis, this syntactic information is converted into data for generating a speech signal.

[0087] Step 4:

[0088] The server uses a generative AI model to generate natural-sounding speech signals from the analyzed data. Specifically, the generative AI model sends prompts to the speech synthesis engine, which then generates speech waveforms. These prompts contain sentences that reflect the user's intent. The generated speech signals are then prepared for subsequent communication.

[0089] Step 5:

[0090] The server transmits the generated voice signal to a third party via a communication network. Here, the voice signal is transmitted using a telephone network. The voice signal is output as physical sound through the third party's receiver, conveying the user's intentions.

[0091] Step 6:

[0092] The server receives the voice of a third party during a call in real time and converts it to text using a speech recognition engine. Voice data is input, and output is obtained by converting it into text information through language recognition.

[0093] Step 7:

[0094] The terminal receives the converted text information from the server and displays it to the user. Based on this information, the user can enter further text information if necessary and prepare a response. For example, they might type, "Yes, I have it."

[0095] Step 8:

[0096] The server converts the user's new input back into an audio signal and transmits the response to a third party through the existing call using the same procedure. By repeating this process, continuous and smooth communication can be maintained.

[0097] (Application Example 1)

[0098] 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."

[0099] The problem this invention aims to solve is the difficulty in conveying appropriate information in emergencies due to the inability of users with certain disabilities to easily engage in voice communication. In particular, this problem is solved by providing a means for users to quickly and accurately cooperate with security agencies and response agencies in emergencies.

[0100] 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.

[0101] In this invention, the server includes means for a user to input information via an information processing device, means for transmitting the input information to a communication device, and means for making emergency contact immediately. This makes it possible for a user with a disability to quickly and accurately transmit necessary information in an emergency without relying on voice.

[0102] An "information processing device" is an electronic device equipped with the function of allowing users to input, send, and receive information.

[0103] "Input information" refers to text data or messages that a user inputs to send to a communication device via an information processing device.

[0104] A "communication device" is a digital platform equipped with the function of receiving input information and transmitting it to a recipient as an audio signal.

[0105] An "audio signal" is digital data obtained by converting text data into an audio format, and its purpose is to enable dialogue with the recipient.

[0106] "Communication path" refers to the entire network and infrastructure used to transmit voice signals to recipients, enabling the sending and receiving of data.

[0107] "Recipient" refers to a third party or organization that receives audio signals from a user.

[0108] "Document conversion" is the process of converting received audio into text data, allowing users to visually confirm the content.

[0109] "Standard phrases" are pre-generated options of text that users can use to quickly provide answers or information.

[0110] "Emergency communication" refers to a means of communication used to quickly transmit necessary information to security agencies and response agencies in times of emergency.

[0111] A "security agency" refers to an organization responsible for maintaining public safety and, when necessary, dealing with crime and emergencies.

[0112] A "response agency" is an organization or service established to respond to emergencies, and it is responsible for immediately responding to emergency contacts from users.

[0113] To implement this invention, a system integrating an information processing device, a communication device, and speech synthesis and speech recognition technologies is primarily used. The information processing device is a device that allows users to easily input information, such as a smartphone or a personal computer. The communication device utilizes a cloud-based server and includes a natural language processing engine and a speech synthesis engine. Specifically, services such as Google Cloud's Natural Language API, Amazon Polly speech synthesis engine, and Google Speech-to-Text are effective.

[0114] The user inputs emergency contact information as text via an information processing device. This input information is sent to a server, which is a communication device. The server analyzes the input information, converts it into an audio signal, and transmits it to the recipient via the communication path. The audio signal is listened to in real time by the recipient at the security agency or response agency.

[0115] Furthermore, the audio transmitted during communication is instantly converted into text and returned to the user's information processing device, allowing the user to visually confirm the content of the conversation. This process enables users with disabilities to convey necessary information immediately and accurately.

[0116] A concrete example is when a user spots a suspicious figure at night and inputs "I saw a suspicious person, please come immediately" into the information processing system. The server analyzes this and immediately transmits it as an audio signal to the security company. Based on the received information, the security company can quickly take appropriate action.

[0117] Examples of prompts include, "Think of a way for users with disabilities to contact someone quickly in an emergency," or "Design a security application for users who have difficulty communicating by voice."

[0118] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0119] Step 1:

[0120] The user inputs emergency contact information as text using an information processing device. The entered text information is first formatted within the information processing device and prepared as data that can be sent to a communication device. At this stage, local feedback is displayed to the user to confirm what the input information is.

[0121] Step 2:

[0122] The terminal transmits text information entered by the user to a server, which is a communication device. The server first receives this input data and passes it to a natural language processing engine for analysis. As a result of the analysis, the text information undergoes sentence analysis and intent estimation, and is then prepared to be converted into a speech signal.

[0123] Step 3:

[0124] The server sends the parsed text information to the speech synthesis engine to generate an audio signal. During this process, prompts are used to specify the tone and sound quality of the speech. The generated audio signal is then formatted again as data to be sent to the recipient.

[0125] Step 4:

[0126] The server generates an audio signal and transmits it to the recipient via the communication path. The audio signal is configured to be transmitted immediately to the recipient at the security or response agency. This audio data is then played back as a message under specific conditions pre-registered by the recipient.

[0127] Step 5:

[0128] The communication device receives the recipient's voice response in real time and converts it into text using a speech recognition engine. The converted text is formatted on the server and immediately sent to the user's information processing device.

[0129] Step 6:

[0130] The terminal displays the received text information to the user. By referring to this, the user can visually confirm the recipient's response and, if necessary, enter additional text information to continue sending.

[0131] 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.

[0132] This invention combines a text-based telephone communication system with an emotion engine. In addition to the process of a user inputting text information using a digital terminal, which is then received by a server and output as voice, this system also enables emotional analysis of the input text.

[0133] The user inputs the content they wish to discuss as text through an application on their digital device. The device then securely transmits this text information to the server. The server first analyzes the received text information using an emotion engine to evaluate the user's emotional state. This evaluation identifies emotions such as positive, negative, or neutral based on the expressions and phrases in the text. Based on these results, the server then adjusts the speech data and responses generated by the speech synthesis engine used in the conversation.

[0134] For example, if a user enters urgent text such as "I'll be in trouble if I can't get a hospital appointment," the server analyzes the emotional state as "negative" and "anxious." Based on this emotional analysis, the server selects a script to respond to the other party quickly and specifically, and outputs the generated audio to a third party.

[0135] Furthermore, the server offers options and suggestions that take the user's emotions into account in response to new questions or requests for additional information during a call. For example, if the emotion engine detects the user's stress, the server can present the user with pre-prepared, gentle tones and polite, standardized explanations.

[0136] In this way, this system makes telephone conversations smoother and more effective by providing communication that takes user emotions into consideration. This technology plays an important role in improving the user experience and reducing stressors in communication.

[0137] The following describes the processing flow.

[0138] Step 1:

[0139] The user launches the app on their digital device and enters the information they want to convey over the phone in text format. At this stage, the user can freely enter text that reflects their emotions and situation.

[0140] Step 2:

[0141] The terminal sends the entered text information to the server. A secure protocol is used for this transmission to ensure the safety of the information.

[0142] Step 3:

[0143] The server passes the received text information to the emotion engine, which analyzes its content. The emotion engine extracts emotional nuances from the text and identifies emotional states such as positive, negative, or neutral.

[0144] Step 4:

[0145] The server generates an appropriate communication script based on the analysis results of the emotion engine. This is to determine how to proceed with the conversation according to the user's emotional state.

[0146] Step 5:

[0147] The server uses a speech synthesis engine to generate audio data based on the generated script. This audio data includes a tone and style that takes into account the user's emotional state.

[0148] Step 6:

[0149] The server uses voice data to make calls to third parties over the communication network. The voice data is played back in real time, ensuring smooth information transmission.

[0150] Step 7:

[0151] The server converts the audio received from the other party during a call into text in real time and sends the analysis results back to the digital device. The user then reviews the call content in text and decides on their next move.

[0152] Step 8:

[0153] When the user enters additional information or a response, the device displays pre-defined phrases suggested by the sentiment engine. The user uses these as a reference to enter the additional information.

[0154] Step 9:

[0155] The terminal sends the newly entered text to the server. The server then analyzes the text again using an emotion engine, generates audio data as needed, and transmits it to a third party.

[0156] Step 10:

[0157] The server securely logs all call content and response data, including sentiment analysis results, for later reference. This data is used to address user inquiries and for further analysis.

[0158] (Example 2)

[0159] 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".

[0160] Traditional telephone communication systems have faced challenges in providing responses and voice output that take user emotions into consideration, resulting in a lack of improved user experience. Furthermore, there was the problem of users being unable to easily input additional information during voice calls and effectively communicate it.

[0161] 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.

[0162] In this invention, the server includes means for analyzing text information and identifying emotions, means for adjusting audio data based on the results of emotion identification, and means for securely storing communication content and its transcript data. This enables flexible communication based on the user's emotions.

[0163] "Information equipment" refers to electronic devices used by users to input text information, and includes smartphones and computers.

[0164] "Textual information" refers to linguistic data that users input via information devices.

[0165] An "information processing device" is a computing device that analyzes received text information and performs appropriate processing; servers are an example of such devices.

[0166] "Audio data" refers to audio or audio-related data generated by an information processing device, which is output to another device via a communication network.

[0167] "Means of identifying emotions" refers to functions and technologies that analyze input text information to identify the user's emotional state.

[0168] "Means of producing audio output" refers to a mechanism for sending generated audio data as actual sound to another device.

[0169] A "transmission network" refers to a network structure that connects information processing equipment with other devices to enable data communication.

[0170] "Transcript data" refers to data obtained by converting audio output into text information.

[0171] The embodiments for carrying out the present invention are shown below.

[0172] The process begins with the user inputting the conversation content in text format using an information device, such as a smartphone or computer. The text information entered by the user is provided to the information device using a keyboard or voice input function.

[0173] Next, the terminal receives this text information and sends it via the internet to an information processing device, i.e., a server. The server utilizes natural language processing technologies such as an "emotion analysis API" to perform sentiment analysis and identify the user's emotions from the text information. This analysis plays a role in identifying emotional states such as positive, negative, and neutral.

[0174] Based on the results of the emotion identification, the server uses a "speech synthesis engine," such as a "general speech synthesis service," to generate audio data. During this process, the tone and speed of the voice are adjusted according to the emotional state.

[0175] For example, if a user enters text indicating urgency, such as "I won't make it to the afternoon meeting," the server will analyze that emotion as "negative" and "urgent." Based on this result, the server will synthesize a gentle voice message urging a quicker response than usual and output it to another device.

[0176] Examples of prompts include "Analyze the sentiment of the input text and generate an appropriate voice response," and the server operates according to these prompts.

[0177] This system allows users to receive emotionally sensitive communication, resulting in smoother and more effective conversations. This technology enhances the user experience and reduces stress in communication.

[0178] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0179] Step 1:

[0180] The user inputs text information using an information device. Specifically, the user uses a keyboard or voice input function to input communication content in text format. The input text information becomes the output of this step.

