CN105244023A - System and method for reminding teacher emotion in classroom teaching - Google Patents
System and method for reminding teacher emotion in classroom teaching Download PDFInfo
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- CN105244023A CN105244023A CN201510759467.9A CN201510759467A CN105244023A CN 105244023 A CN105244023 A CN 105244023A CN 201510759467 A CN201510759467 A CN 201510759467A CN 105244023 A CN105244023 A CN 105244023A
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Abstract
The invention relates to a system and a method for reminding teacher emotion in classroom teaching. The system comprises a sound acquisition module, a voice recognition module, an emotion classification module and an emotion reminding module, wherein the sound acquisition module is used for acquiring voice of a teacher during the teaching process in real time and forming voice information; the voice recognition module is used for performing voice recognition on the voice information, and judging whether the voice information contains set emotional words so as to obtain voice recognition results; the emotion classification module is used for performing emotion classification on the voice information to obtain emotion classification results, and conducting confidence coefficient grading on the obtained emotion classification results; and the emotion reminding module is used for conducting emotion reminding according to the voice recognition results and the emotion classification results. The system and the method adopt combined voice recognition and emotion classification for judging emotions of the teacher during the teaching process, increase accuracy rate of emotion judgment, help the teacher to conduct emotional control effectively in classroom, and protect physical and psychological health of students while increasing teaching quality.
Description
Technical field
The present invention relates to field of speech recognition, refer in particular to system for prompting and the method for a kind of classroom teaching teacher morale.
Background technology
Existing voice technology not only can identify text message, can also differentiate the mood of speaker, and in practical application scene, and the application for mood classification is not also very extensive.
The psychological condition of teacher on classroom affects the quality of education of each class, and efficiency of teaching has direct relation, and words and too drastic mood even can cause bad impact to the physical and mental health of student improperly.Existing teaching equipment and means are difficult to when teacher morale is out of control effectively monitor it and point out.
Summary of the invention
The object of the invention is to the defect overcoming prior art, system for prompting and the method for a kind of classroom teaching teacher morale are provided, solve the problem that existing teaching equipment and means are difficult to when teacher morale is out of control effectively monitor it and point out.
The technical scheme realizing above-mentioned purpose is:
The based reminding method of a kind of classroom teaching teacher morale of the present invention, comprising:
The voice of Real-time Obtaining teacher in teaching process, form voice messaging;
Speech recognition is carried out to described voice messaging, judges that the mood vocabulary whether comprising setting in described voice messaging is to draw voice identification result;
Mood classification is carried out to draw mood classification results to described voice messaging, and confidence score is carried out to described mood classification results; And
Mood prompting is carried out according to institute's speech recognition result and described confidence score.
The present invention adopts speech recognition and mood classification to combine to judge the mood of teacher in the process of giving lessons; improve the accuracy rate of emotion judgment; help teacher effectively to carry out emotion control on classroom, while improving the quality of teaching, also protect the physical and mental health of student.
The further improvement of the based reminding method of classroom teaching teacher morale of the present invention is, carries out speech recognition to described voice messaging, judges that the mood vocabulary whether comprising setting in described voice messaging is to show that voice identification result comprises:
Preset the text library comprising multiple mood vocabulary;
Described voice messaging is converted into text message;
Semantic analysis is carried out to described text message and obtains the multiple specific vocabulary that described text message comprises;
Described specific vocabulary and the described mood vocabulary in the described text library preset are carried out comparison one by one, if described specific vocabulary is identical with arbitrary described mood vocabulary, then judges to show that described voice messaging comprises the voice identification result of mood vocabulary; If described specific vocabulary is different from described mood vocabulary, then judge to draw the voice identification result not comprising mood vocabulary in described voice messaging.
The further improvement of the based reminding method of classroom teaching teacher morale of the present invention is, carries out mood classification to draw mood classification results, comprising described voice messaging:
Mood is divided into angry mood and exciting mood, and setting angry parameter threshold and parameter for agonist threshold value for described angry mood and described exciting mood, wherein said angry parameter threshold and described parameter for agonist threshold value include sound pitch parameter threshold, word speed parameter threshold and volume parameter threshold;
The tone in described voice messaging is analyzed, obtains the sound pitch parameter in described voice messaging, word speed parameter and volume parameter;
Sound pitch parameter threshold, word speed parameter threshold and volume parameter threshold corresponding in the described angry parameter threshold of described sound pitch parameter, word speed parameter and volume parameter and setting and described parameter for agonist threshold value are compared, judges to draw whether described voice messaging belongs to described angry mood or described exciting mood to draw corresponding mood classification results.
