CN109147404A - A kind of detection method and device of the phonetic symbol by incorrect pronunciations - Google Patents
A kind of detection method and device of the phonetic symbol by incorrect pronunciations Download PDFInfo
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- CN109147404A CN109147404A CN201810755248.7A CN201810755248A CN109147404A CN 109147404 A CN109147404 A CN 109147404A CN 201810755248 A CN201810755248 A CN 201810755248A CN 109147404 A CN109147404 A CN 109147404A
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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
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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
- G09B7/00—Electrically-operated teaching apparatus or devices working with questions and answers
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
- G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
- G10L25/60—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination for measuring the quality of voice signals
Abstract
The invention discloses a kind of detection method and device of phonetic symbol by incorrect pronunciations, including splitting module, for handling sentence as follows: sentence is split as chunking group, the chunking group is split as chunking, subgroup block, secondary chunking, more secondary chunking, wherein, sentence can split into two or more chunkings, chunking can split into two or more subgroup blocks, subgroup block can split into two or more secondary chunkings, and so on, sentence is split to always word, if word is disyllabic word or polysyllabic word, then it is split to syllable.The present invention, which is improved, detects recognition accuracy to incorrect pronunciations, enhances the function of language learning device, improves the learning efficiency of user.
Description
Technical field
The present invention relates to speech detection technical fields, more specifically, are related to a kind of detection of phonetic symbol by incorrect pronunciations
Method and device.
Background technique
Pronunciation is a fundamental of language learning.In the study stage of a language, accurate pronunciation is often to
Habit person brings confidence, and this confidence can expedite the emergence of the interest of its study, and interest is best teacher again.Accurate pronunciation is not only
It is effect caused by language learning, and is the adequate condition for learning a language well.And precisely identify to be pronounced by learner errors
Phonetic symbol, then be the adequate condition for allowing learner efficiently to correct incorrect pronunciations.
The learning characteristic of language learner combination different language, and using computer communication technology etc., it not only can be from language
Method, hearing, read-write etc. assist user learn language, but also the training that can take an exam, reading training, listen reading training
With audiovisual training etc..
For example, application No. is the patent of invention of CN201110443561.5, " one kind recognizes list by pronunciation in conjunction with image
The language learning system and method for word ", the sound comprising choosing syllable to issue Boeing section, the single-tone containing selection are to issue individual character sound
Sound, choose stressed syllable and analyze pronunciation phonemes to make a sound, with reading and carrying out pronunciation exercises and pronunciation correction.
But existing language learner technology, the detection resolution existed to incorrect pronunciations is low, data-handling efficiency
Low, equipment is low using fluency, the problems such as user's learning efficiency is low.The prior art can detect the sentence to be pronounced by learner errors
And/or word, cannot but detect factor representated by specifically what phonetic symbol by learner errors pronounce and cause sentence or
The pronunciation mistake of word.
Summary of the invention
It is an object of the invention to overcome the deficiencies of the prior art and provide a kind of sound object detection methods by incorrect pronunciations
And device, it improves and recognition accuracy is detected to incorrect pronunciations, enhance the function of language learning device, improve user
Practise efficiency.
The purpose of the present invention is achieved through the following technical solutions: a kind of detection side of the phonetic symbol by incorrect pronunciations
Method, including module is split, for handling sentence as follows: sentence is split as chunking group, and the chunking group is split as group
Block, subgroup block, secondary chunking, more secondary chunking, wherein sentence can split into two or more chunkings, and chunking can
Two or more subgroup blocks are split into, subgroup block can split into two or more secondary chunkings, and so on,
Sentence is split to always word, if word is disyllabic word or polysyllabic word, is split to syllable；Then
To the sentence after fractionation, process is executed based on language learner system:
S1. the first input, pre-enters its standard pronunciation to the first sentence and its chunking group；
S2. the second input carries out voice input to the second sentence and its chunking group；
S3. detection is checked, for detecting in the voice input in step S2 by syllabic nucleus with the standard pronunciation in step S1
Determine whether wrong pronunciation.