[0181] Step 2:

[0182] The terminal receives the entered character information and transmits it to the information processing device. Specifically, the terminal sends the character information to the server using a secure communication protocol (e.g., HTTPS). This character information is treated as input to the server.

[0183] Step 3:

[0184] The server analyzes the received text information using a sentiment analysis engine. Specifically, it uses a "sentiment analysis API" to classify the user's emotional state as positive, negative, neutral, etc. The emotional data obtained from this analysis becomes the input for the next step.

[0185] Step 4:

[0186] The server uses a speech synthesis engine to generate audio data based on the results of sentiment analysis. Specifically, the server sets a tone that matches the emotional state and generates audio data using a "general speech synthesis service." This generated audio data becomes the output.

[0187] Step 5:

[0188] The server generates audio data and transmits it to another device for audio output. Specifically, the audio data is sent to the destination terminal via a transmission network (e.g., the internet) and played back as audio by the recipient. This enables the communication intended by the user.

[0189] (Application Example 2)

[0190] 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".

[0191] Traditional telephone communication systems have been unable to accurately recognize and respond to emotional states, making it difficult to optimize the user experience. Furthermore, text-based communication often fails to convey emotional nuances, and particularly in customer service, there is a need to provide prompt responses while minimizing user stress.

[0192] 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.

[0193] In this invention, the server includes means for a user to input text information via a digital device, means for interpreting the text information based on the user's emotional state and generating audio data, and means for using the generated audio data to output audio to others. This enables nuanced responses and communication that are tailored to the user's emotions.

[0194] A "digital device" is an electronic device used by users to input and display text information, and includes smartphones and tablets.

[0195] A "processing unit" is a general term for servers and computer systems that analyze received text information, evaluate emotional states, and generate audio data.

[0196] "Emotional state" refers to the user's psychological state as analyzed from text information, and is classified into categories such as positive, negative, and neutral.

[0197] "Audio data" refers to digital data used to represent generated audio, which is then used to output audio to others.

[0198] "Communication infrastructure" refers to the basic infrastructure for transmitting information, including voice data, over a network, and includes the internet and telephone networks.

[0199] "Speech synthesis" is a technology that converts text information into speech, and includes a process of generating different tones and content according to the aforementioned emotional state.

[0200] The system that realizes this invention begins with the user inputting text information using a digital device. This digital device could be a smartphone or tablet, which accepts text input via a user interface. This input is sent to a server, which acts as a processing unit, for analysis of the emotional state. The server utilizes natural language processing libraries such as "TextBlob" and "Hugging Face Transformers" to evaluate the emotional state of the input text information.

[0201] Based on the analysis results, the server uses the Google Text-to-Speech API to generate audio data appropriate to the emotional state. The generated audio data is then provided to others as audio output via the communication infrastructure. In this process, appropriate tone and speed are used to generate the audio in order to accurately convey the nuances of emotion during speech synthesis.

[0202] For example, if a user enters "I'd like to know more about this product, but I have some concerns," the server will analyze this emotional state of "concern." It can then generate and provide a voice message in a tone that alleviates the user's concerns, such as, "This product is of high quality, and many users are satisfied with it, so please rest assured."

[0203] Example of a generated AI model input prompt:

[0204] "Generate a calming response for when a customer asks for product details. Their emotion is anxiety."

[0205] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0206] Step 1:

[0207] The user inputs text information using a digital device. The user enters communication content in text format via an interface such as a smartphone or tablet. This text information serves as the initial input for processing.

[0208] Step 2:

[0209] The terminal sends the input text information to the server, which acts as a processing unit. The terminal encrypts the text information using a security protocol and transfers it to the server via the communication network. The output here is encrypted text data.

[0210] Step 3:

[0211] The server analyzes the received text information and evaluates the emotional state. The server uses "TextBlob" and "Hugging Face Transformers" to extract emotional states (e.g., positive, negative, anxious, etc.) from the text information. This is a natural language processing technique, and the analysis results are output as emotional state labels.

[0212] Step 4:

[0213] The server generates audio data based on the emotional state. Using the Google Text-to-Speech API, it synthesizes speech with a tone and speaking speed appropriate to the emotion. The input to this process is the detected emotional state, and the output is the generated audio data.

[0214] Step 5:

[0215] The server transmits the generated audio data to others via the communication infrastructure. The server converts the audio data into a format suitable for the communication method used by the recipient and transmits it over the network. The output of this step is the audio data itself.

[0216] Step 6:

[0217] The user checks the audio output on a digital device and enters additional text information as needed. While reviewing the audio content, the user enters new questions or requests again in text format and sends them back to the server. This ensures continued communication.

[0218] 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.

[0219] 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.

[0220] 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.

[0221] [Second Embodiment]

[0222] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0223] 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.

[0224] 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).

[0225] 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.

[0226] 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.

[0227] 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).

[0228] 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.

[0229] 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.

[0230] 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.

[0231] 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.

[0232] 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.

[0233] 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".

[0234] The present invention provides a system for users with specific disabilities to communicate smoothly by telephone. In this embodiment, the user first opens an application using a digital terminal. The application provides an interface for the user to input the content they want to convey by telephone in text format. Through this interface, the user can input, for example, details of an appointment to a medical institution, such as "I would like to request an appointment with the dermatologist tomorrow at 10 a.m.."

[0235] The terminal sends this text data to a server via the internet. The receiving server analyzes the text information using a natural language processing engine and generates corresponding audio data using a speech synthesis engine. This audio data is then transmitted to a designated third party via a communication network, such as a telephone network. On the other end, the generated audio is played directly over the phone, and the conversation begins.

[0236] The server further recognizes the audio during the call in real time, converts it to text, and sends the converted data back to the digital device. Through this, the user can check the progress of the call and enter appropriate answers to any new questions that arise. If necessary, the server generates new audio based on the user's input and relays the answers to the other party again.

[0237] For example, if an unexpected question is asked at the hospital, such as "Do you have your health insurance card?", the user can type "Yes, I do" into the terminal. The server can then convert this into speech and similarly transmit it to a third party, such as the hospital staff.

[0238] In this way, through this series of processes, the system can provide users with appropriate and smooth telephone communication without relying on voice. Users can receive real-time feedback and convey necessary information, significantly overcoming conventional limitations.

[0239] The following describes the processing flow.

[0240] Step 1:

[0241] The user launches the app on their digital device and enters the text information they want to convey over the phone. The app provides an interface that allows users to easily enter information according to their purpose. For example, they might enter a sentence like, "Please make an appointment with the dermatologist tomorrow at 10 AM."

[0242] Step 2:

[0243] The terminal sends the entered text information to the server via the internet. This transmission is encrypted, ensuring security during transmission.

[0244] Step 3:

[0245] The server processes the received text information and analyzes its content using a natural language processing engine. Through this analysis, key information is extracted from the text and structured into data.

[0246] Step 4:

[0247] The server uses a speech synthesis engine based on the analyzed information to generate corresponding audio data. This audio data is then prepared for transmission to a third party via the telephone network.

[0248] Step 5:

[0249] The server uses voice data to initiate a call to a specified phone number using VoIP (Voice Over Internet Protocol) technology. During this process, voice data is generated and transmitted to a third party in real time as audio output.

[0250] Step 6:

[0251] The server converts the audio of the conversation during the call into text in real time. The converted text is sent to the digital device, and the user can view the content in real time through the app.

[0252] Step 7:

[0253] Users can view responses and questions from third parties within the app and enter additional information or answers as needed in text. The app provides helpful features, such as suggestion boxes for answers, allowing users to select the appropriate response.

[0254] Step 8:

[0255] The device resends additional text information to the server. It is encrypted again and sent securely.

[0256] Step 9:

[0257] The server generates newly received text information as audio data and outputs it again in real time to the third party involved in the call.

[0258] Step 10:

[0259] The server securely stores all data, along with a record of the call content, in a database. This stored data can be used later for review and verification if needed.

[0260] (Example 1)

[0261] 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."

[0262] Traditional communication methods have presented challenges, such as making it difficult for users with certain disabilities to communicate smoothly via voice. Furthermore, they have been criticized for their inefficiency in acquiring real-time voice information and providing immediate responses. There was also a need to improve usability by generating natural-sounding voices based on user input and by creating pre-defined templates.

[0263] 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.

[0264] In this invention, the server includes means for the user to input text information via an information device, means for transmitting the text information to a central processing unit, means for the central processing unit to analyze the text information and generate a voice signal, means for synthesizing natural speech based on the input text information using a generation AI model, and means for pre-constructing speech content using prompt sentences. This makes it possible for users with certain disabilities to engage in smooth and efficient telephone communication without relying on voice.

[0265] "User" refers to a user with a specific disability who uses this system.

[0266] "Information equipment" refers to electronic devices used by users to input and send / receive text information.

[0267] "Textual information" refers to data in text format that users input via information devices.

[0268] A "central processing unit" refers to a computer or server that analyzes text information, generates audio signals, and processes them.

[0269] "Audio signal" refers to audio data generated based on analyzed textual information.

[0270] "Communication use" refers to communication methods and networks used to transmit voice signals to others.

[0271] "Generative AI models" refer to artificial intelligence technologies used to synthesize natural-sounding speech.

[0272] A "prompt" refers to pre-written text used to provide ideas when generating an audio signal.

[0273] A "standard phrase" refers to a sentence that has been prepared in advance based on commonly used expressions.

[0274] This invention is a system for providing smooth communication to users who have difficulty communicating through voice information. In this embodiment of the system, the user inputs information in text format using an information device and sends it to the server. As the information device, an electronic device such as a smartphone, tablet, or personal computer can be used.

[0275] The server utilizes generative AI models such as natural language processing and speech synthesis to analyze the received text information. The analyzed text information is converted into an audio signal and transmitted to a third party via communication. This process includes speech recognition and speech synthesis engines, using technologies such as the Google Speech-to-Text API or equivalent technologies.

[0276] As a concrete example, when a user makes an appointment at a medical institution, they input text such as "I would like to request an appointment with the dermatologist tomorrow at 10 AM" through their information device. This text data is sent to a server, where it is converted into an audio signal and transmitted to the medical institution. As a result, the user can complete the appointment without needing to communicate by voice.

[0277] By using a generative AI model, it is possible to generate natural-sounding speech based on text information entered by the user. An example of a prompt is: "I would like to make an appointment at a medical institution, so please convert this text to speech. Input: 'I would like to request an appointment with the dermatologist tomorrow at 10 AM.'" This allows for the efficient use of pre-prepared templates, providing a user-friendly interface.

[0278] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0279] Step 1:

[0280] The user activates the information device and opens the application. As the text information to be input, a specific message such as "Please make a reservation at the dermatology department at 10:00 am tomorrow" is input. This input data is retained in the terminal as character information as it is.

[0281] Step 2:

[0282] The terminal transmits the text information input by the user to the server via the Internet. Using a protocol such as HTTP, the text data is sent to the receiving endpoint of the server. The server securely receives this character information and prepares for analysis.

