CN108389444A - A kind of English language tutoring system and teaching application method - Google Patents
A kind of English language tutoring system and teaching application method Download PDFInfo
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- CN108389444A CN108389444A CN201810273236.0A CN201810273236A CN108389444A CN 108389444 A CN108389444 A CN 108389444A CN 201810273236 A CN201810273236 A CN 201810273236A CN 108389444 A CN108389444 A CN 108389444A
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- G—PHYSICS
- 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 belongs to English teaching technical field, discloses a kind of English language tutoring system and teaching application method, the English language tutoring system include：Image capture module, audio collection module, central control module, online conversation module, English game module, English test module, display module, sound processing module.The present invention can eliminate the noise generated when pronunciation typing by sound processing module, and the displaying voice effect being more clear improves pronunciation standard training；Student may be implemented by online conversation module simultaneously and carry out one-to-one English dialogue, greatly improve efficiency of learning English.
Description
Technical field
The invention belongs to English teaching technical field more particularly to a kind of English language tutoring system and teaching application sides
Method.
Background technology
English teaching, which refers to the process of for English, to be or is not that the people of first language teaches English.English teaching
Be related to a variety of professional theory knowledges, including linguistics, second language acquisition, lexicology, syntactics, Style Science, corpus it is theoretical,
The contents such as cognitive psychology.English teaching is an incremental process, is either for English or is not the first language
For the people of speech, English study is all vital in today of globalization fast development.However, existing English teaching exists
When typing sound pronounces, it is susceptible to noise, causes voice training effect poor, pronunciation is nonstandard；Existing English teaching is past simultaneously
Toward being unidirectional, student, which cannot carry out cerebral infarction in time, causes learning effect poor.
In conclusion problem of the existing technology is：Existing English teaching is susceptible to when typing sound pronounces
Noise causes voice training effect poor, and pronunciation is nonstandard；Simultaneously existing English teaching it is often unidirectional, student cannot in time into
Row cerebral infarction causes learning effect poor.
Invention content
In view of the problems of the existing technology, the present invention provides a kind of English language tutoring system and teaching application sides
Method.
The invention is realized in this way a kind of English language tutoring system includes：
Image capture module, audio collection module, central control module, online conversation module, English game module, English
Test module, display module, sound processing module；
Described image acquisition module carries out rectangle partitioning algorithm, and the specific method is as follows：
Step 1, image transmitting terminal obtain the resolution ratio of screen first, obtain 0~C of range and the row scanning of column scan
0~R of range；
The data of current frame image conservation zone are saved in previous frame image buffering area by step 2, transmitting terminal；It intercepts and captures current
Screen bitmaps data and be stored in current frame image buffering area；
Step 3, transmitting terminal initializes variation rectangular area top left co-ordinate first and bottom right angular coordinate is (0,0), next time
Sweep starting point coordinate is (0,0), and row is unchanged to be identified as true, updates the range of the range and row scanning of column scan；
Step 4 judges whether to be expert in scanning range, not exist, jumps to step 10；
Step 5 judges whether within the scope of column scan, does not exist, and jumps to step 8；Within the scope of column scan using every
Row direct comparison method is detected current sampling point；Value is different, sets the unchanged mark of row to false first, then sentences
Whether disconnected be the first variation sampled point detected, be using sample point coordinate as the top left co-ordinate for changing rectangular area,
It is not first variation sampled point, the coordinate of the coordinate in the rectangle lower right corner and the point relatively and is maximized as new rectangle
Bottom right angular coordinate, then judge whether the sampled point is first variation sampled point of one's own profession, it is that the ordinate just by the sampled point is same
The ordinate in the rectangle upper left corner is compared and is minimized the top left co-ordinate of more new change rectangular area；It is worth identical, needs
Judge that row is unchanged and identifies whether, for false, if it is false, starting point of the record coordinate as scanning next time detects it is most
Latter row sampled point jumps to step 7 using last row sample point coordinate as the starting point of scanning next time；
