CN111938674A - Emotion recognition control system for conversation - Google Patents
Emotion recognition control system for conversation Download PDFInfo
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- 230000008909 emotion recognition Effects 0.000 title claims abstract description 24
- 238000004458 analytical method Methods 0.000 claims abstract description 39
- 238000001914 filtration Methods 0.000 claims abstract description 20
- 230000008451 emotion Effects 0.000 claims description 31
- 238000006243 chemical reaction Methods 0.000 claims description 11
- 238000012986 modification Methods 0.000 claims description 2
- 230000004048 modification Effects 0.000 claims description 2
- 238000000605 extraction Methods 0.000 abstract 1
- 238000010586 diagram Methods 0.000 description 7
- 230000007774 longterm Effects 0.000 description 4
- 230000036651 mood Effects 0.000 description 3
- 206010013954 Dysphoria Diseases 0.000 description 1
- 206010027940 Mood altered Diseases 0.000 description 1
- 208000027418 Wounds and injury Diseases 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000000052 comparative effect Effects 0.000 description 1
- 230000006378 damage Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000002996 emotional effect Effects 0.000 description 1
- 230000008921 facial expression Effects 0.000 description 1
- 208000014674 injury Diseases 0.000 description 1
- 230000007510 mood change Effects 0.000 description 1
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
- A61B5/165—Evaluating the state of mind, e.g. depression, anxiety
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4803—Speech analysis specially adapted for diagnostic purposes
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7246—Details of waveform analysis using correlation, e.g. template matching or determination of similarity
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/742—Details of notification to user or communication with user or patient ; user input means using visual displays
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/7465—Arrangements for interactive communication between patient and care services, e.g. by using a telephone network
Abstract
The invention discloses a dialogue emotion recognition control system, which comprises a login module, a receiving module, a recognition analysis module, a comparison module, a prompt module and a storage module, wherein the login module is respectively connected with the receiving module and the storage module, the recognition analysis module is respectively connected with the receiving module and the recognition analysis module, the comparison module is respectively connected with the storage module, the recognition analysis module and the prompt module, the receiving module comprises an audio receiving module, a video receiving module, a noise filtering module and an audio extraction module, the audio receiving module and the video receiving module are both connected with the noise filtering module, the invention receives user dialogues by utilizing two modes of real-time receiving and file receiving, is convenient for users to use real-time dialogues and recorded dialogues and filters dialogue noise, the identification is clearer, and the user can use the device more conveniently.
Description
Technical Field
The invention relates to the technical field of emotion recognition, in particular to a dialogue emotion recognition control system.
Background
The emotion recognition originally refers to recognition of an individual to the emotion of other people, the AI automatically distinguishes the emotion state of the individual by acquiring physiological or non-physiological signals of the individual and is an important component of emotion calculation, and the emotion recognition research content comprises the aspects of facial expression, voice, heart rate, behavior, text, physiological signal recognition and the like, and the emotion state of a user is judged through the content;
however, the currently used conversation emotion recognition control system can only compare and analyze the current conversation emotion of the user, and the repeated conversations of the same user cannot comprehensively compare and analyze the emotion, so that the user cannot well know the long-term emotion condition of the user.
Disclosure of Invention
The invention provides a dialogue emotion recognition control system, which can effectively solve the problem that the currently used dialogue emotion recognition control system only can compare and analyze the emotion of the current dialogue of a user, and the emotion comparison and analysis can not be comprehensively performed by multiple dialogues of the same user, so that the user can not well know the long-term emotion condition.
In order to achieve the purpose, the invention provides the following technical scheme: a dialogue emotion recognition control system comprises a login module, a receiving module, a recognition analysis module, a comparison module, a prompt module and a storage module;
the login module is respectively connected with the receiving module and the storage module, the recognition analysis module is respectively connected with the receiving module and the recognition analysis module, and the comparison module is respectively connected with the storage module, the recognition analysis module and the prompt module.
