KR20240014154A - Online psychological counseling system using voice recognition - Google Patents

Abstract

In the present invention, when a client selects among chat, phone, video, or face-to-face counseling and proceeds with the counseling, the content of the counseling between the client and the counselor is separated into text, analyzed by artificial intelligence, and the emotional state of the client is displayed using a graph. It is about an online psychological counseling system using voice recognition that provides visual information, automatically recommends sayings appropriate for the client's emotional state, and provides a counseling report containing the counselor's advice, and provides chat counseling, phone counseling, and video counseling from the client. Counseling type selection section where the type of counseling is selected during counseling or face-to-face counseling, a counselor matching section that matches the client with a counselor, a counseling record section that stores the contents of the counseling as an audio file or video file after matching with a counselor, and a counseling record section that stores the contents of the counseling as an audio file or video file. The voice extracted from the audio file or video file is converted into text to distinguish between the client and the counselor regarding the counseling contents converted into text, and the counseling analysis department that analyzes the client's emotions and the client's emotional state analyzed by the counseling analysis department are graphed. It is characterized by providing a report visually and including a report generation unit that recommends a quote suitable for the client's emotional state.

Description

Online psychological counseling system using voice recognition {ONLINE PSYCHOLOGICAL COUNSELING SYSTEM USING VOICE RECOGNITION}

The present invention relates to an online psychological counseling system using voice recognition. More specifically, the present invention relates to an online psychological counseling system that matches, makes reservations, and consults with a counselor online, converts the contents of the counseling between the client and the counselor into text, and then automatically determines the emotional state of the client. This is about an online psychological counseling system using voice recognition that analyzes and provides a counseling report.

Modern people are experiencing psychological difficulties due to various stresses in their diverse and complex living environments. Recently, the demand for psychological counseling due to depression is rapidly increasing after COVID-19. Psychological counseling is a process in which a counselor and client cooperate to solve problems in order to escape from various problems in everyday life, such as emotional pain caused by psychological problems, conflicts in interpersonal relationships, and maladjustment in social life, and enjoy a more adaptive and comfortable life. refers to the process

Recently, the number of psychological counseling cases through non-face-to-face counseling platforms is increasing. A conventional patent related to online psychological counseling is Publication Patent No. 10-2022-0070904, ‘Online Counseling Service System’. Publication Patent No. 10-2022-0070904 receives multiple example test results from a subscriber terminal, analyzes the type based on the received results, extracts the tendency, and generates a psychological result report.

Another conventional patent is Publication Patent No. 10-2021-0088991, ‘System and method for providing psychological counseling.’ Publication Patent No. 10-2021-0088991 generates and provides to the user at least one of a mission and a periodic psychological test related to a psychological stability program, and generates a report containing the results of the user achieving the mission and the results of the psychological test to the user. provided to.

Existing inventions relate to conducting a psychological test for a user online or providing a mission and generating a psychological result report based on the results of completing the mission, due to the lack or lack of time for counseling conversations between the client and the counselor. It has limitations in that it cannot be helpful to customers who want to receive psychological treatment and achieve psychological stability through conversation with a counselor.

Republic of Korea Patent Publication No. 10-2022-0070904 Republic of Korea Patent Publication No. 10-2021-0088991

The present invention was invented to improve the above problems. By simply conducting a general psychological counseling conversation between the client and the counselor without conducting a separate psychological test, the counseling results are automatically analyzed based on artificial intelligence and a counseling report is generated and provided. The purpose is to provide an online psychological counseling system using voice recognition.

In the present invention, when a client selects among chat, phone, video, or face-to-face counseling and proceeds with the counseling, the content of the counseling between the client and the counselor is separated into text, analyzed by artificial intelligence, and the emotional state of the client is provided visually using a graph. The purpose is to provide an online psychological counseling system using voice recognition that automatically recommends quotes appropriate for the client's emotional state and provides a counseling report containing the counselor's advice.