[0283] Step 3:

[0284] The server passes the received character information to the natural language processing engine. Here, language analysis is performed based on the input text data to extract the appropriate syntax and meaning. After analysis, it is converted into data for generating an audio signal based on this syntax information.

[0285] Step 4:

[0286] The server uses the generative AI model to generate a natural audio signal from the analyzed data. Specifically, the generative AI model sends a prompt to the speech synthesis engine to generate an audio waveform. This prompt contains a sentence reflecting the content intended by the user. The generated audio signal is prepared for subsequent communication.

[0287] Step 5:

[0288] The server transmits the generated audio signal to a third party through a communication channel. Here, the audio signal is transferred using the telephone network. The audio signal is output from the receiver of the third party as physical sound, and the intention of the user is conveyed.

[0289] Step 6:

[0290] The server receives the voice of a third party during a call in real time and converts it to text using a speech recognition engine. Voice data is input, and output is obtained by converting it into text information through language recognition.

[0291] Step 7:

[0292] The terminal receives the converted text information from the server and displays it to the user. Based on this information, the user can enter further text information if necessary and prepare a response. For example, they might type, "Yes, I have it."

[0293] Step 8:

[0294] The server converts the user's new input back into an audio signal and transmits the response to a third party through the existing call using the same procedure. By repeating this process, continuous and smooth communication can be maintained.

[0295] (Application Example 1)

[0296] 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."

[0297] The problem this invention aims to solve is the difficulty in conveying appropriate information in emergencies due to the inability of users with certain disabilities to easily engage in voice communication. In particular, this problem is solved by providing a means for users to quickly and accurately cooperate with security agencies and response agencies in emergencies.

[0298] 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.

[0299] In this invention, the server includes means for a user to input input information via an information processing device, means for transmitting the input information to a communication device, and means for immediately making an emergency contact. This enables a user with a disability to quickly and accurately transmit the necessary information in an emergency without relying on voice.

[0300] The "information processing device" is an electronic device equipped with functions that allow a user to input input information and perform transmission and reception.

[0301] The "input information" is text data or a message input by a user for transmission to a communication device through an information processing device.

[0302] The "communication device" is a digital platform equipped with functions for receiving input information and transmitting it to a recipient as a voice signal.

[0303] The "voice signal" is digital data obtained by converting text data into a voice format and is used to enable interaction with a recipient.

[0304] The "communication path" refers to the entire network and infrastructure for transmitting a voice signal to a recipient and enables data transmission and reception.

[0305] The "recipient" refers to a third party or organization that receives a voice signal from a user.

[0306] "Document conversion" is a process of converting received voice into character data to enable a user to visually confirm the content.

[0307] "Standard text" refers to pre-generated language options that can be used by a user to quickly provide answers or information.

[0308] "Emergency contact" is a communication means for quickly transmitting necessary information in an emergency to security or response agencies.

[0309] A "security agency" refers to an organization responsible for maintaining public safety and, when necessary, dealing with crime and emergencies.

[0310] A "response agency" is an organization or service established to respond to emergencies, and it is responsible for immediately responding to emergency contacts from users.

[0311] To implement this invention, a system integrating an information processing device, a communication device, and speech synthesis and speech recognition technologies is primarily used. The information processing device is a device that allows users to easily input information, such as a smartphone or a personal computer. The communication device utilizes a cloud-based server and includes a natural language processing engine and a speech synthesis engine. Specifically, services such as Google Cloud's Natural Language API, Amazon Polly speech synthesis engine, and Google Speech-to-Text are effective.

[0312] The user inputs emergency contact information as text via an information processing device. This input information is sent to a server, which is a communication device. The server analyzes the input information, converts it into an audio signal, and transmits it to the recipient via the communication path. The audio signal is listened to in real time by the recipient at the security agency or response agency.

[0313] Furthermore, the audio transmitted during communication is instantly converted into text and returned to the user's information processing device, allowing the user to visually confirm the content of the conversation. This process enables users with disabilities to convey necessary information immediately and accurately.

[0314] A concrete example is when a user spots a suspicious figure at night and inputs "I saw a suspicious person, please come immediately" into the information processing system. The server analyzes this and immediately transmits it as an audio signal to the security company. Based on the received information, the security company can quickly take appropriate action.

[0315] Examples of prompts include, "Think of a way for users with disabilities to contact someone quickly in an emergency," or "Design a security application for users who have difficulty communicating by voice."

[0316] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0317] Step 1:

[0318] The user inputs emergency contact information as text using an information processing device. The entered text information is first formatted within the information processing device and prepared as data that can be sent to a communication device. At this stage, local feedback is displayed to the user to confirm what the input information is.

[0319] Step 2:

[0320] The terminal transmits text information entered by the user to a server, which is a communication device. The server first receives this input data and passes it to a natural language processing engine for analysis. As a result of the analysis, the text information undergoes sentence analysis and intent estimation, and is then prepared to be converted into a speech signal.

[0321] Step 3:

[0322] The server sends the parsed text information to the speech synthesis engine to generate an audio signal. During this process, prompts are used to specify the tone and sound quality of the speech. The generated audio signal is then formatted again as data to be sent to the recipient.

[0323] Step 4:

[0324] The server generates an audio signal and transmits it to the recipient via the communication path. The audio signal is configured to be transmitted immediately to the recipient at the security or response agency. This audio data is then played back as a message under specific conditions pre-registered by the recipient.

[0325] Step 5:

[0326] The communication device receives the recipient's voice response in real time and converts it into text using a speech recognition engine. The converted text is formatted on the server and immediately sent to the user's information processing device.

[0327] Step 6:

[0328] The terminal displays the received text information to the user. By referring to this, the user can visually confirm the recipient's response and, if necessary, enter additional text information to continue sending.

[0329] 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.

[0330] This invention combines a text-based telephone communication system with an emotion engine. In addition to the process of a user inputting text information using a digital terminal, which is then received by a server and output as audio, this system also enables emotional analysis of the input text.

[0331] The user inputs the content they wish to discuss as text through an application on their digital device. The device then securely transmits this text information to the server. The server first analyzes the received text information using an emotion engine to evaluate the user's emotional state. This evaluation identifies emotions such as positive, negative, or neutral based on the expressions and phrases in the text. Based on these results, the server then adjusts the speech data and responses generated by the speech synthesis engine used in the conversation.

[0332] For example, if a user enters urgent text such as "I'll be in trouble if I can't get a hospital appointment," the server analyzes the emotional state as "negative" and "anxious." Based on this emotional analysis, the server selects a script to respond to the other party quickly and specifically, and outputs the generated audio to a third party.

[0333] Furthermore, the server offers options and suggestions that take the user's emotions into account in response to new questions or requests for additional information during a call. For example, if the emotion engine detects the user's stress, the server can present the user with pre-prepared, gentle tones and polite, standardized explanations.

[0334] In this way, this system makes telephone conversations smoother and more effective by providing communication that takes user emotions into consideration. This technology plays an important role in improving the user experience and reducing stressors in communication.

[0335] The following describes the processing flow.

[0336] Step 1:

[0337] The user launches the app on their digital device and enters the information they want to convey over the phone in text format. At this stage, the user can freely enter text that reflects their emotions and situation.

[0338] Step 2:

[0339] The terminal sends the entered text information to the server. A secure protocol is used for this transmission to ensure the safety of the information.

[0340] Step 3:

[0341] The server passes the received text information to the emotion engine, which analyzes its content. The emotion engine extracts emotional nuances from the text and identifies emotional states such as positive, negative, or neutral.

[0342] Step 4:

[0343] The server generates an appropriate communication script based on the analysis results of the emotion engine. This is to determine how to proceed with the conversation according to the user's emotional state.

[0344] Step 5:

[0345] The server uses a speech synthesis engine to generate audio data based on the generated script. This audio data includes a tone and style that takes into account the user's emotional state.

[0346] Step 6:

[0347] The server uses voice data to make calls to third parties over the communication network. The voice data is played back in real time, ensuring smooth information transmission.

[0348] Step 7:

[0349] The server converts the audio received from the other party during a call into text in real time and sends the analysis results back to the digital device. The user then reviews the call content in text and decides on their next move.

[0350] Step 8:

[0351] When the user enters additional information or a response, the device displays pre-defined phrases suggested by the emotion engine. The user uses these as a reference to enter the additional information.

[0352] Step 9:

[0353] The terminal sends the newly entered text to the server. The server then analyzes the text again using an emotion engine, generates audio data as needed, and transmits it to a third party.

[0354] Step 10:

[0355] The server securely logs all call content and response data, including sentiment analysis results, for later reference. This data is used to address user inquiries and for further analysis.

[0356] (Example 2)

[0357] 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".

[0358] Traditional telephone communication systems have faced challenges in improving the user experience because they struggle to provide responses and voice output that take user emotions into consideration. Furthermore, there was a problem with users not being able to easily input additional information during voice calls and effectively communicate it.

[0359] 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.

[0360] In this invention, the server includes means for analyzing text information and identifying emotions, means for adjusting audio data based on the results of emotion identification, and means for securely storing communication content and its transcript data. This enables flexible communication based on the user's emotions.

[0361] "Information equipment" refers to electronic devices used by users to input text information, and includes smartphones and computers.

[0362] "Textual information" refers to linguistic data that users input via information devices.

[0363] An "information processing device" is a computing device that analyzes received text information and performs appropriate processing; servers are an example of such devices.

[0364] "Audio data" refers to audio or audio-related data generated by an information processing device, which is output to another device via a communication network.

[0365] "Means of identifying emotions" refers to functions and technologies that analyze input text information to identify the user's emotional state.

[0366] "Means of producing audio output" refers to a mechanism for sending generated audio data as actual sound to another device.

[0367] A "transmission network" refers to a network structure that connects information processing equipment with other devices to enable data communication.

[0368] "Transcript data" refers to data obtained by converting audio output into text information.

[0369] The embodiments for carrying out the present invention are shown below.

[0370] The process begins with the user inputting the conversation content in text format using an information device, such as a smartphone or computer. The text information entered by the user is provided to the information device using a keyboard or voice input function.

[0371] Next, the terminal receives this text information and sends it via the internet to an information processing device, i.e., a server. The server utilizes natural language processing technologies such as an "emotion analysis API" to perform sentiment analysis and identify the user's emotions from the text information. This analysis plays a role in identifying emotional states such as positive, negative, and neutral.

[0372] Based on the results of the emotion identification, the server uses a "speech synthesis engine," such as a "general speech synthesis service," to generate audio data. During this process, the tone and speed of the voice are adjusted according to the emotional state.

[0373] For example, if a user enters text indicating urgency, such as "I won't make it to the afternoon meeting," the server will analyze that emotion as "negative" and "urgent." Based on this result, the server will synthesize a gentle voice message urging a quicker response than usual and output it to another device.

[0374] Examples of prompts include "Analyze the sentiment of the input text and generate an appropriate voice response," and the server operates according to these prompts.

[0375] This system allows users to receive emotionally sensitive communication, resulting in smoother and more effective conversations. This technology enhances the user experience and reduces stress in communication.

