CN114093361A - Language model-based blackboard writing autonomous transformation method and system - Google Patents
Language model-based blackboard writing autonomous transformation method and system Download PDFInfo
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Abstract
The application discloses a method and a system for automatically converting blackboard writing based on a language model, wherein the method comprises the following steps: obtaining user voice information through voice recording equipment; preprocessing the voice information of the user to obtain voice processing information; obtaining preset content keywords; extracting the content of the voice processing information according to preset content keywords to obtain blackboard writing extraction content; obtaining typesetting requirement information; typesetting the extracted content of the blackboard writing according to the typesetting requirement information to obtain typesetting blackboard writing information; and obtaining a screen projection instruction according to the typesetting blackboard writing information, wherein the screen projection instruction is used for sending the typesetting blackboard writing information to screen projection equipment for screen projection display. The technical problem that the contents of the on-the-fly explanation of the teacher can not be intelligently and quickly formed into the blackboard-writing in the prior art is solved. The technical effects of assisting students in learning with high understanding efficiency in class, simultaneously facilitating students to quickly record key points and pertinence review after class and finally improving the overall learning quality of the students are achieved.
Description
Technical Field
The application relates to the field of artificial intelligence, in particular to a blackboard-writing autonomous transformation method and system based on a language model.
Background
The teaching language is a carrier of teaching information and is a main tool for teachers to complete teaching tasks. The new knowledge of the students is transmitted by the teaching language, the development of the intelligent enlightening ability of the students is completed by the teaching language, and the happy, harmonious and actively tense learning mood of the students is created by the teaching language. Generally speaking, when teachers should understand the theory, they should have the ability to answer the inquiries in class through the teaching language, handle the inquiries in class, master the dynamics of students through the teaching language adjustment, and deal with the relationship between teachers and students. Therefore, the point where the instructional language is important: the on-site response, improvised performance, and each teacher should relatively improve the ability and intelligence to deal with temporary problems. Aiming at the content of the prompt play explanation of the teacher in class, the corresponding blackboard writing is not prepared in advance, so that the corresponding prompt content blackboard writing is generated intelligently in real time by utilizing a computer language model, and the method has important significance for deepening the understanding of students and improving the learning effect of the students.
In the process of implementing the technical solution in the embodiment of the present application, the inventor of the present application finds that the above-mentioned technology has at least the following technical problems:
the technical problem that the contents of the improvised explanation on the class of a teacher can not be intelligently and quickly formed into the blackboard-writing exists in the prior art.
Disclosure of Invention
The application aims to provide a language model-based blackboard writing autonomous transformation method and system, and the method and system are used for solving the technical problem that the contents of on-class improvisation of a teacher cannot be intelligently and rapidly formed into blackboard writing in the prior art.
In view of the foregoing problems, embodiments of the present application provide a method and system for automatically converting a blackboard writing based on a language model.
In a first aspect, the present application provides a language model-based blackboard writing autonomous transformation method, which is implemented by a language model-based blackboard writing autonomous transformation system, wherein the method includes: obtaining user voice information through voice recording equipment; preprocessing the user voice information to obtain voice processing information; obtaining preset content keywords; extracting the content of the voice processing information according to the preset content keywords to obtain blackboard writing extraction content; obtaining typesetting requirement information; typesetting the extracted content of the blackboard writing according to the typesetting requirement information to obtain typesetting blackboard writing information; and obtaining a screen projection instruction according to the typesetting blackboard writing information, wherein the screen projection instruction is used for sending the typesetting blackboard writing information to the screen projection equipment for screen projection display.
In another aspect, the present application further provides a language model-based blackboard writing autonomous transformation system for performing the language model-based blackboard writing autonomous transformation method according to the first aspect, wherein the system includes: a first obtaining unit: the first obtaining unit is used for obtaining user voice information through voice recording equipment; a second obtaining unit: the second obtaining unit is used for preprocessing the user voice information to obtain voice processing information; a third obtaining unit: the third obtaining unit is used for obtaining preset content keywords; a fourth obtaining unit: the fourth obtaining unit is used for extracting the content of the voice processing information according to the preset content keywords to obtain blackboard writing extraction content; a fifth obtaining unit: the fifth obtaining unit is used for obtaining typesetting requirement information; a sixth obtaining unit: the sixth obtaining unit is configured to perform typesetting on the blackboard-writing extracted content according to the typesetting requirement information to obtain typesetting blackboard-writing information; a first execution unit: the first execution unit is used for obtaining a screen projection instruction according to the typesetting blackboard writing information, and the screen projection instruction is used for sending the typesetting blackboard writing information to screen projection equipment for screen projection display.
In a third aspect, an embodiment of the present application further provides a language model-based blackboard writing autonomous transformation system, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor implements the steps of the method according to the first aspect when executing the program.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
1. obtaining user voice information through voice recording equipment; preprocessing the user voice information to obtain voice processing information; obtaining preset content keywords; extracting the content of the voice processing information according to the preset content keywords to obtain blackboard writing extraction content; obtaining typesetting requirement information; typesetting the extracted content of the blackboard writing according to the typesetting requirement information to obtain typesetting blackboard writing information; and obtaining a screen projection instruction according to the typesetting blackboard writing information, wherein the screen projection instruction is used for sending the typesetting blackboard writing information to the screen projection equipment for screen projection display. The technical effects that the voice recognition result based on the class-hour ad hoc explanation content of the teacher is achieved, the corresponding content is intelligently extracted to serve as the content of the ad hoc supplementary blackboard writing, the content of the ad hoc supplementary blackboard writing is further typeset based on the typesetting requirement, and finally the screen throwing equipment is used for carrying out real-time screen throwing display on the ad hoc supplementary blackboard writing are achieved, efficient understanding and learning on the class of students are assisted, meanwhile, the students can rapidly record key points and post-class targeted review on the class, and finally the overall learning quality of the students is improved are achieved.
