CN116453543A - Teaching language specification analysis method and system based on voice recognition - Google Patents
Teaching language specification analysis method and system based on voice recognition Download PDFInfo
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Classifications
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
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- G10L21/00—Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
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Abstract
The invention discloses a teaching language specification analysis method and system based on voice recognition, wherein the system comprises a data acquisition module, a teaching language data processing module, a teaching language specification level analysis module, a teaching language level feedback module and a skill level development recording module; the data acquisition module is used for acquiring the teaching video clips recorded in the cloud or uploaded by the platform; the teaching language data processing module is used for carrying out voice data preprocessing and comparison judgment processing on the teaching video clips to obtain horizontal parameters; the teaching language specification level analysis module is used for carrying out specification comparison analysis processing on the level parameters to obtain an analysis report; the teaching language level feedback module is used for integrating and visually presenting the analysis report to obtain a feedback report; the skill level development recording module is used for carrying out development recording processing on the skill level according to the feedback report to obtain a level recording result. The embodiment of the invention can improve the teaching language standard level and can be widely applied to the technical field of computers.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a teaching language specification analysis method and system based on voice recognition.
Background
The teaching language is a main mode for transmitting teaching information, and how to analyze the teaching language standard level of a lecturer is an important guarantee for improving the teaching efficiency of a classroom and promoting the high-quality development of teaching. The traditional voice recognition technology can realize analysis and suggestion of teaching language standardization, but the traditional teaching language system only carries out system intelligent judgment from the standard degree of the mandarin of a lecturer, other index items such as emotion and the like are personal scoring based on subjective experience of a teacher, and the mode only carries out judgment from the individual angle of the teacher, so that the method has stronger subjectivity and cannot objectively and truly reflect the teaching language standardization level of the lecturer. Meanwhile, the related system is lack of tracking record on the procedural data of the professor, the analysis of the teaching language of the professor only takes the score as the main part, the mining on the procedural data is lack, and the professor cannot conduct targeted training promotion. In view of the foregoing, there is a need for solving the technical problems in the related art.
Disclosure of Invention
Therefore, the embodiment of the invention provides a teaching language specification analysis method and system based on voice recognition, so as to realize objective analysis on teaching language specification level and improve accuracy and utilization rate of data analysis.
On one hand, the invention provides a teaching language specification analysis system based on voice recognition, which comprises a data acquisition module, a teaching language data processing module, a teaching language specification level analysis module, a teaching language level feedback module and a skill level development recording module;
the data acquisition module is used for acquiring teaching video clips recorded in the cloud or uploaded by the platform;
the teaching language data processing module is used for carrying out voice data preprocessing and comparison judgment processing on the teaching video clips to obtain horizontal parameters;
the teaching language specification level analysis module is used for carrying out specification comparison analysis processing on the level parameters to obtain an analysis report;
the teaching language level feedback module is used for integrating and visually presenting the analysis report and feeding back the improvement opinion according to the visual data to obtain a feedback report;
and the skill level development recording module is used for carrying out development recording processing on the skill level according to the feedback report to obtain a level recording result.
Optionally, the data acquisition module comprises a cloud recording unit and a platform uploading unit;
the cloud recording unit is used for generating a teaching video clip through a system recording function and uploading the teaching video clip to the cloud;
and the platform uploading unit is used for uploading recorded teaching video clips through the system platform.
Optionally, the teaching language data processing module comprises a preprocessing unit and a judging unit;
the preprocessing unit is used for carrying out inspection and identification processing on the teaching video clips to obtain preprocessing data;
and the judging unit is used for comparing and judging the preprocessed data to obtain the horizontal parameter.
Optionally, the skill level development recording module comprises a personal recording unit and a group recording unit;
the personal recording unit is used for storing the growth condition of the teaching language specification level skills of the personal user to obtain a personal recording result;
the group recording unit is used for storing the growth conditions of teaching language specification level skills among different groups to obtain group recording results.
Optionally, the data acquisition module further includes an extraction marking unit, where the extraction marking unit is configured to extract system platform information to mark the teaching video clip and record video information of the teaching video clip.
Optionally, the preprocessing unit is configured to perform inspection and identification processing on the teaching video segment to obtain preprocessed data, and specifically includes:
performing voice recognition and content verification processing on the teaching video segment to obtain verification data;
noise removing processing is carried out on the verification data to obtain noise reduction data;
and performing voice alignment processing on the noise reduction data based on the time base line to obtain preprocessing data.