In order to achieve the above-mentioned purpose, the online psychological counseling system using voice recognition according to the present invention includes a counseling type selection unit where the client selects a counseling type among chat counseling, telephone counseling, video counseling, and face-to-face counseling, and the client and A counselor matching department that matches counselors, a counseling record that stores the content of the consultation after matching with a counselor as an audio file or video file, and a voice extracted from the audio or video file saved by the counseling record that is converted into text and converted into text. The counseling analysis department that analyzes the client's emotions, distinguishes between the client and the counselor regarding the content of the counseling, visually provides the client's emotional state analyzed by the counseling analysis department using graphs, and recommends sayings appropriate for the client's emotional state. Includes report generation section.

The counselor matching department provides counselor information that provides a list of counselors who are available for immediate consultation (1), a list of recommended counselors suitable for the client based on information measuring the client's condition (2), and a list of all counselors registered in the system (3). It is characterized by including a consultation reservation unit that reserves a time for consultation with a counselor selected by the client from the list of counselors provided by the provision department and the counselor information provision department, and sends the reserved information by text message to the client and the counselor.

In addition, the client status measurement department collects the client's condition by conducting a basic questionnaire through a chatbot to determine what type of counseling the client wants, and the client's condition information collected by the client condition measurement unit is matched with the counselor's specialty using artificial intelligence to provide the best results. It further includes a counselor recommendation unit that recommends one or more suitable counselors, and the counselor information provision unit is characterized by providing the counselors recommended by the counselor recommendation unit as a list of recommended counselors (2).

In addition, it is characterized by further comprising an AI conversion counseling unit that modulates the voice and tone of speech of the counselor matched by the counselor matching unit according to the client's selection with an AI conversion function and delivers the modulated voice counseling content to the client in real time.

In addition, the counseling analysis unit uses an artificial intelligence voice recognition function that can separate speakers from the audio files or video files stored in the counseling record, and converts them into text by distinguishing between the content of the client and the counselor's consultation. For one consultation, the conversation analysis department analyzes the total counseling time, conversation time for each client and counselor, number of words spoken, speaking speed, and frequent vocabulary, and the text analysis department analyzes the client's emotions based on the content of the client's conversation. It is characterized by including a client emotion analysis unit.

In addition, the report generation unit visually provides the client's emotional state analyzed by the counseling analysis department using a graph, and the quote recommendation unit uses an artificial intelligence-based similarity matching method to recommend the most appropriate quote for the client's emotional state. It is characterized by including an advice addition section that receives advice from the department and counselor and adds it to the report.

At this time, the emotional graph generation unit classifies the client into categories based on the number of words the client speaks and the frequent vocabulary analyzed by the counseling analysis department, counts for each category, and expresses the client's emotional state in a graph and quantifies it, and the quote recommendation unit shows the client's emotional state. Sentences and sayings that represent the sayings stored in the DB are morphologically analyzed to extract a plurality of first morphemes for sentences expressing the client's emotional state, and extracting a plurality of second morphemes for the saying, based on the first and second morphemes. It is characterized by recommending a quote that is most similar to a sentence expressing the client's emotional state.

According to the present invention, no matter whether a client and a counselor conduct counseling through chat, phone, video, or face-to-face counseling, the speaker is separated and converted into text based on artificial intelligence voice recognition, and the counseling report is automatically generated after analyzing the client's counseling text. Because it is created and provided, clients do not need to perform separate psychological tests or missions, so they can focus on counseling with the counselor.

In addition, using artificial intelligence, it is possible to match and recommend a counselor suitable for the client's condition. By analyzing the converted text of the client's counseling content, the client's emotional state is analyzed and presented visually using a graph, so that the client can feel confident in his/her self. It is possible to intuitively understand one's emotional state.

It automatically matches and recommends quotes suitable for the client's emotional state based on artificial intelligence from the quote database, and provides a counseling report by adding the counselor's advice.

Furthermore, based on the counselor's counseling content, the Conversation Quality Index (CQI), which represents a quantitative score on the level of counseling skills, can be measured and used for counselor training and evaluation, and users can use the counselor's training and evaluation through reviews and recommendations. You can leave an evaluation, and by analyzing the intensity of positivity and negativity from user reviews using artificial intelligence, a comprehensive evaluation of the quality of the counselor is possible.