The further improvement of the based reminding method of classroom teaching teacher morale of the present invention is, carries out confidence score, comprising described mood classification results:
For sound pitch parameter, word speed parameter and volume parameter set standards of grading respectively;
Standards of grading according to setting are marked respectively to the sound pitch parameter in described voice messaging, word speed parameter and volume parameter, draw corresponding appraisal result;
The confidence score of described mood classification results is comprehensively drawn again according to the appraisal result of described sound pitch parameter, word speed parameter and volume parameter.
The further improvement of the based reminding method of classroom teaching teacher morale of the present invention is, mood prompting is carried out according to institute's speech recognition result and described confidence score, comprise: when institute's speech recognition result comprises described mood vocabulary, and described confidence score is when being angry ' mood scores and being more than or equal to setting value, mood prompting is carried out by being lighted by the red led at dais place, and by campus network by described angry mood notice Educational Affairs Office;
When institute's speech recognition result comprises described mood vocabulary, and when described confidence score is exciting ' mood scores and is more than or equal to setting value, carry out mood prompting by being lighted by the yellow indicator lamp at dais place;
When institute's speech recognition result comprises described mood vocabulary, and when described confidence score is less than setting value, carry out mood prompting by being lighted by the yellow indicator lamp at dais place.
Present invention also offers the system for prompting of a kind of classroom teaching teacher morale, comprising:
Sound acquisition module, forms voice messaging for the voice of Real-time Obtaining teacher in teaching process;
The sound identification module be connected with described sound acquisition module, for carrying out speech recognition to described voice messaging, and judges that the mood vocabulary whether comprising setting in described voice messaging is to draw voice identification result;
The mood sort module be connected with described sound acquisition module, for carrying out mood classification to described voice messaging to draw mood classification results, and carries out confidence score to drawn mood classification results; And
The mood prompting module be connected with described sound identification module and described mood sort module, for carrying out mood prompting according to institute's speech recognition result and described confidence score.
The further improvement of the system for prompting of classroom teaching teacher morale of the present invention is, described sound identification module is located at server end, be connected with described sound acquisition module by the network communication module of described server end, and receive the described voice messaging of described sound acquisition module transmission;
Described sound identification module comprises text library submodule, text transformant module, semantic analysis submodule and phonetic decision submodule;
Described text library submodule is for storing multiple default mood vocabulary;
Described text transformant module is connected with described network communication module, for described voice messaging being converted into corresponding text message;
Described semantic analysis submodule and described text transformant model calling, for extracting specific vocabulary included in described text message;
Described phonetic decision submodule is connected with described text library submodule and described semantic analysis submodule, for carrying out comparison one by one to the described mood vocabulary stored in described specific vocabulary and described text library submodule, to draw the voice identification result whether comprising mood vocabulary in described voice messaging.
The further improvement of the system for prompting of classroom teaching teacher morale of the present invention is, described mood sort module is located at server end, be connected with described sound acquisition module by the network communication module of described server end, and receive the described voice messaging of described sound acquisition module transmission;
Described mood sort module comprises parameter extraction submodule, parameter threshold submodule and emotion judgment submodule;
Described parameter extraction submodule is connected with described network communication module, for carrying out tone analysis to described voice messaging, analyzing and drawing sound pitch parameter, word speed parameter and volume parameter from described voice messaging;
Described parameter threshold submodule, for storing angry parameter threshold and the parameter for agonist threshold value of setting, wherein said angry parameter threshold and described parameter for agonist threshold value include sound pitch parameter threshold, word speed parameter threshold and volume parameter threshold;
Described emotion judgment submodule is connected with described parameter extraction submodule and described parameter threshold submodule, for sound pitch parameter threshold, word speed parameter threshold and volume parameter threshold corresponding in the described angry parameter threshold of the sound pitch parameter in described voice messaging, word speed parameter and volume parameter and setting and described parameter for agonist threshold value are compared, to judge to show whether described voice messaging belongs to described angry mood or described exciting mood.