2. The voice information of the user collected by the voice recording equipment is filtered based on the voice characteristics of the teacher user, so that the interference of the voice information of the recorded irrelevant personnel on the blackboard-writing result of the blackboard-writing autonomous conversion system is avoided, the blackboard-writing accuracy is influenced, the reliability of the blackboard-writing information is reduced, and even students are misled to understand and learn.
3. The blackboard writing display is carried out through various formats, the blackboard writing content is enriched, the interest of students in learning knowledge is improved, meanwhile, the memory effect of the students is enhanced due to the cooperation of pictures, the blackboard writing is displayed on the basis of different blocks corresponding to the content classification result, the attractiveness of the blackboard writing is improved, meanwhile, the emphasis indication is provided for the review of teachers and students, and the technical effect of improving the learning effect of the students is achieved.
4. Through user voice adjustment, the manual intervention of the blackboard-writing autonomous conversion system is enhanced, so that the blackboard-writing effect is ensured to meet the user expectation, the system reliability and the degree of freedom are enhanced, and the technical effect of improving the system practicability is achieved.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only exemplary, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a schematic flow chart of a method for automatically converting blackboard writing based on a language model according to an embodiment of the present application;
fig. 2 is a schematic flowchart of a process for obtaining the typesetting requirement information in a language model-based blackboard writing autonomous transformation method according to an embodiment of the present application;
fig. 3 is a schematic flowchart illustrating a process of obtaining the screen projection instruction in a language model-based blackboard writing autonomous transformation method according to an embodiment of the present application;
fig. 4 is a schematic flowchart illustrating a process of obtaining a storage instruction in a method for automatically converting a blackboard writing based on a language model according to an embodiment of the present application;
FIG. 5 is a schematic structural diagram of an autonomous blackboard writing conversion system based on a language model according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Description of reference numerals:
a first obtaining unit 11, a second obtaining unit 12, a third obtaining unit 13, a fourth obtaining unit 14, a fifth obtaining unit 15, a sixth obtaining unit 16, a first executing unit 17, a bus 300, a receiver 301, a processor 302, a transmitter 303, a memory 304, and a bus interface 305.
Detailed Description
The embodiment of the application provides the blackboard-writing autonomous conversion method and system based on the language model, and solves the technical problem that the blackboard-writing can not be formed intelligently and rapidly according to the content of the on-class ad-hoc explanation of a teacher in the prior art. The technical effects that the voice recognition result based on the class-hour ad hoc explanation content of the teacher is achieved, the corresponding content is intelligently extracted to serve as the content of the ad hoc supplementary blackboard writing, the content of the ad hoc supplementary blackboard writing is further typeset based on the typesetting requirement, and finally the screen throwing equipment is used for carrying out real-time screen throwing display on the ad hoc supplementary blackboard writing are achieved, efficient understanding and learning on the class of students are assisted, meanwhile, the students can rapidly record key points and post-class targeted review on the class, and finally the overall learning quality of the students is improved are achieved.
In the following, the technical solutions in the embodiments of the present application will be clearly and completely described with reference to the accompanying drawings, and it is to be understood that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments of the present application, and it should be understood that the present application is not limited by the example embodiments described herein. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present application without making any creative effort belong to the protection scope of the present application. It should be further noted that, for the convenience of description, only some but not all of the elements relevant to the present application are shown in the drawings.
Summary of the application
The teaching language is a carrier of teaching information and is a main tool for teachers to complete teaching tasks. The new knowledge of students, the acquisition of new information are transferred by the teaching language, the cultivation of the intelligent enlightening ability of students is completed by the teaching language, and the happy, harmonious, active and tense learning mood of students is created by the teaching language. Generally speaking, when the teacher should understand the theory, the teacher should have the ability to answer the emergency questions in the classroom through the teaching language, handle the emergency in the classroom, master the classroom skillfully through the teaching language, and grasp the student's dynamics through the teaching language adjustment, and harmoniously process the teacher-student relationship. Therefore, the point where the instructional language is important: the on-site response, improvised performance, and each teacher should relatively improve the ability and intelligence to deal with temporary problems. Aiming at the content of the teaching of the teacher in class in an instant manner, the corresponding blackboard-writing is not prepared in advance, so that the corresponding ad-hoc content blackboard-writing is generated intelligently in real time by using a computer language model, and the method has important significance for deepening the understanding of students and improving the learning effect of the students.
The technical problem that the content of the on-the-fly explanation of a teacher in class can not be intelligently and quickly formed into a blackboard-writing exists in the prior art.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
the application provides a language model-based blackboard writing autonomous transformation method, which is applied to a language model-based blackboard writing autonomous transformation system, wherein the method comprises the following steps: obtaining user voice information through voice recording equipment; preprocessing the user voice information to obtain voice processing information; obtaining preset content keywords; extracting the content of the voice processing information according to the preset content keywords to obtain blackboard writing extraction content; obtaining typesetting requirement information; typesetting the extracted content of the blackboard writing according to the typesetting requirement information to obtain typesetting blackboard writing information; and obtaining a screen projection instruction according to the typesetting blackboard writing information, wherein the screen projection instruction is used for sending the typesetting blackboard writing information to the screen projection equipment for screen projection display.
Having thus described the general principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.