Optionally, the system further comprises an identity verification module, wherein the identity verification module is used for carrying out identity verification according to the analysis report request, and if the identity verification is passed, the acquired level parameters are input into the teaching language specification level analysis module for comparison analysis.
On the other hand, the embodiment of the invention also provides a teaching language specification analysis method based on voice recognition, which is applied to the analysis system and comprises the following steps:
acquiring a teaching video clip recorded by a cloud or uploaded by a platform through a data acquisition module;
the teaching video clips are subjected to voice data preprocessing and comparison judgment processing through a teaching language data processing module to obtain horizontal parameters;
carrying out standard comparison analysis processing on the level parameters through a teaching language standard level analysis module to obtain an analysis report;
integrating and visually presenting the analysis report through a teaching language level feedback module, and feeding back improvement comments according to visual data to obtain a feedback report;
and carrying out development record processing on the skill level according to the feedback report by a skill level development record module to obtain a level record result.
On the other hand, the embodiment of the invention also discloses electronic equipment, which comprises a processor and a memory;
the memory is used for storing programs;
the processor executes the program to implement the method as described above.
In another aspect, embodiments of the present invention also disclose a computer readable storage medium storing a program for execution by a processor to implement a method as described above.
In another aspect, embodiments of the present invention also disclose a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The computer instructions may be read from a computer-readable storage medium by a processor of a computer device, and executed by the processor, to cause the computer device to perform the foregoing method.
Compared with the prior art, the technical scheme provided by the invention has the following technical effects: according to the teaching language specification analysis system based on voice recognition, a data acquisition module is used for acquiring a teaching video clip recorded in a cloud or uploaded to the cloud by a client; the teaching language data processing module analyzes and extracts the voice data of the teaching video clips and automatically preprocesses the teaching video clips; judging an outputtable level parameter item through a teaching language specification level analysis module, calculating a teaching language specification level index parameter, and automatically forming an analysis report of the teaching language specification level; and visually presenting related indexes through a teaching language level feedback module to provide improvement comments; the embodiment of the invention can avoid the defect that the teaching language standard level of the subjective judgment lecturer lacks scientificity and objectivity in the prior art, and provides scientific and objective basis for the lecturer to train and promote in a targeted manner.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of an analysis system according to an embodiment of the present application;
FIG. 2 is a schematic flow chart of an analysis method according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application;
FIG. 4 is a schematic diagram of a data flow of an analysis system according to an embodiment of the present application;
FIG. 5 is a schematic flow chart of a request processing of an analysis system according to an embodiment of the present application;
FIG. 6 is a schematic flow chart of authentication of an analysis system according to an embodiment of the present application;
fig. 7 is a schematic flow chart of an output record of an analysis system according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
The teaching language is a main mode for transmitting teaching information, and how to analyze the teaching language standard level of a lecturer is an important guarantee for improving the teaching efficiency of a classroom and promoting the high-quality development of teaching. The analysis system of teaching language standard level based on voice recognition provides scientific and accurate improvement suggestion aiming at the defects existing in teaching language of a lecturer, the teaching language standard adjustment device has important significance for assisting the lecturer to timely adjust teaching language standard aiming at the defects of the lecturer and conduct targeted training and improving the teaching language standard level of the lecturer. The traditional voice recognition technology can analyze and suggest the teaching language standard, but the traditional teaching language system only carries out system intelligent judgment from the standard level of the mandarin of the lecturer, other index items such as emotion and the like are personal scoring based on subjective experience of a teacher, the mode only carries out judgment from the personal angle of the teacher, the method has stronger subjectivity, and the teaching language standard level of the lecturer cannot be objectively and truly reflected. Meanwhile, the system lacks tracking record of the process data of the professor, the judgment of the teaching language of the professor only takes the score as the main part, the mining of the process data is lacking, and the professor cannot conduct targeted training promotion.
In view of the above, referring to fig. 1, an embodiment of the present invention provides a system for analyzing teaching language specifications based on speech recognition, which includes a data acquisition module, a teaching language data processing module, a teaching language specification level analysis module, a teaching language level feedback module, and a skill level development recording module;
the data acquisition module is used for acquiring teaching video clips;
the teaching language data processing module is used for carrying out voice data preprocessing and comparison judgment processing on the teaching video clips to obtain horizontal parameters;
the teaching language specification level analysis module is used for carrying out specification comparison analysis processing on the level parameters to obtain an analysis report;
the teaching language level feedback module is used for integrating and visually presenting the analysis report to obtain a feedback report;
and the skill level development recording module is used for carrying out development recording processing on the skill level according to the feedback report to obtain a level recording result.