The further improvement of the system for prompting of classroom teaching teacher morale of the present invention is, described mood sort module also comprises confidence score submodule, described confidence score submodule is connected with described parameter extraction submodule, for marking respectively to the sound pitch parameter in described voice messaging, word speed parameter and volume parameter, to draw corresponding appraisal result; And for comprehensively drawing the confidence score of described mood classification results according to the appraisal result of described sound pitch parameter, word speed parameter and volume parameter.
The further improvement of the system for prompting of classroom teaching teacher morale of the present invention is, the prompting process submodule that described mood prompting module comprises pilot lamp submodule and is connected with described pilot lamp submodule;
Described process submodule of reminding is used for forming corresponding prompting instruction according to institute's speech recognition result and described confidence score, comprise: when institute's speech recognition result comprises described mood vocabulary, and described confidence score is when being angry ' mood scores and being more than or equal to setting value, form red prompting instruction, light red led and light for controlling described pilot lamp submodule and carry out mood prompting, also for notifying Educational Affairs Office by campus network;
When institute's speech recognition result comprises described mood vocabulary, and when described confidence score is exciting ' mood scores and is more than or equal to setting value, formed and yellow remind instruction, light yellow indicator lamp and light for controlling described pilot lamp submodule and carry out mood prompting;
When institute's speech recognition result comprises described mood vocabulary, and when described confidence score is less than setting value, being formed and yellow remind instruction, lighting that yellow indicator lamp is bright carries out mood prompting for controlling described pilot lamp submodule.
Accompanying drawing explanation
Fig. 1 is the system diagram of the system for prompting of classroom teaching teacher morale of the present invention.
Fig. 2 is the structured flowchart of sound identification module in the system for prompting of classroom teaching teacher morale of the present invention.
Fig. 3 is the structured flowchart of mood sort module in the system for prompting of classroom teaching teacher morale of the present invention.
Fig. 4 is the process flow diagram of the based reminding method of classroom teaching teacher morale of the present invention.
Embodiment
Below in conjunction with the drawings and specific embodiments, the invention will be further described.
The invention provides system for prompting and the method for a kind of classroom teaching teacher morale, based on speech recognition and mood sorting technique, on classroom, effectively emotion control is carried out for helping teacher, when serving as a teacher situation about losing one's temper on classroom, alarm to be got involved by Educational Affairs Office in time effectively.Mood classification employing two classification in the present invention, is divided into indignation and excitement, improves the accuracy rate of emotion judgment, carry out speech recognition in conjunction with speech recognition, increase accuracy and the validity of emotion judgment by mood.Mood sorting technique is applied to classroom backup system, points out and prevent the too drastic voice in class-teaching of teacher process, effectively ensureing quality of instruction, also protect the physical and mental health of student simultaneously.Below in conjunction with accompanying drawing, the system for prompting of classroom teaching teacher morale of the present invention and method are described.
Consult Fig. 1, show the system diagram of the system for prompting of classroom teaching teacher morale of the present invention.Below in conjunction with Fig. 1, the system for prompting of classroom teaching teacher morale of the present invention is described.
As shown in Figure 1, the system for prompting of classroom teaching teacher morale of the present invention comprises classroom client 10, server end 20 and Educational Affairs Office client 30, this classroom client 10 comprises sound acquisition module 101, voice amplification module 102, analog-to-digital conversion module 103, network communication module 104 and mood prompting module 105, this server end 20 comprises network communication module 201, sound identification module 202 and mood sort module 203, and this Educational Affairs Office client 30 comprises network communication module 301 and teaching management module 302.Communicate to connect between the network communication module 104 of classroom client 10 and the network communication module 201 of server end 20, communicate to connect between the network communication module 104 of classroom client 10 and the network communication module 301 of Educational Affairs Office client 30, communicated by network communication module between classroom client 10, server end 20 and Educational Affairs Office client 30.
Sound acquisition module 101 in classroom client 10 is for being arranged on the shotgun microphone on dais, and form voice messaging by the voice of shotgun microphone Real-time Obtaining teacher in teaching process, this voice messaging is simulating signal.Voice amplification module 102 is connected with sound acquisition module 101, and amplified by the voice messaging gathered by voice amplification module 102, this voice amplification module 102 is note amplifier, obtains voice more clearly after being amplified by voice messaging.Analog-to-digital conversion module 103 is connected with voice amplification module 102, carrying out analog to digital conversion, being converted into digital signal to the voice messaging through amplifying.Analog-to-digital conversion module 103 is connected with network communication module 104, and the voice messaging converting digital signal through analog-to-digital conversion module 103 to is issued to server end 20 by network communication module 104.