Example one
Referring to fig. 1, an embodiment of the present application provides a blackboard writing autonomous transformation method based on a language model, where the method is applied to a blackboard writing autonomous transformation system based on a language model, the blackboard writing autonomous transformation system includes a voice recording device and a screen projection device, and the method specifically includes the following steps:
step S100: obtaining user voice information through voice recording equipment;
specifically, the language model-based blackboard writing autonomous conversion method is applied to the language model-based blackboard writing autonomous conversion system, the corresponding contents can be intelligently extracted to serve as the contents of the improvised supplementary blackboard writing based on the voice recognition result of the content of the improvised lecture in class of a teacher, the contents of the improvised supplementary blackboard writing are further typeset based on the typesetting requirement, and finally the improvised supplementary blackboard writing is subjected to real-time screen-throwing display by using screen-throwing equipment, so that the technical effects of assisting students in learning with high-efficiency understanding in class are achieved, meanwhile, the students can conveniently and rapidly record key points and review after class in class, and finally the overall learning quality of the students is improved. The voice recording device refers to an intelligent device capable of recording and storing voice information in real time, such as a recorder and the like. Through the voice recording equipment, the lecture voice of a teacher user in a class can be recorded in real time, and the user voice information can be obtained. Wherein the user voice information comprises voice information of the on-the-fly explanation of the teacher user. By obtaining the user voice information, the technical effects of obtaining complete teaching voice information of the teacher user in class and further providing a voice data basis for the automatic conversion of subsequent blackboard writing are achieved.
Step S200: preprocessing the user voice information to obtain voice processing information;
specifically, the voice information of all the lectures of the teacher user collected by the voice recording device is preprocessed, and the voice obtained after preprocessing is the voice processing information. Wherein the preprocessing comprises denoising the user voice information. The preprocessing method includes using audio processing software such as Adobe audio and Cool audio, and removing noise data in the user voice information by using similar audio processing software, for example, removing external environment noise information such as airflow in the user voice information, and only retaining high-quality human voice data. Through preprocessing, the collected voice quality of teacher users is improved, the accuracy and the efficiency of the automatic conversion of subsequent blackboard writing are improved, and the technical effect of improving the comprehensive performance of the automatic blackboard writing conversion system is finally achieved.
Step S300: obtaining preset content keywords;
step S400: extracting the content of the voice processing information according to the preset content keywords to obtain blackboard writing extraction content;
specifically, keywords corresponding to teaching contents and teaching information of a teacher user are preset in the blackboard writing autonomous conversion system. For example, a certain teacher user is a junior high school mathematics teacher, and based on the main teaching contents of junior high school mathematics, the blackboard-writing autonomous transformation system presets professional vocabularies of related contents such as 'triangle', 'axisymmetric', 'integer', 'factor' and the like as the preset content keywords; the blackboard-writing autonomous transformation system is characterized in that a teacher user is a junior middle school Chinese teacher, and professional vocabularies of relevant contents such as 'stem wild ancestor', 'turtle longevity', 'poplar praise', 'red wall' and the like are preset as the preset content keywords by the blackboard-writing autonomous transformation system based on the main teaching contents of junior middle school Chinese. Furthermore, according to the preset content keywords, content recognition and extraction are carried out on the collected teacher user voice processing information, so that key content information explained by the teacher user is obtained and is used as original voice data of the intelligent conversion blackboard writing, namely the blackboard writing extraction content. The voice information of the teacher user is intelligently identified and extracted based on the preset content keywords, so that the accuracy of voice information extraction is improved, high accuracy and reliability of the blackboard-writing content are ensured, and the technical effect of accurately and efficiently acquiring the blackboard-writing extracted content is achieved.
Step S500: obtaining typesetting requirement information;
step S600: typesetting the extracted content of the blackboard writing according to the typesetting requirement information to obtain typesetting blackboard writing information;
specifically, the typesetting requirement information refers to the blackboard writing automatic conversion system, and is used for automatically determining the information of the teacher user explaining knowledge points, knowledge types and the like based on the voice content of the teacher user, and further determining the corresponding typesetting requirement information according to different explaining contents. The typesetting requirement information comprises specific information such as typesetting position, display mode and the like. For example, when a teacher user explains a mathematical exercise, a previously spoken type of exercise is temporarily lifted, then the system automatically displays the question stem information of the previously spoken type of exercise in real time based on exercise data mentioned by the teacher user, and further can link to blackboard-writing pictures in the current explanation, so that students can quickly recall the current learning situation conveniently, and a better convergence run-through effect is achieved. And intelligently typesetting the extracted contents of the blackboard writing based on the typesetting requirement information, thereby obtaining typesetting blackboard writing information of the contents of the teacher user in the impromptu explanation. The technical effects of intelligently converting the blackboard writing, saving the time for teachers to temporarily make the blackboard writing and finally improving the teaching quality are achieved.
Step S700: and obtaining a screen projection instruction according to the typesetting blackboard writing information, wherein the screen projection instruction is used for sending the typesetting blackboard writing information to the screen projection equipment for screen projection display.
Specifically, after the content layout is explained for the teacher user, the layout blackboard writing information is obtained. When the typesetting blackboard-writing information is obtained, the blackboard-writing autonomous conversion system automatically sends a screen-throwing instruction for sending the typesetting blackboard-writing information to screen-throwing equipment in the blackboard-writing autonomous conversion system, so that the typesetting blackboard-writing information is subjected to screen-throwing display in real time, and students can watch, study and deepen understanding. Based on the voice recognition result of the class-hour explanation content of the teacher, corresponding content is intelligently extracted to serve as the content of the class-hour supplementary blackboard writing, the content of the class-hour supplementary blackboard writing is further composed based on the composition requirement, and finally screen projection equipment is used for carrying out real-time screen projection display on the class-hour supplementary blackboard writing, so that the technical effects of assisting students in efficiently understanding and learning in classes, simultaneously facilitating the students to quickly record key points and pertinence review after classes, and finally improving the overall learning quality of the students are achieved.