[0376] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0377] Step 1:

[0378] The user inputs text information using an information device. Specifically, the user uses a keyboard or voice input function to input communication content in text format. The input text information becomes the output of this step.

[0379] Step 2:

[0380] The terminal receives the entered character information and transmits it to the information processing device. Specifically, the terminal sends the character information to the server using a secure communication protocol (e.g., HTTPS). This character information is treated as input to the server.

[0381] Step 3:

[0382] The server analyzes the received text information using a sentiment analysis engine. Specifically, it uses a "sentiment analysis API" to classify the user's emotional state as positive, negative, neutral, etc. The emotional data obtained from this analysis becomes the input for the next step.

[0383] Step 4:

[0384] The server uses a speech synthesis engine to generate audio data based on the results of sentiment analysis. Specifically, the server sets a tone appropriate to the emotional state and generates audio data using a "general speech synthesis service." This generated audio data becomes the output.

[0385] Step 5:

[0386] The server generates audio data, which is then transmitted to another device for audio output. Specifically, the audio data is sent to the destination terminal via a transmission network (e.g., the internet) and played back as audio by the recipient. This enables the user to communicate as intended.

[0387] (Application Example 2)

[0388] 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 will be referred to as the "terminal."

[0389] Traditional telephone communication systems have been unable to accurately recognize and respond to emotional states, making it difficult to optimize the user experience. Furthermore, text-based communication often fails to convey emotional nuances, and particularly in customer service, there is a need to provide prompt responses while minimizing user stress.

[0390] 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.

[0391] In this invention, the server includes means for a user to input text information via a digital device, means for interpreting the text information based on the user's emotional state and generating audio data, and means for using the generated audio data to output audio to others. This enables nuanced responses and communication that are tailored to the user's emotions.

[0392] A "digital device" is an electronic device used by users to input and display text information, and includes smartphones and tablets.

[0393] A "processing unit" is a general term for servers and computer systems that analyze received text information, evaluate emotional states, and generate audio data.

[0394] "Emotional state" refers to the user's psychological state as analyzed from text information, and is classified into categories such as positive, negative, and neutral.

[0395] "Audio data" refers to digital data used to represent generated audio, which is then used to output audio to others.

[0396] "Communication infrastructure" refers to the basic infrastructure for transmitting information, including voice data, over a network, and includes the internet and telephone networks.

[0397] "Speech synthesis" is a technology that converts text information into speech, and includes a process of generating different tones and content according to the aforementioned emotional state.

[0398] The system that realizes this invention begins with the user inputting text information using a digital device. This digital device could be a smartphone or tablet, which accepts text input via a user interface. This input is sent to a server, which acts as a processing unit, for analysis of the emotional state. The server utilizes natural language processing libraries such as "TextBlob" and "Hugging Face Transformers" to evaluate the emotional state of the input text information.

[0399] Based on the analysis results, the server uses the Google Text-to-Speech API to generate audio data appropriate to the emotional state. The generated audio data is then provided to others as audio output via the communication infrastructure. In this process, appropriate tone and speed are used to generate the audio in order to accurately convey the nuances of emotion during speech synthesis.

[0400] For example, if a user enters "I'd like to know more about this product, but I have some concerns," the server will analyze this emotional state of "concern." It can then generate and provide a voice message in a tone that alleviates the user's concerns, such as, "This product is of high quality, and many users are satisfied with it, so please rest assured."

[0401] Example of a generative AI model input prompt:

[0402] "Generate a calming response for when a customer asks for product details. Their emotion is anxiety."

[0403] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0404] Step 1:

[0405] The user inputs text information using a digital device. The user enters communication content in text format via an interface such as a smartphone or tablet. This text information serves as the initial input for processing.

[0406] Step 2:

[0407] The terminal sends the input text information to the server, which acts as a processing unit. The terminal encrypts the text information using a security protocol and transfers it to the server via the communication network. The output here is encrypted text data.

[0408] Step 3:

[0409] The server analyzes the received text information and evaluates the emotional state. The server uses "TextBlob" and "Hugging Face Transformers" to extract emotional states (e.g., positive, negative, anxious, etc.) from the text information. This is a natural language processing technique, and the analysis results are output as emotional state labels.

[0410] Step 4:

[0411] The server generates audio data based on the emotional state. Using the Google Text-to-Speech API, it synthesizes speech with a tone and speaking speed appropriate to the emotion. The input to this process is the detected emotional state, and the output is the generated audio data.

[0412] Step 5:

[0413] The server transmits the generated audio data to others via the communication infrastructure. The server converts the audio data into a format suitable for the communication method used by the recipient and transmits it over the network. The output of this step is the audio data itself.

[0414] Step 6:

[0415] The user checks the audio output on a digital device and enters additional text information as needed. While reviewing the audio content, the user enters new questions or requests again in text format and sends them back to the server. This ensures continued communication.

[0416] 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.

[0417] 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.

[0418] 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.

[0419] [Third Embodiment]

[0420] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0421] 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.

[0422] 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).

[0423] 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.

[0424] 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.

[0425] 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).

[0426] 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.

[0427] 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.

[0428] 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.

[0429] 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.

[0430] 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.

[0431] 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".

[0432] The present invention provides a system for users with specific disabilities to communicate smoothly by telephone. In this embodiment, the user first opens an application using a digital terminal. The application provides an interface for the user to input the content they want to convey by telephone in text format. Through this interface, the user can input, for example, details of an appointment to a medical institution, such as "I would like to request an appointment with the dermatologist tomorrow at 10 a.m.."

[0433] The terminal sends this text data to a server via the internet. The receiving server analyzes the text information using a natural language processing engine and generates corresponding audio data using a speech synthesis engine. This audio data is then transmitted to a designated third party via a communication network, such as a telephone network. On the other end, the generated audio is played directly over the phone, and the conversation begins.

[0434] The server further recognizes the audio during the call in real time, converts it to text, and sends the converted data back to the digital device. Through this, the user can check the progress of the call and enter appropriate answers to any new questions that arise. If necessary, the server generates new audio based on the user's input and relays the answers to the other party again.

[0435] For example, if an unexpected question is asked at the hospital, such as "Do you have your health insurance card?", the user can type "Yes, I do" into the terminal. The server can then convert this into speech and similarly transmit it to a third party, such as the hospital staff.

[0436] In this way, through this series of processes, the system can provide users with appropriate and smooth telephone communication without relying on voice. Users can receive real-time feedback and convey necessary information, significantly overcoming conventional limitations.

[0437] The following describes the processing flow.

[0438] Step 1:

[0439] The user launches the app on their digital device and enters the text information they want to convey over the phone. The app provides an interface that allows users to easily enter information according to their purpose. For example, they might enter a sentence like, "Please make an appointment with the dermatologist tomorrow at 10 AM."

[0440] Step 2:

[0441] The terminal sends the entered text information to the server via the internet. This transmission is encrypted, ensuring security during transmission.

[0442] Step 3:

[0443] The server processes the received text information and analyzes its content using a natural language processing engine. Through this analysis, key information is extracted from the text and structured into data.

[0444] Step 4:

[0445] The server uses a speech synthesis engine based on the analyzed information to generate corresponding audio data. This audio data is then prepared for transmission to a third party via the telephone network.

[0446] Step 5:

[0447] The server uses voice data to initiate a call to a specified phone number using VoIP (Voice Over Internet Protocol) technology. During this process, voice data is generated and transmitted to a third party in real time as audio output.

[0448] Step 6:

[0449] The server converts the audio of the conversation during the call into text in real time. The converted text is sent to the digital device, and the user can view the content in real time through the app.

[0450] Step 7:

[0451] Users can view responses and questions from third parties within the app and enter additional information or answers as needed in text. The app provides helpful features, such as suggestion boxes for answers, allowing users to select the appropriate response.

[0452] Step 8:

[0453] The device resends additional text information to the server. It is encrypted again and sent securely.

[0454] Step 9:

[0455] The server generates newly received text information as audio data and outputs it again in real time to the third party involved in the call.

[0456] Step 10:

[0457] The server securely stores all data, along with a record of the call content, in a database. This stored data can be used later for review and verification if needed.

[0458] (Example 1)

[0459] 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."

[0460] Traditional communication methods have presented challenges, such as making it difficult for users with certain disabilities to communicate smoothly via voice. Furthermore, they have been criticized for their inefficiency in acquiring real-time voice information and providing immediate responses. There was also a need to improve usability by generating natural-sounding voices based on user input and by creating pre-defined templates.

[0461] 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.

[0462] In this invention, the server includes means for the user to input text information via an information device, means for transmitting the text information to a central processing unit, means for the central processing unit to analyze the text information and generate a voice signal, means for synthesizing natural speech based on the input text information using a generation AI model, and means for pre-constructing speech content using prompt sentences. This makes it possible for users with certain disabilities to engage in smooth and efficient telephone communication without relying on voice.

[0463] "User" refers to a user with a specific disability who uses this system.

[0464] "Information equipment" refers to electronic devices used by users to input and send / receive text information.

[0465] "Textual information" refers to data in text format that users input via information devices.

[0466] A "central processing unit" refers to a computer or server that analyzes text information, generates audio signals, and processes them.

[0467] "Audio signal" refers to audio data generated based on analyzed textual information.

[0468] "Communication use" refers to communication methods and networks used to transmit voice signals to others.

[0469] "Generative AI models" refer to artificial intelligence technologies used to synthesize natural-sounding speech.

[0470] A "prompt" refers to pre-written text used to provide ideas when generating an audio signal.

[0471] A "standard phrase" refers to a sentence that has been prepared in advance based on commonly used expressions.

[0472] This invention is a system for providing smooth communication to users who have difficulty communicating through voice information. In this embodiment of the system, the user inputs information in text format using an information device and sends it to the server. As the information device, an electronic device such as a smartphone, tablet, or personal computer can be used.

[0473] The server utilizes generative AI models such as natural language processing and speech synthesis to analyze the received text information. The analyzed text information is converted into an audio signal and transmitted to a third party via communication. This process includes speech recognition and speech synthesis engines, using technologies such as the Google Speech-to-Text API or equivalent technologies.

[0474] As a concrete example, when a user makes an appointment at a medical institution, they input text such as "I would like to request an appointment with the dermatologist tomorrow at 10 AM" through their information device. This text data is sent to a server, where it is converted into an audio signal and transmitted to the medical institution. As a result, the user can complete the appointment without needing to communicate by voice.

[0475] By using a generative AI model, it is possible to generate natural-sounding speech based on text information entered by the user. An example of a prompt is: "I would like to make an appointment at a medical institution, so please convert this text to speech. Input: 'I would like to request an appointment with the dermatologist tomorrow at 10 AM.'" This allows for the efficient use of pre-prepared templates, providing a user-friendly interface.

[0476] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0477] Step 1:

[0478] The user starts up their information device and opens the application. They enter a specific message as text information, such as "Please make a dermatology appointment for 10 AM tomorrow." This input data is stored as text information within the device.