The network communication module 201 at this server end 20 place receives the voice messaging in digital signal, network communication module 201 is connected with sound identification module 202 and mood sort module 203, and the voice messaging of reception sends to sound identification module 202 and mood sort module 203 to process by this network communication module 201.
Shown in composition graphs 2, sound identification module 202 comprises text transformant module 2021, semantic analysis submodule 2022, phonetic decision submodule 2024 and text library submodule 2023.The voice messaging that this sound identification module 202 pairs of sound acquisition module 101 obtain carry out speech recognition and the mood vocabulary judging whether to comprise in this voice messaging setting to draw voice identification result, this speech recognition results has two kinds, be the mood vocabulary that voice messaging comprises setting, another kind is the mood vocabulary not comprising setting in voice messaging.Particularly, text transformant module 2021 is connected with network communication module 201, the voice messaging of reception is sent to text transformant module 2021 by this network communication module 201, and text transformant module 2021 is for being converted into corresponding text message by the voice messaging of reception.Semantic analysis submodule 2022 is connected with text transformant module 2021, and this semantic analysis submodule 2022, for extracting specific vocabulary included in text message, realizes the semantic understanding to text message.Phonetic decision submodule 2024 is connected with semantic analysis submodule 2022 and text library submodule 2023, phonetic decision submodule 2024 receives the specific vocabulary that semantic analysis submodule 2022 extracts, multiple default mood vocabulary is stored in text library submodule 2023, include common dirty word, the aggressive vocabulary such as coarse language, phonetic decision submodule 2024 is for carrying out comparison one by one by all mood vocabulary stored in specific vocabulary and text library submodule 2023, if find specific vocabulary and wherein arbitrary mood vocabulary is identical, then show that voice messaging comprises the voice identification result of mood vocabulary, if find, specific vocabulary does not all have corresponding with all mood vocabulary, then draw the voice identification result not comprising mood vocabulary in voice messaging.This phonetic decision submodule 2024 is connected with network communication module 201, is sent out by voice identification result by network communication module 201.
Shown in composition graphs 3, mood sort module 203 comprises parameter extraction submodule 2031, emotion judgment submodule 2032, parameter threshold submodule 2033 and confidence score submodule 2034.This mood sort module 203 carries out mood classification to draw mood classification results for the voice messaging gathered sound acquisition module 101, and carries out confidence score to the mood classification results that this draws.Particularly, parameter extraction submodule 2031 is connected with network communication module 201, the voice messaging of reception is sent to parameter extraction submodule 2031 by this network communication module 201, this parameter extraction submodule 2031 pairs of voice messagings carry out tone analysis, analyze and draw sound pitch parameter, word speed parameter and volume parameter from voice messaging.Emotion judgment submodule 2032 is connected with parameter extraction submodule 2031 and parameter threshold submodule 2033, angry parameter threshold and the parameter for agonist threshold value of setting is stored in parameter threshold submodule 2033, in mood sort module of the present invention, two classes are divided into mood, one class is angry mood, another kind of is exciting mood, the system for prompting of classroom teaching teacher morale of the present invention is only reminded these two kinds of moods, and other moods do not process.Angry parameter threshold in parameter threshold submodule 2033 and parameter for agonist threshold value include sound pitch parameter threshold, word speed parameter threshold and volume parameter threshold, angry parameter threshold is wherein the minimum value of sound pitch parameter, word speed parameter and volume parameter when being in angry mood, and parameter for agonist threshold value is the value range of sound pitch parameter, word speed parameter and volume parameter when being in exciting mood.Emotion judgment submodule 2032 obtains the sound pitch parameter in voice messaging from parameter extraction submodule 2031, word speed parameter, and volume parameter, by sound pitch parameter, word speed parameter, and corresponding sound pitch parameter threshold in the angry parameter threshold of volume parameter and setting and parameter for agonist threshold value, word speed parameter threshold, and volume parameter threshold compares, judge whether this voice messaging belongs to angry mood or exciting mood, when the sound pitch parameter in voice messaging, word speed parameter, and the numerical value of volume parameter is in parameter for agonist threshold value, then be judged to be exciting mood, when the sound pitch parameter in voice messaging, word speed parameter, and the numerical value of volume parameter is more than or equal to angry parameter threshold, then be judged to be angry mood, when the sound pitch parameter in voice messaging, word speed parameter, and the numerical