CN107133892A - The real-time estimating method and system of a kind of network Piano lesson - Google Patents
The real-time estimating method and system of a kind of network Piano lesson Download PDFInfo
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Abstract
The invention discloses a kind of real-time estimating method of network Piano lesson and system, it is related to network communication technology field.Count the rate of attendance of student first after course starts, then the audio signal gathered according to student's terminal calculates the accuracy in pitch rate of student's piano, and the quantity actively expressed one's feelings in the image statistic signal student's facial expression gathered according to student's terminal, the overall merit of the rate of attendance, the accuracy in pitch rate played and the quantity calculating teacher actively expressed one's feelings finally according to student, teacher's terminal shows the evaluation, teacher is reminded to adjust teaching method in time, this method obtains the true study situation of student in real time, result of calculation is objective and accurate, with very high application value.
Description
Technical field
The present invention relates to network communication technology field, the real-time estimating method of more particularly to a kind of network Piano lesson and it is
System.
Background technology
Piano is amusement means main at present, with the development of society, the ratio of upper piano course is more next in children
Higher, existing piano course is generally entity course, and its network courses is less.
Network courses are smaller to the restraining force of people, therefore the random evaluation that student can scruple, therefore to religion in network courses
The evaluation confidence level of teacher is not high.And the evaluation method used at present is all to evaluate after class mostly, student is past after End-of-Course
Toward can forget which specific place is bad in study, therefore the degree of accuracy evaluated is not also high.
The content of the invention
The embodiments of the invention provide a kind of real-time estimating method of network Piano lesson and system, to solve prior art
Present in problem.
A kind of real-time estimating method of network Piano lesson, methods described includes:
After course starts, the rate of attendance A that processing server calculates current course is evaluated;
Student's terminal gathers audio signal and picture signal, and the audio signal collected and picture signal are sent to institute
Commentary valency processing server;
The evaluation processing server is received after the audio signal, and audio signal is carried out into sampling processing, student is obtained
Tonic train;
Student's tonic train is compared with the standard audio sequence stored, the matching degree of the two is calculated, obtains student
The accuracy in pitch rate B played;
The evaluation processing server is received after described image signal, often crosses a predetermined time period, collection image letter
Face characteristic in number, and recognize in facial image whether there is positive expression, if positive expression, then it is upper once
Cumulative 1 in statistics number, existing statistics number is kept if without actively expressing one's feelings;
Accumulative statistics number is calculated, experience satisfaction C is determined according to statistical rules set in advance;
According to the rate of attendance A, accuracy in pitch rate B and experience satisfaction C and the evaluation densimeter set in advance per part
Overall merit is calculated, and the overall merit is sent to teacher's terminal.
Preferably, methods described also includes:
Teacher's terminal is received after the overall merit, judges whether the overall merit is less than or equal to what is pre-set
Guard against evaluation of estimate;
When overall merit is less than or equal to the warning evaluation of estimate pre-set, a warning prompting message is produced;
When overall merit is less than or equal to the warning evaluation of estimate pre-set, the display warning prompting message, or
When overall merit is more than the warning evaluation of estimate pre-set, the overall merit is shown.
Preferably, it is characterised in that when the evaluation processing server calculates the rate of attendance A of current course, calculate access
Student's terminal quantity and the ratio of registration quantity that prestores, the rate of attendance A of as current course.
Preferably, when calculating the accuracy in pitch rate B that student plays, if student is repeatedly played, the accuracy in pitch that student plays
Highest one in corresponding multiple accuracy in pitch rates when rate B is repeatedly plays.
Preferably, when it is determined that experiencing satisfaction C, if accumulative statistics number is less than or equal to the first statistics number,
Then corresponding experience satisfaction is C1If accumulative statistics number is more than the first statistics number and counted less than or equal to second
Number of times, then corresponding experience satisfaction is C2If, accumulative statistics number be more than the second statistics number and less than or equal to the
Three statistics numbers, then corresponding experience satisfaction is C3If accumulative statistics number is more than the 3rd statistics number, corresponding
Experience satisfaction is C4;Wherein the first statistics number, the second statistics number and the 3rd statistics number increase successively, C1、C2、C3、C4
Also increase successively.
Preferably, when calculating the overall merit, the proportion of the rate of attendance set in advance is α, and the proportion of accuracy in pitch rate is
β, the proportion of experience satisfaction is γ, using A × α+B × β+C × γ as the overall merit, and α, β, γ sum are 100, described
Composite rating is represented with the number less than or equal to 100.