Including sub-step further, in step s3:
If S3a user coincide with the standard pronunciation of the sentence about the voice input of sentence, user is about this
All phonetic symbols that sentence is included are all without incorrect pronunciations, then detection terminates；
It is misfitted if S3b user has about the voice input of sentence and the pronunciation of the sentence, user is about the sentence
At least one phonetic symbol pronunciation mistake in all phonetic symbols that son is included, at this point, voice inputs the chunking group of the sentence.
Further, including detecting step S4, further comprise following steps:
S4a. it first detects, whether the chunking voice input of the chunking group in detecting step S3b is wrong, if chunking
Voice inputs wrong pronunciation, then prompts user speech to input subgroup block voice, otherwise terminate to detect；
S4b. the second detection, whether detection subgroup block voice input is wrong, if subgroup block voice inputs wrong hair
Sound then prompts user speech to input time chunking, otherwise terminates to detect；
S4c. third detects, detect the input of time chunking voice whether mistake, if the voice of secondary chunking inputs wrong hair
Sound then prompts user speech to input more secondary chunking, otherwise terminates to detect；
S4d. the 4th detection, detect more secondary chunking voice whether mistake, and so on, until detecting user pronunciation
The syllable or monosyllable of mistake.
A kind of detection device of the syllable by incorrect pronunciations, including module is split, for sentence to be handled as follows:
Sentence is split as chunking group, and the chunking group is split as chunking, subgroup block, secondary chunking, more secondary chunking, wherein sentence can
Two or more chunkings are split into, chunking can split into two or more subgroup blocks, and subgroup block can be torn open
Be divided into two or more secondary chunkings, and so on, sentence is split to always word, if word be disyllabic word or
Person's polysyllabic word, then be split to syllable；Then
To the sentence after fractionation, it is based on language learner system, and following module is set:
First input module, for pre-entering its standard pronunciation to the first sentence and its chunking group；
Second input module, for carrying out voice input to the second sentence and its chunking group；
Syllabic nucleus to detection module, for by voice input in the second input module with to pass through the first input module defeated
The standard pronunciation verification entered, detection determine whether wrong pronunciation.
Further, the syllabic nucleus is to including judgment module in detection module, for judging language of the user about sentence
Sound input whether all with the standard pronunciation of the sentence coincide, if user about sentence voice input all with the standard of the sentence
Pronunciation coincide, then all phonetic symbols that user is included about the sentence are all without incorrect pronunciations, then detection terminates；If user
Have about the voice input of sentence and the pronunciation of the sentence and misfit, then in all phonetic symbols that user is included about the sentence
At least one phonetic symbol pronounce mistake, at this point, allow user speech input sentence chunking group.
Further, the judgment module includes detection module, wherein
First detection sub-module, it is whether wrong for detecting the input of chunking voice, if the voice input of chunking is wrong
Accidentally pronounce, then prompts user speech to input subgroup block voice, otherwise terminate to detect；
Second detection sub-module, it is whether wrong for detecting the input of subgroup block voice, if the input of subgroup block voice has
Incorrect pronunciations then prompt user speech to input time chunking, otherwise terminate to detect；
Third detection sub-module, for detect the input of time chunking voice whether mistake, if the voice input of secondary chunking has
Incorrect pronunciations then prompt user speech to input more secondary chunking, otherwise terminate to detect；
4th detection sub-module, for detect more secondary chunking voice whether mistake, and so on, until detecting to use
The syllable or monosyllable of family pronunciation mistake.
Further, the detection device include learning machine, trainer aircraft, desktop computer, laptop, tablet computer and
Smart phone, in the learning machine, trainer aircraft, desktop computer, laptop, tablet computer and smart phone it is any
The fractionation module, first input module, second input module and the syllabic nucleus are provided with to detection module.
The beneficial effects of the present invention are:
(1) the invention discloses the mechanism detected in language learner to the incorrect pronunciations of user, corresponding mould
Block and function logic (including detailed implementation process) provide the solution of a set of incorrect pronunciations detection, can not only apply
In language learning machine equipment, and it can also apply in various speech detection technological systems；On the one hand based on incorrect pronunciations
Accurate detection identification, can satisfy assessment of the user in study to pronunciation situation, improves learning efficiency；On the other hand, it improves
The incorrect pronunciations recognition accuracy of speech detection technology, enhances the voice detection function in language learning machine equipment, so that
Language learning machine equipment improves data-handling efficiency, improves equipment while having incorrect pronunciations accurate detection function
Using fluency, the stronger market competitiveness is made it have.