Figure 1 is a configuration diagram of an online psychological counseling system using voice recognition according to the present invention.
Figure 2 is a flowchart of an online psychological counseling method using voice recognition according to the present invention.
Figure 3 is an example of information needed to match a client and counselor during recommended counseling.
Figure 4 is an example showing each word used to measure the client's emotional state and the emotional category of the word.
Figure 5 is a flow chart showing the flow of processing the client's counseling content according to the counseling format, identifying the client and the counselor based on artificial intelligence, and analyzing the client's emotional state.
Figure 6 is a sample counseling report provided to the client in the present invention

The advantages and features of the present invention and methods for achieving them will become clear by referring to the embodiments described in detail below along with the accompanying drawings.

However, the present invention is not limited to the embodiments disclosed below and will be implemented in various different forms.

The examples herein are provided to ensure that the disclosure of the present invention is complete and to fully inform those skilled in the art of the scope of the invention.

And the present invention is only defined by the scope of the claims.

Accordingly, in some embodiments, well-known components, well-known operations and well-known techniques are not specifically described in order to avoid ambiguous interpretation of the present invention.

In addition, the same reference numerals refer to the same elements throughout the specification, and the terms used (mentioned) in the specification are for explaining embodiments and are not intended to limit the present invention.

In this specification, the singular also includes the plural unless specifically stated in the phrase, and elements and operations referred to as 'including (or, including)' do not exclude the presence or addition of one or more other elements and operations. .

Unless otherwise defined, all terms (including technical and scientific terms) used in this specification may be used with meanings that can be commonly understood by those skilled in the art to which the present invention pertains.

Additionally, terms defined in commonly used dictionaries are not interpreted ideally or excessively unless they are defined.

Hereinafter, preferred embodiments of the present invention will be described with reference to the attached drawings.

Referring to Figure 1, the online psychological counseling system utilizing voice recognition according to the present invention includes a counseling type selection unit (100), a counselor matching unit (200), a counseling record unit (300), a counseling analysis unit (400), and a report generation unit. It basically includes a unit 500, and may further include a client status measurement unit 600, a counselor recommendation unit 700, a counseling evaluation unit 800, and an AI conversion counseling unit 900.

The counseling type selection unit 100 receives the client's selection of a counseling type among chat counseling, phone counseling, video counseling, and face-to-face counseling. Chat consultation is real-time consultation with a counselor using the chat function provided by the system, phone consultation is real-time consultation with a counselor using the phone function provided by the system, and video consultation is using the online video consultation function provided by the system. Use it to consult with a counselor in real time. In face-to-face counseling, the client visits the counselor and conducts face-to-face counseling, and records are recorded by accessing the system through the counselor's terminal.

The counselor matching unit 200 matches clients and counselors. Counselor matching consists of the following three parts.

1) Immediate consultation: A list of counselors who have been checked as ‘available for immediate consultation’ is shown to the client through the counselor’s terminal, allowing the client to receive counseling immediately.

2) Recommended counseling: The most suitable counselor is recommended based on the client's information collected through the client status measurement unit 600, and a list of recommended counselors is displayed. The client condition measuring unit 600 will be described in detail again below.

3) All Counseling: Shows a list of all counselors registered in the system.

The client selects one of the counselors classified as 1), 2), and 3) to reserve a consultation time, and the reserved information is transmitted to the client and the counselor's terminal.

The consultation recorder 300 stores the contents of the consultation after matching with a counselor as an audio file or video file. The contents of the consultation are stored, and the storage method varies depending on the type of consultation.

1) Chat consultation: The counselor opens a chat room and stores all records as text for each speaker until the chat room is closed.

2) Telephone consultation: All records from the moment the counselor calls to the moment the call ends are saved as voice audio files.

3) Video consultation: The counselor opens the video consultation room and saves all records until the end as a video file.

4) Face-to-face consultation: All voice records from the time the counselor clicks the start consultation button on the system to the end consultation button are saved as audio.

The counseling analysis unit 400 converts the voice extracted from the audio file or video file stored by the counseling record unit 300 into text, distinguishes the client and the counselor from the counseling content converted into text, and analyzes the client's emotions. Of course, since chat counseling is already stored as text, the text content is still used to distinguish between the client and the counselor.