Present invention also offers a kind of real-time evaluation system of network Piano lesson, the system includes:
Student's terminal, including:
Audio collection module, for gathering audio signal after course starts;
Image capture module, for gathering picture signal after course starts;
Student's communication module, for the audio signal and picture signal to be sent to evaluation processing server;
The evaluation processing server includes:
Service communication module, for receiving the audio signal and picture signal;
Rate of attendance computing module, calculates the rate of attendance A of current course after starting for course;
Audio processing modules, for audio signal to be carried out into sampling processing, obtain student's tonic train;
Accuracy in pitch authentication module, for the standard audio sequence ratio for storing student's tonic train and the data memory module
Compared with calculating the matching degree of the two, obtain the accuracy in pitch rate B that student plays;
Expression Recognition module, for gathering the face characteristic in described image signal, and recognizes in facial image whether have
There is positive expression, if actively expressing one's feelings, then cumulative 1 in upper statistics number once, protected if without actively expressing one's feelings
Hold existing statistics number;
Expression statistical module, the accumulative statistics number for calculating determines that experience is full according to statistical rules set in advance
Meaning degree C;
Computing module is evaluated, for according to the rate of attendance A, accuracy in pitch rate B and experience satisfaction C and set in advance every
Partial evaluation proportion calculates overall merit, and the overall merit is sent to teacher's terminal.
Preferably, teacher's terminal includes:
Teacher's communication module, for receiving the overall merit;
Judge module is evaluated, for judging whether the overall merit is less than or equal to the warning evaluation of estimate pre-set;
Message generation module, for when overall merit is less than or equal to the warning evaluation of estimate pre-set, producing one
Guard against prompting message;
Display module, for showing the overall merit or warning prompting message.
The real-time estimating method and system of a kind of network Piano lesson, are counted first after course starts in the embodiment of the present invention
The rate of attendance of student, the accuracy in pitch rate of the audio signal calculating student's piano then gathered according to student's terminal, and according to
The quantity actively expressed one's feelings in image statistic signal student's facial expression of student's terminal collection, the rate of attendance finally according to student,
The accuracy in pitch rate played and the quantity actively expressed one's feelings calculate the overall merit of teacher, and teacher's terminal shows the evaluation, reminds teacher
Teaching method is adjusted in time, and this method obtains the true study situation of student in real time, and result of calculation is objective and accurate, with very high
Application value.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the accompanying drawing used required in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is a kind of flow chart of the real-time estimating method of network Piano lesson provided in an embodiment of the present invention;
Fig. 2 is a kind of functional block diagram of the real-time evaluation system of network Piano lesson provided in an embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of protection of the invention.
Reference picture 1, the embodiments of the invention provide a kind of real-time estimating method of network Piano lesson, this method includes following
Step:
Step 100, after course starts, the rate of attendance A that processing server calculates current course is evaluated;Specifically, institute's commentary
Student's terminal quantity of valency processing server statistics access, the terminal quantity for calculating access and the ratio of the registration quantity prestored
Value, the rate of attendance A of as current course, rate of attendance A is the number between 0 to 1, and maximum can take 1;
Step 110, student's terminal collection audio signal and picture signal, by the audio signal collected and picture signal
Send to the evaluation processing server;
Step 120, the evaluation processing server is received after the audio signal, and audio signal is carried out into sampling processing,
Obtain student's tonic train;
Step 130, student's tonic train is compared with the standard audio sequence stored, calculates the matching degree of the two,
The accuracy in pitch rate B that i.e. student plays;
It is understood that student can repeatedly be practised in study, the accuracy in pitch rate that student plays should be multiple exercise
When corresponding multiple accuracy in pitch rates in highest one, accuracy in pitch rate B is the number between 0 to 1, and maximum can take 1, and minimum can take 0;
Step 140, the evaluation processing server is received after described image signal, often crosses a predetermined time period, example
Such as 1 minute, the face characteristic in collection picture signal, and recognize in facial image whether there is positive expression, this is positive
Expression includes smile, laugh etc., and the recognition methods of expression is prior art, at least can be found in the article that Liu Ting is delivered《Facial table
Feelings recognizer research》.If actively expressing one's feelings, then cumulative 1 in upper statistics number once, if without actively expressing one's feelings
Keep existing statistics number;
Step 150, accumulative statistics number is calculated, experience satisfaction C is determined according to statistical rules set in advance;At this
In embodiment, if accumulative statistics number is less than or equal to the first statistics number, corresponding experience satisfaction is C1If,
Accumulative statistics number is more than the first statistics number and is less than or equal to the second statistics number, then corresponding experience satisfaction is
C2If accumulative statistics number is more than the second statistics number and less than or equal to the 3rd statistics number, corresponding experience is full
Meaning degree is C3If accumulative statistics number is more than the 3rd statistics number, and corresponding experience satisfaction is C4;Wherein first system
Metering number, the second statistics number and the 3rd statistics number increase successively, C1、C2、C3、C4Also increase successively;
It should be understood that C, C1、C2、C3、C4It is the number between 0 to 1, C10, C can be taken41 can be taken;
Step 160, according to the rate of attendance A, accuracy in pitch rate B and experience satisfaction C and commenting per part set in advance
Valency proportion calculates overall merit, and the overall merit is sent to teacher's terminal.In the present embodiment, the rate of attendance set in advance
Proportion be α, the proportion of accuracy in pitch rate is β, and the proportion of experience satisfaction is γ, regard A × α+B × β+C × γ as the synthesis
Evaluate;
It should be understood that α, β, γ sum are 100, the composite rating is represented with the number less than or equal to 100;
Step 170, teacher's terminal is received after the overall merit, judges whether the overall merit is less than or equal to pre-
The warning evaluation of estimate first set, if then entering step 180, otherwise into step 190;
Step 180, a warning prompting message is produced;
Step 190, the overall merit or warning prompting message are shown.
