CN110751954A - Classroom teaching warning correction system and method based on voice recognition and semantic recognition - Google Patents
Classroom teaching warning correction system and method based on voice recognition and semantic recognition Download PDFInfo
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- CN110751954A CN110751954A CN201911020260.4A CN201911020260A CN110751954A CN 110751954 A CN110751954 A CN 110751954A CN 201911020260 A CN201911020260 A CN 201911020260A CN 110751954 A CN110751954 A CN 110751954A
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- G—PHYSICS
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- G—PHYSICS
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
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- G08B21/24—Reminder alarms, e.g. anti-loss alarms
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Abstract
The invention discloses a classroom teaching warning correction system based on voice recognition and semantic recognition, which comprises: the voice recognition system comprises a voice acquisition module, a voice recognition module and a semantic recognition module; the analysis and correction module has a storage function and stores a standard language library, and the standard language library comprises a bad language library or an improper language library; the analysis and correction module is used for receiving the voice text information and the semantic text information, comparing the voice text information with the semantic text information with a standard language library, and if the voice text information or the semantic text information contains bad words or improper words, sending a control signal to a warning module; and the warning module is used for sending warning reminding to the teacher after receiving the control signal. When the teacher produces bad speech and improper speech in the teaching process, the invention automatically warns the teacher and reminds the teacher to correct the bad speech and improper speech.
Description
Technical Field
The invention relates to a classroom teaching warning correction system and method based on voice recognition and semantic recognition, and belongs to the technical field of teaching equipment and methods.
Background
Teachers are the leading people of classroom teaching activities, and the teaching quality of each class is directly influenced by the teachers in one line in the classroom, and meanwhile, the life, value and world of students are influenced invisibly. Most of the existing teacher evaluation only monitors and evaluates the teaching content and quality of the teacher, but does not monitor and evaluate the language of the teacher. If a teacher has inappropriate words in a class, such as abuses or physical penalties of students, passive complaints, release of character theory, malicious assassailing others, release of government theory, etc., it is likely that the students will be driven to the wrong way, affecting their life development. Therefore, monitoring the behavior of the teacher teaching process is very necessary.
Disclosure of Invention
The invention aims to provide a classroom teaching behavior warning and correcting system and method based on voice recognition and semantic recognition, which can automatically warn teachers to remind the teachers to correct when bad speech and inappropriate speech are generated in the teaching process of the teachers.
In order to solve the technical problems, the invention adopts the following technical scheme:
a classroom teaching warning correction system based on speech recognition and semantic recognition comprises:
the voice acquisition module is used for acquiring voice information sent by a teacher in the teaching process and sending the voice information to the voice recognition module;
the voice recognition module is used for receiving the voice information, performing voice recognition on the voice information, and converting the voice information into voice text information, namely, a tone-to-word; sending the voice text information to a semantic recognition module and an analysis and correction module;
the semantic recognition module is used for receiving the voice text information, extracting keywords from sentences in the voice text information, converting the voice text information into semantic text information and sending the semantic text information to the analysis and correction module;
the analysis and correction module has a storage function and stores a standard language library, and the standard language library comprises a bad language library or an improper language library; the analysis and correction module is used for receiving the voice text information and the semantic text information, comparing the voice text information with the semantic text information with a standard language library, and if the voice text information or the semantic text information contains bad words or improper words, sending a control signal to a warning module;
and the warning module is used for sending warning reminding to the teacher after receiving the control signal.
The bad speech refers to a sentence containing an inauguration word, and the inappropriate speech refers to a negative complaint, a release of a character of liberty, a malicious assassault of others, a release of a contra-government speech, and the like.
In the classroom teaching warning correction system based on voice recognition and semantic recognition, the warning module sends warning reminding to a teacher in a vibration and/or signal lamp flickering mode after receiving the control signal.