value of volume parameter is less than parameter for agonist threshold value, then judge that voice messaging does not belong to angry mood and exciting mood, mood is now gentle state.Confidence score submodule 2034 is connected with parameter extraction submodule 2031 and emotion judgment submodule 2032, this confidence score submodule 2034 is for the sound pitch parameter in voice messaging, word speed parameter, and volume parameter is marked respectively, to draw the appraisal result of corresponding mood classification results, standards of grading are stored in confidence score submodule 2034, sound pitch parameter is drawn respectively according to these standards of grading, word speed parameter, and the appraisal result of volume parameter, again by sound pitch parameter, word speed parameter, and the appraisal result of volume parameter comprehensively draws the confidence score of mood classification results, namely confidence score includes mood classification results and score value, this confidence score is mood classification results probability accurately, confidence score in the present invention includes angry ' mood scores, exciting ' mood scores, and gentle ' mood scores.Preferably, the appraisal result of confidence score is divided into 1 ~ 10, the corresponding threshold range of appraisal result 1 ~ 10, and which threshold range is the parameter values obtained fall into and just draw corresponding appraisal result, finally on average drawing confidence score to three appraisal result.This mood sort module 203 is connected with network communication module 201, is sent by the confidence score drawn by network communication module 201.
As shown in Figure 1, the mood prompting module 105 at classroom client 10 place is connected with network communication module 104, the voice identification result sent by network communication module 104 reception server end 20 and confidence score, mood prompting module 105 is for carrying out mood prompting according to voice identification result and confidence score.At the prompting process submodule that mood prompting module 105 comprises pilot lamp submodule and is connected with pilot lamp submodule, this pilot lamp submodule is the pilot lamp being located at dais place, reminds for the pilot lamp lighting different colours.This prompting process submodule is used for root voice identification result and confidence score forms corresponding prompting instruction, comprise: when voice identification result comprises mood vocabulary, and confidence score is when being angry ' mood scores and being more than or equal to setting value, form red prompting instruction, control pilot lamp submodule lights red led and carries out mood prompting, this redness reminds instruction also to be sent to the network communication module 301 at Educational Affairs Office client 30 place by network communication module 104, the teaching management module 302 be connected with network communication module 301 reminds the Director of Teaching in instruction notification Educational Affairs Office to pay close attention to according to redness, Director of Teaching can carry out intervening surface where necessary.When voice identification result comprises mood vocabulary, and confidence score is exciting ' mood scores and is more than or equal to setting value, is formed yellow to remind instruction, controls pilot lamp submodule and lights yellow indicator lamp and light and carry out mood prompting.When voice identification result comprises mood vocabulary, and confidence score is gentle ' mood scores or confidence score is angry ' mood scores and is less than setting value, or confidence score is exciting ' mood scores and is less than setting value, form yellow prompting instruction, control pilot lamp submodule lights yellow indicator lamp and carries out mood prompting.
Classroom client 10 in the present invention is located in each classroom, carries out mood monitoring in teachers ' teaching process in classroom, and Educational Affairs Office client 30 is located in Educational Affairs Office, in case of emergency notifies that Director of Teaching processes.Server end 20 can be located at high in the clouds, also can be located in the director server in campus, be communicated to connect by cordless communication network or campus interior network.
Existing its accuracy rate of mood sorting technique is relatively low, and therefore the present invention considers to use speech recognition technology to assist.Because people are when expressing indignation or exciting mood, usually can be mingled with some common coarse language dirty words, therefore except the tone itself of speaking, the content of speaking also is one of important evidence judging speaker's mood.Thus, accuracy and the validity of mood classification is improved.
Below the based reminding method of classroom teaching teacher morale of the present invention is described.
As shown in Figure 4, the based reminding method of classroom teaching teacher morale of the present invention comprises the steps:
Perform step S11, obtain the voice of teacher in teaching process and form voice messaging, the dais in classroom arranges shotgun microphone, for the speech utterance of teacher in Real-time Obtaining teaching, the voice messaging of formation is sound signal, belongs to simulating signal.Then step S12 is performed.
Perform step S12, use note amplifier to amplify voice messaging, the voice messaging of acquisition is amplified, makes voice messaging more clear.Then step S13 is performed.