Row coordinate is moved to right N row, jumps to step 5 and detect next sampled point by step 6；
Step 7, one's own profession detection finish, and the next time of the next sweep starting point coordinate of one's own profession and lastrow record is scanned
Point coordinates compares, and is maximized as new next sweep starting point coordinate, and line number adds 1, jump to step 4 from next line from
Head starts from left to right to detect；
Step 8, judge go it is unchanged identify whether as true and variation rectangular area top left co-ordinate be not (0,0), no
It is true, line number adds 1, jumps to step 4；It is true, then shows that full line without different pixels, has obtained the square of a variation
Shape region unit；Obtained variation rectangular area block upper left corner ordinate be moved to the left N row, lower right corner ordinate move right N row
To include image boundary information；
Step 9 records the variation rectangular area coordinate detected and corresponding next sweep starting point coordinate, judges to work as
The range of preceding column scan whether 0~C and row scanning range whether 0~R, be, setting mark show the variation that current detection goes out
Rectangular area mark detects that then line number adds 1 to jump to step 4 to detect next change since next line for the first time
The rectangular area block of change；Until detecting the range beyond row scanning；
Step 10 after this detection, handles next sweep starting point all in this detection, calculates down
The set of secondary scanning range；The ordinate for first next sweep starting point that this is detected is first checked for whether than last row
The ordinate of sampled point is small, is not, which completes, and detects the ordinate of next next sweep starting point；It is, with first
The abscissa in the secondary variation rectangular area upper left corner detected is abscissa, is scanned relevant next time with currently changing rectangular area
The ordinate of starting point coordinate is ordinate, generates the top left co-ordinate of a next scanning range；With the change detected for the first time
The abscissa for changing the rectangular area lower right corner is abscissa, and a scanning next time model is generated by ordinate of the maximum number of column C of screen
The bottom right angular coordinate enclosed；Then handle second next sweep starting point, until next sweep starting point all in this detection all
It is treated as stopping；
Step 11 detects scanning area all in next scanning range set, is primarily based on next scanning range collection
The width and height of first scanning area in conjunction, the range of raw row scan and column scan repeat step 3 and are examined to step 10
The rectangular area block changed in first scanning area is surveyed, second scanning area is then handled, until next scanning range collection
Until all scanning areas are all detected in conjunction；
Step 12 repeats step 10 to step 11, obtains the variation rectangular area block of scanning range next time, until
The ordinate of all next sweep starting points is greater than or equal to the ordinate of last row sampled point, and entire screen detection finishes；
Step 13 has obtained the not overlapping rectangles for the area minimum that all frame images change relative to previous frame image
The set in region, checks the rectangular area in the set, and two rectangle its upper left corner ordinates are identical with lower right corner ordinate, and
The lower right corner abscissa of one rectangle is adjacent with another rectangle upper left corner abscissa, merges into a rectangle, then recompresses
And the set for the sending rectangular area image data that is included and respective coordinates are to client；
Step 14, image receiving terminal will be based on each rectangular region image data and corresponding seat after the data decompression of reception
Mark is integrated into previous frame image and shows；
Step 15 repeated step 2 every T seconds and arrives step 14, according to difference and the requirements of bandwidth of application scenarios,
It adjusts to interval time T；
Audio collection module is connect with central control module, for acquiring voice data information；
Central control module, with image capture module, audio collection module, online conversation module, English game module, English
Language test module, display module, sound processing module connection, for image capture module, audio collection module gathered data
Information carries out processing analysis, and dispatches modules normal work；
The central control module estimates the jumping moment of each jump using clustering algorithm and respectively jumps corresponding normalization
Hybrid matrix column vector, Hopping frequencies when, include the following steps：
The first step is right at p (p=0,1,2 ... the P-1) momentThe frequency values of expression are clustered, obtained cluster centre numberIndicate carrier frequency number existing for the p moment,A cluster centre then indicates the size of carrier frequency, uses respectively
It indicates；
Second step utilizes clustering algorithm pair to each sampling instant p (p=0,1,2 ... P-1)It is clustered,
It is same availableA cluster centre is usedIt indicates；
Third walks, to allIt averages and rounding, obtains the estimation of source signal numberI.e.