Further, step S200 in the embodiment of the present application further includes:
step S210: obtaining user information;
step S220: obtaining voice and audio characteristics of the user according to the user information;
step S230: filtering the user voice information according to the user voice audio characteristics to obtain first filtered voice information;
step S240: and carrying out noise reduction processing on the first filtered voice information to obtain the voice processing information.
Specifically, firstly, the relevant information of the teacher user to be collected, namely the user information, is obtained, so that the sound feature data of the corresponding teacher user is obtained based on the user information. Such as the tone, timbre and loudness characteristics of the sound corresponding to the teacher user's lecture. Among them, the perception of the sound level by the human ear is called "pitch", and the pitch is high when the frequency of the sound wave mainly related to the frequency of the sound wave is high. For example, a low pitch male bass song singer may be as low as 65 times per second, while a female treble song singer may be as high as 1180 times per second; the subjective feeling of human ears on the strength of sound is called loudness, the loudness is related to the amplitude of sound wave vibration generally, the bigger the amplitude of sound wave vibration is, the bigger the loudness is, and the maximum distance of an object from the original position during vibration is called amplitude; the timbre is the characteristic that people distinguish two sounds with the same loudness and the same tone, or the comprehensive reaction timbre of human ears to sound waves with various frequencies and intensities is related to the vibration waveform of the sound waves or the frequency spectrum structure of the sound. For example, the sound produced by a musical instrument such as a huqin, a piano, a guitar, a flute, etc., can be distinguished by human ears even if the tone and loudness are the same.
Further, the voice data collected by the voice recording device is filtered, so that other voice data except the voice of the teacher user is removed, and pure voice information of the teacher user is obtained, namely the first filtered voice information. For example, when voice recording equipment collects voice in the course of teaching a teacher user, voice information of irrelevant personnel such as students can be wrongly recorded, and irrelevant voice information is filtered out, so that the situation that other voice contents are unnecessarily converted by a system and the blackboard writing is disordered finally is avoided. And finally, carrying out noise reduction processing on the first filtered voice information through audio noise reduction processing software or other modes to obtain the voice processing information.
The voice information of the user collected by the voice recording equipment is filtered based on the voice characteristics of the teacher user, so that the interference of the voice information of the recorded irrelevant personnel on the blackboard-writing result of the blackboard-writing autonomous conversion system is avoided, the blackboard-writing accuracy is influenced, the reliability of the blackboard-writing information is reduced, and even students are misled to understand and learn.
Further, step S400 in the embodiment of the present application further includes:
step S410: obtaining derived vocabulary information according to the preset content keywords;
step S420: and extracting the content of the voice processing information according to the derived vocabulary information and the preset content keywords to obtain the extracted content of the blackboard writing.
Specifically, according to the preset content keyword information preset by the blackboard writing autonomous conversion system, the system automatically acquires the derivative words such as the similar meaning words, the one-meaning multiple words, the spoken language replacement words and the like of each preset content keyword, and further acquires the derivative vocabulary information. For example, the preset content keyword "axisymmetric" may be replaced with "axisymmetric figure", and the "factorization" may be replaced with "do one go", "solve one go", and other spoken languages. And finally, combining the derived vocabulary information and the preset content keywords to extract the content of the processed voice processing information so as to obtain the extracted content of the blackboard writing. Relevant spoken expressions, similar words and the like are derived one by one based on preset content keywords, key recognition vocabularies are further expanded, voice information of a teacher user is extracted by integrating the derived vocabulary information and the preset content keywords, highly accurate and highly effective content extraction can be achieved, and the intelligent degree of the blackboard writing autonomous conversion system is finally improved.
Further, as shown in fig. 2, step S500 in the embodiment of the present application further includes:
step S510: obtaining classification standard information;
step S520: obtaining the classified content characteristics according to the classification standard information;
step S530: classifying the contents extracted from the blackboard writing according to the classified content features to obtain a blackboard writing content classification set, wherein the blackboard writing content classification set comprises a plurality of blackboard writing contents, and each blackboard writing content corresponds to one classification;
step S540: obtaining a display block set according to the blackboard writing content classification set, wherein the display block set corresponds to the blackboard writing content classification set in a one-to-one mode;
step S550: and obtaining the typesetting requirement information according to the display block set and the blackboard writing content classification set, wherein the typesetting requirement information comprises the classified partition typesetting of the blackboard writing contents in the blackboard writing content classification set according to the corresponding relation of the display block set.
Specifically, the classification standard information is preset in the system by the blackboard writing autonomous transformation system according to the blackboard writing habits of the teacher user, the actual situation of the teaching contents and other information. And determining corresponding classification content features based on the classification standard information, and further classifying the blackboard-writing extracted content based on the classification content features to obtain a classification result of the blackboard-writing extracted content, wherein the blackboard-writing extracted content may include a plurality of different content features, and each content feature corresponds to one classification standard, so that the classification standards of all blackboard-writing extracted contents form the blackboard-writing content classification set. For example, when a teacher user explains a knowledge point in class, the teacher user thinks of an old knowledge point learned before, remembers a blackboard-writing with the corresponding conversion of the learned knowledge before, and is a 'review' type content blackboard-writing, if the teacher user explains the current knowledge point, the teacher user reminds the current knowledge point and uses the current knowledge point, and sets a 'review' type content blackboard-writing to be displayed in the left area of the blackboard-writing and a 'prospect' type content blackboard-writing to be displayed in the right area of the blackboard-writing. Further, according to the blackboard-writing content classification set, a display block set is obtained, and the display block set corresponds to the blackboard-writing content classification set in a one-to-one mode. And finally, obtaining the typesetting requirement information according to the display block set and the blackboard writing content classification set. And the typesetting requirement information comprises the blackboard writing contents in the blackboard writing content classification set, and the blackboard writing contents are classified, partitioned and typeset according to the corresponding relation of the display block set.