Performing step S13, transfer voice messaging to numerical information, utilize analog to digital converter that simulating signal is converted to digital signal, namely the voice messaging through amplifying process being converted to digital signal.Then step S14 and step S15 is performed.
Perform step S14, send to sound identification module to identify, send to sound identification module to carry out speech recognition to obtain voice identification result the voice messaging in digital signal by network service.Voice messaging is identified, judges that the mood vocabulary whether comprising setting in this voice messaging is to show that voice identification result comprises: preset the text library comprising multiple mood vocabulary; Voice messaging is converted into text message; Semantic analysis is carried out to text message and obtains the multiple specific vocabulary that comprises of text message; Specific vocabulary and the mood vocabulary in the text library preset are carried out comparison one by one, if specific vocabulary is identical with arbitrary mood vocabulary, then judges to show that voice messaging comprises the voice identification result of mood vocabulary; If specific vocabulary is different from mood vocabulary, then judge to draw the voice identification result not comprising mood vocabulary in voice messaging.Then step S16 is performed.
Perform step S15, send to mood sort module to classify, send to mood sort module to carry out mood classification to draw mood taxonomic structure the voice messaging in digital signal by network service, and confidence score is carried out to mood taxonomic structure.Mood classification is carried out to draw mood classification results to voice messaging, comprise: mood is divided into angry mood and exciting mood, and set angry parameter threshold and parameter for agonist threshold value for angry mood and exciting mood, wherein angry parameter threshold and parameter for agonist threshold value include sound pitch parameter threshold, word speed parameter threshold and volume parameter threshold; The tone in voice messaging is analyzed, obtains sound pitch parameter, word speed parameter and the volume parameter in voice messaging; By the angry parameter threshold of sound pitch parameter, word speed parameter and volume parameter and setting and parameter for agonist threshold value in corresponding sound pitch parameter threshold, word speed parameter threshold and volume parameter threshold compare, judge to draw whether voice messaging belongs to angry mood or exciting mood to draw corresponding mood classification results.Confidence score is carried out to mood classification results, comprising: for sound pitch parameter, word speed parameter and volume parameter set standards of grading respectively; Standards of grading according to setting are marked respectively to the sound pitch parameter in voice messaging, word speed parameter and volume parameter, draw corresponding appraisal result; The appraisal result of the sound pitch parameter of basis, word speed parameter and volume parameter comprehensively draws the confidence score of mood classification results again.Then step S16 is performed.
Perform step S16, result according to returning judges, the result returned comprises voice identification result and confidence score, mood prompting is carried out according to voice identification result and confidence score, comprise: when voice identification result comprises mood vocabulary, and confidence score is when being angry ' mood scores and being more than or equal to setting value, perform step S19; When voice identification result comprises mood vocabulary, and when confidence score is exciting ' mood scores and is more than or equal to setting value, perform step S18; When voice identification result comprises mood vocabulary, and confidence score is less than setting value or confidence score when being gentle ' mood scores, performs step S18; All the other situations perform step S17.
Perform step S17, do not process.
Perform step S18, amber light is warned, and carries out mood prompting by the yellow indicator lamp lighting dais place.
Perform step S19, red light is warned and is notified Educational Affairs Office, carries out mood prompting by the red led lighting dais place, and by campus network by angry mood notice Educational Affairs Office.
The based reminding method of classroom teaching teacher morale of the present invention can be realized by following system, in installation classroom, dais place client, comprise shotgun microphone, note amplifier, analog to digital converter and network communication module, pass through shotgun microphone, can the voice of Real-time Obtaining teacher in teaching process, this shotgun microphone can adopt the microphone array technology of noise reduction, can solve when speaker's distance microphone is far away, and the impact caused voice is disturbed in environmental noise and reverberation etc.Then adopt the note amplifier be connected with shotgun microphone, this voice messaging is amplified, obtains voice clearly.The voice messaging of amplification being converted to digital signal by analog to digital converter, sent by network communication module.Compression process can be carried out to voice messaging in advance before sending, ensure under the prerequisite not reducing discrimination, the data volume thus the speed of quickening data upload that need to upload can be reduced.
At server end, sound identification module, mood sort module and network communication module are set, identified by sound identification module after receiving speech information, undertaken classifying and confidence score by mood sort module, when mood sort module carries out mood classification, only can also carry out Classification and Identification to angry mood, other moods do not process, and the speed making mood sort module respond like this is faster.Voice messaging is converted into text message by sound identification module, and contrasts text message and the text library preset, and whether there is coarse language, dirty word and the vocabulary such as to talk personalities to student in retrieval result.Voice identification result, mood classification results and confidence score are returned to classroom client.