[0479] Step 2:

[0480] The terminal sends the text information entered by the user to the server via the internet. Using protocols such as HTTP, the text data is sent to the server's receiving endpoint. The server securely receives this text information and prepares it for analysis.

[0481] Step 3:

[0482] The server passes the received text information to the natural language processing engine. Here, language analysis is performed based on the input text data, and the appropriate syntax and meaning are extracted. After analysis, this syntactic information is converted into data for generating a speech signal.

[0483] Step 4:

[0484] The server uses a generative AI model to generate natural-sounding speech signals from the analyzed data. Specifically, the generative AI model sends prompts to the speech synthesis engine, which then generates speech waveforms. These prompts contain sentences that reflect the user's intent. The generated speech signals are then prepared for subsequent communication.

[0485] Step 5:

[0486] The server transmits the generated voice signal to a third party via a communication network. Here, the voice signal is transmitted using a telephone network. The voice signal is output as physical sound through the third party's receiver, conveying the user's intentions.

[0487] Step 6:

[0488] The server receives the voice of a third party during a call in real time and converts it to text using a speech recognition engine. Voice data is input, and output is obtained by converting it into text information through language recognition.

[0489] Step 7:

[0490] The terminal receives the converted text information from the server and displays it to the user. Based on this information, the user can enter further text information if necessary and prepare a response. For example, they might type, "Yes, I have it."

[0491] Step 8:

[0492] The server converts the user's new input back into an audio signal and transmits the response to a third party through the existing call using the same procedure. By repeating this process, continuous and smooth communication can be maintained.

[0493] (Application Example 1)

[0494] 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."

[0495] The problem this invention aims to solve is the difficulty in conveying appropriate information in emergencies due to the inability of users with certain disabilities to easily engage in voice communication. In particular, this problem is solved by providing a means for users to quickly and accurately cooperate with security agencies and response agencies in emergencies.

[0496] 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.

[0497] In this invention, the server includes means for a user to input information via an information processing device, means for transmitting the input information to a communication device, and means for making emergency contact immediately. This makes it possible for a user with a disability to quickly and accurately transmit necessary information in an emergency without relying on voice.

[0498] An "information processing device" is an electronic device equipped with the function of allowing users to input, send, and receive information.

[0499] "Input information" refers to text data or messages that a user inputs to send to a communication device via an information processing device.

[0500] A "communication device" is a digital platform equipped with the function of receiving input information and transmitting it to a recipient as an audio signal.

[0501] An "audio signal" is digital data obtained by converting text data into an audio format, and its purpose is to enable dialogue with the recipient.

[0502] "Communication path" refers to the entire network and infrastructure used to transmit voice signals to recipients, enabling the sending and receiving of data.

[0503] "Recipient" refers to a third party or organization that receives audio signals from a user.

[0504] "Document conversion" is the process of converting received audio into text data, allowing users to visually confirm the content.

[0505] "Standard phrases" are pre-generated options of text that users can use to quickly provide answers or information.

[0506] "Emergency communication" refers to a means of communication used to quickly transmit necessary information to security agencies and response agencies in times of emergency.

[0507] A "security agency" refers to an organization responsible for maintaining public safety and, when necessary, dealing with crime and emergencies.

[0508] A "response agency" is an organization or service established to respond to emergencies, and it is responsible for immediately responding to emergency contacts from users.

[0509] To implement this invention, a system integrating an information processing device, a communication device, and speech synthesis and speech recognition technologies is primarily used. The information processing device is a device that allows users to easily input information, such as a smartphone or a personal computer. The communication device utilizes a cloud-based server and includes a natural language processing engine and a speech synthesis engine. Specifically, services such as Google Cloud's Natural Language API, Amazon Polly speech synthesis engine, and Google Speech-to-Text are effective.

[0510] The user inputs emergency contact information as text via an information processing device. This input information is sent to a server, which is a communication device. The server analyzes the input information, converts it into an audio signal, and transmits it to the recipient via the communication path. The audio signal is listened to in real time by the recipient at the security agency or response agency.

[0511] Furthermore, the audio transmitted during communication is instantly converted into text and returned to the user's information processing device, allowing the user to visually confirm the content of the conversation. This process enables users with disabilities to convey necessary information immediately and accurately.

[0512] A concrete example is when a user spots a suspicious figure at night and inputs "I saw a suspicious person, please come immediately" into the information processing system. The server analyzes this and immediately transmits it as an audio signal to the security company. Based on the received information, the security company can quickly take appropriate action.

[0513] Examples of prompts include, "Think of a way for users with disabilities to contact someone quickly in an emergency," or "Design a security application for users who have difficulty communicating by voice."

[0514] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0515] Step 1:

[0516] The user inputs emergency contact information as text using an information processing device. The entered text information is first formatted within the information processing device and prepared as data that can be sent to a communication device. At this stage, local feedback is displayed to the user to confirm what the input information is.

[0517] Step 2:

[0518] The terminal transmits text information entered by the user to a server, which is a communication device. The server first receives this input data and passes it to a natural language processing engine for analysis. As a result of the analysis, the text information undergoes sentence analysis and intent estimation, and is then prepared to be converted into a speech signal.

[0519] Step 3:

[0520] The server sends the parsed text information to the speech synthesis engine to generate an audio signal. During this process, prompts are used to specify the tone and sound quality of the speech. The generated audio signal is then formatted again as data to be sent to the recipient.

[0521] Step 4:

[0522] The server generates an audio signal and transmits it to the recipient via the communication path. The audio signal is configured to be transmitted immediately to the recipient at the security or response agency. This audio data is then played back as a message under specific conditions pre-registered by the recipient.

[0523] Step 5:

[0524] The communication device receives the recipient's voice response in real time and converts it into text using a speech recognition engine. The converted text is formatted on the server and immediately sent to the user's information processing device.

[0525] Step 6:

[0526] The terminal displays the received text information to the user. By referring to this, the user can visually confirm the recipient's response and, if necessary, enter additional text information to continue sending.

[0527] 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.

[0528] This invention combines a text-based telephone communication system with an emotion engine. In addition to the process of a user inputting text information using a digital terminal, which is then received by a server and output as audio, this system also enables emotional analysis of the input text.

[0529] The user inputs the content they wish to discuss as text through an application on their digital device. The device then securely transmits this text information to the server. The server first analyzes the received text information using an emotion engine to evaluate the user's emotional state. This evaluation identifies emotions such as positive, negative, or neutral based on the expressions and phrases in the text. Based on these results, the server then adjusts the speech data and responses generated by the speech synthesis engine used in the conversation.

[0530] For example, if a user enters urgent text such as "I'll be in trouble if I can't get a hospital appointment," the server analyzes the emotional state as "negative" and "anxious." Based on this emotional analysis, the server selects a script to respond to the other party quickly and specifically, and outputs the generated audio to a third party.

[0531] Furthermore, the server offers options and suggestions that take the user's emotions into account in response to new questions or requests for additional information during a call. For example, if the emotion engine detects the user's stress, the server can present the user with pre-prepared, gentle tones and polite, standardized explanations.

[0532] In this way, this system makes telephone conversations smoother and more effective by providing communication that takes user emotions into consideration. This technology plays an important role in improving the user experience and reducing stressors in communication.

[0533] The following describes the processing flow.

[0534] Step 1:

[0535] The user launches the app on their digital device and enters the information they want to convey over the phone in text format. At this stage, the user can freely enter text that reflects their emotions and situation.

[0536] Step 2:

[0537] The terminal sends the entered text information to the server. A secure protocol is used for this transmission to ensure the safety of the information.

[0538] Step 3:

[0539] The server passes the received text information to the emotion engine, which analyzes its content. The emotion engine extracts emotional nuances from the text and identifies emotional states such as positive, negative, or neutral.

[0540] Step 4:

[0541] The server generates an appropriate communication script based on the analysis results of the emotion engine. This is to determine how to proceed with the conversation according to the user's emotional state.

[0542] Step 5:

[0543] The server uses a speech synthesis engine to generate audio data based on the generated script. This audio data includes a tone and style that takes into account the user's emotional state.

[0544] Step 6:

[0545] The server uses voice data to make calls to third parties over the communication network. The voice data is played back in real time, ensuring smooth information transmission.

[0546] Step 7:

[0547] The server converts the audio received from the other party during a call into text in real time and sends the analysis results back to the digital device. The user then reviews the call content in text and decides on their next move.

[0548] Step 8:

[0549] When the user enters additional information or a response, the device displays pre-defined phrases suggested by the emotion engine. The user uses these as a reference to enter the additional information.

[0550] Step 9:

[0551] The terminal sends the newly entered text to the server. The server then analyzes the text again using an emotion engine, generates audio data as needed, and transmits it to a third party.

[0552] Step 10:

[0553] The server securely logs all call content and response data, including sentiment analysis results, for later reference. This data is used to address user inquiries and for further analysis.

[0554] (Example 2)

[0555] 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."

[0556] Traditional telephone communication systems have faced challenges in improving the user experience because they struggle to provide responses and voice output that take user emotions into consideration. Furthermore, there was a problem with users not being able to easily input additional information during voice calls and effectively communicate it.

[0557] 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.

[0558] In this invention, the server includes means for analyzing text information and identifying emotions, means for adjusting audio data based on the results of emotion identification, and means for securely storing communication content and its transcript data. This enables flexible communication based on the user's emotions.

[0559] "Information equipment" refers to electronic devices used by users to input text information, and includes smartphones and computers.

[0560] "Textual information" refers to linguistic data that users input via information devices.

[0561] An "information processing device" is a computing device that analyzes received text information and performs appropriate processing; servers are an example of such devices.

[0562] "Audio data" refers to audio or audio-related data generated by an information processing device, which is output to another device via a communication network.

[0563] "Means of identifying emotions" refers to functions and technologies that analyze input text information to identify the user's emotional state.

[0564] "Means of producing audio output" refers to a mechanism for sending generated audio data as actual sound to another device.

[0565] A "transmission network" refers to a network structure that connects information processing equipment with other devices to enable data communication.

[0566] "Transcript data" refers to data obtained by converting audio output into text information.

[0567] The embodiments for carrying out the present invention are shown below.

[0568] The process begins with the user inputting the conversation content in text format using an information device, such as a smartphone or computer. The text information entered by the user is provided to the information device using a keyboard or voice input function.

[0569] Next, the terminal receives this text information and sends it via the internet to an information processing device, i.e., a server. The server utilizes natural language processing technologies such as an "emotion analysis API" to perform sentiment analysis and identify the user's emotions from the text information. This analysis plays a role in identifying emotional states such as positive, negative, and neutral.

[0570] Based on the results of the emotion identification, the server uses a "speech synthesis engine," such as a "general speech synthesis service," to generate audio data. During this process, the tone and speed of the voice are adjusted according to the emotional state.

[0571] For example, if a user enters text indicating urgency, such as "I won't make it to the afternoon meeting," the server will analyze that emotion as "negative" and "urgent." Based on this result, the server will synthesize a gentle voice message urging a quicker response than usual and output it to another device.

[0572] Examples of prompts include "Analyze the sentiment of the input text and generate an appropriate voice response," and the server operates according to these prompts.