Preferably, the receiving module comprises an audio receiving module, a video receiving module, a noise filtering module and an audio extracting module;
the audio receiving module and the video receiving module are both connected with the noise filtering module, and the audio extracting module is connected with the noise filtering module.
Preferably, the identification and analysis module comprises an identification module, a rough classification module, a fine classification module, a result output module and a classification comparison module;
the rough classification module is respectively connected with the identification module and the fine classification module, the rough classification module and the fine classification module are both connected with the classification comparison module, and the result output module is connected with the fine classification module.
Preferably, the comparison module comprises a result input module, a record comparison module, an audio output module and a prompt output module;
the result input module, the record input module, the audio output module and the prompt output module are all connected with the record comparison module.
Preferably, the display module comprises an audio playing module, a character conversion module, a prompt matching module and a display screen;
the audio playing module is connected with the character conversion module, and the audio playing module, the character conversion module and the display screen are all connected with the prompt matching module.
Preferably, the storage module comprises a login storage module, a storage classification module, a key module and a classification identification module;
the login storage module, the storage classification module and the classification identification module are all connected with the key module.
Preferably, the emotion recognition control system comprises the following operation steps:
s1, firstly, inputting a user name and a password to log in the system through a login module;
s2, receiving input audio and video through a receiving module and filtering out noise;
s3, classifying and identifying the emotion of the user conversation through an identification and analysis module;
s4, comparing, analyzing and storing the multiple dialogue records of the user through a comparison module;
and S5, finally, displaying the emotion analysis result in real time through the display module.
Preferably, in S2, the audio receiving module and the video receiving module receive the audio and video files, and filter out the noise through the noise filtering module, and then extract the audio in the video file through the audio extracting module, and finally transmit the received audio to the recognition and analysis module;
in the step S3, the recognition module receives the audio file processed by the receiving module for recognition, performs coarse comparison and classification by the coarse classification module and the classification comparison module, performs fine classification by the fine classification module after the coarse classification, and transmits the classification result to the comparison module by the result output module.
Preferably, in S4, the result input module receives the result output from the recognition and analysis module, and recognizes the user audio file through the classification and recognition module in the storage module to retrieve the user usage record, analyzes and compares the record with the current audio file to give a prompt and correct suggestion, and then respectively transmits the audio file and the prompt to the storage module and the display module;
and the audio files, the classification results and the prompt correction opinions received by the storage module enter the storage classification module for classified storage.
Preferably, in S5, the audio playing module plays the received audio file, converts the audio file into text in real time, adds the finely classified emotion types, and finally displays the text, the emotion types, and the prompt correction opinions on the display screen.
Compared with the prior art, the invention has the beneficial effects that:
1. through setting up video receiving module and audio receiving module, utilize real-time reception and record file and receive two kinds of modes and receive the user's dialogue, convenience of customers real-time dialogue and record the dialogue and use, and will talk the noise filtering, discern more clearly, it is more convenient that the user uses.
2. Through setting up rough classification module, subdivision module and categorised contrast module, compare audio and video file and categorised contrast module, advance the emotion rough classification, carry out the fine classification of emotion again, make the classification of emotion more orderly meticulous, make system operation more smooth and easy, the structure is more accurate.
3. Through setting up the record contrast module, the user can carry out contrastive analysis with the audio and video file before oneself with this time of input to carry out solitary classification and save, can carry out the analysis to the long-term conversation mood change condition of oneself, and provide reasonable suggestion, be convenient for analyze oneself mood fluctuation condition.
4. Through setting up audio playback module, word conversion module and suggestion cooperation module, carry out the word conversion to this conversation in real time to real-time analysis shows the mood, and convenience of customers looks over the discernment detection condition of conversation mood.
5. Through setting up key module and storage classification module, carry out the individual storage to different users, guarantee mutual noninterference between the different users, and the load that data processing can be reduced in the analysis of the calling of single user data, avoid the system to operate the difficulty, provide good operational environment for the system.