Based on identical inventive concept, the embodiment of the present invention additionally provides a kind of real-time evaluation system of network Piano lesson,
As shown in Fig. 2 the implementation of the device is referred to the implementation of the above method, repeats part and repeat no more:
Student's terminal 210, including:
Audio collection module 212, for gathering audio signal after course starts;
Image capture module 213, for gathering picture signal after course starts;
Student's communication module 211, for the audio signal and picture signal to be sent to evaluation processing server 220;
The evaluation processing server 220 includes:
Service communication module 221, for receiving the audio signal and picture signal;
Rate of attendance computing module 222, calculates the rate of attendance A of current course after starting for course;
Audio processing modules 223, for audio signal to be carried out into sampling processing, obtain student's tonic train;
Accuracy in pitch authentication module 224, for the standard audio for storing student's tonic train and the data memory module 228
Sequence compares, and calculates the matching degree of the two, obtains the accuracy in pitch rate B that student plays;
Expression Recognition module 225, it is special for often crossing the face in a predetermined time period, collection described image signal
Levy, and recognize in facial image whether there is positive expression, if actively expressing one's feelings, then tire out in upper statistics number once
Plus 1, existing statistics number is kept if without actively expressing one's feelings;
Expression statistical module 226, the accumulative statistics number for calculating determines to experience according to statistical rules set in advance
Satisfaction C;
Computing module 227 is evaluated, for satisfaction C and being preset according to the rate of attendance A, accuracy in pitch rate B and experience
The evaluation proportion of every part calculate overall merit, and the overall merit is sent to teacher's terminal 230;
Teacher's terminal 230 includes:
Teacher's communication module 231, for receiving the overall merit;
Judge module 232 is evaluated, for judging whether the overall merit is less than or equal to the warning evaluation of estimate pre-set;
Message generation module 233, for when overall merit is less than or equal to the warning evaluation of estimate pre-set, producing one
Individual warning prompting message;
Display module 234, for showing the overall merit or warning prompting message.
It should be understood by those skilled in the art that, embodiments of the invention can be provided as method, system or computer program
Product.Therefore, the present invention can be using the reality in terms of complete hardware embodiment, complete software embodiment or combination software and hardware
Apply the form of example.Moreover, the present invention can be used in one or more computers for wherein including computer usable program code
The computer program production that usable storage medium is implemented on (including but is not limited to magnetic disk storage, CD-ROM, optical memory etc.)
The form of product.
The present invention is the flow with reference to method according to embodiments of the present invention, equipment (system) and computer program product
Figure and/or block diagram are described.It should be understood that can be by every first-class in computer program instructions implementation process figure and/or block diagram
Journey and/or the flow in square frame and flow chart and/or block diagram and/or the combination of square frame.These computer programs can be provided
The processor of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce
A raw machine so that produced by the instruction of computer or the computing device of other programmable data processing devices for real
The device for the function of being specified in present one flow of flow chart or one square frame of multiple flows and/or block diagram or multiple square frames.
These computer program instructions, which may be alternatively stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction being stored in the computer-readable memory, which is produced, to be included referring to
Make the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one square frame of block diagram or
The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that in meter
Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented processing, thus in computer or
The instruction performed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in individual square frame or multiple square frames.