[0573] This system allows users to receive emotionally sensitive communication, resulting in smoother and more effective conversations. This technology enhances the user experience and reduces stress in communication.

[0574] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0575] Step 1:

[0576] The user inputs text information using an information device. Specifically, the user uses a keyboard or voice input function to input communication content in text format. The input text information becomes the output of this step.

[0577] Step 2:

[0578] The terminal receives the entered character information and transmits it to the information processing device. Specifically, the terminal sends the character information to the server using a secure communication protocol (e.g., HTTPS). This character information is treated as input to the server.

[0579] Step 3:

[0580] The server analyzes the received text information using a sentiment analysis engine. Specifically, it uses a "sentiment analysis API" to classify the user's emotional state as positive, negative, neutral, etc. The emotional data obtained from this analysis becomes the input for the next step.

[0581] Step 4:

[0582] The server uses a speech synthesis engine to generate audio data based on the results of sentiment analysis. Specifically, the server sets a tone appropriate to the emotional state and generates audio data using a "general speech synthesis service." This generated audio data becomes the output.

[0583] Step 5:

[0584] The server generates audio data, which is then transmitted to another device for audio output. Specifically, the audio data is sent to the destination terminal via a transmission network (e.g., the internet) and played back as audio by the recipient. This enables the user to communicate as intended.

[0585] (Application Example 2)

[0586] 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."

[0587] Traditional telephone communication systems have been unable to accurately recognize and respond to emotional states, making it difficult to optimize the user experience. Furthermore, text-based communication often fails to convey emotional nuances, and particularly in customer service, there is a need to provide prompt responses while minimizing user stress.

[0588] 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.

[0589] In this invention, the server includes means for a user to input text information via a digital device, means for interpreting the text information based on the user's emotional state and generating audio data, and means for using the generated audio data to output audio to others. This enables nuanced responses and communication that are tailored to the user's emotions.

[0590] A "digital device" is an electronic device used by users to input and display text information, and includes smartphones and tablets.

[0591] A "processing unit" is a general term for servers and computer systems that analyze received text information, evaluate emotional states, and generate audio data.

[0592] "Emotional state" refers to the user's psychological state as analyzed from text information, and is classified into categories such as positive, negative, and neutral.

[0593] "Audio data" refers to digital data used to represent generated audio, which is then used to output audio to others.

[0594] "Communication infrastructure" refers to the basic infrastructure for transmitting information, including voice data, over a network, and includes the internet and telephone networks.

[0595] "Speech synthesis" is a technology that converts text information into speech, and includes a process of generating different tones and content according to the aforementioned emotional state.

[0596] The system that realizes this invention begins with the user inputting text information using a digital device. This digital device could be a smartphone or tablet, which accepts text input via a user interface. This input is sent to a server, which acts as a processing unit, for analysis of the emotional state. The server utilizes natural language processing libraries such as "TextBlob" and "Hugging Face Transformers" to evaluate the emotional state of the input text information.

[0597] Based on the analysis results, the server uses the Google Text-to-Speech API to generate audio data appropriate to the emotional state. The generated audio data is then provided to others as audio output via the communication infrastructure. In this process, appropriate tone and speed are used to generate the audio in order to accurately convey the nuances of emotion during speech synthesis.

[0598] For example, if a user enters "I'd like to know more about this product, but I have some concerns," the server will analyze this emotional state of "concern." It can then generate and provide a voice message in a tone that alleviates the user's concerns, such as, "This product is of high quality, and many users are satisfied with it, so please rest assured."

[0599] Example of a generative AI model input prompt:

[0600] "Generate a calming response for when a customer asks for product details. Their emotion is anxiety."

[0601] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0602] Step 1:

[0603] The user inputs text information using a digital device. The user enters communication content in text format via an interface such as a smartphone or tablet. This text information serves as the initial input for processing.

[0604] Step 2:

[0605] The terminal sends the input text information to the server, which acts as a processing unit. The terminal encrypts the text information using a security protocol and transfers it to the server via the communication network. The output here is encrypted text data.

[0606] Step 3:

[0607] The server analyzes the received text information and evaluates the emotional state. The server uses "TextBlob" and "Hugging Face Transformers" to extract emotional states (e.g., positive, negative, anxious, etc.) from the text information. This is a natural language processing technique, and the analysis results are output as emotional state labels.

[0608] Step 4:

[0609] The server generates audio data based on the emotional state. Using the Google Text-to-Speech API, it synthesizes speech with a tone and speaking speed appropriate to the emotion. The input to this process is the detected emotional state, and the output is the generated audio data.

[0610] Step 5:

[0611] The server transmits the generated audio data to others via the communication infrastructure. The server converts the audio data into a format suitable for the communication method used by the recipient and transmits it over the network. The output of this step is the audio data itself.

[0612] Step 6:

[0613] The user checks the audio output on a digital device and enters additional text information as needed. While reviewing the audio content, the user enters new questions or requests again in text format and sends them back to the server. This ensures continued communication.

[0614] 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.

[0615] 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.

[0616] 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.

[0617] [Fourth Embodiment]

[0618] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0619] 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.

[0620] 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).

[0621] 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.

[0622] 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.

[0623] 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).

[0624] 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.

[0625] 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.

[0626] 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.

[0627] 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.

[0628] 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.

[0629] 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.

[0630] 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".

[0631] The present invention provides a system for users with specific disabilities to communicate smoothly by telephone. In this embodiment, the user first opens an application using a digital terminal. The application provides an interface for the user to input the content they want to convey by telephone in text format. Through this interface, the user can input, for example, details of an appointment to a medical institution, such as "I would like to request an appointment with the dermatologist tomorrow at 10 a.m.."

[0632] The terminal sends this text data to a server via the internet. The receiving server analyzes the text information using a natural language processing engine and generates corresponding audio data using a speech synthesis engine. This audio data is then transmitted to a designated third party via a communication network, such as a telephone network. On the other end, the generated audio is played directly over the phone, and the conversation begins.

[0633] The server further recognizes the audio during the call in real time, converts it to text, and sends the converted data back to the digital device. Through this, the user can check the progress of the call and enter appropriate answers to any new questions that arise. If necessary, the server generates new audio based on the user's input and relays the answers to the other party again.

[0634] For example, if an unexpected question is asked at the hospital, such as "Do you have your health insurance card?", the user can type "Yes, I do" into the terminal. The server can then convert this into speech and similarly transmit it to a third party, such as the hospital staff.

[0635] In this way, through this series of processes, the system can provide users with appropriate and smooth telephone communication without relying on voice. Users can receive real-time feedback and convey necessary information, significantly overcoming conventional limitations.

[0636] The following describes the processing flow.

[0637] Step 1:

[0638] The user launches the app on their digital device and enters the text information they want to convey over the phone. The app provides an interface that allows users to easily enter information according to their purpose. For example, they might enter a sentence like, "Please make an appointment with the dermatologist tomorrow at 10 AM."

[0639] Step 2:

[0640] The terminal sends the entered text information to the server via the internet. This transmission is encrypted, ensuring security during transmission.

[0641] Step 3:

[0642] The server processes the received text information and analyzes its content using a natural language processing engine. Through this analysis, key information is extracted from the text and structured into data.

[0643] Step 4:

[0644] The server uses a speech synthesis engine based on the analyzed information to generate corresponding audio data. This audio data is then prepared for transmission to a third party via the telephone network.

[0645] Step 5:

[0646] The server uses voice data to initiate a call to a specified phone number using VoIP (Voice Over Internet Protocol) technology. During this process, voice data is generated and transmitted to a third party in real time as audio output.

[0647] Step 6:

[0648] The server converts the audio of the conversation during the call into text in real time. The converted text is sent to the digital device, and the user can view the content in real time through the app.

[0649] Step 7:

[0650] Users can view responses and questions from third parties within the app and enter additional information or answers as needed in text. The app provides helpful features, such as suggestion boxes for answers, allowing users to select the appropriate response.

[0651] Step 8:

[0652] The device resends additional text information to the server. It is encrypted again and sent securely.

[0653] Step 9:

[0654] The server generates newly received text information as audio data and outputs it again in real time to the third party involved in the call.

[0655] Step 10:

[0656] The server securely stores all data, along with a record of the call content, in a database. This stored data can be used later for review and verification if needed.

[0657] (Example 1)

[0658] 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".

[0659] Traditional communication methods have presented challenges, such as making it difficult for users with certain disabilities to communicate smoothly via voice. Furthermore, they have been criticized for their inefficiency in acquiring real-time voice information and providing immediate responses. There was also a need to improve usability by generating natural-sounding voices based on user input and by creating pre-defined templates.

[0660] 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.

[0661] In this invention, the server includes means for the user to input text information via an information device, means for transmitting the text information to a central processing unit, means for the central processing unit to analyze the text information and generate a voice signal, means for synthesizing natural speech based on the input text information using a generation AI model, and means for pre-constructing speech content using prompt sentences. This makes it possible for users with certain disabilities to engage in smooth and efficient telephone communication without relying on voice.

[0662] "User" refers to a user with a specific disability who uses this system.

[0663] "Information equipment" refers to electronic devices used by users to input and send / receive text information.

[0664] "Textual information" refers to data in text format that users input via information devices.

[0665] A "central processing unit" refers to a computer or server that analyzes text information, generates audio signals, and processes them.

[0666] "Audio signal" refers to audio data generated based on analyzed textual information.

[0667] "Communication use" refers to communication methods and networks used to transmit voice signals to others.

[0668] "Generative AI models" refer to artificial intelligence technologies used to synthesize natural-sounding speech.

[0669] A "prompt" refers to pre-written text used to provide ideas when generating an audio signal.

[0670] A "standard phrase" refers to a sentence that has been prepared in advance based on commonly used expressions.

[0671] This invention is a system for providing smooth communication to users who have difficulty communicating through voice information. In this embodiment of the system, the user inputs information in text format using an information device and sends it to the server. As the information device, an electronic device such as a smartphone, tablet, or personal computer can be used.

[0672] The server utilizes generative AI models such as natural language processing and speech synthesis to analyze the received text information. The analyzed text information is converted into an audio signal and transmitted to a third party via communication. This process includes speech recognition and speech synthesis engines, using technologies such as the Google Speech-to-Text API or equivalent technologies.

[0673] As a concrete example, when a user makes an appointment at a medical institution, they input text such as "I would like to request an appointment with the dermatologist tomorrow at 10 AM" through their information device. This text data is sent to a server, where it is converted into an audio signal and transmitted to the medical institution. As a result, the user can complete the appointment without needing to communicate by voice.

[0674] By using a generative AI model, it is possible to generate natural-sounding speech based on text information entered by the user. An example of a prompt is: "I would like to make an appointment at a medical institution, so please convert this text to speech. Input: 'I would like to request an appointment with the dermatologist tomorrow at 10 AM.'" This allows for the efficient use of pre-prepared templates, providing a user-friendly interface.

[0675] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0676] Step 1:

[0677] The user starts up their information device and opens the application. They enter a specific message as text information, such as "Please make a dermatology appointment for 10 AM tomorrow." This input data is stored as text information within the device.

