CN112102670B - Teaching auxiliary system based on voice control and working method thereof - Google Patents
Teaching auxiliary system based on voice control and working method thereof Download PDFInfo
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- CN112102670B CN112102670B CN202011092955.6A CN202011092955A CN112102670B CN 112102670 B CN112102670 B CN 112102670B CN 202011092955 A CN202011092955 A CN 202011092955A CN 112102670 B CN112102670 B CN 112102670B
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- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B5/00—Electrically-operated educational appliances
- G09B5/06—Electrically-operated educational appliances with both visual and audible presentation of the material to be studied
- G09B5/065—Combinations of audio and video presentations, e.g. videotapes, videodiscs, television systems
Abstract
The invention discloses a teaching auxiliary system based on sound control and a working method thereof, wherein a voice recognition device is used for receiving the voice of a lecturer and converting the voice into character data; the courseware server comprises a courseware storage module, a stage analysis module, a comparison judgment module and a time duration monitoring module; courseware data are stored in the courseware storage module; the stage analysis module analyzes the courseware data to divide teaching stages and generates keywords and teaching time periods corresponding to each teaching stage; the comparison judging module compares the character data with the keywords to judge the current teaching stage; the time length monitoring module is used for timing the current teaching stage and generating a prompt signal after the timing time length exceeds the corresponding teaching time period; the progress prompting device carries out progress degree prompting after receiving the prompting signal. The invention has the advantage that the effect of automatically prompting the teaching progress of the lecturer is achieved by comparing and analyzing the courseware and the lecture content.
Description
Technical Field
The invention belongs to the technical field of teaching assistance, and particularly relates to a teaching assistance system based on voice control and a working method thereof.
Background
With the development of teaching technology, electronic teaching solutions are increasingly applied in the teaching process, and the lecturer usually writes the teaching solutions in advance and stores the teaching solutions on the network. In the course of giving lessons, the person giving lessons can not see the teaching notes in real time to give lessons, and the person giving lessons can not effectively grasp the progress of giving lessons. However, no technical scheme for effectively prompting the teaching progress of the lecturer through courseware exists in the prior art.
Disclosure of Invention
The invention aims to provide a teaching auxiliary system based on voice control and a working method thereof according to the defects of the prior art, and the teaching auxiliary system achieves the effect of automatically prompting the teaching progress of a lecturer by comparing and analyzing courseware and lecture contents.
The purpose of the invention is realized by the following technical scheme:
a teaching auxiliary system based on voice control comprises a voice recognition device, a courseware server and a progress prompting device; the voice recognition device is used for receiving the voice of the lecturer and converting the voice into character data; the courseware server comprises a courseware storage module, a stage analysis module, a comparison judgment module and a time duration monitoring module; courseware data are stored in the courseware storage module; the stage analysis module is connected with the courseware storage module and used for analyzing the courseware data to divide teaching stages and generating keywords and teaching time periods corresponding to each teaching stage; the comparison judging module is respectively connected with the voice recognition device and the stage analysis module and is used for comparing the text data with the keywords to judge the current teaching stage; the time length monitoring module is respectively connected with the comparison judging module and the stage analyzing module and is used for timing the current teaching stage and generating a prompt signal after the timing time length exceeds the corresponding teaching time period; the progress prompting device is connected with the duration monitoring module and used for carrying out progress prompting after the prompting signal is received.
The phase analysis module includes:
the type judging unit is used for carrying out data retrieval on the courseware text data, if a node word is retrieved, the courseware text data are transferred to the standard analyzing unit, and if not, the courseware text data are transferred to the non-standard unit;
the standard analysis unit is connected with the type judgment unit and is used for segmenting the courseware text data according to the node words to generate a plurality of data segments, and each data segment corresponds to one teaching stage;
the non-standard analysis unit is connected with the type judgment unit and is used for segmenting the courseware text data without the node words to generate a plurality of data segments;
the keyword extraction unit is respectively connected with the standard analysis unit and the non-standard analysis unit and is used for screening each data segment and selecting the word with the largest repeated occurrence frequency as the keyword corresponding to the data segment;
the time length extraction unit is respectively connected with the standard analysis unit and the non-standard analysis unit and is used for analyzing the text length of each data segment and acquiring the teaching time interval occupied by each data segment.