, but those skilled in the art once know basic creation although preferred embodiments of the present invention have been described
Property concept, then can make other change and modification to these embodiments.So, appended claims are intended to be construed to include excellent
Select embodiment and fall into having altered and changing for the scope of the invention.
Obviously, those skilled in the art can carry out the essence of various changes and modification without departing from the present invention to the present invention
God and scope.So, if these modifications and variations of the present invention belong to the scope of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to comprising including these changes and modification.
Claims (8)
1. a kind of real-time estimating method of network Piano lesson, it is characterised in that methods described includes:
After course starts, the rate of attendance A that processing server calculates current course is evaluated;
Student's terminal gathers audio signal and picture signal, and the audio signal collected and picture signal are sent to institute's commentary
Valency processing server;
The evaluation processing server is received after the audio signal, and audio signal is carried out into sampling processing, student's audio is obtained
Sequence;
Student's tonic train is compared with the standard audio sequence stored, the matching degree of the two is calculated, obtains student and play
Accuracy in pitch rate B;
The evaluation processing server is received after described image signal, is often crossed in a predetermined time period, collection picture signal
Face characteristic, and recognize in facial image whether there is positive expression, if positive expression, then in upper statistics once
Cumulative 1 on number of times, existing statistics number is kept if without actively expressing one's feelings;
Accumulative statistics number is calculated, experience satisfaction C is determined according to statistical rules set in advance;
Calculate comprehensive according to the rate of attendance A, accuracy in pitch rate B and experience satisfaction C and the evaluation proportion set in advance per part
Close and evaluate, and the overall merit is sent to teacher's terminal.
2. the method as described in claim 1, it is characterised in that methods described also includes:
Teacher's terminal is received after the overall merit, judges whether the overall merit is less than or equal to the warning pre-set
Evaluation of estimate;
When overall merit is less than or equal to the warning evaluation of estimate pre-set, a warning prompting message is produced;
When overall merit is less than or equal to the warning evaluation of estimate pre-set, the warning prompting message is shown, or in synthesis
When evaluating the warning evaluation of estimate for being more than and pre-setting, the overall merit is shown.
3. the method as described in claim 1, it is characterised in that characterized in that, the evaluation processing server calculates current
During the rate of attendance A of course, the student's terminal quantity for calculating access and the ratio of the registration quantity prestored, as current course
Rate of attendance A.
4. the method as described in claim 1, it is characterised in that when calculating the accuracy in pitch rate B that student plays, if student is carried out
Repeatedly play, highest one in corresponding multiple accuracy in pitch rates when the accuracy in pitch rate B that student plays is repeatedly plays.
5. the method as described in claim 1, it is characterised in that when it is determined that experiencing satisfaction C, if accumulative statistics number
Less than or equal to the first statistics number, then corresponding experience satisfaction is C1If accumulative statistics number is more than the first statistics
Number of times and less than or equal to the second statistics number, then corresponding experience satisfaction is C2If accumulative statistics number is more than the
Two statistics numbers and less than or equal to the 3rd statistics number, then corresponding experience satisfaction is C3If, accumulative statistics number
More than the 3rd statistics number, then corresponding experience satisfaction is C4;Wherein the first statistics number, the second statistics number and the 3rd system
Metering number increases successively, C1、C2、C3、C4Also increase successively.
6. the method as described in claim 1, it is characterised in that when calculating the overall merit, the rate of attendance set in advance
Proportion be α, the proportion of accuracy in pitch rate is β, and the proportion of experience satisfaction is γ, regard A × α+B × β+C × γ as the synthesis
Evaluate, α, β, γ sum are 100, the composite rating is represented with the number less than or equal to 100.
7. a kind of real-time evaluation system of network Piano lesson, it is characterised in that the system includes:
Student's terminal, including:
Audio collection module, for gathering audio signal after course starts;
Image capture module, for gathering picture signal after course starts;
Student's communication module, for the audio signal and picture signal to be sent to evaluation processing server;
The evaluation processing server includes:
Service communication module, for receiving the audio signal and picture signal;
Rate of attendance computing module, calculates the rate of attendance A of current course after starting for course;
Audio processing modules, for audio signal to be carried out into sampling processing, obtain student's tonic train;
Accuracy in pitch authentication module, for student's tonic train to be compared with the standard audio sequence that the data memory module is stored,
The matching degree of the two is calculated, the accuracy in pitch rate B that student plays is obtained;
Expression Recognition module, for gathering the face characteristic in described image signal, and recognizes in facial image whether there is product
The expression of pole, if actively expressing one's feelings, then cumulative 1 in upper statistics number once, keeps existing if without actively expressing one's feelings
There is statistics number;
Expression statistical module, the accumulative statistics number for calculating determines experience satisfaction according to statistical rules set in advance
C;
Computing module is evaluated, for according to the rate of attendance A, accuracy in pitch rate B and experience satisfaction C and every part set in advance
Evaluation proportion calculate overall merit, and the overall merit is sent to teacher's terminal.