The report generation unit 500 visually provides the client's emotional state analyzed by the counseling analysis unit 400 using a graph and recommends a quote suitable for the client's emotional state. You can also receive short advice from the counselor's terminal and add it to the report.

Specifically, the counselor matching unit 200 consists of a counselor information provision unit 210 and a consultation reservation unit 220.

The counselor information provision unit 210 provides a list of counselors who can provide immediate consultation (1), a list of recommended counselors suitable for the client based on information measuring the client's condition (2), and a list of all counselors registered in the system (3). provides.

1) Immediate counselor: Through the counselor's terminal, a list of counselors who are available for immediate counseling and checked as ‘Available for immediate counseling’ is shown to the client, allowing them to receive counseling immediately. In order to provide immediate counseling, a list of counselors currently available for counseling must be created. A counselor available for consultation refers to a counselor who is not scheduled to start counseling within at least one hour, and this can be automatically determined through the counselor's reservation information.

In addition, the counselor can display times on the counselor's terminal that the counselor does not want to conduct counseling in addition to the reserved times, and information on this is also collected and displayed.

If information on a counselor available for immediate consultation overlaps with a recommended counselor, a separate highlight is added to the counselor available for immediate consultation, providing information so that the user can select it first.

If the number of counselors available for immediate counseling is 2 or less, an alarm can be sent to the registered counselors and the counselors who respond immediately can be added as counselors available for immediate counseling.

2) Recommended counselor: Recommends the most suitable counselor based on the client's information collected through the client status measurement unit 600 and displays a list of recommended counselors. Using artificial intelligence to match the client's physical and mental information with the counselor's expertise, the most suitable counselors can be recommended to around 5 people.

Referring to Figure 3, artificial intelligence is used to match a client and a counselor based on information used in recommended counseling. The information collected through the client status measuring unit 600 and the counselor's information stored in the database are matched for each row in FIG. 3 using artificial intelligence to recommend about five most suitable counselors. The example in Figure 3 matches a total of 6 items, ranging from age/gender to religion, but not all 6 items are necessary. It mainly matches the client's main complaint, emotional state and severity, and the counselor's main counseling field. The experience of the counselor is important.

There are various reasons why clients want to receive psychological counseling. Each client's main complaint is different, and counselors may also have different main areas of counseling. Ultimately, based on artificial intelligence, it is determined whether the client's main complaint and the counselor's main counseling area are matched. And counselors with extensive counseling experience are more suited to matching clients with serious conditions. Based on artificial intelligence, a suitable counselor is determined by matching the client's emotional state and severity with the counselor's experience.

When multiple counselors are selected when matching with the above two main items used for recommended counseling, the counselor information provision unit 210 provides the counselor's professional counseling subject's age, gender information, religious depth, and counseling format (text, phone, (video, face-to-face), the client's age and gender information is additionally matched with the client's information, and counselors with a higher match are selected and provided to about 5 people. The number of around 5 people here is just an example and can be adjusted.

3) All counselors: This function provides a list of all counselors registered in the system, and is a function provided as standard for user selection.

The counseling reservation unit 220 reserves a time for consultation with a counselor selected by the client from the list of 1) immediate counselors, 2) recommended counselors, and 3) all counselors provided by the counselor information provision section 210, and provides the reserved information. Send text message to client and counselor.

The client status measurement unit 600 collects the client's condition by conducting a basic questionnaire through a chatbot to determine what type of counseling the client wants. The information collected by the client status measurement unit 600 is used for matching recommended counselors by the counselor information provision unit 210. The 'client's emotional state and severity' described in Figure 3 is automatically determined according to the analysis results when the client state measurement unit 600 analyzes the information collected through chatbot conversation with the client using an artificial intelligence emotion analysis engine. .

Referring to Figure 4, it shows an example of words representing the client's state extracted by applying the basic questionnaire collected through the chatbot's conversation with the client to an artificial intelligence emotion analysis engine, and shows the emotional category, frequency, and emotion of each word. Indicates the intensity of . The client's emotional state is determined based on the emotional category for each word and calculated based on the median and standard deviation of emotional intensity.