(2) device in the present invention has the detectability of language chunking, subgroup block, secondary chunking, more secondary chunking, at present
Language learner in there is not yet similar functions, and disclose its particular technique implementation, provided for those skilled in the art
A kind of solution of specific implementation, the solution improve the learning effect of learner, can be used in school, education training
Instruct mechanism and personal scene etc., market application value with higher.
(3) method and device provided by the invention, facilitate solve China's language teaching present in " Dumb English " or
The universal pain spot of " deaf and dumb English ".
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention without any creative labor, may be used also for those of ordinary skill in the art
To obtain other drawings based on these drawings.
Fig. 1 is structural schematic diagram of the invention.
Specific embodiment
Technical solution of the present invention is described in further detail with reference to the accompanying drawing, but protection scope of the present invention is not limited to
It is as described below.All features disclosed in this specification, or implicit disclosed all methods or in the process the step of, in addition to mutual
Other than the feature and/or step of repulsion, it can combine in any way.
Any feature disclosed in this specification (including any accessory claim, abstract and attached drawing), except non-specifically chatting
It states, can be replaced by other alternative features that are equivalent or have similar purpose.That is, unless specifically stated, each feature is only
It is an example in a series of equivalent or similar characteristics.
Specific embodiments of the present invention are described more fully below, it should be noted that the embodiments described herein is served only for illustrating
Illustrate, is not intended to restrict the invention.In the following description, in order to provide a thorough understanding of the present invention, a large amount of spies are elaborated
Determine details.It will be apparent, however, to one skilled in the art that: this hair need not be carried out using these specific details
It is bright.In other instances, in order to avoid obscuring the present invention, well known circuit, software or method are not specifically described.
As shown in Figure 1, a kind of sound object detection method by incorrect pronunciations, including module is split, for sentence to be pressed such as
Under type processing: sentence is split as chunking group, and the chunking group is split as chunking, subgroup block, secondary chunking, more secondary chunking,
In, sentence can split into two or more chunkings, and chunking can split into two or more subgroup blocks, sub-
Chunking can split into two or more secondary chunkings, and so on, sentence is split to always word, if word is
Disyllabic word or polysyllabic word, then be split to syllable；Then
To the sentence after fractionation, process is executed based on language learner system:
S1. the first input, pre-enters its standard pronunciation to the first sentence and its chunking group；
S2. the second input carries out voice input to the second sentence and its chunking group；
S3. detection is checked, for detecting in the voice input in step S2 by syllabic nucleus with the standard pronunciation in step S1
Determine whether wrong pronunciation.
Including sub-step further, in step s3:
If S3a user coincide with the standard pronunciation of the sentence about the voice input of sentence, user is about this
All phonetic symbols that sentence is included are all without incorrect pronunciations, then detection terminates；
It is misfitted if S3b user has about the voice input of sentence and the pronunciation of the sentence, user is about the sentence
At least one phonetic symbol pronunciation mistake in all phonetic symbols that son is included, at this point, voice inputs the chunking group of the sentence.
Further, including detecting step S4, further comprise following steps:
S4a. it first detects, whether the chunking voice input of the chunking group in detecting step S3b is wrong, if chunking
Voice inputs wrong pronunciation, then prompts user speech to input subgroup block voice, otherwise terminate to detect；
S4b. the second detection, whether detection subgroup block voice input is wrong, if subgroup block voice inputs wrong hair
Sound then prompts user speech to input time chunking, otherwise terminates to detect；
S4c. third detects, detect the input of time chunking voice whether mistake, if the voice of secondary chunking inputs wrong hair
Sound then prompts user speech to input more secondary chunking, otherwise terminates to detect；
S4d. the 4th detection, detect more secondary chunking voice whether mistake, and so on, until detecting user pronunciation
The syllable or monosyllable of mistake.
