CN102800315A - Vehicle-mounted voice control method and system - Google Patents
Vehicle-mounted voice control method and system Download PDFInfo
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Abstract
The invention relates to a vehicle-mounted voice control method and a system. The method comprises the following steps: mounting microphones on the seats of an automobile and setting permissions for the microphones; acquiring a voice command through a microphone to recognize; conforming the microphone receiving the voice command; and executing a corresponding voice command according to the permission of the microphone receiving the voice command. The system comprises microphones which are mounted to the seats of the automobile and for which permissions are set, a voice recognition subsystem, a confirmation module and an execution module. By adopting the vehicle-mounted voice control method and the system provided by the invention, all passengers in the vehicle can control various applications in the vehicle.
Description
Technical field
The present invention relates to technical field of automotive electronics, particularly relate to a kind of vehicle-mounted voice control method and system.
Background technology
Along with people's is to pursuit healthy, remarkable quality of the life, and powerful computing machine incorporates among the automobile industry gradually, and the automobile electronics computer integration is being represented the main flow direction of following automotive electronic technology and production development.In brief, truck-mounted computer is exactly to install the shared computing machine of people's car onboard additional.Based on the vehicle computing machine platform; Each automobile can be built into a perfect on-vehicle information and entertainment systems terminal; Can be incorporated into a plurality of onboard systems such as line monitoring system, in-vehicle communication system, navigation monitoring system, digital entertainment system, DAS (Driver Assistant System), driver status analytic system, vehicle drive environment detection system, driver and crew can realize easily that online fault detect, file processing, wireless Internet access, GPS navigation, audio-visual broadcast, digital moving-tv receive, running information is browsed in the car, remote monitoring, Car reversion image-forming, driver status is kept watch on and function such as driving environment supervision comprehensively.
Along with the continuous development of social civilization, the mankind step into the intelligence epoch gradually, and are also increasingly high to the intelligent requirements degree of instrument simultaneously, convenient fashion, and intellectuality becomes pursuing one's goal of contemporary people, Based Intelligent Control, the notion of information electronics is arisen at the historic moment thus.Speech recognition technology can provide friendly interactive interface for the driver, the potential danger of avoiding the driver when driving, to cause owing to manual operation.
But existingly have voice-operated onboard system and all microphone is placed near the driver; Be convenient to the better voice messaging that must receive the driver; But in actual use; Copilot passenger or back row passenger also need control the car machine through voice, and existing microphone allocation method can't satisfy above demand.Because copilot passenger or back row passenger's sound can't clearly be transferred to driver's microphone, cause the identification difficulty.
Summary of the invention
Technical matters to be solved by this invention provides a kind of vehicle-mounted voice control method and system, makes that the passenger in the vehicle can be through the various application of voice control vehicle.
The technical solution adopted for the present invention to solve the technical problems is: a kind of vehicle-mounted voice control method is provided, may further comprise the steps:
(1) on each seat of automobile, microphone is installed, and microphone is provided with authority;
(2) obtain voice command through microphone, and discern;
(3) acknowledge receipt of the microphone of voice command;
(4) carry out the relevant voice order according to the authority of receiving the voice command microphone.
The authority that is installed in the microphone on the driver's seat in the said step (1) is various vehicular applications authorities.
The authority that is installed in the microphone on front passenger's seat and the back row seats in the said step (1) is music and broadcasted application authority.
Adopt the method for template matches that voice command is discerned in the said step (2).
Said step (2) if in can't voice command recognition, reporting errors then, microphone obtains the user's voice order again.
The technical solution adopted for the present invention to solve the technical problems is: a kind of vehicle-mounted voice control system also is provided, comprises the microphone, speech recognition subsystem, affirmation module and the execution module that are installed on each seat of automobile and are provided with authority; Said microphone has and obtains voice command; Said speech recognition subsystem is used for the voice command that microphone obtains is discerned; Said affirmation module is used to acknowledge receipt of the microphone of voice command; Said execution module is used for carrying out the relevant voice order according to the authority of said microphone.
The said authority that is installed in the microphone on the driver's seat is various vehicular applications authorities.
The authority of said microphone on front passenger's seat and back row seats is music and broadcasted application authority.
Said speech recognition subsystem comprises voice signal pre-service and characteristic extracting module, acoustic model and pattern match module and language model and language processing module; Said voice signal pre-service and characteristic extracting module are used for voice command is carried out pre-service and feature extraction; Said acoustic model and pattern match module are used for the characteristic of extracting is mated with the acoustics model and relatively obtained matching result; Said language model and language processing module with according to language model to the matching result identification of finishing dealing with.
Said vehicle-mounted voice control system also comprises the error reporting module, and said error reporting module is carried out error reporting when said speech recognition subsystem recognition failures.Beneficial effect
Owing to adopted above-mentioned technical scheme, the present invention compared with prior art has following advantage and good effect: the present invention is installed a microphone additional at each passenger position place and is used for received speech signal and transfers to speech recognition system.For fear of the control confusion phenomena occurring; Each different microphone is provided with different identification authorities; When receiving voice command, after identification, can discern authority and accomplish function corresponding according to difference, therefore can be so that the passenger in the vehicle can be through the various application of voice control vehicle; Through the setting of authority, make voice control the phenomenon that can not cause confusion.
Description of drawings
Fig. 1 is the process flow diagram of first embodiment of the invention;
Fig. 2 is the block scheme of second embodiment of the invention;
Fig. 3 is the block scheme that has the error reporting function in the second embodiment of the invention.
Embodiment
Below in conjunction with specific embodiment, further set forth the present invention.Should be understood that these embodiment only to be used to the present invention is described and be not used in the restriction scope of the present invention.Should be understood that in addition those skilled in the art can do various changes or modification to the present invention after the content of having read the present invention's instruction, these equivalent form of values fall within the application's appended claims institute restricted portion equally.