The counselor recommendation unit 700 applies the client's status information collected through the chatbot by the client status measurement unit 600 to an artificial intelligence emotion analysis engine to determine the client's emotional category and emotional intensity (severity) and selects the most appropriate matching unit. Recommend one or more counselors. In other words, the counselor recommendation unit 700 matches the client's physical/mental information (condition information) and the counselor's specialty using artificial intelligence based on the information collected by the client condition measurement unit 600 to select the most suitable counselor. You can recommend more than one person.

The counselor information provision unit 210 provides the counselors recommended by the counselor recommendation unit 700 as a list of recommended counselors.

The AI conversion counseling unit 900 is an optional function selected by the client after the counselor match is decided. When the client selects the AI conversion counseling function, the AI conversion counseling unit 900 modulates the voice and tone of voice of the counselor matched by the counselor matching unit 200 with the AI conversion function and delivers the modulated voice counseling content to the client in real time. Pass it to

Specifically, depending on the client's choice, the counselor's voice can be converted into AI and provided to the client, and the client can receive more comfortable counseling by making the client believe that the other person (counselor) is not a real person. This means that not only the voice of the counselor but also the tone of speech must be modulated through TTS (Text-to-Speech) and STT (Speech-to-Text) to be delivered to the user, and to compensate for the delay in the voice conversion process. To this end, the client was told, ‘Voice conversion by AI…’ Minimize the boredom caused by waiting for clients by providing guidance messages such as '.

The counseling analysis unit 400 includes a text conversion unit 410, a conversation analysis unit 420, and a client emotion analysis unit 430.

The text conversion unit 410 uses an artificial intelligence voice recognition function capable of separating speakers from the voice of the audio file or video file stored in the counseling record unit 300, and converts it into text by distinguishing the content of the consultation between the client and the counselor. For voices in audio files or video files, speakers are separated through deep learning to create recording files for each speaker, and the recording files for each speaker are converted into text scripts. A speaker can be created as a recording file of two or more speakers, and the conversation content for each speaker can be separated using deep learning.

The conversation analysis unit 420 analyzes the total counseling time, conversation time for each client and counselor, number of words spoken, speaking speed, and frequent vocabulary using a machine learning engine for the counseling content converted by the text conversion unit 410.

The client emotion analysis unit 430 applies the client's conversation analyzed by the text analysis unit 420 to an artificial intelligence emotion analysis engine to analyze the client's emotions. The client's emotions can be analyzed in various states such as joy, sadness, disgust, anger, and surprise.

Referring to Figure 5, the client selects a consultation format and proceeds with the consultation as one of chat consultation, phone consultation, video consultation, and face-to-face consultation, and uses an artificial intelligence voice recognition engine to distinguish between the client and the counselor and convert it into text. It extracts counseling content with separate speakers, and uses an artificial intelligence voice recognition engine to automatically identify one counselor among N speakers and the remaining clients. Because counseling is not necessarily done 1:1, it is important not only to distinguish between the counselor and the client, but also to identify multiple clients, distinguish who the main client is, and focus on analyzing the content of that person's conversation. By identifying the counselor and the client and then analyzing the conversation between the counselor and the client using a machine learning engine, it is possible to measure the speech rate, amount of speech, speech rate, vocabulary amount, vocabulary level, and vocabulary frequency for each speaker. The information measured about the client is entered into the counseling report, and the information measured about the counselor is used for recording and evaluation of each counselor. Lastly, the client's emotional state is analyzed using an artificial intelligence emotion analysis engine. As explained with reference to Figure 4, when the client's conversation content is analyzed, the client's emotional state is analyzed into various states such as joy, sadness, disgust, anger, and surprise, and the various emotional states are graphically provided in the counseling report to provide visual information. It is possible to intuitively understand the client's emotional distribution.

The report generation unit 500 includes an emotion graph generation unit 510, a saying recommendation unit 520, and an advice adding unit 530.