4th step, finds outAt the time of, use phIt indicates, to the p of each section of continuous valuehIntermediate value is sought, is used
Indicate the l sections of p that are connectedhIntermediate value, thenIndicate the estimation at first of frequency hopping moment；
5th step is obtained according to estimation in second stepAnd the 4th estimate to obtain in step
The frequency hopping moment estimate it is each jump it is correspondingA hybrid matrix column vectorSpecifically formula is：
HereIt is corresponding to indicate that l is jumpedA mixing
Matrix column vector estimated value；
6th step is estimated the corresponding carrier frequency of each jump, is usedIt is corresponding to indicate that l is jumpedA frequency estimation, calculation formula are as follows：
Online conversation module, connect with central control module, for online with the one-to-one progress English Dialogue Teaching of student；
English game module, connect with central control module, for carrying out English study training by English game；
English test module, connect with central control module, for carrying out English test to student；
Display module is connect with central control module, for showing English teaching video；
Sound processing module is connect with central control module, for disappearing to collected English pronunciation audio
It makes an uproar processing, and pronunciation information decoder is sent to by denoising voice signal is obtained.
A kind of English language teaching application method includes the following steps：
Gathered data information is sent to central control module and carried out by step 1, image capture module, audio collection module
Processing analysis；
Step 2 when teaching, passes through online conversation module and the one-to-one progress English Dialogue Teaching of student；It is swum by English
Module of playing carries out English study training；English test is carried out to student by English test module；
When sound typing, de-noising is carried out by sound processing module to collected English audio of pronouncing for step 3
Processing；
Step 4 shows English teaching video by display module.
Further, the sound processing module includes：Pronunciation information decoder, word generator, phonetic symbol generator；
Pronunciation information decoder, for according to the corresponding phonetic symbol of the pronunciation model collection pre-established and each pronunciation
The voice signal received is carried out retrieval one by one and compared, and the result after retrieval is exported to word generator by library and word library
With phonetic symbol generator；
Word generator is shown for the Word search result of pronunciation information decoder to be sent to display module 7；
Phonetic symbol generator is shown for the phonetic symbol retrieval result of pronunciation information decoder to be sent to display module 7.
Advantages of the present invention and good effect are：The present invention generates when can eliminate pronunciation typing by sound processing module
Noise, the displaying voice effect being more clear, improve pronunciation standard training；It may be implemented simultaneously by online conversation module
Student carries out one-to-one English dialogue, greatly improves efficiency of learning English.
Description of the drawings
Fig. 1 is that the present invention implements the English language teaching application method flow chart provided；
Fig. 2 is that the present invention implements the English language tutoring system structural schematic diagram provided；
In figure：1, image capture module；2, audio collection module；3, central control module；4, online conversation module；5, English
Language game module；6, English test module；7, display module；8, sound processing module.
Specific implementation mode
In order to make the purpose , technical scheme and advantage of the present invention be clearer, with reference to embodiments, to the present invention
It is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not used to
Limit the present invention.
Below in conjunction with the accompanying drawings and specific embodiment is further described the application principle of the present invention.
As shown in Figure 1, a kind of English language teaching application method provided by the invention includes the following steps：
Step S101, image capture module, audio collection module by gathered data information be sent to central control module into
Row processing analysis；
Step S102 when teaching, passes through online conversation module and the one-to-one progress English Dialogue Teaching of student；Pass through English
Game module carries out English study training；English test is carried out to student by English test module；
Step S103 when sound typing, disappears to collected English audio of pronouncing by sound processing module
It makes an uproar processing；
Step S104 shows English teaching video by display module.
As shown in Fig. 2, English language tutoring system provided by the invention includes：Image capture module 1, audio collection module
2, central control module 3, online conversation module 4, English game module 5, English test module 6, display module 7, acoustic processing
Module 8.
Image capture module 1 is connect with central control module 3, for acquiring instructional video image by camera；
Audio collection module 2 is connect with central control module 3, for acquiring voice data information；
Central control module 3, with image capture module 1, audio collection module 2, online conversation module 4, English game mould
Block 5, English test module 6, display module 7, sound processing module 8 connect, for image capture module 1, audio collection mould
2 gathered data information of block carries out processing analysis, and dispatches modules normal work；
Online conversation module 4 is connect with central control module 3, for being taught online with the one-to-one progress English dialogue of student
It learns；
English game module 5 is connect with central control module 3, for carrying out English study training by English game；
English test module 6 is connect with central control module 3, for carrying out English test to student；
Display module 7 is connect with central control module 3, for showing English teaching video；
Sound processing module 8 is connect with central control module 3, for being carried out to collected English pronunciation audio
Denoising, and it is sent to pronunciation information decoder by denoising voice signal is obtained.
