CN106782502A - A kind of speech recognition equipment of children robot - Google Patents
A kind of speech recognition equipment of children robot Download PDFInfo
- Publication number
- CN106782502A CN106782502A CN201611242027.7A CN201611242027A CN106782502A CN 106782502 A CN106782502 A CN 106782502A CN 201611242027 A CN201611242027 A CN 201611242027A CN 106782502 A CN106782502 A CN 106782502A
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- CN
- China
- Prior art keywords
- children
- speech recognition
- model
- recognition equipment
- speech
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Classifications
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/02—Feature extraction for speech recognition; Selection of recognition unit
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J11/00—Manipulators not otherwise provided for
- B25J11/0005—Manipulators having means for high-level communication with users, e.g. speech generator, face recognition means
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/06—Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
- G10L15/065—Adaptation
- G10L15/07—Adaptation to the speaker
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/08—Speech classification or search
- G10L15/18—Speech classification or search using natural language modelling
- G10L15/183—Speech classification or search using natural language modelling using context dependencies, e.g. language models
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/26—Speech to text systems
Abstract
The present invention discloses a kind of speech recognition equipment of children robot, including microcontroller, processor, driver part, multimedia in-out box, speech recognition component, recoding unit, memory module and earth leakage protective device, described driver part respectively with microcontroller, processor, driver part is connected with multimedia in-out box, the microcontroller and processor of interconnection link together with multimedia in-out box, described multimedia in-out box respectively with speech recognition component, recoding unit is connected with memory module, memory module is connected described speech recognition component respectively with recoding unit, described earth leakage protective device is connected with driver part.Through the above way, the present invention is vdiverse in function, using human oriented design, is especially suitable for the early teaching and learning of child, the combination education of voice and animation causes that child teaches study generation interest to early, while the learning machine damage that electric leakage is caused to learning machine when charging can be avoided.
Description
Technical field
The present invention relates to the technical field of robot, more particularly to a kind of speech recognition equipment of children robot.
Background technology
As intelligent mobile terminal technology and interactive voice technology high-speed develop, and interactive voice technology is in intelligent mobile
The extensive use of terminal so that intelligent mobile terminal possesses voice interactive function.In common interactive voice technology, due to being subject to
The different factor influences such as collection complexity and acquisition cost so that be to gather conveniently into human speech in known corpus
Based on material, it is small that children's language material occupies ratio.But, compared with adult, the pronunciation of children has that sound channel length is short, the rate of articulation
Change is big and the features such as more meaningless modal particle, therefore, using the speech recognition system of above-mentioned known corpus to children
The specific aim of voice is not enough, and the degree of accuracy that voice recognition processing is carried out to the voice of adult is higher than children's.
The content of the invention
The present invention solves the technical problem of a kind of speech recognition equipment of children robot of offer, it is adaptable to youngster
Virgin robot, the voice sent to children is identified, and correct voice is sent after identification and notifies to perform related action,
Discrimination to children speech is rationally efficiently improve, reaches stronger to children speech specific aim, phonetic recognization rate is higher, knows
The other more accurate beneficial effect of result.
In order to solve the above technical problems, one aspect of the present invention is:Used there is provided a kind of children robot
Speech recognition equipment, including voice collecting end, voice transmitting terminal, speech corpus, extraction processor, discriminance analysis instrument and
Synchronization module, described voice collecting end is connected with speech corpus, described speech corpus respectively with extraction processor
It is connected with discriminance analysis instrument, described speech corpus pass through extraction processor and discriminance analysis instrument and the synchronous mould being connected
Block links together, and described speech corpus pass through the extraction processor being connected and discriminance analysis instrument is connected with synchronization module
Together, described voice transmitting terminal is connected with synchronization module.
In a preferred embodiment of the present invention, the speech recognition equipment of described children robot also includes language mould
Type, described speech corpus are connected by language model with discriminance analysis instrument.
In a preferred embodiment of the present invention, the speech recognition equipment of described children robot also includes language mould
Type and acoustic model, described speech corpus are connected by language model with discriminance analysis instrument;Described speech corpus
It is connected with extraction processor by acoustic model.
In a preferred embodiment of the present invention, described acoustic model passes through HMM to speech corpus
Interior acoustic feature is modeled.