Be provided with mood prompting module in classroom client, can be reminded by pilot lamp, or also can be set to hummer and carry out buzzing prompting.If prove that mood is in steady state (SS), then do not carry out any process; If mood is in slightly or affective state in short-term, then pointed out by the yellow indicator lamp on dais, remind the mood of teacher's attentional manipulation oneself; If mood is in extremely angry state, then the red led on dais lights, and is paid close attention to by campus interior network notifications Educational Affairs Office to this situation simultaneously, carries out if desired intervening surface.
Below embodiment is to invention has been detailed description by reference to the accompanying drawings, and those skilled in the art can make many variations example to the present invention according to the above description.Thus, some details in embodiment should not form limitation of the invention, the present invention by the scope that defines using appended claims as protection scope of the present invention.
Claims (10)
1. a classroom teaching teacher morale's based reminding method, is characterized in that, comprising:
The voice of Real-time Obtaining teacher in teaching process, form voice messaging;
Speech recognition is carried out to described voice messaging, judges that the mood vocabulary whether comprising setting in described voice messaging is to draw voice identification result;
Mood classification is carried out to draw mood classification results to described voice messaging, and confidence score is carried out to described mood classification results; And
Mood prompting is carried out according to institute's speech recognition result and described confidence score.
2. the based reminding method of classroom teaching teacher morale as claimed in claim 1, is characterized in that, carry out speech recognition to described voice messaging, judge that the mood vocabulary whether comprising setting in described voice messaging is to show that voice identification result comprises:
Preset the text library comprising multiple mood vocabulary;
Described voice messaging is converted into text message;
Semantic analysis is carried out to described text message and obtains the multiple specific vocabulary that described text message comprises;
Described specific vocabulary and the described mood vocabulary in the described text library preset are carried out comparison one by one, if described specific vocabulary is identical with arbitrary described mood vocabulary, then judges to show that described voice messaging comprises the voice identification result of mood vocabulary; If described specific vocabulary is different from described mood vocabulary, then judge to draw the voice identification result not comprising mood vocabulary in described voice messaging.
3. the based reminding method of classroom teaching teacher morale as claimed in claim 1 or 2, is characterized in that, carries out mood classification to draw mood classification results, comprising described voice messaging:
Mood is divided into angry mood and exciting mood, and setting angry parameter threshold and parameter for agonist threshold value for described angry mood and described exciting mood, wherein said angry parameter threshold and described parameter for agonist threshold value include sound pitch parameter threshold, word speed parameter threshold and volume parameter threshold;
The tone in described voice messaging is analyzed, obtains the sound pitch parameter in described voice messaging, word speed parameter and volume parameter;
Sound pitch parameter threshold, word speed parameter threshold and volume parameter threshold corresponding in the described angry parameter threshold of described sound pitch parameter, word speed parameter and volume parameter and setting and described parameter for agonist threshold value are compared, judges to draw whether described voice messaging belongs to described angry mood or described exciting mood to draw corresponding mood classification results.
4. the based reminding method of classroom teaching teacher morale as claimed in claim 3, is characterized in that, carry out confidence score, comprising described mood classification results:
For sound pitch parameter, word speed parameter and volume parameter set standards of grading respectively;
Standards of grading according to setting are marked respectively to the sound pitch parameter in described voice messaging, word speed parameter and volume parameter, draw corresponding appraisal result;
The confidence score of described mood classification results is comprehensively drawn again according to the appraisal result of described sound pitch parameter, word speed parameter and volume parameter.
5. the based reminding method of classroom teaching teacher morale as claimed in claim 4, it is characterized in that, mood prompting is carried out according to institute's speech recognition result and described confidence score, comprise: when institute's speech recognition result comprises described mood vocabulary, and described confidence score is when being angry ' mood scores and being more than or equal to setting value, mood prompting is carried out by being lighted by the red led at dais place, and by campus network by described angry mood notice Educational Affairs Office;
When institute's speech recognition result comprises described mood vocabulary, and described confidence score is exciting ' mood scores and is more than or equal to setting value, carries out mood prompting by being lighted by the yellow indicator lamp at dais place;
When institute's speech recognition result comprises described mood vocabulary, and when described confidence score is less than setting value, carry out mood prompting by being lighted by the yellow indicator lamp at dais place.