Described image acquisition module carries out rectangle partitioning algorithm, and the specific method is as follows：
Step 1, image transmitting terminal obtain the resolution ratio of screen first, obtain 0~C of range and the row scanning of column scan
0~R of range；
The data of current frame image conservation zone are saved in previous frame image buffering area by step 2, transmitting terminal；It intercepts and captures current
Screen bitmaps data and be stored in current frame image buffering area；
Step 3, transmitting terminal initializes variation rectangular area top left co-ordinate first and bottom right angular coordinate is (0,0), next time
Sweep starting point coordinate is (0,0), and row is unchanged to be identified as true, updates the range of the range and row scanning of column scan；
Step 4 judges whether to be expert in scanning range, not exist, jumps to step 10；
Step 5 judges whether within the scope of column scan, does not exist, and jumps to step 8；Within the scope of column scan using every
Row direct comparison method is detected current sampling point；Value is different, sets the unchanged mark of row to false first, then sentences
Whether disconnected be the first variation sampled point detected, be using sample point coordinate as the top left co-ordinate for changing rectangular area,
It is not first variation sampled point, the coordinate of the coordinate in the rectangle lower right corner and the point relatively and is maximized as new rectangle
Bottom right angular coordinate, then judge whether the sampled point is first variation sampled point of one's own profession, it is that the ordinate just by the sampled point is same
The ordinate in the rectangle upper left corner is compared and is minimized the top left co-ordinate of more new change rectangular area；It is worth identical, needs
Judge that row is unchanged and identifies whether, for false, if it is false, starting point of the record coordinate as scanning next time detects it is most
Latter row sampled point jumps to step 7 using last row sample point coordinate as the starting point of scanning next time；
Row coordinate is moved to right N row, jumps to step 5 and detect next sampled point by step 6；
Step 7, one's own profession detection finish, and the next time of the next sweep starting point coordinate of one's own profession and lastrow record is scanned
Point coordinates compares, and is maximized as new next sweep starting point coordinate, and line number adds 1, jump to step 4 from next line from
Head starts from left to right to detect；
Step 8, judge go it is unchanged identify whether as true and variation rectangular area top left co-ordinate be not (0,0), no
It is true, line number adds 1, jumps to step 4；It is true, then shows that full line without different pixels, has obtained the square of a variation
Shape region unit；Obtained variation rectangular area block upper left corner ordinate be moved to the left N row, lower right corner ordinate move right N row
To include image boundary information；
Step 9 records the variation rectangular area coordinate detected and corresponding next sweep starting point coordinate, judges to work as
The range of preceding column scan whether 0~C and row scanning range whether 0~R, be, setting mark show the variation that current detection goes out
Rectangular area mark detects that then line number adds 1 to jump to step 4 to detect next change since next line for the first time
The rectangular area block of change；Until detecting the range beyond row scanning；
Step 10 after this detection, handles next sweep starting point all in this detection, calculates down
The set of secondary scanning range；The ordinate for first next sweep starting point that this is detected is first checked for whether than last row
The ordinate of sampled point is small, is not, which completes, and detects the ordinate of next next sweep starting point；It is, with first
The abscissa in the secondary variation rectangular area upper left corner detected is abscissa, is scanned relevant next time with currently changing rectangular area
The ordinate of starting point coordinate is ordinate, generates the top left co-ordinate of a next scanning range；With the change detected for the first time
The abscissa for changing the rectangular area lower right corner is abscissa, and a scanning next time model is generated by ordinate of the maximum number of column C of screen
The bottom right angular coordinate enclosed；Then handle second next sweep starting point, until next sweep starting point all in this detection all
It is treated as stopping；
Step 11 detects scanning area all in next scanning range set, is primarily based on next scanning range collection
The width and height of first scanning area in conjunction, the range of raw row scan and column scan repeat step 3 and are examined to step 10
The rectangular area block changed in first scanning area is surveyed, second scanning area is then handled, until next scanning range collection
Until all scanning areas are all detected in conjunction；
Step 12 repeats step 10 to step 11, obtains the variation rectangular area block of scanning range next time, until
The ordinate of all next sweep starting points is greater than or equal to the ordinate of last row sampled point, and entire screen detection finishes；
Step 13 has obtained the not overlapping rectangles for the area minimum that all frame images change relative to previous frame image
The set in region, checks the rectangular area in the set, and two rectangle its upper left corner ordinates are identical with lower right corner ordinate, and