The non-standard analysis unit is used for dividing the courseware text data into a plurality of continuous statement data by taking a period as a node, analyzing the adjacent statement data in sequence, merging the adjacent statement data into one data segment if the two have the same field, and completing the division of the previous data segment and merging the next statement data into the next data segment if the two do not have the same field.
The courseware storage module comprises:
the courseware input unit is used for receiving courseware text data of the courses;
and the duration recording unit is used for receiving the preset duration of the course.
The duration monitoring module comprises:
the time judging unit is respectively connected with the duration inputting unit and the comparison judging module and is used for determining the specific duration of each teaching stage according to the preset duration and the teaching time period if the preset duration exists; if not, recording teaching time corresponding to the first teaching stage, and determining the specific duration of each teaching stage according to the teaching time and the teaching time period;
and the overtime judging unit is connected with the time judging unit and used for recording the current real-time duration of the teaching stage, comparing the real-time duration with the specific duration corresponding to the teaching stage and judging whether the real-time duration is overtime or not.
The progress prompting device is an indicator lamp.
A working method related to any one of the teaching auxiliary systems based on the voice control comprises the following steps: receiving and storing courseware data by adopting a courseware storage module; analyzing the lesson data by adopting a stage analysis module to divide teaching stages and generating keywords and teaching time periods corresponding to each teaching stage; receiving the voice of the lecturer by adopting a voice recognition device, converting the voice into character data, and comparing the character data with the keyword by adopting a comparison and judgment module to judge the current teaching stage; timing the current teaching stage by adopting a time length monitoring module, and sending a prompt signal to the progress prompting device after the timing time length exceeds the corresponding teaching time period; and the progress prompting device carries out progress prompting after receiving the prompting signal.
The process of analyzing the lesson data to divide teaching stages and generating keywords and teaching time periods corresponding to each teaching stage comprises the following steps:
adopting a type judgment unit to carry out data retrieval on the courseware text data, if a node word is retrieved, transferring the courseware text data to a standard analysis unit, and if not, transferring to a non-standard unit;
segmenting the courseware text data by adopting the standard analysis unit according to the node words to generate a plurality of data segments, wherein each data segment corresponds to one teaching stage;
segmenting the courseware text data without node words by adopting the non-standard analysis unit to generate a plurality of data segments;
screening each data segment by adopting a keyword extraction unit, and selecting a word with the most repeated occurrence times as the keyword corresponding to the data segment;
and analyzing the text length of each data segment by adopting a time length extraction unit to obtain the teaching time period occupied by each data segment.
In the process of segmenting the courseware text data without node words to generate a plurality of data segments, the method comprises the following steps: and dividing the courseware text data into a plurality of continuous statement data by taking a statement as a node, analyzing the adjacent statement data in sequence, merging the adjacent statement data into one data segment if the two have the same field, and completing the division of the previous data segment and merging the next statement data into the next data segment if the two have the same field.
The invention has the advantages that: courseware can be automatically analyzed, and course progress is divided; can monitor the course progress through speech recognition classroom progress, reach the effect of automatic suggestion person's teaching progress.
Drawings
FIG. 1 is a schematic structural diagram of a teaching assistance system based on voice control according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a stage analysis module in an embodiment of the present invention.
Detailed Description
The features of the present invention and other related features are described in further detail below by way of example in conjunction with the following drawings to facilitate understanding by those skilled in the art:
referring to fig. 1-2, the labels in the figure are: the system comprises a courseware server 1, a voice recognition device 2, a progress prompting device 3, a courseware storage module 4, a stage analysis module 5, a comparison judgment module 6, a duration monitoring module 7, a type judgment unit 8, a standard analysis unit 9, a non-standard analysis unit 10, a keyword extraction unit 11 and a duration extraction unit 12.
Example (b): as shown in fig. 1-2, the present embodiment specifically relates to a teaching assistance system based on voice control, which achieves the effect of automatically prompting the teaching progress of a lecturer by comparing and analyzing courseware and lecture content.