A kind of detection device of the syllable by incorrect pronunciations, including module is split, for sentence to be handled as follows:
Sentence is split as chunking group, and the chunking group is split as chunking, subgroup block, secondary chunking, more secondary chunking, wherein sentence can
Two or more chunkings are split into, chunking can split into two or more subgroup blocks, and subgroup block can be torn open
Be divided into two or more secondary chunkings, and so on, sentence is split to always word, if word be disyllabic word or
Person's polysyllabic word, then be split to syllable；Then
To the sentence after fractionation, it is based on language learner system, and following module is set:
First input module, for pre-entering its standard pronunciation to the first sentence and its chunking group；
Second input module, for carrying out voice input to the second sentence and its chunking group；
Syllabic nucleus to detection module, for by voice input in the second input module with to pass through the first input module defeated
The standard pronunciation verification entered, detection determine whether wrong pronunciation.
Further, the syllabic nucleus is to including judgment module in detection module, for judging language of the user about sentence
Sound input whether all with the standard pronunciation of the sentence coincide, if user about sentence voice input all with the standard of the sentence
Pronunciation coincide, then all phonetic symbols that user is included about the sentence are all without incorrect pronunciations, then detection terminates；If user
Have about the voice input of sentence and the pronunciation of the sentence and misfit, then in all phonetic symbols that user is included about the sentence
At least one phonetic symbol pronounce mistake, at this point, allow user speech input sentence chunking group.
Further, the judgment module includes detection module, wherein
First detection sub-module, it is whether wrong for detecting the input of chunking voice, if the voice input of chunking is wrong
Accidentally pronounce, then prompts user speech to input subgroup block voice, otherwise terminate to detect；
Second detection sub-module, it is whether wrong for detecting the input of subgroup block voice, if the input of subgroup block voice has
Incorrect pronunciations then prompt user speech to input time chunking, otherwise terminate to detect；
Third detection sub-module, for detect the input of time chunking voice whether mistake, if the voice input of secondary chunking has
Incorrect pronunciations then prompt user speech to input more secondary chunking, otherwise terminate to detect；
4th detection sub-module, for detect more secondary chunking voice whether mistake, and so on, until detecting to use
The syllable or monosyllable of family pronunciation mistake.
Further, the detection device include learning machine, trainer aircraft, desktop computer, laptop, tablet computer and
Smart phone, in the learning machine, trainer aircraft, desktop computer, laptop, tablet computer and smart phone it is any
The fractionation module, first input module, second input module and the syllabic nucleus are provided with to detection module.
Embodiment 1
As shown in Figure 1, a kind of sound object detection method by incorrect pronunciations, including module is split, for sentence to be pressed such as
Under type processing: sentence is split as chunking group, and the chunking group is split as chunking, subgroup block, secondary chunking, more secondary chunking,
In, sentence can split into two or more chunkings, and chunking can split into two or more subgroup blocks, sub-
Chunking can split into two or more secondary chunkings, and so on, sentence is split to always word, if word is
Disyllabic word or polysyllabic word, then be split to syllable；Then
To the sentence after fractionation, process is executed based on language learner system:
S1. the first input, pre-enters its standard pronunciation to the first sentence and its chunking group；
S2. the second input carries out voice input to the second sentence and its chunking group；
S3. detection is checked, for detecting in the voice input in step S2 by syllabic nucleus with the standard pronunciation in step S1
Determine whether wrong pronunciation.
Remaining technical characteristic in the present embodiment, those skilled in the art can flexibly be selected according to the actual situation
With with to meet different specific actual demands.It will be apparent, however, to one skilled in the art that: it need not use
These specific details carry out the present invention.In other instances, in order to avoid obscuring the present invention, well known calculation is not specifically described
Method, method or system etc. limit within technical protection scope in the claimed technical solution of claims of the present invention.
Embodiment 2
A kind of detection device of the syllable by incorrect pronunciations, including module is split, for sentence to be handled as follows:
Sentence is split as chunking group, and chunking group is split as chunking, subgroup block, secondary chunking, more secondary chunking, wherein sentence can be split
At two or more chunkings, chunking can split into two or more subgroup blocks, and subgroup block can be split into
Two or more secondary chunkings, and so on, sentence is split to always word, if word is disyllabic word or more
Syllable word, then be split to syllable；Then
To the sentence after fractionation, it is based on language learner system, and following module is set:
First input module, for pre-entering its standard pronunciation to the first sentence and its chunking group；
Second input module, for carrying out voice input to the second sentence and its chunking group；
Syllabic nucleus to detection module, for by voice input in the second input module with to pass through the first input module defeated
The standard pronunciation verification entered, detection determine whether wrong pronunciation.