In conclusion, through the recognition analysis and the classified storage of the current conversation and all conversations, the emotional conversation is more comprehensively analyzed, the emotion of the current conversation of the user can be contrastively analyzed, and the emotion of multiple conversations of the same user cannot be contrastively analyzed, so that the user cannot well know the long-term emotion condition.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.
In the drawings:
FIG. 1 is a schematic diagram of the system architecture of the present invention;
FIG. 2 is a schematic diagram of a receiving module according to the present invention;
FIG. 3 is a schematic diagram of a recognition analysis module according to the present invention;
FIG. 4 is a schematic diagram of a comparative module configuration of the present invention;
FIG. 5 is a schematic diagram of a display module according to the present invention;
FIG. 6 is a schematic diagram of the memory module structure of the present invention;
FIG. 7 is a schematic diagram of the operation steps of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Example (b): as shown in fig. 1 to 7, the present invention provides a technical solution, a conversational emotion recognition control system, which includes a login module, a receiving module, a recognition analysis module, a comparison module, a prompt module, and a storage module;
the login module is respectively connected with the receiving module and the storage module, the recognition analysis module is respectively connected with the receiving module and the recognition analysis module, and the comparison module is respectively connected with the storage module, the recognition analysis module and the prompt module.
The receiving module comprises an audio receiving module, a video receiving module, a noise filtering module and an audio extracting module;
the audio receiving module and the video receiving module are both connected with the noise filtering module, and the audio extracting module is connected with the noise filtering module.
The identification and analysis module comprises an identification module, a rough classification module, a fine classification module, a result output module and a classification comparison module;
the rough classification module is respectively connected with the identification module and the fine classification module, the rough classification module and the fine classification module are both connected with the classification comparison module, and the result output module is connected with the fine classification module;
the classification comparison module comprises a coarse classification item and a fine classification item, wherein the coarse classification item is as follows: happiness, anger, fear and sadness;
the fine classification items are:
and (3) happy: pleasure, excitement, and enthusiasm;
anger: dysphoria, anger and anger;
fear: fear, panic, thriller;
sadness: feelings of injury, sadness, and sadness.
The comparison module comprises a result input module, a record comparison module, an audio output module and a prompt output module;
the result input module, the record input module, the audio output module and the prompt output module are all connected with the record comparison module.
The display module comprises an audio playing module, a character conversion module, a prompt matching module and a display screen;
the audio playing module is connected with the character conversion module, and the audio playing module, the character conversion module and the display screen are all connected with the prompt matching module.
The storage module comprises a login storage module, a storage classification module, a key module and a classification identification module;
the login storage module, the storage classification module and the classification identification module are all connected with the key module.
The operation steps of the emotion recognition control system are as follows:
s1, firstly, inputting a user name and a password to log in the system through a login module;
s2, receiving input audio and video through a receiving module and filtering out noise;
the receiving module is provided with two receiving modes of real-time receiving and file recording receiving, the receiving mode is selected after logging in the system, the audio receiving module and the video receiving module receive audio and video files, noise filtering is carried out through the noise filtering module, the audio in the video files is extracted through the audio extracting module, and finally the received and processed audio is transmitted to the recognition and analysis module;
s3, classifying and identifying the emotion of the user conversation through an identification and analysis module;
the recognition module receives the audio files processed by the receiving module for recognition, performs contrast coarse classification through the coarse classification module and the classification contrast module, performs fine classification through the fine classification module after coarse classification, and transmits a classification result to the comparison module through the result output module;
s4, comparing, analyzing and storing the multiple dialogue records of the user through a comparison module;
the result input module receives the result output by the identification and analysis module, identifies the user audio file through the classification and identification module in the storage module to retrieve the user use record, analyzes and compares the record with the current audio file to give a prompt and correct suggestion, and then respectively transmits the audio file and the prompt to the storage module and the display module;
the audio files, the classification results and the prompt correction opinions received by the storage module enter the storage classification module for classified storage;
s5, finally, displaying the emotion analysis result in real time through a display module;
the audio playing module plays the received audio file, converts the audio file into characters in real time, adds the finely classified emotion types, and finally displays the characters, the emotion types and the prompt correction opinions on a display screen;
the emotion result comprises emotion analysis conditions of the current conversation and emotion analysis conditions of all conversations.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A system for emotion recognition control of a conversation, characterized by: the system comprises a login module, a receiving module, an identification and analysis module, a comparison module, a prompt module and a storage module;
the login module is respectively connected with the receiving module and the storage module, the recognition analysis module is respectively connected with the receiving module and the recognition analysis module, and the comparison module is respectively connected with the storage module, the recognition analysis module and the prompt module.