In the embodiment of the invention, the teaching language specification analysis system based on voice recognition comprises a data acquisition module, wherein the data acquisition module is used for acquiring teaching video clips, recording or uploading recorded teaching video clips through a cloud or a platform, and filling relevant information of the teaching video clips, including school, discipline, teaching materials, lessons and the like, when recording or uploading the teaching video clips. The teaching language data processing module of the embodiment is used for carrying out voice data preprocessing and comparison judgment processing on the teaching video clips to obtain horizontal parameters; the teaching video clip is preprocessed, and the preprocessed data is analyzed and judged to output horizontal parameter items, wherein the teaching language data processing module comprises a preprocessing module and a judging module. The teaching language specification level analysis template is used for carrying out specification contrast analysis processing on the level parameters obtained by the modules to obtain an analysis report; specifically, according to the outputtable level parameter items judged in the teaching video clip processing module, the teaching language standard level parameters are calculated, and compared and analyzed with the teaching language standard level standard parameters preset by the system, so that an analysis report is formed. The teaching language level feedback module is used for integrating and visually presenting the analysis report and feeding back the improvement opinion according to the visual data to obtain a feedback report; the analysis report in the teaching language specification level analysis module is integrated, the application condition of each index item of the teaching language specification level in the teaching video clip is visually presented, and the targeted improvement opinion is provided according to the application condition, so that the analysis report is formed and fed back to the user. The skill level development recording module of this embodiment is configured to perform development recording processing on skill levels according to the feedback report to obtain a level recording result, and specifically is configured to create or store a user teaching language specification skill level growth record, and create or update a user skill level related record, where the level recording result includes a personal record and a group record.
Further as a preferred embodiment, the data acquisition module includes a cloud recording unit and a platform uploading unit;
the cloud recording unit is used for generating a teaching video clip through a system recording function and uploading the teaching video clip to the cloud;
and the platform uploading unit is used for uploading recorded teaching video clips through the system platform.
In the embodiment of the invention, the data acquisition module comprises a cloud recording unit and a platform uploading unit, and a user can provide teaching video clips according to actual conditions in the following two ways; and secondly, uploading recorded teaching video clips through a system platform according to a platform uploading unit.
Further as a preferred embodiment, the teaching language data processing module includes a preprocessing unit and a judging unit;
the preprocessing unit is used for carrying out inspection and identification processing on the teaching video clips to obtain preprocessing data;
and the judging unit is used for comparing and judging the preprocessed data to obtain the horizontal parameter.
In the embodiment of the invention, the preprocessing unit is used for extracting the teaching video segments in the cloud recording unit or the platform uploading unit, automatically checking whether the uploaded video segments are teaching videos, extracting voice data and denoising the identified teaching video segments, aligning voice volume and tone based on a time base line and the like, and obtaining preprocessing data, namely processed voice data. The judging unit is used for comparing and judging the preprocessed voice data with data items needed to be used for calculating relevant parameters of teaching language standard level, wherein the data items comprise spoken Buddhist frequency (FoC), volume rationality (RoV), speed of speech rationality (RoS), tone rationality (RoI), word distribution (SC), sentence emotion polarity (PoE) and class question rate (RoQ), and the level parameters are obtained.
Further as a preferred embodiment, the skill level development record module comprises a personal record unit and a group record unit;
the personal recording unit is used for storing the growth condition of the teaching language specification level skills of the personal user to obtain a personal recording result;
the group recording unit is used for storing the growth conditions of teaching language specification level skills among different groups to obtain group recording results.
In the embodiment of the invention, the personal recording unit is used for recording the growth condition of the skill level of the teaching language specification of the personal user, including the change condition of each index parameter item, allowing the user to conduct export and generating the personal development report. The group record unit is used for storing the growth condition of teaching language specification level skills among different groups, performing classification analysis, and allowing a specified user to derive according to keywords, so as to generate a group development report, wherein the keywords can be time, universities, subjects, school segments, gender and the like.