Remaining technical characteristic in the present embodiment, those skilled in the art can flexibly be selected according to the actual situation
With with to meet different specific actual demands.It will be apparent, however, to one skilled in the art that: it need not use
These specific details carry out the present invention.In other instances, in order to avoid obscuring the present invention, well known calculation is not specifically described
Method, method or system etc. limit within technical protection scope in the claimed technical solution of claims of the present invention.
For the aforementioned method embodiment, for simple description, therefore, it is stated as a series of action combinations, still
Those skilled in the art should understand that the application is not limited by the described action sequence, because according to the application, it is a certain
A little steps can be performed in other orders or simultaneously.Secondly, those skilled in the art should also know that, it is retouched in specification
The embodiment stated belongs to preferred embodiment, necessary to related movement and unit not necessarily the application.
It will be appreciated by those of skill in the art that unit described in conjunction with the examples disclosed in the embodiments of the present disclosure and
Algorithm steps can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually with hard
Part or software mode execute, the specific application and design constraint depending on technical solution.Professional technician can be with
Each specific application is come to realize described function using distinct methods, but this realization should not exceed model of the invention
It encloses.
Disclosed system, module and method, may be implemented in other ways.For example, device described above
Embodiment, only schematically, for example, the division of the unit, can be only a kind of logical function partition, it is practical to realize
When there may be another division manner, such as multiple units or components can be combined or can be integrated into another system, or
Some features can be ignored or not executed.Another point, shown or discussed mutual coupling or direct-coupling or communication
Connection is it may be said that through some interfaces, the indirect coupling or communication connection of device or unit can be electrical property, mechanical or other
Form.
The unit that the discrete parts illustrates can be or can not also receive and is physically separated, shown as a unit
Component can be or can not receive physical unit, it can and it is in one place, or may be distributed over multiple network lists
In member.It can select some or all of unit therein according to the actual needs to realize the purpose of the scheme of the present embodiment.
It, can be with if the function is realized in the form of SFU software functional unit and when sold or used as an independent product
It is stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially right in other words
The part of part or the technical solution that the prior art contributes can be embodied in the form of software products, the calculating
Machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be individual
Computer, server or network equipment etc.) it performs all or part of the steps of the method described in the various embodiments of the present invention.And
Storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory
The various media that can store program code such as device (Random Access Memory, RAM), magnetic or disk.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in the method for above-described embodiment, being can
It is completed with instructing relevant hardware by computer program, the program can be stored in computer-readable storage medium
In, the program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, the storage medium can be magnetic
Dish, CD, ROM, RAM etc..
The above is only a preferred embodiment of the present invention, it should be understood that the present invention is not limited to described herein
Form should not be regarded as an exclusion of other examples, and can be used for other combinations, modifications, and environments, and can be at this
In the text contemplated scope, modifications can be made through the above teachings or related fields of technology or knowledge.And those skilled in the art institute into
Capable modifications and changes do not depart from the spirit and scope of the present invention, then all should be in the protection scope of appended claims of the present invention
It is interior.
Claims (7)
1. a kind of sound object detection method by incorrect pronunciations, which is characterized in that as follows for pressing sentence including splitting module
Mode is handled: sentence is split as chunking group, and the chunking group is split as chunking, subgroup block, secondary chunking, more secondary chunking, wherein
Sentence can split into two or more chunkings, and chunking can split into two or more subgroup blocks, subgroup
Block can split into two or more secondary chunkings, and so on, sentence is split to always word, if word is double
Syllable word or polysyllabic word, then be split to syllable；Then
To the sentence after fractionation, process is executed based on language learner system:
S1. the first input, pre-enters its standard pronunciation to the first sentence and its chunking group；
S2. the second input carries out voice input to the second sentence and its chunking group；
S3. the voice input in step S2 is checked with the standard pronunciation in step S1, is determined for detecting to detection by syllabic nucleus
Whether vicious pronunciation.