As shown in fig. 1, the teaching assistance system based on voice control in the present embodiment includes a voice recognition device 2, a courseware server 1, and a progress prompt device 3; the voice recognition device 2 is used for receiving the voice of the lecturer and converting the voice into character data; the courseware server 1 comprises a courseware storage module 4, a stage analysis module 5, a comparison judgment module 6 and a time duration monitoring module 7; courseware data are stored in the courseware storage module 4; the stage analysis module 5 is connected with the courseware storage module 4 and used for analyzing courseware data to divide teaching stages and generating keywords and teaching time periods corresponding to each teaching stage; the comparison judging module 6 is respectively connected with the voice recognition device 2 and the stage analysis module 5 and is used for comparing the character data with the keywords to judge the current teaching stage; the time length monitoring module 7 is respectively connected with the comparison judging module 6 and the stage analyzing module 5, and is used for timing the current teaching stage and generating a prompt signal after the timing time length exceeds the corresponding teaching time period; the progress prompting device 3 is connected with the duration monitoring module 7 and is used for carrying out progress degree prompting after receiving the prompting signal.
As shown in fig. 1, in this embodiment, a courseware server 1 is used to store and analyze courseware, a voice recognition device 2 is used to recognize voice of on-site teaching, and then received voice information is compared with data analyzed in advance in the courseware server 1, so as to achieve the purpose of determining course progress according to voice of on-site teaching. Furthermore, because the teaching time of the course is fixed, in order to achieve a better teaching effect, the teaching time of each teaching stage needs to be controlled, the time duration monitoring module 7 is used for timing based on the judgment of the current course progress, whether the teaching time of the current teaching stage is overtime is judged, and a signal is sent out through the progress prompting device 3 after the overtime, so that the teaching progress is prompted to accelerate. When the progress indicator 3 is an indicator lamp, the indicator lamp is turned on to indicate the lecturer.
As shown in fig. 2, in this embodiment, the phase analysis module 5 includes: a type judging unit 8, a standard analyzing unit 9, a non-standard analyzing unit 109, a keyword extracting unit 11, and a duration extracting unit 12. And respectively executing operations of splitting, segmenting and analyzing the courseware text data and extracting key information.
As shown in fig. 2, in this embodiment, the type determining unit 8 is configured to perform data retrieval on courseware text data, and if a node word is retrieved, the courseware text data is transferred to the standard analyzing unit 9, and if not, the courseware text data is transferred to the non-standard unit; the standard analysis unit 9 is connected with the type judgment unit 8 and is used for segmenting the courseware text data according to the node words to generate a plurality of data segments, and each data segment corresponds to a teaching stage; the nonstandard parsing unit 109 and the connection type determining unit 8 are configured to segment the courseware text data without node words to generate a plurality of data segments, and the specific process is as follows: dividing the courseware text data into a plurality of continuous statement data by taking the statement number as a node, analyzing the adjacent statement data in sequence, merging the statement data into a data segment if the statement data and the adjacent statement data have the same field, and completing the division of the previous data segment and merging the next statement data into the next data segment if the statement data and the adjacent statement data do not have the same field. The type determining unit 8 first determines the text structure of the courseware text data, and uses whether there are node words as a mode for determining whether to perform parsing according to the dividing requirement, where the node words refer to words that divide paragraphs with numbers as symbols, and include but are not limited to the following cases: 1. 2, 3 …; one, two, three …; (1) and (2) (3) …. Aiming at the courseware text data with node words, the standard analysis unit 9 divides data segments according to the positions of the node words in the courseware text data, which is equivalent to dividing a teaching stage. And for courseware text data without node words, division is needed according to the specific content of courseware. The courseware in the same teaching stage has the same words and sentences, so that the basic units of the sentences are used for analyzing pairwise, and the effect of dividing data segments is realized.
As shown in fig. 2, in the present embodiment, the keyword extracting unit 11 is respectively connected to the standard parsing unit 9 and the non-standard parsing unit 109, and is configured to screen each data segment, and select a word with the largest number of repeated occurrences as a keyword corresponding to the data segment; the duration extraction unit 12 is respectively connected to the standard analysis unit 9 and the non-standard analysis unit 109, and is configured to analyze the text length of each data segment to obtain the teaching time period occupied by each data segment. After the standard parsing unit 9 and the non-standard parsing unit 109 parse, the keywords and the teaching time period of each teaching stage are extracted by the keyword extraction unit 11 and the time period extraction unit 12. The keywords are determined according to the occurrence frequency, the teaching time period is determined according to the text length ratio, and the teaching time period refers to the temporary duration proportion of the corresponding teaching stage in the total course.