According to the analysis system provided by the embodiment of the invention, the teaching video clips can be automatically preprocessed through the teaching video clips recorded in the cloud or uploaded to the cloud by the client, the voice data of the teaching video clips are analyzed and extracted, the outputtable level parameter item is judged according to the existing data, the teaching language standard level index parameter is calculated, the analysis report of the teaching language standard level is automatically formed, the related index is visually presented, and the improvement opinion of the targeted improvement of the teaching language standard level is proposed. In the implementation process, the actual condition of the skills of the teaching language specification level of the user is truly fed back, and the user is helped to know the procedural change and the development trend of the skills of the teaching language specification level application in time by checking the analysis report in the teaching language level analysis module and establishing the skills level record of the user, so that the skills of the teaching language specification level application of the user can be effectively improved by training according to the targeted feedback opinion.
Further as a preferred embodiment, the data acquisition module further includes an extraction marking unit, where the extraction marking unit is configured to extract system platform information to mark the teaching video segment, and record video information of the teaching video segment.
Further as a preferred embodiment, the preprocessing unit is configured to perform inspection and identification processing on the teaching video segment to obtain preprocessed data, and specifically includes:
performing voice recognition and content verification processing on the teaching video segment to obtain verification data;
noise removing processing is carried out on the verification data to obtain noise reduction data;
and performing voice alignment processing on the noise reduction data based on the time base line to obtain preprocessing data.
Further as a preferred implementation manner, the system further comprises an identity verification module, wherein the identity verification module is used for carrying out identity verification according to the analysis report request, and if the identity verification is passed, the acquired level parameters are input into the teaching language specification level analysis module for comparison analysis.
On the one hand, referring to fig. 2, the embodiment of the invention further provides a teaching language specification analysis method based on voice recognition, which is applied to the analysis system, and comprises the following steps:
s101, acquiring a teaching video clip recorded by a cloud or uploaded by a platform through a data acquisition module;
s102, carrying out voice data preprocessing and comparison judgment processing on the teaching video clips through a teaching language data processing module to obtain horizontal parameters;
s103, carrying out standard comparison analysis processing on the level parameters through a teaching language standard level analysis module to obtain an analysis report;
s104, integrating and visually presenting the analysis report through a teaching language level feedback module, and feeding back the improvement opinion according to visual data to obtain a feedback report;
s105, performing development record processing on the skill level according to the feedback report through a skill level development record module to obtain a level record result.
In the embodiment of the invention, the data acquisition module is used for acquiring the teaching video clips recorded or uploaded by the cloud, and the information of the user when registering or logging in the system platform is extracted, including id, gender, school, department and the like, marking the teaching video clips recorded or uploaded by the user cloud, and recording the teaching clip information of the teaching video clips, such as school, discipline, teaching material, class and the like. And preprocessing the marked teaching fragments through a teaching language data processing module, including data preprocessing such as verification, noise reduction, alignment and the like, specifically verifying the teaching video fragments by identifying whether the teaching video fragments are teaching contents, removing noise and noise in the teaching fragments, and finally obtaining processed voice data based on time base line voice volume and alignment of tones. And then comparing and judging the preprocessed voice data with data items needed to be used for calculating relevant parameters of teaching language standard level, obtaining a judging result, and storing the level parameters which can be output by the teaching video clip. Through the identity verification module, when a user sends out an analysis report request for generating individuals or groups, verifying the identity of the user, and if the identity verification is passed, respectively performing individual analysis report request processing and group analysis report generation processing; the personal analysis report request processing retrieves the output parameters of the teaching fragments stored for standby in the second step according to the instruction parameters input by the user and transmits the parameters to the teaching language specification level analysis module; the group analysis report generation process retrieves corresponding data of user input instruction parameters in the group archive according to the instruction parameters input by the user, wherein the input instruction parameters can be time, universities, disciplines, school, gender and the like, and the input instruction parameters are transmitted to the teaching language specification level analysis module. And then, calculating related teaching language specification level parameter items through a teaching language specification level analysis module according to the received outputtable level parameter record list, analyzing and sorting data according to the fetched corresponding data to form an analysis report, and transmitting the analysis report to a teaching language specification level feedback module. And then, integrating the analysis report in the teaching language specification level analysis module through the teaching language specification level feedback module, visually presenting the application condition of each index item of the teaching language specification level in the teaching video clip, providing targeted improvement opinion according to the application condition, forming a personal or group analysis report and presenting the report to a user. And finally, calling id information and updating the analysis report to the corresponding personal skill level record through the skill level development record module, thereby obtaining a level record result. It is conceivable to create the user skill level development record if it is the first request for service.