2. a kind of sound object detection method by incorrect pronunciations according to claim 1, which is characterized in that in step S3
In, including sub-step:
If S3a user coincide with the standard pronunciation of the sentence about the voice input of sentence, user is about the sentence
All phonetic symbols for being included are all without incorrect pronunciations, then detection terminates；
It is misfitted if S3b user has about the voice input of sentence and the pronunciation of the sentence, user is about the sentence institute
At least one phonetic symbol pronunciation mistake in all phonetic symbols for including, at this point, voice inputs the chunking group of the sentence.
3. a kind of sound object detection method by incorrect pronunciations according to claim 2, which is characterized in that walked including detection
Rapid S4, further comprises following steps:
S4a. it first detects, whether the chunking voice input of the chunking group in detecting step S3b is wrong, if the voice of chunking
Wrong pronunciation is inputted, then prompts user speech to input subgroup block voice, otherwise terminates to detect；
S4b. the second detection, whether detection subgroup block voice input is wrong, if subgroup block voice inputs wrong pronunciation,
It prompts user speech to input time chunking, otherwise terminates to detect；
S4c. third detects, detect the input of time chunking voice whether mistake, if the voice of secondary chunking inputs wrong pronunciation,
It prompts user speech to input more secondary chunking, otherwise terminates to detect；
S4d. the 4th detection, detect more secondary chunking voice whether mistake, and so on, until detecting user pronunciation mistake
Syllable or monosyllable.
4. a kind of detection device of the syllable by incorrect pronunciations, which is characterized in that as follows for pressing sentence including splitting module
Mode is handled: sentence is split as chunking group, and the chunking group is split as chunking, subgroup block, secondary chunking, more secondary chunking, wherein
Sentence can split into two or more chunkings, and chunking can split into two or more subgroup blocks, subgroup
Block can split into two or more secondary chunkings, and so on, sentence is split to always word, if word is double
Syllable word or polysyllabic word, then be split to syllable；Then
To the sentence after fractionation, it is based on language learner system, and following module is set:
First input module, for pre-entering its standard pronunciation to the first sentence and its chunking group；
Second input module, for carrying out voice input to the second sentence and its chunking group；
Syllabic nucleus is to detection module, for what is inputted by the voice input in the second input module and by the first input module
Standard pronunciation verification, detection determine whether wrong pronunciation.
5. a kind of detection device of syllable by incorrect pronunciations according to claim 4, which is characterized in that the syllabic nucleus
To including judgment module in detection module, for judging whether user all sends out with the standard of the sentence about the voice input of sentence
Sound coincide, if user coincide with the standard pronunciation of the sentence about the voice input of sentence, user is about the sentence
All phonetic symbols for being included are all without incorrect pronunciations, then detection terminates；If voice input and the sentence of the user about sentence
Pronunciation have and misfit, then at least one phonetic symbol pronounces mistake in all phonetic symbols that user is included about the sentence, this
When, allow user speech to input the chunking group of sentence.
6. a kind of detection device of syllable by incorrect pronunciations according to claim 6, which is characterized in that the judgement mould
Block includes detection module, wherein
First detection sub-module, it is whether wrong for detecting the input of chunking voice, if the voice of chunking inputs wrong hair
Sound then prompts user speech to input subgroup block voice, otherwise terminates to detect；
Second detection sub-module, it is whether wrong for detecting the input of subgroup block voice, if the input of subgroup block voice is wrong
Pronunciation then prompts user speech to input time chunking, otherwise terminates to detect；
Third detection sub-module, for detect the input of time chunking voice whether mistake, if the voice input of secondary chunking is wrong
Pronunciation then prompts user speech to input more secondary chunking, otherwise terminates to detect；
4th detection sub-module, for detect more secondary chunking voice whether mistake, and so on, until detecting that user sends out
The syllable or monosyllable of sound mistake.
7. a kind of detection device of syllable by incorrect pronunciations according to claim 5, which is characterized in that the detection dress
Set including learning machine, trainer aircraft, desktop computer, laptop, tablet computer and smart phone, the learning machine, trainer aircraft,
Any one of desktop computer, laptop, tablet computer and smart phone are provided with the fractionation module, described first
Input module, second input module and the syllabic nucleus are to detection module.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810755248.7A CN109147404A (en) | 2018-07-11 | 2018-07-11 | A kind of detection method and device of the phonetic symbol by incorrect pronunciations |
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Citations (9)
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