8. system as claimed in claim 7, it is characterised in that teacher's terminal includes:
Teacher's communication module, for receiving the overall merit;
Judge module is evaluated, for judging whether the overall merit is less than or equal to the warning evaluation of estimate pre-set;
Message generation module, for when overall merit is less than or equal to the warning evaluation of estimate pre-set, producing a warning
Prompting message;
Display module, for showing the overall merit or warning prompting message.
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Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107590459A (en) * | 2017-09-11 | 2018-01-16 | 广东欧珀移动通信有限公司 | The method and apparatus for delivering evaluation |
CN108182838A (en) * | 2018-03-12 | 2018-06-19 | 山西师范大学 | A kind of real-time evaluation system of Piano lesson |
CN108337563A (en) * | 2018-03-16 | 2018-07-27 | 深圳创维数字技术有限公司 | Video evaluation method, apparatus, equipment and storage medium |
CN108389475A (en) * | 2018-03-05 | 2018-08-10 | 山东星科素养教育科技有限公司 | A kind of practical training method and system of multi-user Cooperation |
CN109015690A (en) * | 2018-08-31 | 2018-12-18 | 中通天鸿(北京)通信科技股份有限公司 | active interactive dialogue robot system and method |
CN110136543A (en) * | 2019-04-26 | 2019-08-16 | 北京大米科技有限公司 | Online teaching interactive approach, relevant device, storage medium and system |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103531053A (en) * | 2013-10-17 | 2014-01-22 | 张济鹏 | Playing trainer for musical instrument learning |
CN105049249A (en) * | 2015-07-09 | 2015-11-11 | 中山大学 | Scoring method and system of remote visual conversation services |
CN106228293A (en) * | 2016-07-18 | 2016-12-14 | 重庆中科云丛科技有限公司 | teaching evaluation method and system |
CN106485227A (en) * | 2016-10-14 | 2017-03-08 | 深圳市唯特视科技有限公司 | A kind of Evaluation of Customer Satisfaction Degree method that is expressed one's feelings based on video face |
CN106530154A (en) * | 2016-08-08 | 2017-03-22 | 浙江大学城市学院 | College classroom teaching efficiency monitoring system and college classroom teaching efficiency monitoring method based on WiFi |
-
2017
- 2017-03-29 CN CN201710197071.9A patent/CN107133892A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103531053A (en) * | 2013-10-17 | 2014-01-22 | 张济鹏 | Playing trainer for musical instrument learning |
CN105049249A (en) * | 2015-07-09 | 2015-11-11 | 中山大学 | Scoring method and system of remote visual conversation services |
CN106228293A (en) * | 2016-07-18 | 2016-12-14 | 重庆中科云丛科技有限公司 | teaching evaluation method and system |
CN106530154A (en) * | 2016-08-08 | 2017-03-22 | 浙江大学城市学院 | College classroom teaching efficiency monitoring system and college classroom teaching efficiency monitoring method based on WiFi |
CN106485227A (en) * | 2016-10-14 | 2017-03-08 | 深圳市唯特视科技有限公司 | A kind of Evaluation of Customer Satisfaction Degree method that is expressed one's feelings based on video face |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107590459A (en) * | 2017-09-11 | 2018-01-16 | 广东欧珀移动通信有限公司 | The method and apparatus for delivering evaluation |
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CN108182838A (en) * | 2018-03-12 | 2018-06-19 | 山西师范大学 | A kind of real-time evaluation system of Piano lesson |
CN108337563A (en) * | 2018-03-16 | 2018-07-27 | 深圳创维数字技术有限公司 | Video evaluation method, apparatus, equipment and storage medium |
CN109015690A (en) * | 2018-08-31 | 2018-12-18 | 中通天鸿(北京)通信科技股份有限公司 | active interactive dialogue robot system and method |
CN109015690B (en) * | 2018-08-31 | 2022-01-28 | 中通天鸿(北京)通信科技股份有限公司 | Active interactive dialogue robot system and method |
CN110136543A (en) * | 2019-04-26 | 2019-08-16 | 北京大米科技有限公司 | Online teaching interactive approach, relevant device, storage medium and system |
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