6. a classroom teaching teacher morale's system for prompting, is characterized in that, comprising:
Sound acquisition module, forms voice messaging for the voice of Real-time Obtaining teacher in teaching process;
The sound identification module be connected with described sound acquisition module, for carrying out speech recognition to described voice messaging, and judges that the mood vocabulary whether comprising setting in described voice messaging is to draw voice identification result;
The mood sort module be connected with described sound acquisition module, for carrying out mood classification to described voice messaging to draw mood classification results, and carries out confidence score to drawn mood classification results; And
The mood prompting module be connected with described sound identification module and described mood sort module, for carrying out mood prompting according to institute's speech recognition result and described confidence score.
7. the system for prompting of classroom teaching teacher morale as claimed in claim 6, it is characterized in that, described sound identification module is located at server end, be connected with described sound acquisition module by the network communication module of described server end, and receive the described voice messaging of described sound acquisition module transmission;
Described sound identification module comprises text library submodule, text transformant module, semantic analysis submodule and phonetic decision submodule;
Described text library submodule is for storing multiple default mood vocabulary;
Described text transformant module is connected with described network communication module, for described voice messaging being converted into corresponding text message;
Described semantic analysis submodule and described text transformant model calling, for extracting specific vocabulary included in described text message;
Described phonetic decision submodule is connected with described text library submodule and described semantic analysis submodule, for carrying out comparison one by one to the described mood vocabulary stored in described specific vocabulary and described text library submodule, to draw the voice identification result whether comprising mood vocabulary in described voice messaging.
8. the system for prompting of classroom teaching teacher morale as claimed in claim 6, it is characterized in that, described mood sort module is located at server end, be connected with described sound acquisition module by the network communication module of described server end, and receive the described voice messaging of described sound acquisition module transmission;
Described mood sort module comprises parameter extraction submodule, parameter threshold submodule and emotion judgment submodule;
Described parameter extraction submodule is connected with described network communication module, for carrying out tone analysis to described voice messaging, analyzing and drawing sound pitch parameter, word speed parameter and volume parameter from described voice messaging;
Described parameter threshold submodule, for storing angry parameter threshold and the parameter for agonist threshold value of setting, wherein said angry parameter threshold and described parameter for agonist threshold value include sound pitch parameter threshold, word speed parameter threshold and volume parameter threshold;
Described emotion judgment submodule is connected with described parameter extraction submodule and described parameter threshold submodule, for sound pitch parameter threshold, word speed parameter threshold and volume parameter threshold corresponding in the described angry parameter threshold of the sound pitch parameter in described voice messaging, word speed parameter and volume parameter and setting and described parameter for agonist threshold value are compared, to judge to show whether described voice messaging belongs to described angry mood or described exciting mood.
9. the system for prompting of classroom teaching teacher morale as claimed in claim 8, it is characterized in that, described mood sort module also comprises confidence score submodule, described confidence score submodule is connected with described parameter extraction submodule and described emotion judgment submodule, for marking respectively to the sound pitch parameter in described voice messaging, word speed parameter and volume parameter, to draw corresponding appraisal result; And for comprehensively drawing the confidence score of described mood classification results according to the appraisal result of described sound pitch parameter, word speed parameter and volume parameter.
10. the system for prompting of classroom teaching teacher morale as claimed in claim 6, is characterized in that, the prompting process submodule that described mood prompting module comprises pilot lamp submodule and is connected with described pilot lamp submodule;
Described process submodule of reminding is used for forming corresponding prompting instruction according to institute's speech recognition result and described confidence score, comprise: when institute's speech recognition result comprises described mood vocabulary, and described confidence score is when being angry ' mood scores and being more than or equal to setting value, form red prompting instruction, light red led and light for controlling described pilot lamp submodule and carry out mood prompting, also for notifying Educational Affairs Office by campus network;
When institute's speech recognition result comprises described mood vocabulary, and when described confidence score is exciting ' mood scores and is more than or equal to setting value, formed and yellow remind instruction, light yellow indicator lamp and light for controlling described pilot lamp submodule and carry out mood prompting;
When institute's speech recognition result comprises described mood vocabulary, and when described confidence score is less than setting value, being formed and yellow remind instruction, lighting that yellow indicator lamp is bright carries out mood prompting for controlling described pilot lamp submodule.
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