2. The emotion recognition control system of a conversation, according to claim 1, wherein the receiving module includes an audio receiving module, a video receiving module, a noise filtering module, and an audio extracting module;
the audio receiving module and the video receiving module are both connected with the noise filtering module, and the audio extracting module is connected with the noise filtering module.
3. The emotion recognition control system of a conversation, according to claim 1, wherein the recognition analysis module includes a recognition module, a rough classification module, a fine classification module, a result output module, and a classification comparison module;
the rough classification module is respectively connected with the identification module and the fine classification module, the rough classification module and the fine classification module are both connected with the classification comparison module, and the result output module is connected with the fine classification module.
4. The emotion recognition control system of a conversation, according to claim 1, wherein the comparison module includes a result input module, a record comparison module, an audio output module, and a prompt output module;
the result input module, the record input module, the audio output module and the prompt output module are all connected with the record comparison module.
5. The emotion recognition control system of a conversation, according to claim 1, wherein the display module includes an audio playing module, a text conversion module, a prompt matching module, and a display screen;
the audio playing module is connected with the character conversion module, and the audio playing module, the character conversion module and the display screen are all connected with the prompt matching module.
6. The emotion recognition control system of a conversation, according to claim 1, wherein the storage module includes a login storage module, a storage classification module, a key module, and a classification recognition module;
the login storage module, the storage classification module and the classification identification module are all connected with the key module.
7. A dialogue emotion recognition control system according to claim 1, wherein the emotion recognition control system operates as follows:
s1, firstly, inputting a user name and a password to log in the system through a login module;
s2, receiving input audio and video through a receiving module and filtering out noise;
s3, classifying and identifying the emotion of the user conversation through an identification and analysis module;
s4, comparing, analyzing and storing the multiple dialogue records of the user through a comparison module;
and S5, finally, displaying the emotion analysis result in real time through the display module.
8. The system of claim 7, wherein in S2, the audio receiving module and the video receiving module receive audio and video files, and perform noise filtering through the noise filtering module, and then extract the audio in the video file through the audio extracting module, and finally transmit the received audio to the recognition and analysis module;
in the step S3, the recognition module receives the audio file processed by the receiving module for recognition, performs coarse comparison and classification by the coarse classification module and the classification comparison module, performs fine classification by the fine classification module after the coarse classification, and transmits the classification result to the comparison module by the result output module.
9. The emotion recognition control system of claim 7, wherein in S4, the result input module receives the result outputted from the recognition and analysis module, and recognizes the user 'S audio file through the classification and recognition module in the storage module to retrieve the user' S usage record, and analyzes and compares the record with the current audio file to give a prompt and correct suggestion, and then transmits the audio file and the prompt to the storage module and the display module, respectively;
and the audio files, the classification results and the prompt correction opinions received by the storage module enter the storage classification module for classified storage.
10. The emotion recognition control system of claim 7, wherein in S5, the audio playing module plays the received audio file, converts the audio file into text in real time, adds the subdivided emotion classifications, and finally displays the text, the emotion classifications, and the prompt modification opinions on the display screen.
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Application publication date: 20201117 |