Through the typesetting requirement information, the blackboard writing autonomous conversion system intelligently classifies the explanation contents of the teacher user, and then determines the generated blackboard writing position block, the classification and partition typesetting achieve the aim of concise blackboard writing, and further, based on the blackboard writing position, the teacher and the students can quickly determine the content category, so that the technical effect of efficient review is achieved.
Further, as shown in fig. 3, step S700 in this embodiment of the present application further includes:
step S710: classifying according to the contents of the blackboard writing to obtain classification display characteristics;
step S720: obtaining a display format according to the classified display characteristics;
step S730: and obtaining the screen projection instruction according to the display format, the blackboard-writing content classification set and the display block set, wherein the screen projection instruction is used for carrying out classification screen projection operation on the blackboard-writing contents in the blackboard-writing content classification set according to the corresponding relation of the display block set, and the display block set can comprise a plurality of display formats.
Specifically, based on the blackboard-writing content classification result, the characteristics of the final blackboard-writing classification display, namely the classification display characteristics, are determined. Further according to the classification display characteristics, determining a format of the corresponding blackboard-writing display, such as a graphic display, a text display, a dynamic picture display or a form. And finally, automatically sending a screen projection instruction by the system based on the display format, the blackboard-writing content classification set and the display block set corresponding to the blackboard-writing. The screen projection instruction is used for classifying and projecting the blackboard-writing contents in the blackboard-writing content classification set according to the corresponding relation of the display block set, and in addition, the display block set can comprise a plurality of display formats. For example, the board writing content extracted by the teacher explanation content is ancient poetry explanation, correspondingly, ancient poetry original texts are main contents and correspond to the most important categories, so that the ancient poetry texts are correspondingly displayed in the middle block of the board writing, the important degree of illustration corresponding to the ancient poetry texts is general, and the ancient poetry texts can be displayed in the block below the board writing.
The blackboard writing display is carried out through various formats, the blackboard writing content is enriched, the interest of students in learning knowledge is improved, meanwhile, the memory effect of the students is enhanced due to the cooperation of pictures, the blackboard writing is displayed on the basis of different blocks corresponding to the content classification result, the attractiveness of the blackboard writing is improved, meanwhile, the emphasis indication is provided for the review of teachers and students, and the technical effect of improving the learning effect of the students is achieved.
Further, step S720 in the embodiment of the present application further includes:
step S721: obtaining display picture design parameters according to the classified display characteristics;
step S722: setting parameters of the display block set according to the display picture design parameters to obtain a classified display effect;
step S723: and executing the screen projection instruction based on the classified display effect.
Specifically, the classification display features include blackboard-writing display form features such as a still picture form, a dynamic animation effect form, and the like, and further, based on the classification display features, display screen design parameters are obtained. The display picture design parameters comprise picture position and proportion parameters corresponding to various contents in the blackboard writing. And further carrying out parameter setting on the display block set by the display picture design parameters, thereby obtaining the effect of dividing the blackboard-writing picture into blocks after classifying the blackboard-writing picture according to the contents of the blackboard-writing, namely the classified display effect. And finally, executing the screen projection instruction sent by the system based on the classified display effect. Tong (Chinese character of 'tong')
The blackboard writing picture parameters are designed, the condition that the ratio of the contents of the subsequent blackboard writing in each block is proper is ensured, the whole blackboard writing is attractive and simple, students can conveniently watch and study, the problems that the students grab wrong key points, the font display ratio is improper, the reading is difficult and the like caused by improper ratio and position and the like are solved.
Further, step S300 in the embodiment of the present application further includes:
step S310: acquiring a subject knowledge database according to the preset content keywords;
step S320: obtaining a voice content evaluation grade according to the voice processing information and the subject knowledge database;
step S330: judging whether the voice content evaluation level meets a preset condition or not;
step S340: and when the preset condition is met, obtaining content identification information, wherein the content identification information is used for identifying the voice processing information meeting the preset condition.
Specifically, a subject knowledge database corresponding to each keyword is obtained based on the preset content keyword information preset by the blackboard writing conversion system. The subject knowledge database comprises all relevant knowledge point information of the student corresponding to the learning stage. Further, according to the voice processing information and the subject knowledge database, evaluating knowledge point information in the content explained by the teacher user, judging whether the corresponding knowledge point is the knowledge point of the subject, and further obtaining the voice content evaluation level. For example, if the teacher user explains the content as a subject important knowledge point, the evaluation of the voice content of the teacher is a first level; if the teacher user explains the content as a subject general knowledge point, evaluating the voice content of the teacher as a second level; and if the teacher user explains that the content is not a subject knowledge point, evaluating the voice content of the teacher to be in three levels.