A classroom teaching warning correction method based on speech recognition and semantic recognition adopts the classroom teaching warning correction system based on speech recognition and semantic recognition, and comprises the following steps:
s100: in the course of giving lessons, voice information sent by a teacher is collected through a voice collection module;
s200: performing voice recognition on the voice information through a voice recognition module, and converting the voice information into voice text information;
s300: performing semantic recognition on the voice text information through a semantic recognition module, extracting key words from sentences in the voice text information, and converting the voice text information into semantic text information;
s400: the voice text information and the semantic text information are respectively compared with a standard language library through the analysis and correction module, and if the voice text information or the semantic text information contains bad words or improper words, the analysis and correction module sends a control signal to the warning module;
s500: the warning module sends a warning prompt to the teacher after receiving the control signal to prompt the teacher that the teacher has spoken the bad speech or the improper speech so as to prompt the teacher that the teacher does not speak the same kind of bad speech or the improper speech.
In the aforementioned classroom teaching warning correction method based on speech recognition and semantic recognition, the step S200 of converting the speech information into speech text information includes the following steps: and interpreting the voice information, and converting the voice information into a corresponding text according to the pronunciation in the voice information.
Compared with the prior art, the invention can automatically warn teachers to remind the teachers to correct when the teachers generate bad speech and improper speech during the teaching process.
Drawings
FIG. 1 is a work flow diagram of one embodiment of the present invention.
The invention is further described with reference to the following figures and detailed description.
Detailed Description
Example 1 of the invention: a classroom teaching warning correction system based on speech recognition and semantic recognition comprises:
the voice acquisition module is used for acquiring voice information sent by a teacher in the teaching process and sending the voice information to the voice recognition module;
the voice recognition module is used for receiving the voice information, performing voice recognition on the voice information, converting the voice information into voice text information, and sending the voice text information to the semantic recognition module and the analysis and correction module;
the semantic recognition module is used for receiving the voice text information, extracting keywords from sentences in the voice text information, converting the voice text information into semantic text information and sending the semantic text information to the analysis and correction module;
the analysis and correction module has a storage function and stores a standard language library, and the standard language library comprises a bad language library or an improper language library; the analysis and correction module is used for receiving the voice text information and the semantic text information, comparing the voice text information with the semantic text information with a standard language library, and if the voice text information or the semantic text information contains bad words or improper words, sending a control signal to a warning module;
and the warning module is used for sending warning reminding to the teacher after receiving the control signal. And the warning module sends warning reminding to a teacher in a vibration and/or signal lamp flickering mode after receiving the control signal. For example: the warning module is an intelligent bracelet with a vibration function, and after the warning module receives the control signal, the intelligent bracelet can remind a teacher that bad sentences or improper speeches are contained in the teaching process through vibration; the intelligent bracelet can also remind teachers that bad sentences or improper speeches are contained in the teaching process in a signal lamp flickering mode; the intelligent bracelet can also remind a teacher that bad sentences or improper speech are contained in the teaching process in a vibration and signal lamp flickering mode.
The warning module can also be the lamps and lanterns that can flash of light, installs the position that the teacher can see and the student can not see on the lectern, has contained bad sentence or improper speech and has played the prompt effect when the teacher in-process of giving lessons on the one hand, and on the other hand can not influence the student again and listen to class, prevents to interrupt the thought of listening to class.
A classroom teaching warning correction method based on speech recognition and semantic recognition adopts the classroom teaching warning correction system based on speech recognition and semantic recognition described in embodiment 1, and comprises the following steps:
s100: in the course of giving lessons, voice information sent by a teacher is collected through a voice collection module; the sound collection module can be a microphone or other similar products; the sound collection module can be placed on a platform and also can be worn on a collar of a teacher, and the sound collection module can be used for clearly collecting the speaking content of the teacher.