The lower right corner abscissa of one rectangle is adjacent with another rectangle upper left corner abscissa, merges into a rectangle, then recompresses
And the set for the sending rectangular area image data that is included and respective coordinates are to client；
Step 14, image receiving terminal will be based on each rectangular region image data and corresponding seat after the data decompression of reception
Mark is integrated into previous frame image and shows；
Step 15 repeated step 2 every T seconds and arrives step 14, according to difference and the requirements of bandwidth of application scenarios,
It adjusts to interval time T；
The central control module estimates the jumping moment of each jump using clustering algorithm and respectively jumps corresponding normalization
Hybrid matrix column vector, Hopping frequencies when, include the following steps：
The first step is right at p (p=0,1,2 ... the P-1) momentThe frequency values of expression are clustered, obtained cluster centre numberIndicate carrier frequency number existing for the p moment,A cluster centre then indicates the size of carrier frequency, uses respectively
It indicates；
Second step utilizes clustering algorithm pair to each sampling instant p (p=0,1,2 ... P-1)It is clustered,
It is same availableA cluster centre is usedIt indicates；
Third walks, to allIt averages and rounding, obtains the estimation of source signal numberI.e.
4th step, finds outAt the time of, use phIt indicates, to the p of each section of continuous valuehIntermediate value is sought, is used
Indicate the l sections of p that are connectedhIntermediate value, thenIndicate the estimation at first of frequency hopping moment；
5th step is obtained according to estimation in second stepAnd the 4th estimate to obtain in step
The frequency hopping moment estimate it is each jump it is correspondingA hybrid matrix column vectorSpecifically formula is：
HereIt is corresponding to indicate that l is jumpedA mixing
Matrix column vector estimated value；
6th step is estimated the corresponding carrier frequency of each jump, is usedIt is corresponding to indicate that l is jumpedA frequency estimation, calculation formula are as follows：
Sound processing module 8 provided by the invention includes：Pronunciation information decoder, word generator, phonetic symbol generator；
Pronunciation information decoder, for according to the corresponding phonetic symbol of the pronunciation model collection pre-established and each pronunciation
The voice signal received is carried out retrieval one by one and compared, and the result after retrieval is exported to word generator by library and word library
With phonetic symbol generator；
Word generator is shown for the Word search result of pronunciation information decoder to be sent to display module 7；
Phonetic symbol generator is shown for the phonetic symbol retrieval result of pronunciation information decoder to be sent to display module 7.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
All any modification, equivalent and improvement etc., should all be included in the protection scope of the present invention made by within refreshing and principle.
Claims (3)
1. a kind of English language tutoring system, which is characterized in that the English language tutoring system includes：Image capture module,
Audio collection module, central control module, online conversation module, English game module, English test module, display module, sound
Sound processing module；
Image capture module is connect with central control module, for acquiring instructional video image by camera；
Described image acquisition module carries out rectangle partitioning algorithm, and the specific method is as follows：
Step 1, image transmitting terminal obtain the resolution ratio of screen first, obtain the range 0 of the 0~C of range and row scanning of column scan
~R；
The data of current frame image conservation zone are saved in previous frame image buffering area by step 2, transmitting terminal；Intercept and capture current screen
Curtain bitmap data is simultaneously stored in current frame image buffering area；
Step 3, transmitting terminal initializes variation rectangular area top left co-ordinate first and bottom right angular coordinate is (0,0), scanning next time
Starting point coordinate is (0,0), and row is unchanged to be identified as true, updates the range of the range and row scanning of column scan；
Step 4 judges whether to be expert in scanning range, not exist, jumps to step 10；
Step 5 judges whether within the scope of column scan, does not exist, and jumps to step 8；Using straight every row within the scope of column scan
Comparison method is connect to be detected current sampling point；Value is different, sets the unchanged mark of row to false first, and then judgement is
No is the first variation sampled point detected, is not to be using sample point coordinate as the top left co-ordinate of variation rectangular area
The coordinate of the coordinate in the rectangle lower right corner and the point relatively and is maximized as new rectangle bottom right by first variation sampled point
Angular coordinate, then judge whether the sampled point is first variation sampled point of one's own profession, it is the same rectangle of ordinate just by the sampled point
The ordinate in the upper left corner is compared and is minimized the top left co-ordinate of more new change rectangular area；It is worth identical, needs to judge