And intelligently judging whether the voice content evaluation level meets a preset condition, and if so, acquiring content identification information. Wherein the content identification information is used for identifying the voice processing information meeting the predetermined condition. The predetermined condition refers to knowledge points belonging to the learning range of the student, which are comprehensively determined by the system comprehensively analyzing knowledge point information of each subject and the like. For example, if the explanation content of the teacher user is not a subject knowledge point, the evaluation of the teacher speech content is of three levels, and the corresponding explanation content does not belong to the predetermined condition. The technical effect of intelligently judging whether the teacher explains the content and needs to supplement the blackboard writing is achieved.
Further, as shown in fig. 4, the embodiment of the present application further includes step S800:
step S810: acquiring a user adjustment voice requirement;
step S820: recognizing and extracting the user adjustment voice requirement to obtain adjustment content;
step S830: adjusting the typesetting blackboard writing information according to the adjustment content, and projecting the adjusted typesetting blackboard writing to the screen projection equipment;
step S840: and obtaining a storage instruction, wherein the storage instruction is used for storing the adjusted typesetting blackboard writing information.
Specifically, the user adjusting the voice requirement means that the user self-evaluates whether the blackboard writing needs to be converted into the blackboard writing or adjusts the blackboard writing converted by the system based on the voice information of the explanation content, so that errors are avoided, and the student is helped to understand the blackboard writing. For example, after the system converts the explanation content of the teacher user into the blackboard writing, the teacher checks the conversion result and finds that the conversion result is wrong, so the system intelligent conversion result is adjusted through various modes such as voice input, manual editing and the like. When a user inputs an adjustment blackboard writing through voice, the system automatically identifies and extracts the voice adjustment requirement of the user, so that content information corresponding to the adjustment requirement is obtained. And further adjusting the typesetting blackboard-writing information, and projecting the adjusted typesetting blackboard-writing to the screen projection equipment. In addition, based on a storage instruction sent by the system, the adjusted typesetting blackboard writing information is intelligently stored.
Through user voice adjustment, the manual intervention of the blackboard-writing autonomous conversion system is enhanced, so that the blackboard-writing effect is ensured to meet the user expectation, the system reliability and the degree of freedom are enhanced, and the technical effect of improving the system practicability is achieved.
To sum up, the blackboard writing autonomous transformation method based on the language model provided by the embodiment of the application has the following technical effects:
1. obtaining user voice information through voice recording equipment; preprocessing the user voice information to obtain voice processing information; obtaining preset content keywords; extracting the content of the voice processing information according to the preset content keywords to obtain blackboard writing extraction content; obtaining typesetting requirement information; typesetting the extracted content of the blackboard writing according to the typesetting requirement information to obtain typesetting blackboard writing information; and obtaining a screen projection instruction according to the typesetting blackboard writing information, wherein the screen projection instruction is used for sending the typesetting blackboard writing information to the screen projection equipment for screen projection display. The technical effects that the voice recognition result based on the class-hour ad hoc explanation content of the teacher is achieved, the corresponding content is intelligently extracted to serve as the content of the ad hoc supplementary blackboard writing, the content of the ad hoc supplementary blackboard writing is further typeset based on the typesetting requirement, and finally the screen throwing equipment is used for carrying out real-time screen throwing display on the ad hoc supplementary blackboard writing are achieved, efficient understanding and learning on the class of students are assisted, meanwhile, the students can rapidly record key points and post-class targeted review on the class, and finally the overall learning quality of the students is improved are achieved.
2. The voice information of the user collected by the voice recording equipment is filtered based on the voice characteristics of the teacher user, so that the interference of the voice information of the recorded irrelevant personnel on the blackboard-writing result of the blackboard-writing autonomous conversion system is avoided, the blackboard-writing accuracy is influenced, the reliability of the blackboard-writing information is reduced, and even students are misled to understand and learn.
3. The blackboard writing display is carried out through various formats, the blackboard writing content is enriched, the interest of students in learning knowledge is improved, meanwhile, the memory effect of the students is enhanced due to the cooperation of pictures, the blackboard writing is displayed on the basis of different blocks corresponding to the content classification result, the attractiveness of the blackboard writing is improved, meanwhile, the emphasis indication is provided for the review of teachers and students, and the technical effect of improving the learning effect of the students is achieved.
4. Through user voice adjustment, the manual intervention of the blackboard-writing autonomous conversion system is enhanced, so that the blackboard-writing effect is ensured to meet the user expectation, the system reliability and the degree of freedom are enhanced, and the technical effect of improving the system practicability is achieved.
Example two
Based on the same inventive concept as the method for automatically converting blackboard writing based on the language model in the foregoing embodiment, the present invention further provides an automatic converting system for blackboard writing based on the language model, please refer to fig. 5, where the system includes:
a first obtaining unit 11, where the first obtaining unit 11 is configured to obtain user voice information through a voice recording device;
a second obtaining unit 12, where the second obtaining unit 12 is configured to pre-process the user voice information to obtain voice processing information;
a third obtaining unit 13, where the third obtaining unit 13 is configured to obtain a preset content keyword;
a fourth obtaining unit 14, where the fourth obtaining unit 14 is configured to perform content extraction on the voice processing information according to the preset content keyword, so as to obtain a blackboard writing extraction content;
a fifth obtaining unit 15, where the fifth obtaining unit 15 is configured to obtain the layout requirement information;
a sixth obtaining unit 16, where the sixth obtaining unit 16 is configured to perform typesetting on the blackboard-writing extracted content according to the typesetting requirement information, so as to obtain typesetting blackboard-writing information;
and the first execution unit 17 is used for obtaining a screen projection instruction according to the typesetting blackboard writing information, and the screen projection instruction is used for sending the typesetting blackboard writing information to screen projection equipment for screen projection display.