[0678] Step 2:

[0679] The terminal sends the text information entered by the user to the server via the internet. Using protocols such as HTTP, the text data is sent to the server's receiving endpoint. The server securely receives this text information and prepares it for analysis.

[0680] Step 3:

[0681] The server passes the received text information to the natural language processing engine. Here, language analysis is performed based on the input text data, and the appropriate syntax and meaning are extracted. After analysis, this syntactic information is converted into data for generating a speech signal.

[0682] Step 4:

[0683] The server uses a generative AI model to generate natural-sounding speech signals from the analyzed data. Specifically, the generative AI model sends prompts to the speech synthesis engine, which then generates speech waveforms. These prompts contain sentences that reflect the user's intent. The generated speech signals are then prepared for subsequent communication.

[0684] Step 5:

[0685] The server transmits the generated voice signal to a third party via a communication network. Here, the voice signal is transmitted using a telephone network. The voice signal is output as physical sound through the third party's receiver, conveying the user's intentions.

[0686] Step 6:

[0687] The server receives the voice of a third party during a call in real time and converts it to text using a speech recognition engine. Voice data is input, and output is obtained by converting it into text information through language recognition.

[0688] Step 7:

[0689] The terminal receives the converted text information from the server and displays it to the user. Based on this information, the user can enter further text information if necessary and prepare a response. For example, they might type, "Yes, I have it."

[0690] Step 8:

[0691] The server converts the user's new input back into an audio signal and transmits the response to a third party through the existing call using the same procedure. By repeating this process, continuous and smooth communication can be maintained.

[0692] (Application Example 1)

[0693] 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".

[0694] The problem this invention aims to solve is the difficulty in conveying appropriate information in emergencies due to the inability of users with certain disabilities to easily engage in voice communication. In particular, this problem is solved by providing a means for users to quickly and accurately cooperate with security agencies and response agencies in emergencies.

[0695] 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.

[0696] In this invention, the server includes means for a user to input information via an information processing device, means for transmitting the input information to a communication device, and means for making emergency contact immediately. This makes it possible for a user with a disability to quickly and accurately transmit necessary information in an emergency without relying on voice.

[0697] An "information processing device" is an electronic device equipped with the function of allowing users to input, send, and receive information.

[0698] "Input information" refers to text data or messages that a user inputs to send to a communication device via an information processing device.

[0699] A "communication device" is a digital platform equipped with the function of receiving input information and transmitting it to a recipient as an audio signal.

[0700] An "audio signal" is digital data obtained by converting text data into an audio format, and its purpose is to enable dialogue with the recipient.

[0701] "Communication path" refers to the entire network and infrastructure used to transmit voice signals to recipients, enabling the sending and receiving of data.

[0702] "Recipient" refers to a third party or organization that receives audio signals from a user.

[0703] "Document conversion" is the process of converting received audio into text data, allowing users to visually confirm the content.

[0704] "Standard phrases" are pre-generated options of text that users can use to quickly provide answers or information.

[0705] "Emergency communication" refers to a means of communication used to quickly transmit necessary information to security agencies and response agencies in times of emergency.

[0706] A "security agency" refers to an organization responsible for maintaining public safety and, when necessary, dealing with crime and emergencies.

[0707] A "response agency" is an organization or service established to respond to emergencies, and it is responsible for immediately responding to emergency contacts from users.

[0708] To implement this invention, a system integrating an information processing device, a communication device, and speech synthesis and speech recognition technologies is primarily used. The information processing device is a device that allows users to easily input information, such as a smartphone or a personal computer. The communication device utilizes a cloud-based server and includes a natural language processing engine and a speech synthesis engine. Specifically, services such as Google Cloud's Natural Language API, Amazon Polly speech synthesis engine, and Google Speech-to-Text are effective.

[0709] The user inputs emergency contact information as text via an information processing device. This input information is sent to a server, which is a communication device. The server analyzes the input information, converts it into an audio signal, and transmits it to the recipient via the communication path. The audio signal is listened to in real time by the recipient at the security agency or response agency.

[0710] Furthermore, the audio transmitted during communication is instantly converted into text and returned to the user's information processing device, allowing the user to visually confirm the content of the conversation. This process enables users with disabilities to convey necessary information immediately and accurately.

[0711] A concrete example is when a user spots a suspicious figure at night and inputs "I saw a suspicious person, please come immediately" into the information processing system. The server analyzes this and immediately transmits it as an audio signal to the security company. Based on the received information, the security company can quickly take appropriate action.

[0712] Examples of prompts include, "Think of a way for users with disabilities to contact someone quickly in an emergency," or "Design a security application for users who have difficulty communicating by voice."

[0713] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0714] Step 1:

[0715] The user inputs emergency contact information as text using an information processing device. The entered text information is first formatted within the information processing device and prepared as data that can be sent to a communication device. At this stage, local feedback is displayed to the user to confirm what the input information is.

[0716] Step 2:

[0717] The terminal transmits text information entered by the user to a server, which is a communication device. The server first receives this input data and passes it to a natural language processing engine for analysis. As a result of the analysis, the text information undergoes sentence analysis and intent estimation, and is then prepared to be converted into a speech signal.

[0718] Step 3:

[0719] The server sends the parsed text information to the speech synthesis engine to generate an audio signal. During this process, prompts are used to specify the tone and sound quality of the speech. The generated audio signal is then formatted again as data to be sent to the recipient.

[0720] Step 4:

[0721] The server generates an audio signal and transmits it to the recipient via the communication path. The audio signal is configured to be transmitted immediately to the recipient at the security or response agency. This audio data is then played back as a message under specific conditions pre-registered by the recipient.

[0722] Step 5:

[0723] The communication device receives the recipient's voice response in real time and converts it into text using a speech recognition engine. The converted text is formatted on the server and immediately sent to the user's information processing device.

[0724] Step 6:

[0725] The terminal displays the received text information to the user. By referring to this, the user can visually confirm the recipient's response and, if necessary, enter additional text information to continue sending.

[0726] 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.

[0727] This invention combines a text-based telephone communication system with an emotion engine. In addition to the process of a user inputting text information using a digital terminal, which is then received by a server and output as audio, this system also enables emotional analysis of the input text.

[0728] The user inputs the content they wish to discuss as text through an application on their digital device. The device then securely transmits this text information to the server. The server first analyzes the received text information using an emotion engine to evaluate the user's emotional state. This evaluation identifies emotions such as positive, negative, or neutral based on the expressions and phrases in the text. Based on these results, the server then adjusts the speech data and responses generated by the speech synthesis engine used in the conversation.

[0729] For example, if a user enters urgent text such as "I'll be in trouble if I can't get a hospital appointment," the server analyzes the emotional state as "negative" and "anxious." Based on this emotional analysis, the server selects a script to respond to the other party quickly and specifically, and outputs the generated audio to a third party.

[0730] Furthermore, the server offers options and suggestions that take the user's emotions into account in response to new questions or requests for additional information during a call. For example, if the emotion engine detects the user's stress, the server can present the user with pre-prepared, gentle tones and polite, standardized explanations.

[0731] In this way, this system makes telephone conversations smoother and more effective by providing communication that takes user emotions into consideration. This technology plays an important role in improving the user experience and reducing stressors in communication.

[0732] The following describes the processing flow.

[0733] Step 1:

[0734] The user launches the app on their digital device and enters the information they want to convey over the phone in text format. At this stage, the user can freely enter text that reflects their emotions and situation.

[0735] Step 2:

[0736] The terminal sends the entered text information to the server. A secure protocol is used for this transmission to ensure the safety of the information.

[0737] Step 3:

[0738] The server passes the received text information to the emotion engine, which analyzes its content. The emotion engine extracts emotional nuances from the text and identifies emotional states such as positive, negative, or neutral.

[0739] Step 4:

[0740] The server generates an appropriate communication script based on the analysis results of the emotion engine. This is to determine how to proceed with the conversation according to the user's emotional state.

[0741] Step 5:

[0742] The server uses a speech synthesis engine to generate audio data based on the generated script. This audio data includes a tone and style that takes into account the user's emotional state.

[0743] Step 6:

[0744] The server uses voice data to make calls to third parties over the communication network. The voice data is played back in real time, ensuring smooth information transmission.

[0745] Step 7:

[0746] The server converts the audio received from the other party during a call into text in real time and sends the analysis results back to the digital device. The user then reviews the call content in text and decides on their next move.

[0747] Step 8:

[0748] When the user enters additional information or a response, the device displays pre-defined phrases suggested by the emotion engine. The user uses these as a reference to enter the additional information.

[0749] Step 9:

[0750] The terminal sends the newly entered text to the server. The server then analyzes the text again using an emotion engine, generates audio data as needed, and transmits it to a third party.

[0751] Step 10:

[0752] The server securely logs all call content and response data, including sentiment analysis results, for later reference. This data is used to address user inquiries and for further analysis.

[0753] (Example 2)

[0754] 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".

[0755] Traditional telephone communication systems have faced challenges in improving the user experience because they struggle to provide responses and voice output that take user emotions into consideration. Furthermore, there was a problem with users not being able to easily input additional information during voice calls and effectively communicate it.

[0756] 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.

[0757] In this invention, the server includes means for analyzing text information and identifying emotions, means for adjusting audio data based on the results of emotion identification, and means for securely storing communication content and its transcript data. This enables flexible communication based on the user's emotions.

[0758] "Information equipment" refers to electronic devices used by users to input text information, and includes smartphones and computers.

[0759] "Textual information" refers to linguistic data that users input via information devices.

[0760] An "information processing device" is a computing device that analyzes received text information and performs appropriate processing; servers are an example of such devices.

[0761] "Audio data" refers to audio or audio-related data generated by an information processing device, which is output to another device via a communication network.

[0762] "Means of identifying emotions" refers to functions and technologies that analyze input text information to identify the user's emotional state.

[0763] "Means of producing audio output" refers to a mechanism for sending generated audio data as actual sound to another device.

[0764] A "transmission network" refers to a network structure that connects information processing equipment with other devices to enable data communication.

[0765] "Transcript data" refers to data obtained by converting audio output into text information.

[0766] The embodiments for carrying out the present invention are shown below.

[0767] The process begins with the user inputting the conversation content in text format using an information device, such as a smartphone or computer. The text information entered by the user is provided to the information device using a keyboard or voice input function.

[0768] Next, the terminal receives this text information and sends it via the internet to an information processing device, i.e., a server. The server utilizes natural language processing technologies such as an "emotion analysis API" to perform sentiment analysis and identify the user's emotions from the text information. This analysis plays a role in identifying emotional states such as positive, negative, and neutral.

[0769] Based on the results of the emotion identification, the server uses a "speech synthesis engine," such as a "general speech synthesis service," to generate audio data. During this process, the tone and speed of the voice are adjusted according to the emotional state.

[0770] For example, if a user enters text indicating urgency, such as "I won't make it to the afternoon meeting," the server will analyze that emotion as "negative" and "urgent." Based on this result, the server will synthesize a gentle voice message urging a quicker response than usual and output it to another device.