The courseware storage module 4 includes: the courseware input unit is used for receiving courseware text data of the courses; and the duration recording unit is used for receiving the preset duration of the course. The duration monitoring module 7 includes: the time judging unit is respectively connected with the duration recording unit and the comparison judging module 6 and is used for determining the specific duration of each teaching stage according to the preset duration and the teaching time period if the preset duration exists; if not, recording teaching time corresponding to the first teaching stage, and determining the specific duration of each teaching stage according to the teaching time and the teaching time period; and the overtime judging unit is connected with the time judging unit and is used for recording the real-time duration of the current teaching stage, comparing the real-time duration with the specific duration corresponding to the teaching stage and judging whether the real-time duration is overtime or not.
The courseware storage module 4 can receive preset duration specified by the lecturer, and the time judgment unit can directly determine the specific duration of each teaching stage according to the preset duration. For the condition that the preset time length is not set, the actual teaching condition of the lecturer is determined, namely the teaching time corresponding to the first teaching stage, and since the condition of each teaching time length is known in advance, the time judgment unit carries out reverse derivation to obtain the total teaching time length, so as to obtain the specific time length corresponding to each teaching time length. The overtime judging unit directly judges whether overtime exists according to the specific duration.
The working method of the teaching auxiliary system based on the voice control in the embodiment comprises the following steps: receiving and storing courseware data by adopting a courseware storage module 4; a stage analysis module 5 is adopted to analyze the lesson data to divide teaching stages and generate keywords and teaching time periods corresponding to each teaching stage; a voice recognition device 2 is adopted to receive the voice of the lecturer and convert the voice into character data, and a comparison judgment module 6 is adopted to compare the character data with the keywords so as to judge the current teaching stage; timing the current teaching stage by adopting a time length monitoring module 7, and sending a prompt signal to the progress prompting device 3 after the timing time length exceeds the corresponding teaching time period; the progress presentation device 3 performs progress presentation after receiving the presentation signal.
The process of analyzing the lesson data to divide teaching stages and generating keywords and teaching time periods corresponding to each teaching stage comprises the following steps: the type judgment unit 8 is adopted to carry out data retrieval on the courseware text data, if a node word is retrieved, the courseware text data is transferred to the standard analysis unit 9, and if not, the courseware text data is transferred to the non-standard unit; segmenting courseware text data by adopting a standard analysis unit 9 according to the node words to generate a plurality of data segments, wherein each data segment corresponds to a teaching stage; segmenting courseware text data without node words by adopting a non-standard analysis unit 109 to generate a plurality of data segments; screening each data segment by adopting a keyword extraction unit 11, and selecting a word with the most repeated occurrence times as a keyword corresponding to the data segment; the duration extraction unit 12 is adopted to analyze the text length of each data segment, and the teaching time interval occupied by each data segment is obtained.
In the process of segmenting the courseware text data without node words to generate a plurality of data segments, the method comprises the following steps: dividing the courseware text data into a plurality of continuous statement data by taking the statement number as a node, analyzing the adjacent statement data in sequence, merging the statement data into a data segment if the statement data and the adjacent statement data have the same field, and completing the division of the previous data segment and merging the next statement data into the next data segment if the statement data and the adjacent statement data do not have the same field.
The embodiment has the following advantages: courseware can be automatically analyzed, and course progress is divided; can monitor the course progress through speech recognition classroom progress, reach the effect of automatic suggestion person's teaching progress.