S200: performing voice recognition on the voice information through a voice recognition module, converting the voice information into voice text information, namely interpreting the voice information into a text, interpreting the voice information, and converting the text into a corresponding text according to pronunciation in the voice information;
s300: performing semantic recognition on the voice text information through a semantic recognition module, extracting key words from sentences in the voice text information, and converting the voice text information into semantic text information; the voice text information is converted into semantic text information by adopting a voice analysis method disclosed in a patent number 201510887890.7 already granted by China. Namely, the speech of the teacher is summarized and summarized to a certain extent; the design is that the speech content of the teacher is summarized and summarized into semantic text information to facilitate comparison with a postscript standard language library in consideration of the fact that the teacher and the students are inevitably spoken in language in the communication process, and the contents of literal meaning and actually required expression come and go.
S400: the voice text information and the semantic text information are respectively compared with a standard language library through the analysis and correction module, and if the voice text information or the semantic text information contains bad words or improper words, the analysis and correction module sends a control signal to the warning module;
s500: the warning module sends a warning prompt to the teacher after receiving the control signal to prompt the teacher that the teacher has spoken the bad speech or the improper speech so as to prompt the teacher that the teacher does not speak the same kind of bad speech or the improper speech. The warning module can be a device capable of making vision and touch to teachers, such as a bracelet with a vibration function and a warning lamp. Preferably, the warning prompt made by the warning module can be sensed by the teacher only and cannot be perceived by the students.
Claims (3)
1. The utility model provides a classroom teaching warning correction system based on speech recognition and semantic recognition which characterized in that includes:
the voice acquisition module is used for acquiring voice information sent by a teacher in the teaching process and sending the voice information to the voice recognition module;
the voice recognition module is used for receiving the voice information, performing voice recognition on the voice information, converting the voice information into voice text information, and sending the voice text information to the semantic recognition module and the analysis and correction module;
the semantic recognition module is used for receiving the voice text information, extracting keywords from sentences in the voice text information, converting the voice text information into semantic text information and sending the semantic text information to the analysis and correction module;
the analysis and correction module has a storage function and stores a standard language library, and the standard language library comprises a bad language library or an improper language library; the analysis and correction module is used for receiving the voice text information and the semantic text information, comparing the voice text information with the semantic text information with a standard language library, and if the voice text information or the semantic text information contains bad words or improper words, sending a control signal to a warning module;
and the warning module is used for sending warning reminding to the teacher after receiving the control signal.
2. The classroom teaching alert correction system based on speech recognition and semantic recognition as recited in claim 1, wherein the alert module sends an alert prompt to a teacher in the form of vibration and/or blinking of a signal light after receiving the control signal.
3. A classroom teaching warning correction method based on speech recognition and semantic recognition, which is characterized in that the classroom teaching warning correction system based on speech recognition and semantic recognition of claim 1 is adopted, and the method comprises the following steps:
s100: in the course of giving lessons, voice information sent by a teacher is collected through a voice collection module;
s200: performing voice recognition on the voice information through a voice recognition module, and converting the voice information into voice text information;
s300: performing semantic recognition on the voice text information through a semantic recognition module, extracting key words from sentences in the voice text information, and converting the voice text information into semantic text information;
s400: the voice text information and the semantic text information are respectively compared with a standard language library through the analysis and correction module, and if the voice text information or the semantic text information contains bad words or improper words, the analysis and correction module sends a control signal to the warning module;
s500: the warning module sends a warning prompt to the teacher after receiving the control signal to prompt the teacher that the teacher has spoken the bad speech or the improper speech so as to prompt the teacher that the teacher does not speak the same kind of bad speech or the improper speech.
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2019
- 2019-10-25 CN CN201911020260.4A patent/CN110751954A/en active Pending
Patent Citations (8)
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| KR20090015678A (en) * | 2007-08-09 | 2009-02-12 | 한국과학기술원 | Language clean robot |
| CN201689416U (en) * | 2009-09-24 | 2010-12-29 | 陈洁 | Automatic monitoring system for teaching |
| JP2013101319A (en) * | 2011-10-12 | 2013-05-23 | Masao Fukuda | Language learning educational material for infant and display body for assisting language learning of infant |
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