Further, the system further comprises:
a seventh obtaining unit configured to obtain user information;
an eighth obtaining unit, configured to obtain a user voice audio feature according to the user information;
a ninth obtaining unit, configured to filter the user voice information according to the user voice audio feature to obtain first filtered voice information;
a tenth obtaining unit, configured to perform noise reduction processing on the first filtered speech information, and obtain the speech processing information.
Further, the system further comprises:
an eleventh obtaining unit, configured to obtain derived vocabulary information according to the preset content keyword;
a twelfth obtaining unit, configured to perform content extraction on the speech processing information according to the derived vocabulary information and the preset content keywords, and obtain the blackboard writing extraction content.
Further, the system further comprises:
a thirteenth obtaining unit configured to obtain classification criterion information;
a fourteenth obtaining unit, configured to obtain a feature of the classified content according to the classification criterion information;
a fifteenth obtaining unit, configured to classify the blackboard-writing extracted content according to the classified content features to obtain a blackboard-writing content classification set, where the blackboard-writing content classification set includes a plurality of blackboard-writing contents, and each blackboard-writing content corresponds to one classification;
a sixteenth obtaining unit, configured to obtain a display block set according to the blackboard writing content classification set, where the display block set corresponds to the blackboard writing content classification set in a one-to-one manner;
a seventeenth obtaining unit, configured to obtain the layout requirement information according to the display block set and the blackboard writing content classification set, where the layout requirement information includes that blackboard writing contents in the blackboard writing content classification set are classified, partitioned and laid out according to a corresponding relationship of the display block set.
Further, the system further comprises:
an eighteenth obtaining unit, configured to obtain classification display features according to blackboard writing content classification;
a nineteenth obtaining unit, configured to obtain a display format according to the classification display feature;
a twentieth obtaining unit, configured to obtain the screen projection instruction according to the display format, the blackboard writing content classification set, and the display block set, where the screen projection instruction is used to perform classification screen projection operation on blackboard writing content in the blackboard writing content classification set according to a corresponding relationship of the display block set, and the display block set may include multiple display formats.
Further, the system further comprises:
a twenty-first obtaining unit, configured to obtain a display screen design parameter according to the classified display feature;
a twenty-second obtaining unit, configured to perform parameter setting on the display block set according to the display screen design parameter, so as to obtain a classified display effect;
and the second execution unit is used for executing the screen projection instruction based on the classified display effect.
Further, the system further comprises:
a twenty-third obtaining unit, configured to obtain a subject knowledge database according to the preset content keyword;
a twenty-fourth obtaining unit, configured to obtain a speech content evaluation level according to the speech processing information and the subject knowledge database;
a first judging unit, configured to judge whether the voice content evaluation level satisfies a predetermined condition;
a twenty-fifth obtaining unit configured to, when satisfied, obtain content identification information for identifying the voice processing information that satisfies the predetermined condition.
Further, the system further comprises:
a twenty-sixth obtaining unit, configured to obtain a user adjustment voice requirement;
a twenty-seventh obtaining unit, configured to recognize and extract the user adjustment voice requirement, and obtain an adjustment content;
a third execution unit, configured to adjust the typesetting blackboard-writing information according to the adjustment content, and screen-cast the adjusted typesetting blackboard-writing to the screen-casting device;
and the fourth execution unit is used for obtaining a storage instruction, and the storage instruction is used for storing the adjusted typesetting blackboard writing information.
The embodiments in the present specification are described in a progressive manner, each embodiment focuses on the difference from other embodiments, the language model-based board book autonomous transformation method and the specific example in the first embodiment of fig. 1 are also applicable to the language model-based board book autonomous transformation system in the present embodiment, and through the foregoing detailed description of the language model-based board book autonomous transformation method, a person skilled in the art can clearly know the language model-based board book autonomous transformation system in the present embodiment, so for the brevity of the description, detailed description is not repeated here. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Exemplary electronic device
The electronic apparatus of the embodiment of the present application is described below with reference to fig. 6.
Fig. 6 illustrates a schematic structural diagram of an electronic device according to an embodiment of the present application.
Based on the inventive concept of the language model-based blackboard writing autonomous transformation method in the foregoing embodiments, the present invention further provides a language model-based blackboard writing autonomous transformation system, on which a computer program is stored, and the computer program, when executed by a processor, implements the steps of any one of the foregoing language model-based blackboard writing autonomous transformation methods.
Where in fig. 6 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 305 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other apparatus over a transmission medium.
The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.