The emotional graph generation unit 510 visually provides the client's emotional state analyzed by the counseling analysis unit 400 using a graph. The saying recommendation unit 520 uses an artificial intelligence-based similarity matching method to recommend the saying that is most suitable for the client's emotional state. The advice addition unit 530 receives short advice from the counselor and adds it to the report.

As shown in Figure 5, when the counseling is completed, a counseling report is automatically generated within a short period of time and provided to the client. Figure 6 is a sample of the consultation report provided by the present invention. The counseling report displays the client's emotional state in a graph and includes various information indicating the counseling time, actual conversation time, client's speech time, client's speech rate, vocabulary amount, and the client's emotional state, as well as advice and recommended activity information provided by the counselor. Quotes extracted from the famous saying database are also included.

Specifically, the emotion graph generation unit 510 classifies the client into categories based on the number of words the client speaks and the frequent vocabulary analyzed by the counseling analysis unit 400, counts for each category, and expresses the client's emotional state in a graph and quantification. .

The saying recommendation unit 520 morphologically analyzes sentences expressing the client's emotional state and sayings stored in the saying DB to extract a plurality of first morphemes for the sentence indicating the client's emotional state, and a plurality of second morphemes for the saying. is extracted and based on the first and second morphemes, the quote that is most similar to the sentence expressing the client's emotional state is recommended. Specifically, the saying recommendation unit 520 performs morphological analysis and keyword indexing based on BM25 scoring, then measures the similarity between sentences using SBERT (Sentence-BERT) to recommend the saying that is most similar to the client's emotional state.

The counseling evaluation unit 800 automatically performs a basic evaluation of the counselor's counseling content based on the counseling analysis results. In other words, the Conversation Quality Index (CQI), which represents a quantitative score on the level of counseling skills, can be measured based on the counselor's counseling content and used for counselor training and evaluation. The CQI score is a method of measuring using various information such as speech time, listening level, empathy level, number of questions, speaking speed, and number of vocabulary. In addition to speaking time, listening level, empathy level, number of questions, speaking speed, and number of vocabulary, other factors may be included depending on the system settings. The conversation quality index (CQI) is measured by multiplying the weight of each factor and adding them all together. , By measuring the CQI score with different weights for each element depending on the client's emotional state, it is possible to objectively measure the counselor's counseling content according to the client's emotional situation.

Additionally, clients can leave evaluations of the counselor through reviews and recommendations. Instead of managing the quality of counselors solely based on the user's star rating, the quality of the counselor can be managed based on the CQI score, user reviews, and whether or not they are recommended. From the user reviews, the intensity of positivity/negativity is calculated using artificial intelligence. By calculating, the quality of a counselor's consultation can be comprehensively measured based on three factors (reviews, recommendations, and CQI).

Let us look again at the present invention described so far with reference to FIG. 2.

1) The client undergoes a basic questionnaire using a chatbot to measure the client's condition. However, measuring the client's condition is not a process that must be performed.

2) The client selects the type of counseling desired (chat, phone, video, face-to-face).

3) Recommend a counselor. When a client measures their condition through a chatbot, the optimal counselor is recommended by AI, and the user selects the desired counselor.

4) Once a counselor is selected and matched, the client and counselor are notified of the counseling reservation result.

5) Consultation will be conducted on the reservation date.

6) Record the consultation as an audio or video file.

7) After the counseling is over, the content of the counseling is analyzed, the content of the conversation between the client and the counselor is analyzed, and the emotional state of the client is analyzed.

8) Using the counseling analysis results, a counseling report containing recommended quotes, counselor advice, emotional state graph, and analysis results of the client's counseling content is automatically generated.

9) The counseling report is transmitted to the terminal of the client and counselor.

10) The CQI score is measured by evaluating the counselor’s counseling content based on AI.

11) Clients perform reviews and evaluations (star ratings) of the counselor.

Previously, in psychological counseling, only specific tests were performed and reports or management were performed, but the present invention provides management of the overall counseling through conversation analysis technology using voice recognition for counseling based on actual conversations. It's about a system that can.

Although the present invention has been described in detail with reference to preferred embodiments so far, those skilled in the art to which the present invention pertains can implement the present invention in other specific forms without changing its technical idea or essential features. The embodiments should be understood in all respects as illustrative and not restrictive.