In a preferred embodiment of the present invention, silence model and modal particle mould are additionally provided with described acoustic model
Type.
In a preferred embodiment of the present invention, described silence model is described sound using 64 gauss hybrid models
Each state of the HMM of simple or compound vowel of a Chinese syllable.
In a preferred embodiment of the present invention, described modal particle model is built together a vertical model using multiple modal particles
Or set up a model respectively to each modal particle.
In a preferred embodiment of the present invention, described language model uses the statistical language model of N-gram.
In a preferred embodiment of the present invention, described speech corpus include the voice language material of adult and the language of children
Sound language material.
In a preferred embodiment of the present invention, the speech recognition equipment of described children robot also includes execution group
Part, described executive module is connected with voice transmitting terminal.
The beneficial effects of the invention are as follows:The speech recognition equipment of children robot of the invention, it is adaptable to children's machine
People, the voice sent to children is identified, and correct voice is sent after identification and notifies to perform related action, rationally high
Discrimination to children speech is improve to effect, reaches stronger to children speech specific aim, phonetic recognization rate is higher, recognition result
More accurate beneficial effect.
Brief description of the drawings
Technical scheme in order to illustrate more clearly the embodiments of the present invention, below will be to that will make needed for embodiment description
Accompanying drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the present invention, for
For those of ordinary skill in the art, on the premise of not paying creative work, other can also be obtained according to these accompanying drawings
Accompanying drawing, wherein:
Fig. 1 is the structural representation of a preferred embodiment of the speech recognition equipment of children robot of the present invention.
Specific embodiment
The technical scheme in the embodiment of the present invention will be clearly and completely described below, it is clear that described implementation
Example is only a part of embodiment of the invention, rather than whole embodiments.Based on the embodiment in the present invention, this area is common
All other embodiment that technical staff is obtained under the premise of creative work is not made, belongs to the model of present invention protection
Enclose.
As shown in figure 1, the embodiment of the present invention includes:
A kind of speech recognition equipment of children robot, including voice collecting end, voice transmitting terminal, speech corpus, extraction
Processor, discriminance analysis instrument and synchronization module, described voice collecting end are connected with speech corpus, described voice language
Material storehouse is connected with extraction processor and discriminance analysis instrument respectively, and described speech corpus pass through the extraction processor being connected
Linked together with discriminance analysis instrument and synchronization module, described speech corpus pass through extraction processor and the identification being connected
Analyzer links together with synchronization module, and described voice transmitting terminal is connected with synchronization module.
In above-mentioned, the speech recognition equipment of described children robot also includes language model and acoustic model, described
Speech corpus be connected with discriminance analysis instrument by language model;Described speech corpus are by acoustic model and extraction
Processor is connected.
Wherein, described speech corpus include the voice language material of adult and the voice language material of children;Described acoustic mode
Type is modeled by HMM to the acoustic feature in speech corpus;Language model is using N-gram's
Statistical language model.
Acoustic model and language model are set up respectively by known speech corpus;The voice signal of children is received, and
Front-end processing is carried out to voice signal;Feature extraction treatment is carried out to the voice signal by front-end processing, to obtain voice letter
Number acoustic feature;Analyzing and processing is identified again after extracting acoustic feature, and voice is believed by acoustic model and language model
Number acoustic feature carry out decoding search, then be identified analyzing and processing to obtain identification text, correspondence is sent after synchronous correction
Voice signal, and notify that children robot performs related action.
Wherein, setting up acoustic model by speech corpus includes:Whole voice language materials in the speech corpus
Feature extraction treatment is carried out, and sound channel length normalization technology is added in the feature extraction processing procedure, it is described to obtain
The acoustic feature of whole voice language materials;Acoustic feature according to whole voice language materials is modeled, to obtain the acoustics
Model.
It should be noted that the acoustic model in the present embodiment is except the configuration mode of conventional Chinese sound case mold,
The silence model and modal particle model that will be described below can also be added.Now to the silence model and the tone in the present embodiment
Word model is introduced respectively.