Referring to fig. 3, corresponding to the method of fig. 2, an embodiment of the present invention further provides an electronic device, including a processor 201 and a memory 202; the memory is used for storing programs; the processor executes the program to implement the method as described above.
Corresponding to the method of fig. 2, an embodiment of the present invention also provides a computer-readable storage medium storing a program to be executed by a processor to implement the method as described above.
Embodiments of the present invention also disclose a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The computer instructions may be read from a computer-readable storage medium by a processor of a computer device, and executed by the processor, to cause the computer device to perform the method shown in fig. 2.
Referring to fig. 4-7, the present embodiment can be applied to a teaching language specification level analysis scenario of a teacher class school, a user records or uploads a teaching fragment to the level analysis system of the present embodiment through a cloud, and automatically generates a teaching language level personal diagnosis report, a teaching language level group diagnosis report, and a teaching language level hospital system or school diagnosis report through the analysis system, wherein the user can be a student or a teacher, and only an administrator can view the teaching language level hospital system or school diagnosis report. The system of the embodiment receives a processing request of a user, wherein the processing request of the system comprises a processing request 1 as a request record, identity verification is carried out through a processing request 3, if verification is passed, the processing request 1 is allowed to acquire a diagnosis record, a level parameter item is output to a processing request 2, identity verification is carried out through the processing request 3, if verification is passed, the processing request 2 is allowed to output an analysis report, the diagnosis record, the output record and the skill level record are saved, a request check list is checked according to the request record through a request statistics 4, a statistics table is output according to the output record through an output statistics 5, and a statistics table is output according to the skill level record according to an output statistics 6. Specifically, the verification process generates a verification request 1.1 for obtaining a user request, performs rationality judgment according to a request record, verifies the identity 2.2 if the request is determined to be reasonable, and sends a request list and an outputtable level parameter item if the identity passes, so as to determine whether to generate an output report 1.3, wherein the output report comprises an output record, a skill level record and an outputtable report. When the output record is needed, acquiring a request form inspection request 2.1, calculating an outputtable level diagnosis parameter item 3.2 according to the request record inspection request, outputting outputtable level parameter item information according to the output record, then automatically diagnosing by a comparison standard to form an output report, and acquiring an output record update skill level file.
In summary, the embodiment of the invention has the following advantages: the system provides an analysis system of teaching language standard level based on voice recognition, which is characterized in that a teaching video clip is automatically preprocessed through a cloud recorded or a teaching video clip uploaded to the cloud by a client, voice data of the teaching video clip is analyzed and extracted, alignment of voice volume and tone based on a time base line is automatically realized in real time, an outputtable level parameter item is judged according to the existing data, teaching language standard level index parameter is calculated, an analysis report of the teaching language standard level is automatically formed, and a user can objectively and truly know the teaching language standard skill level of the user, and self evaluation and thinking back are performed; in addition, according to the comparison analysis of the calculated standard level index parameter of the teaching language and the preset index parameter standard, the teaching language standard level improvement opinion is provided in a targeted manner, and the user is helped to train and improve weak skill items in a targeted manner. The analysis system of the teaching language specification level based on the voice recognition can truly and objectively reflect the teaching language specification level of the user, and is helpful for the user to conduct targeted training and improvement on weak skills.
In some alternative embodiments, the functions/acts noted in the block diagrams may occur out of the order noted in the operational illustrations. For example, two blocks shown in succession may in fact be executed substantially concurrently or the blocks may sometimes be executed in the reverse order, depending upon the functionality/acts involved. Furthermore, the embodiments presented and described in the flowcharts of the present invention are provided by way of example in order to provide a more thorough understanding of the technology. The disclosed methods are not limited to the operations and logic flows presented herein. Alternative embodiments are contemplated in which the order of various operations is changed, and in which sub-operations described as part of a larger operation are performed independently.