In addition, the scope of the present invention is specified by the claims described later rather than the detailed description above, and all changes or modified forms derived from the meaning and scope of the claims and their equivalent concepts are included in the scope of the present invention. It should be interpreted as

100: Counseling type selection department 200: Counselor matching department
210: Counselor information provision department 220: Counseling reservation department
300: Counseling record 400: Counseling analysis department
410: Text conversion unit 420: Conversation analysis unit
430: Client emotion analysis unit 500: Report generation unit
510: Emotion graph generation unit 520: Quote recommendation unit
530: Advice addition unit 600: Client status measurement unit
700: Counselor Recommendation Department 900: AI Transformation Counseling Department

Claims (8)

A counseling type selection unit that allows the client to select a counseling type among chat counseling, phone counseling, video counseling, and face-to-face counseling;
Counselor matching department that matches clients and counselors;
A consultation record that stores the contents of the consultation after matching with a counselor as an audio file or video file;
A counseling analysis unit that converts the voice extracted from the audio file or video file stored in the counseling record into text, distinguishes between the client and the counselor for the counseling content converted into text, and analyzes the client's emotions; and
An online psychological counseling system using voice recognition that includes a report generation unit that visually provides the client's emotional state analyzed by the counseling analysis unit using a graph and recommends a quote suitable for the client's emotional state.
In claim 1,
The counselor matching department,
A counselor information provision unit that provides a list of counselors who can provide counseling immediately (1), a list of recommended counselors suitable for the client based on information measuring the client's condition (2), and a list of all counselors registered in the system (3); and
An online consultation reservation unit that uses voice recognition to reserve a time for consultation with a counselor selected by the client from the list of counselors provided by the counselor information provision department, and to send the reserved information via text message to the client and the counselor. Psychological counseling system.
In claim 2,
A client status measurement unit that collects the client's condition by conducting a basic questionnaire through a chatbot to determine what type of counseling the client wants; and
It further includes a counselor recommendation unit that recommends one or more most suitable counselors by matching the client's condition information collected by the client condition measurement unit with the counselor's specialty area using artificial intelligence,
An online psychological counseling system using voice recognition, wherein the counselor information provision unit provides counselors recommended by the counselor recommendation unit as a list of recommended counselors (2).
In claim 1,
An AI conversion counseling unit that modulates the voice and tone of speech of the counselor matched by the counselor matching unit according to the client's selection with an AI conversion function and delivers the modulated voice counseling content to the client in real time. An online psychological counseling system using voice recognition.
In claim 1,
The counseling and analysis department,
A text conversion unit that separates the contents of the consultation between the client and the counselor and converts them into text using an artificial intelligence voice recognition function capable of separating speakers from the voice of the audio file or video file stored in the consultation record;
A conversation analysis unit that analyzes the total counseling time, conversation time for each client and counselor, number of words spoken, speaking speed, and frequent vocabulary for the counseling content converted by the text conversion unit; and
An online psychological counseling system using voice recognition, comprising a client emotion analysis unit that analyzes the client's emotions based on the client's conversation analyzed by the text analysis unit.
In claim 1,
The report generation unit,
An emotional graph generation unit that visually provides the client's emotional state analyzed by the counseling analysis unit using a graph;
A quote recommendation unit that recommends the most appropriate quote to the client's emotional state using an artificial intelligence-based similarity matching method; and
An online psychological counseling system using voice recognition that includes an advice addition section that receives advice from a counselor and adds it to the report.
In claim 6,
The emotion graph generator,
An online psychological counseling system using voice recognition that classifies the client into categories based on the number of words the client speaks and the frequent vocabulary analyzed by the counseling analysis department, counts for each category, and expresses the client's emotional state in graphs and numbers.
In claim 6,
The saying recommendation unit morphologically analyzes sentences expressing the client's emotional state and sayings stored in the saying database, extracts a plurality of first morphemes for sentences expressing the client's emotional state, and extracts a plurality of second morphemes for the saying. An online psychological counseling system using voice recognition that recommends a quote that is most similar to a sentence expressing the client's emotional state based on the first and second morphemes.