Due to children's pronunciation Speed variation greatly, and being likely to occur in the voice messaging of children can have a talk about the problem stopped,
Accordingly, it would be desirable to add the silence model feelings Jing Yin to be likely to occur big section in recognizing children speech in the setting of acoustic model
Condition.In the embodiment of the present invention, when acoustic model is set up, it is necessary to set up single model to different pronunciations.By taking Chinese as an example,
Need individually to set up HMM model to 66 sound mothers.Also, the embodiment of the present invention can further increase the description of silence model
Precision.For example, in common sound model, using 32 gauss hybrid models(Gassion Mixture Model, below
Abbreviation GMM)Be described each state of the female HMM of sound, then in the silence model in setting up the embodiment of the present invention, can
64 are at least used so that the use number of GMM to be promoted to.In the embodiment of the present invention, for children's rate of articulation change greatly, appearance
Easily there is the Jing Yin pronunciation characteristic of big section, silence model is added in the sound model set up, improve to children speech information
Discrimination, rationally efficiently increases the accuracy to the identification of children speech information.
In addition, modal particle model can also be added in the acoustic model of embodiment of the present invention foundation.When being pronounced due to children
Insignificant modal particle often occurs, for example " uh ", " ", " ", etc., therefore, to improve the knowledge to children speech information
Rate, does not add modal particle model, individually to modal particle founding mathematical models in the setting of acoustic model.Preferably, the present invention
In embodiment, can in the case of training corpus deficiency, to " uh ", " ", multiple modal particles such as " " build together a vertical mould
Type, can also respectively set up a model to each modal particle in the case where training corpus is more.In the embodiment of the present invention, pin
The pronunciation characteristic more to the insignificant modal particle of children, in the foundation of acoustic model, adds modal particle model, further carries
Discrimination to children speech high, increases the accuracy of identification.
It is production language model, it usually needs substantial amounts of corpus of text is between each words when setting up language model
N-gram is counted.Therefore, in the prior art, the speech corpus of model use are set up closer to the pronunciation side of children
Formula, recognition performance is better.But, children's pronunciation is pronounced with adult and there is huge difference, and most speech corpus
Based on corpus of text of being grown up.Therefore, speech corpus can not exactly describe or cover the articulation type of children.
For obtain can accurate description or cover children articulation type speech corpus, the embodiment of the present invention is to language
Sound corpus carries out deformation process.When deformation process is carried out to speech corpus, it is contemplated that the personality and/or nature of children
And/or instinct, the default denaturation rule of the articulation type for being adapted to children is set.
For example, because the nature or instinct of children are liked to seeing and/or hearing and/or smell and/or lead to for children
Crossing the things that other sense organs touch carries out fantastic association, and causing the articulation type of children, following pronunciation easily occur special
Point:
Same word may be repeated several times.For example " apple is fond of eating " can be said into " apple apple is fond of eating ";The word of suffix is likely to
Can repeat, for example " apple is fond of eating " can be said into " Apples are fond of eating ", or " apple is eaten " etc.;It is insignificant to help sound word to increase,
Such as " apple be fond of eating " can say " apple, uh, nice ", or " apple, eh, fruit, nice " etc..
In the present embodiment, when treating transmogrified text language material and carrying out deformation process, treat first in transmogrified text language material and own
Sentence carry out word segmentation processing.That is, complete sentence is become into independent word.Such as " apple that today, mother bought really is fond of eating " point
Become after word " apple that today, mother bought really is fond of eating ".
Secondly, in the corpus of text to be deformed by word segmentation processing, at least one word of random selection carries out repeating treatment.
In the embodiment of the present invention, the repetition carried out to randomly selected at least one word in the corpus of text to be deformed by word segmentation processing
Treatment, can treat any repetition treatment operation that transmogrified text language material is carried out according to children's articulation type.Preferably, this reality
Apply in example, according to situation common in children's articulation type, choose three kinds of repetition treatment operations, be i.e. word repeats treatment, suffix weight
Process and help sound word to increase treatment again.After treating transmogrified text language material and carrying out word segmentation processing, the present embodiment can be chosen
One or more in above-mentioned three kinds of repetitions treatment operation are denatured to language material to be deformed.Also, in the present embodiment, if choosing
Take three kinds repetition treatment operation in it is various language material to be deformed is deformed, then the present embodiment to perform it is different repeat treatment
Order is without limitation.