Row is unchanged to identify whether detect it is last if it is the starting point that false, record coordinate are scanned as next time for false
Row sampled point jumps to step 7 using last row sample point coordinate as the starting point of scanning next time；
Row coordinate is moved to right N row, jumps to step 5 and detect next sampled point by step 6；
Step 7, one's own profession detection finish, and the next sweep starting point of the next sweep starting point coordinate of one's own profession and lastrow record is sat
Mark compares, and is maximized as new next sweep starting point coordinate, and line number adds 1, jumps to step 4 and is from the beginning opened from next line
Beginning is from left to right detected；
Step 8, judge go it is unchanged identify whether as true and variation rectangular area top left co-ordinate be not (0,0), be not
True, line number add 1, jump to step 4；It is true, then shows that full line without different pixels, has obtained the rectangle of a variation
Region unit；Obtained variation rectangular area block upper left corner ordinate be moved to the left N row, lower right corner ordinate move right N arrange with
Including image boundary information；
Step 9, records the variation rectangular area coordinate detected and corresponding next sweep starting point coordinate, and forefront is worked as in judgement
The range of scanning whether 0~C and row scanning range whether 0~R, be, setting mark show the variation rectangle that current detection goes out
Area identification is to detect for the first time, and then line number adds 1 to jump to step 4 to detect next variation since next line
Rectangular area block；Until detecting the range beyond row scanning；
Step 10 after this detection, handles next sweep starting point all in this detection, calculates and sweep next time
Retouch the set of range；The ordinate for first next sweep starting point that this is detected is first checked for whether than last row sampling
The ordinate of point is small, is not, which completes, and detects the ordinate of next next sweep starting point；It is, to examine for the first time
The abscissa in the variation rectangular area upper left corner measured is abscissa, currently to change the relevant next sweep starting point in rectangular area
The ordinate of coordinate is ordinate, generates the top left co-ordinate of a next scanning range；With the variation square detected for the first time
The abscissa in the shape region lower right corner is abscissa, using the maximum number of column C of screen as one next scanning range of ordinate generation
Bottom right angular coordinate；Then second next sweep starting point is handled, until next sweep starting point all in this detection is all located
Until reason；
Step 11 detects scanning area all in next scanning range set, is primarily based in next scanning range set
The width and height of first scanning area, the range of raw row scan and column scan repeat step 3 and detect the to step 10
The rectangular area block changed in one scanning area then handles second scanning area, until in next scanning range set
Until all scanning areas are all detected；
Step 12 repeats step 10 to step 11, obtains the variation rectangular area block of scanning range next time, until all
The ordinate of next sweep starting point be greater than or equal to the ordinate of last row sampled point, the detection of entire screen finishes；
Step 13 has obtained the not overlapping rectangles region for the area minimum that all frame images change relative to previous frame image
Set, check the rectangular area in the set, two rectangle its upper left corner ordinates are identical with lower right corner ordinate, and one
The lower right corner abscissa of rectangle is adjacent with another rectangle upper left corner abscissa, merges into a rectangle, and then recompression is concurrent
Send image data that the set of rectangular area is included and respective coordinates to client；
Step 14, image receiving terminal will be based on each rectangular region image data after the data decompression of reception and respective coordinates are whole
It is bonded in previous frame image and shows；
Step 15 repeated step 2 every T seconds to step 14, according to the difference of application scenarios and the requirement of bandwidth, between pair
It adjusts every time T；
Audio collection module is connect with central control module, for acquiring voice data information；
Central control module is surveyed with image capture module, audio collection module, online conversation module, English game module, English
Die trial block, display module, sound processing module connection, for image capture module, audio collection module gathered data information
Processing analysis is carried out, and dispatches modules normal work；
The central control module is estimated the jumping moment of each jump using clustering algorithm and is respectively jumped corresponding normalized mixed
When closing matrix column vector, Hopping frequencies, include the following steps：
The first step is right at p (p=0,1,2 ... the P-1) momentThe frequency values of expression are clustered, obtained cluster centre numberIndicate carrier frequency number existing for the p moment,A cluster centre then indicates the size of carrier frequency, uses respectively
It indicates；
Second step utilizes clustering algorithm pair to each sampling instant p (p=0,1,2 ... P-1)It is clustered, equally
It is availableA cluster centre is usedIt indicates；
Third walks, to allIt averages and rounding, obtains the estimation of source signal numberI.e.