Furthermore, while the invention is described in the context of functional modules, it should be appreciated that, unless otherwise indicated, one or more of the described functions and/or features may be integrated in a single physical device and/or software module or one or more functions and/or features may be implemented in separate physical devices or software modules. It will also be appreciated that a detailed discussion of the actual implementation of each module is not necessary to an understanding of the present invention. Rather, the actual implementation of the various functional modules in the apparatus disclosed herein will be apparent to those skilled in the art from consideration of their attributes, functions and internal relationships. Accordingly, one of ordinary skill in the art can implement the invention as set forth in the claims without undue experimentation. It is also to be understood that the specific concepts disclosed are merely illustrative and are not intended to be limiting upon the scope of the invention, which is to be defined in the appended claims and their full scope of equivalents.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
It is to be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that: many changes, modifications, substitutions and variations may be made to the embodiments without departing from the spirit and principles of the invention, the scope of which is defined by the claims and their equivalents.
While the preferred embodiment of the present invention has been described in detail, the present invention is not limited to the embodiments described above, and those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of the present invention, and these equivalent modifications or substitutions are included in the scope of the present invention as defined in the appended claims.
Claims (10)
1. The teaching language specification analysis system based on voice recognition is characterized by comprising a data acquisition module, a teaching language data processing module, a teaching language specification level analysis module, a teaching language level feedback module and a skill level development recording module;
the data acquisition module is used for acquiring teaching video clips recorded in the cloud or uploaded by the platform;
the teaching language data processing module is used for carrying out voice data preprocessing and comparison judgment processing on the teaching video clips to obtain horizontal parameters;
the teaching language specification level analysis module is used for carrying out specification comparison analysis processing on the level parameters to obtain an analysis report;
the teaching language level feedback module is used for integrating and visually presenting the analysis report and feeding back the improvement opinion according to the visual data to obtain a feedback report;
and the skill level development recording module is used for carrying out development recording processing on the skill level according to the feedback report to obtain a level recording result.
2. The system of claim 1, wherein the data acquisition module comprises a cloud recording unit and a platform uploading unit;
the cloud recording unit is used for generating a teaching video clip through a system recording function and uploading the teaching video clip to the cloud;
and the platform uploading unit is used for uploading recorded teaching video clips through the system platform.
3. The system according to claim 1, wherein the teaching language data processing module includes a preprocessing unit and a judging unit;
the preprocessing unit is used for carrying out inspection and identification processing on the teaching video clips to obtain preprocessing data;
and the judging unit is used for comparing and judging the preprocessed data to obtain the horizontal parameter.
4. The system of claim 1, wherein the skill level development record module comprises a personal record unit and a group record unit;
the personal recording unit is used for storing the growth condition of the teaching language specification level skills of the personal user to obtain a personal recording result;
the group recording unit is used for storing the growth conditions of teaching language specification level skills among different groups to obtain group recording results.
5. The system of claim 2, wherein the data acquisition module further comprises an extraction marking unit, wherein the extraction marking unit is configured to extract system platform information to mark the teaching video clip and record video information of the teaching video clip.
6. The system according to claim 3, wherein the preprocessing unit is configured to perform a verification and identification process on the teaching video segment to obtain preprocessed data, and specifically includes:
performing voice recognition and content verification processing on the teaching video segment to obtain verification data;
noise removing processing is carried out on the verification data to obtain noise reduction data;
and performing voice alignment processing on the noise reduction data based on the time base line to obtain preprocessing data.
7. The system of claim 1, further comprising an identity verification module for performing identity verification according to the analysis report request, and if the identity verification is passed, obtaining a level parameter and inputting the level parameter to the teaching language specification level analysis module for comparison analysis.
8. A method for analysis of teaching language specifications based on speech recognition, applied to an analysis system according to any one of claims 1 to 7, characterized in that the method comprises:
acquiring a teaching video clip recorded by a cloud or uploaded by a platform through a data acquisition module;
the teaching video clips are subjected to voice data preprocessing and comparison judgment processing through a teaching language data processing module to obtain horizontal parameters;
carrying out standard comparison analysis processing on the level parameters through a teaching language standard level analysis module to obtain an analysis report;
integrating and visually presenting the analysis report through a teaching language level feedback module, and feeding back improvement comments according to visual data to obtain a feedback report;
and carrying out development record processing on the skill level according to the feedback report by a skill level development record module to obtain a level record result.
9. An electronic device comprising a memory and a processor;
the memory is used for storing programs;
the processor executing the program implements the method of claim 8.
10. A computer readable storage medium storing a computer program, characterized in that the computer program, when executed by a processor, implements the method as claimed in claim 8.
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