Therefore, for the pronunciation characteristic of children, the embodiment of the present invention carries out deformation process to the text of speech corpus, and passes through
The speech corpus of deformation set up more accurate speech model to increase the accuracy for recognizing children speech.
In sum, the speech recognition equipment of children robot of the invention, it is adaptable to children robot, to children institute
The voice for sending is identified, and correct voice is sent after identification and notifies to perform related action, rationally efficiently improves
To the discrimination of children speech, reach stronger to children speech specific aim, phonetic recognization rate is higher, and recognition result is more accurate
Beneficial effect.
Embodiments of the invention are the foregoing is only, the scope of the claims of the invention is not thereby limited, it is every to utilize this hair
Equivalent structure or equivalent flow conversion that bright description is made, or directly or indirectly it is used in other related technology necks
Domain, is included within the scope of the present invention.
Claims (10)
1. a kind of speech recognition equipment of children robot, it is characterised in that including voice collecting end, voice transmitting terminal, language
Sound corpus, extraction processor, discriminance analysis instrument and synchronization module, described voice collecting end are connected with speech corpus
Connect, described speech corpus are connected with extraction processor and discriminance analysis instrument respectively, described speech corpus pass through phase
The extraction processor and discriminance analysis instrument of connection link together with synchronization module, and described speech corpus pass through what is be connected
Extraction processor and discriminance analysis instrument link together with synchronization module, and described voice transmitting terminal is connected with synchronization module.
2. the speech recognition equipment of children robot according to claim 1, it is characterised in that described children's machine
The speech recognition equipment of people also includes language model, and described speech corpus are connected by language model with discriminance analysis instrument
Connect.
3. the speech recognition equipment of children robot according to claim 1, it is characterised in that described children's machine
The speech recognition equipment of people also includes language model and acoustic model, and described speech corpus are by language model and identification
Analyzer is connected;Described speech corpus are connected by acoustic model with extraction processor.
4. the speech recognition equipment of children robot according to claim 3, it is characterised in that described acoustic model
The acoustic feature in speech corpus is modeled by HMM.
5. the speech recognition equipment of children robot according to claim 3, it is characterised in that described acoustic model
In be additionally provided with silence model and modal particle model.
6. the speech recognition equipment of children robot according to claim 5, it is characterised in that described silence model
Each state of the female HMM of sound is described using 64 gauss hybrid models.
7. the speech recognition equipment of children robot according to claim 5, it is characterised in that described modal particle mould
Type is built together using multiple modal particles and a vertical model or sets up a model respectively to each modal particle.
8. the speech recognition equipment of children robot according to claim 3, it is characterised in that described language model
Using the statistical language model of N-gram.
9. the speech recognition equipment of children robot according to claim 1, it is characterised in that described voice language material
Storehouse includes the voice language material of adult and the voice language material of children.
10. the speech recognition equipment of children robot according to claim 1, it is characterised in that described children's machine
The speech recognition equipment of device people also includes executive module, and described executive module is connected with voice transmitting terminal.
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Cited By (7)
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CN108381566A (en) * | 2018-05-04 | 2018-08-10 | 安徽三弟电子科技有限责任公司 | A kind of children's early education robot control system based on feedback detection |
CN109272992A (en) * | 2018-11-27 | 2019-01-25 | 北京粉笔未来科技有限公司 | A kind of spoken language assessment method, device and a kind of device for generating spoken appraisal model |
CN109469967A (en) * | 2018-09-29 | 2019-03-15 | 佛山市中格威电子有限公司 | A kind of air-conditioning system with child custody mode |
WO2019056700A1 (en) * | 2017-09-22 | 2019-03-28 | 深圳壹账通智能科技有限公司 | Voice dialogue robot control method, device, terminal apparatus, and medium |
CN109977426A (en) * | 2017-12-27 | 2019-07-05 | 北京搜狗科技发展有限公司 | A kind of training method of translation model, device and machine readable media |
CN111444306A (en) * | 2020-03-23 | 2020-07-24 | 长沙禾子教育科技有限公司 | Microenvironment family education system |
CN112333550A (en) * | 2020-06-19 | 2021-02-05 | 深圳Tcl新技术有限公司 | Program query method, device, equipment and computer storage medium |
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