4th step, finds outAt the time of, use phIt indicates, to the p of each section of continuous valuehIntermediate value is sought, is used
Indicate the l sections of p that are connectedhIntermediate value, thenIndicate the estimation at first of frequency hopping moment；
5th step is obtained according to estimation in second stepAnd the 4th frequency for estimating in step
It is corresponding that rate jumping moment estimates each jumpA hybrid matrix column vectorSpecifically formula is：
HereIt is corresponding to indicate that l is jumpedA hybrid matrix
Column vector estimated value；
6th step is estimated the corresponding carrier frequency of each jump, is usedIt is corresponding to indicate that l is jumpedIt is a
Frequency estimation, calculation formula are as follows：
Online conversation module, connect with central control module, for online with the one-to-one progress English Dialogue Teaching of student；
English game module, connect with central control module, for carrying out English study training by English game；
English test module, connect with central control module, for carrying out English test to student；
Display module is connect with central control module, for showing English teaching video；
Sound processing module is connect with central control module, for being carried out at de-noising to collected English pronunciation audio
Reason, and it is sent to pronunciation information decoder by denoising voice signal is obtained.
2. English language tutoring system as described in claim 1, which is characterized in that the sound processing module includes：Pronunciation
Info decoder, word generator, phonetic symbol generator；
Pronunciation information decoder, for according to the corresponding phonetic symbol library of the pronunciation model collection that pre-establishes and each pronunciation and
The voice signal received is carried out retrieval one by one and compared, and the result after retrieval is exported to word generator and sound by word library
Mark generator；
Word generator is shown for the Word search result of pronunciation information decoder to be sent to display module 7；
Phonetic symbol generator is shown for the phonetic symbol retrieval result of pronunciation information decoder to be sent to display module 7.
3. a kind of English language teaching application method of English language tutoring system as described in claim 1, which is characterized in that institute
English language teaching application method is stated to include the following steps：
Gathered data information is sent to central control module and handled by step 1, image capture module, audio collection module
Analysis；
Step 2 when teaching, passes through online conversation module and the one-to-one progress English Dialogue Teaching of student；Pass through English game mould
Block carries out English study training；English test is carried out to student by English test module；
When sound typing, denoising is carried out by sound processing module to collected English audio of pronouncing for step 3；
Step 4 shows English teaching video by display module.
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| CN103051367A (en) * | 2012-11-27 | 2013-04-17 | 西安电子科技大学 | Clustering-based blind source separation method for synchronous orthogonal frequency hopping signals |
| CN104735449A (en) * | 2015-02-27 | 2015-06-24 | 成都信息工程学院 | Image transmission method and system based on rectangular segmentation and interlaced scanning |
| CN105225549A (en) * | 2015-10-13 | 2016-01-06 | 安阳师范学院 | A kind of Language for English learning system |
| CN107203953A (en) * | 2017-07-14 | 2017-09-26 | 深圳极速汉语网络教育有限公司 | It is a kind of based on internet, Expression Recognition and the tutoring system of speech recognition and its implementation |
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| CN103051367A (en) * | 2012-11-27 | 2013-04-17 | 西安电子科技大学 | Clustering-based blind source separation method for synchronous orthogonal frequency hopping signals |
| CN104735449A (en) * | 2015-02-27 | 2015-06-24 | 成都信息工程学院 | Image transmission method and system based on rectangular segmentation and interlaced scanning |
| CN105225549A (en) * | 2015-10-13 | 2016-01-06 | 安阳师范学院 | A kind of Language for English learning system |
| CN107203953A (en) * | 2017-07-14 | 2017-09-26 | 深圳极速汉语网络教育有限公司 | It is a kind of based on internet, Expression Recognition and the tutoring system of speech recognition and its implementation |
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Application publication date: 20180810 |