[0771] Examples of prompts include "Analyze the sentiment of the input text and generate an appropriate voice response," and the server operates according to these prompts.

[0772] This system allows users to receive emotionally sensitive communication, resulting in smoother and more effective conversations. This technology enhances the user experience and reduces stress in communication.

[0773] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0774] Step 1:

[0775] The user inputs text information using an information device. Specifically, the user uses a keyboard or voice input function to input communication content in text format. The input text information becomes the output of this step.

[0776] Step 2:

[0777] The terminal receives the entered character information and transmits it to the information processing device. Specifically, the terminal sends the character information to the server using a secure communication protocol (e.g., HTTPS). This character information is treated as input to the server.

[0778] Step 3:

[0779] The server analyzes the received text information using a sentiment analysis engine. Specifically, it uses a "sentiment analysis API" to classify the user's emotional state as positive, negative, neutral, etc. The emotional data obtained from this analysis becomes the input for the next step.

[0780] Step 4:

[0781] The server uses a speech synthesis engine to generate audio data based on the results of sentiment analysis. Specifically, the server sets a tone appropriate to the emotional state and generates audio data using a "general speech synthesis service." This generated audio data becomes the output.

[0782] Step 5:

[0783] The server generates audio data, which is then transmitted to another device for audio output. Specifically, the audio data is sent to the destination terminal via a transmission network (e.g., the internet) and played back as audio by the recipient. This enables the user to communicate as intended.

[0784] (Application Example 2)

[0785] 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".

[0786] Traditional telephone communication systems have been unable to accurately recognize and respond to emotional states, making it difficult to optimize the user experience. Furthermore, text-based communication often fails to convey emotional nuances, and particularly in customer service, there is a need to provide prompt responses while minimizing user stress.

[0787] 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.

[0788] In this invention, the server includes means for a user to input text information via a digital device, means for interpreting the text information based on the user's emotional state and generating audio data, and means for using the generated audio data to output audio to others. This enables nuanced responses and communication that are tailored to the user's emotions.

[0789] A "digital device" is an electronic device used by users to input and display text information, and includes smartphones and tablets.

[0790] A "processing unit" is a general term for servers and computer systems that analyze received text information, evaluate emotional states, and generate audio data.

[0791] "Emotional state" refers to the user's psychological state as analyzed from text information, and is classified into categories such as positive, negative, and neutral.

[0792] "Audio data" refers to digital data used to represent generated audio, which is then used to output audio to others.

[0793] "Communication infrastructure" refers to the basic infrastructure for transmitting information, including voice data, over a network, and includes the internet and telephone networks.

[0794] "Speech synthesis" is a technology that converts text information into speech, and includes a process of generating different tones and content according to the aforementioned emotional state.

[0795] The system that realizes this invention begins with the user inputting text information using a digital device. This digital device could be a smartphone or tablet, which accepts text input via a user interface. This input is sent to a server, which acts as a processing unit, for analysis of the emotional state. The server utilizes natural language processing libraries such as "TextBlob" and "Hugging Face Transformers" to evaluate the emotional state of the input text information.

[0796] Based on the analysis results, the server uses the Google Text-to-Speech API to generate audio data appropriate to the emotional state. The generated audio data is then provided to others as audio output via the communication infrastructure. In this process, appropriate tone and speed are used to generate the audio in order to accurately convey the nuances of emotion during speech synthesis.

[0797] For example, if a user enters "I'd like to know more about this product, but I have some concerns," the server will analyze this emotional state of "concern." It can then generate and provide a voice message in a tone that alleviates the user's concerns, such as, "This product is of high quality, and many users are satisfied with it, so please rest assured."

[0798] Example of a generative AI model input prompt:

[0799] "Generate a calming response for when a customer asks for product details. Their emotion is anxiety."

[0800] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0801] Step 1:

[0802] The user inputs text information using a digital device. The user enters communication content in text format via an interface such as a smartphone or tablet. This text information serves as the initial input for processing.

[0803] Step 2:

[0804] The terminal sends the input text information to the server, which acts as a processing unit. The terminal encrypts the text information using a security protocol and transfers it to the server via the communication network. The output here is encrypted text data.

[0805] Step 3:

[0806] The server analyzes the received text information and evaluates the emotional state. The server uses "TextBlob" and "Hugging Face Transformers" to extract emotional states (e.g., positive, negative, anxious, etc.) from the text information. This is a natural language processing technique, and the analysis results are output as emotional state labels.

[0807] Step 4:

[0808] The server generates audio data based on the emotional state. Using the Google Text-to-Speech API, it synthesizes speech with a tone and speaking speed appropriate to the emotion. The input to this process is the detected emotional state, and the output is the generated audio data.

[0809] Step 5:

[0810] The server transmits the generated audio data to others via the communication infrastructure. The server converts the audio data into a format suitable for the communication method used by the recipient and transmits it over the network. The output of this step is the audio data itself.

[0811] Step 6:

[0812] The user checks the audio output on a digital device and enters additional text information as needed. While reviewing the audio content, the user enters new questions or requests again in text format and sends them back to the server. This ensures continued communication.

[0813] 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.

[0814] 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.

[0815] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0816] 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.

[0817] 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.

[0818] 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.

[0819] 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.

[0820] 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.

[0821] 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."

[0822] 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.

[0823] 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.

[0824] 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.

[0825] 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.

[0826] 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.

[0827] 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.

[0828] 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 memory.

[0829] 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.

[0830] 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.

[0831] 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.

[0832] 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.

[0833] 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 as being incorporated by reference.

[0834] The following is further disclosed regarding the embodiments described above.

[0835] (Claim 1)

[0836] A means by which users input text information via a digital device,

[0837] Means for sending the aforementioned text information to a server,

[0838] The server comprises means for analyzing the text information and generating audio data,

[0839] The server provides means for outputting audio to a third party via a communication network using the audio data,

[0840] A means for converting the audio during the aforementioned communication into text in real time and providing it to the digital terminal,

[0841] A means by which a user inputs additional text information via the digital terminal, and the server converts that text information back into audio data and transmits it to the third party,

[0842] A system that includes this.

[0843] (Claim 2)

[0844] The system according to claim 1, further characterized in that the server provides means for securely recording the content of a call and its transcription data.

[0845] (Claim 3)

[0846] The system according to claim 1, further comprising means for the server to generate predefined texts based on text information entered by the user and present them to the user as options.

[0847] "Example 1"

[0848] (Claim 1)

[0849] A means by which users input text information via information devices,

[0850] Means for transmitting the aforementioned character information to a central processing unit,

[0851] The central processing unit includes means for analyzing the character information and generating an audio signal,

[0852] The central processing unit includes means for using the audio signal to output audio to another party via communication,

[0853] A means for converting audio for the aforementioned communication application into text in real time and providing it to the information device,

[0854] A means by which a user inputs additional character information via the aforementioned information device, and the central processing unit converts that character information back into an audio signal and transmits it to the other party,

[0855] A method for synthesizing natural-sounding speech based on input text information using a generative AI model,

[0856] A means for constructing the content of an utterance in advance using the aforementioned prompt sentence,

[0857] A system that includes this.

[0858] (Claim 2)

[0859] The system according to claim 1, further comprising means for securely recording the content of a call and its transcribed data.

[0860] (Claim 3)

[0861] The system according to claim 1, further comprising means for the central processing unit to generate predefined texts based on the character information entered by the user and present them to the user as options.

[0862] "Application Example 1"

[0863] (Claim 1)

[0864] A means by which a user inputs information via an information processing device,

[0865] Means for transmitting the aforementioned input information to a communication device,

[0866] The communication device includes means for analyzing the input information and generating an audio signal,

[0867] The communication device includes means for outputting audio to a receiver via a communication path using the audio signal,

[0868] Means for instantly converting the audio during the aforementioned communication into a document and providing it to the information processing device,

[0869] The means by which the user inputs additional input information via the information processing device, and the communication device converts that input information back into an audio signal and transmits it to the receiver,

[0870] A means of immediately making emergency contact with security agencies and response agencies,

[0871] A system that includes this.

[0872] (Claim 2)

[0873] The system according to claim 1, further comprising means for securely recording the communication content and its converted data.

[0874] (Claim 3)

[0875] The system according to claim 1, further comprising means for the communication device to generate predefined phrases based on input information entered by the user and present them to the user as options.

[0876] "Example 2 of combining an emotion engine"

[0877] (Claim 1)

[0878] A means by which users input text information via information devices,

[0879] means for transmitting the aforementioned character information to an information processing device,

[0880] The information processing device includes means for analyzing the character information and identifying emotions, and means for generating sound data.

[0881] means for adjusting the sound data based on the result of identifying the emotion,

[0882] The information processing device includes means for using the acoustic data to output an acoustic signal to another device via a transmission network,

[0883] Means for sequentially converting the sound being transmitted into text and providing it to the information device,

[0884] A means by which a user inputs additional character information via the aforementioned information device, and the information processing device converts that character information back into sound data and transmits it to the aforementioned other device,

[0885] A system that includes this.

[0886] (Claim 2)

[0887] The system according to claim 1, further characterized in that the information processing device comprises means for securely storing communication content and its transcription data.

[0888] (Claim 3)

[0889] The system according to claim 1, further comprising means for the information processing device to generate a predetermined sentence based on the character information entered by the user and present it to the user as a choice.

[0890] "Application example 2 when combining with an emotional engine"

[0891] (Claim 1)

[0892] A means by which a user inputs text information via a digital device,

[0893] means for transmitting the aforementioned text information to a processing device,

[0894] The processing device includes means for interpreting the text information and evaluating the emotional state,

[0895] The processing device includes means for generating audio data based on the emotional state,

[0896] The processing device includes means for using the voice data to output voice to another party via a communication infrastructure,

[0897] Means for sequentially converting the audio during the aforementioned communication into text and providing it to the digital device,

[0898] The means by which the user inputs additional text information using the digital device, and the processing unit converts that text information back into audio data and transmits it to the other party,

[0899] Means for performing speech synthesis according to the aforementioned emotional state,

[0900] A system that includes this.

[0901] (Claim 2)

[0902] The system according to claim 1, further comprising means for securely storing call information and its transcription data.

[0903] (Claim 3)

[0904] The system according to claim 1, further comprising means for the processing device to generate predefined expressions in advance based on text information entered by the user and present them to the user as candidates. [Explanation of symbols]

[0905] 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

1. A means by which users input text information via a digital device, Means for sending the aforementioned text information to a server, The server comprises means for analyzing the text information and generating audio data, The server provides means for outputting audio to a third party via a communication network using the audio data, A means for converting the audio during the aforementioned communication into text in real time and providing it to the digital terminal, A means by which a user inputs additional text information via the digital terminal, and the server converts that text information back into audio data and transmits it to the third party, A system that includes this.

2. The system according to claim 1, further characterized in that the server provides means for securely recording the content of a call and its transcription data.

3. The system according to claim 1, further comprising means for the server to generate predefined texts based on text information entered by the user and present them to the user as options.

Images