Claims (5)
1. A teaching auxiliary system based on voice control is characterized by comprising a voice recognition device, a courseware server and a progress prompting device;
the voice recognition device is used for receiving the voice of the lecturer and converting the voice into character data;
the courseware server comprises a courseware storage module, a stage analysis module, a comparison judgment module and a time duration monitoring module; courseware text data are stored in the courseware storage module; the stage analysis module is connected with the courseware storage module and used for analyzing the courseware text data to divide teaching stages and generating keywords and teaching time periods corresponding to each teaching stage; the comparison judging module is respectively connected with the voice recognition device and the stage analysis module and is used for comparing the text data with the keywords to judge the current teaching stage; the time length monitoring module is respectively connected with the comparison judging module and the stage analyzing module and is used for timing the current teaching stage and generating a prompt signal after the timing time length exceeds the corresponding teaching time period;
the progress prompting device is connected with the duration monitoring module and is used for carrying out progress prompting after the prompting signal is received;
the phase analysis module includes:
the type judging unit is used for carrying out data retrieval on the courseware text data, if a node word is retrieved, the courseware text data are transferred to the standard analyzing unit, and if not, the courseware text data are transferred to the non-standard analyzing unit;
the standard analysis unit is connected with the type judgment unit and is used for segmenting the courseware text data according to the node words to generate a plurality of data segments, and each data segment corresponds to one teaching stage;
the non-standard analysis unit is connected with the type judgment unit and is used for segmenting the courseware text data without the node words to generate a plurality of data segments; the non-standard analysis unit is used for dividing the courseware text data into a plurality of continuous statement data by taking a period as a node, analyzing the adjacent statement data in sequence, merging the adjacent statement data into one data segment if the two have the same field, and completing the division of the previous data segment and merging the next statement data into the next data segment if the two do not have the same field;
the keyword extraction unit is respectively connected with the standard analysis unit and the non-standard analysis unit and is used for screening each data segment and selecting the word with the largest repeated occurrence frequency as the keyword corresponding to the data segment;
the time length extraction unit is respectively connected with the standard analysis unit and the non-standard analysis unit and is used for analyzing the text length of each data segment and acquiring the teaching time interval occupied by each data segment.
2. The system of claim 1, wherein the courseware storage module comprises:
the courseware input unit is used for receiving courseware text data of the courses;
and the duration recording unit is used for receiving the preset duration of the course.
3. The system of claim 2, wherein the duration monitoring module comprises:
the time judging unit is respectively connected with the duration inputting unit and the comparison judging module and is used for determining the specific duration of each teaching stage according to the preset duration and the teaching time period if the preset duration exists; if not, recording teaching time corresponding to the first teaching stage, and determining the specific duration of each teaching stage according to the teaching time and the teaching time period;
and the overtime judging unit is connected with the time judging unit and used for recording the current real-time duration of the teaching stage, comparing the real-time duration with the specific duration corresponding to the teaching stage and judging whether the real-time duration is overtime or not.
4. The system of claim 1, wherein the progress indicator is an indicator light.
5. An operating method relating to the voice-operated teaching assistance system according to any one of claims 1 to 4, characterized in that the operating method comprises the steps of: receiving and storing courseware data by adopting a courseware storage module; analyzing the lesson data by adopting a stage analysis module to divide teaching stages and generating keywords and teaching time periods corresponding to each teaching stage; receiving the voice of the lecturer by adopting a voice recognition device, converting the voice into character data, and comparing the character data with the keyword by adopting a comparison and judgment module to judge the current teaching stage; timing the current teaching stage by adopting a time length monitoring module, and sending a prompt signal to the progress prompting device after the timing time length exceeds the corresponding teaching time period; the progress prompting device carries out progress degree prompting after receiving the prompting signal;
the process of analyzing the lesson data to divide teaching stages and generating keywords and teaching time periods corresponding to each teaching stage comprises the following steps:
adopting a type judgment unit to carry out data retrieval on the courseware text data, if a node word is retrieved, transferring the courseware text data to a standard analysis unit, and if not, transferring the courseware text data to a non-standard analysis unit;
segmenting the courseware text data by adopting the standard analysis unit according to the node words to generate a plurality of data segments, wherein each data segment corresponds to one teaching stage;
segmenting the courseware text data without node words by adopting the non-standard analysis unit to generate a plurality of data segments;
screening each data segment by adopting a keyword extraction unit, and selecting a word with the most repeated occurrence times as the keyword corresponding to the data segment;
analyzing the text length of each data segment by adopting a duration extraction unit to obtain a teaching time period occupied by each data segment;
in the process of segmenting the courseware text data without node words to generate a plurality of data segments, the method comprises the following steps: and dividing the courseware text data into a plurality of continuous statement data by taking a statement as a node, analyzing the adjacent statement data in sequence, merging the adjacent statement data into one data segment if the two have the same field, and completing the division of the previous data segment and merging the next statement data into the next data segment if the two have the same field.
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