The application provides a language model-based blackboard writing autonomous transformation method, which is applied to a language model-based blackboard writing autonomous transformation system, wherein the method comprises the following steps: obtaining user voice information through voice recording equipment; preprocessing the user voice information to obtain voice processing information; obtaining preset content keywords; extracting the content of the voice processing information according to the preset content keywords to obtain blackboard writing extraction content; obtaining typesetting requirement information; typesetting the extracted content of the blackboard writing according to the typesetting requirement information to obtain typesetting blackboard writing information; and obtaining a screen projection instruction according to the typesetting blackboard writing information, wherein the screen projection instruction is used for sending the typesetting blackboard writing information to the screen projection equipment for screen projection display. The technical problem that the contents of the on-the-fly explanation of the teacher can not be intelligently and quickly formed into the blackboard-writing in the prior art is solved. The method achieves the technical effects that the voice recognition result based on the content of the on-class ad hoc explanation of the teacher is achieved, the corresponding content is intelligently extracted to serve as the content of the on-class ad hoc blackboard writing, the content of the on-class ad hoc blackboard writing is further typeset based on the typesetting requirement, and finally the on-screen device is used for displaying the on-screen ad hoc blackboard writing in real time, so that the on-class efficient understanding and learning of students are assisted, meanwhile, the students can rapidly record key points in class and perform targeted review after class, and finally the overall learning quality of the students is improved.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, apparatus, or computer program product. Accordingly, the present application may take the form of an entirely software embodiment, an entirely hardware embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application is in the form of a computer program product that may be embodied on one or more computer-usable storage media having computer-usable program code embodied therewith. And such computer-usable storage media include, but are not limited to: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk Memory, a Compact Disc Read-Only Memory (CD-ROM), and an optical Memory.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a system for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction system which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A blackboard-writing autonomous transformation method based on a language model is applied to a blackboard-writing autonomous transformation system, the blackboard-writing autonomous transformation system comprises voice recording equipment and screen projection equipment, and the method comprises the following steps:
obtaining user voice information through voice recording equipment;
preprocessing the user voice information to obtain voice processing information;
obtaining preset content keywords;
extracting the content of the voice processing information according to the preset content keywords to obtain blackboard writing extraction content;
obtaining typesetting requirement information;
typesetting the extracted contents of the blackboard writing according to the typesetting requirement information to obtain typesetting blackboard writing information;
and obtaining a screen projection instruction according to the typesetting blackboard writing information, wherein the screen projection instruction is used for sending the typesetting blackboard writing information to the screen projection equipment for screen projection display.
2. The method of claim 1, wherein said pre-processing said user speech information to obtain speech processing information comprises:
obtaining user information;
acquiring voice audio features of the user according to the user information;
filtering the user voice information according to the user voice audio characteristics to obtain first filtered voice information;
and carrying out noise reduction processing on the first filtered voice information to obtain the voice processing information.
3. The method of claim 1, wherein the method further comprises:
obtaining derived vocabulary information according to the preset content keywords;
and extracting the content of the voice processing information according to the derived vocabulary information and the preset content keywords to obtain the extracted content of the blackboard writing.
4. The method of claim 1, wherein the method further comprises:
obtaining classification standard information;
obtaining the classified content characteristics according to the classification standard information;
classifying the contents extracted from the blackboard writing according to the classified content features to obtain a blackboard writing content classification set, wherein the blackboard writing content classification set comprises a plurality of blackboard writing contents, and each blackboard writing content corresponds to one classification;
obtaining a display block set according to the blackboard writing content classification set, wherein the display block set corresponds to the blackboard writing content classification set in a one-to-one mode;
and obtaining the typesetting requirement information according to the display block set and the blackboard writing content classification set, wherein the typesetting requirement information comprises the classified partition typesetting of the blackboard writing contents in the blackboard writing content classification set according to the corresponding relation of the display block set.
5. The method of claim 4, wherein the method further comprises:
classifying according to the contents of the blackboard writing to obtain classification display characteristics;
obtaining a display format according to the classified display characteristics;
and obtaining the screen projection instruction according to the display format, the blackboard-writing content classification set and the display block set, wherein the screen projection instruction is used for carrying out classification screen projection operation on the blackboard-writing contents in the blackboard-writing content classification set according to the corresponding relation of the display block set, and the display block set can comprise a plurality of display formats.
6. The method of claim 5, wherein the method further comprises:
obtaining display picture design parameters according to the classified display characteristics;
setting parameters of the display block set according to the display picture design parameters to obtain a classified display effect;
and executing the screen projection instruction based on the classified display effect.
7. The method of claim 1, wherein the method further comprises:
acquiring a subject knowledge database according to the preset content keywords;
obtaining a voice content evaluation grade according to the voice processing information and the subject knowledge database;
judging whether the voice content evaluation level meets a preset condition or not;
and when the preset condition is met, obtaining content identification information, wherein the content identification information is used for identifying the voice processing information meeting the preset condition.
8. The method of claim 1, wherein the method further comprises:
acquiring a user adjustment voice requirement;
recognizing and extracting the user adjustment voice requirement to obtain adjustment content;
adjusting the typesetting blackboard writing information according to the adjustment content, and projecting the adjusted typesetting blackboard writing to the screen projection equipment;
and obtaining a storage instruction, wherein the storage instruction is used for storing the adjusted typesetting blackboard writing information.
9. An automatic blackboard-writing conversion system based on a language model, which is characterized by comprising:
a first obtaining unit: the first obtaining unit is used for obtaining user voice information through voice recording equipment;
a second obtaining unit: the second obtaining unit is used for preprocessing the user voice information to obtain voice processing information;
a third obtaining unit: the third obtaining unit is used for obtaining preset content keywords;
a fourth obtaining unit: the fourth obtaining unit is used for extracting the content of the voice processing information according to the preset content keyword to obtain blackboard writing extracted content;
a fifth obtaining unit: the fifth obtaining unit is used for obtaining typesetting requirement information;
a sixth obtaining unit: the sixth obtaining unit is used for typesetting the extracted content of the blackboard writing according to the typesetting requirement information to obtain typesetting blackboard writing information;
a first execution unit: the first execution unit is used for obtaining a screen projection instruction according to the typesetting blackboard writing information, and the screen projection instruction is used for sending the typesetting blackboard writing information to screen projection equipment for screen projection display.
10. A language model-based blackboard writing autonomous transformation system, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of the method according to any one of claims 1 to 8.
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| CN116347134A (en) * | 2023-03-29 | 2023-06-27 | 深圳市联合信息技术有限公司 | Set top box audio processing system and method based on artificial intelligence teaching classroom |
| CN116347134B (en) * | 2023-03-29 | 2024-01-30 | 深圳市联合信息技术有限公司 | Set top box audio processing system and method based on artificial intelligence teaching classroom |
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