First embodiment of the present invention relates to a kind of vehicle-mounted voice control method, may further comprise the steps: microphone is installed in (1) on each seat of automobile, and microphone is provided with authority; (2) obtain voice command through microphone, and discern; The microphone of the voice command that (3) acknowledges receipt of; (4) carry out the relevant voice order according to the authority of the microphone of receiving voice command.The concrete steps of this embodiment are as shown in Figure 1.
Can authority be set to each locational microphone after installing microphone; Such as; The authority that is installed in the microphone on the driver's seat is various vehicular applications authorities; That is to say, be installed in microphone on the driver's seat and receive that any voice command onboard system of driver can both carry out, such as starting order such as vehicle mounted guidance; The authority of the microphone on front passenger's seat and the back row seats is music and broadcasted application authority; That is to say; User on front passenger's seat and the back row seats only when sending the voice command relevant with music or broadcasting onboard system could carry out, such as opening order of broadcasting or the like.
Then get into step 120, obtain voice command, and discern through microphone.That is to say that after the passenger on the seat sent voice command, microphone acquired this voice command, and began voice command is discerned.
In this step, can use the method for template matches to discern to voice command.In template matching method, be through four steps: feature extraction, template training, template classification, judgement.Technology commonly used has three kinds: dynamic time warping (DTW), theoretical, vector quantization (VQ) technology of hidden Markov (HMM).
Dynamic time warping (DTW): the end-point detection of voice signal is a basic step of carrying out in the speech recognition, and it is features training and base of recognition.So-called end-point detection is exactly the initial point of the various paragraphs (like phoneme, syllable, morpheme) in voice signal and the position of terminal point, from voice signal, gets rid of unvoiced segments.The thought of this algorithm is exactly to rise long or shortening to unknown quantity uniformly, up to consistent with the length of reference model.In this course, the time shaft of unknown words will twist or bend unevenly, so that its characteristic and the aspect of model align.
Hidden Markov method (HMM): the HMM method is that the time series structure of voice signal is set up statistical model; An as mathematical dual random process of regarding: one is the implicit stochastic process of coming the analog voice signal statistical property to change with the Markov chain with finite state number, and another is the stochastic process of the observation sequence that is associated with markovian each state.The former shows through the latter, but the former concrete parameter is immesurable.In fact people's speech process is exactly a dual random process, and voice signal itself is one and becomes sequence when observable, is that the parameter of the phoneme that sent according to the knowledge of grammar and speech needs (unobservable state) by brain flows.It is thus clear that HMM has reasonably imitated this process, the whole non-stationary and local stationarity of voice signal has been described well, be comparatively desirable a kind of speech model.
Vector quantization (VQ): this method is a kind of important compression method.Compare with HMM, vector quantization mainly is applicable in the speech recognition of little vocabulary, isolated word.Its process is: with each frame of k sampling point of voice signal waveform, or each parameter frame of k parameter is arranged, constitute a vector in the k dimension space, then vector is quantized.During quantification, k is tieed up infinite space be divided into M zone boundary, then input vector and these borders are compared, and be quantified as the center vector value of " distance " minimum zone boundary.
In step 130, judge whether voice command discerns success, if success then gets into step 150, otherwise get into step 140.
At last; Get into step 160, carry out the relevant voice order, that is to say according to the authority of receiving the voice command microphone; After which microphone onboard system is judged and has been received voice command; Judge whether carry out the relevant voice order according to the authority of this microphone, if should would carry out, otherwise with regard to reporting errors.Such as judging when onboard system is that microphone on the driver's seat has been received voice command, because the microphone on the driver's seat is enjoyed the highest weight limit, promptly can respond various vehicular applications authorities, and onboard system is then carried out application corresponding according to voice command.Say for another example; Judging when onboard system is that microphone on the back row seats has been received voice command; Because the authority of the microphone of back row seats only is music and broadcasted application authority, if the voice command of receiving is to start vehicle mounted guidance order, then reporting errors; If the voice command of receiving is to open broadcasting, then open broadcasting according to this voice command.
This shows that the present invention is installed a microphone additional at each passenger position place and is used for received speech signal, and the voice signal of receiving is carried out speech recognition, thereby make the passenger in the vehicle can pass through the various application that vehicle controlled in voice.For fear of the control confusion phenomena occurring; Each different microphone is provided with different identification authorities; When receiving voice command, after identification, can discern authority and accomplish function corresponding according to difference, therefore can be so that the passenger in the vehicle can be through the various application of voice control vehicle; Through the setting of authority, make voice control the phenomenon that can not cause confusion.
Second embodiment of the present invention relates to a kind of vehicle-mounted voice control system, and is as shown in Figure 2, comprises the microphone 210, speech recognition subsystem 220, affirmation module 230 and the execution module 240 that are installed on each seat of automobile and are provided with authority; Said microphone 210 has and obtains voice command; Said speech recognition subsystem 220 is used for the voice command that microphone obtains is discerned; The microphone of the voice command that said affirmation module 230 is used to acknowledge receipt of; Said execution module 240 is used for carrying out the relevant voice order according to the authority of said microphone.
Wherein, the said authority that is installed in the microphone on the driver's seat is various vehicular applications authorities, that is to say, is installed in microphone on the driver's seat and receives that any voice command onboard system of driver can both carry out, such as starting order such as vehicle mounted guidance; The authority of said microphone on front passenger's seat and back row seats is music and broadcasted application authority; That is to say; User on front passenger's seat and the back row seats only when sending the voice command relevant with music or broadcasting onboard system could carry out, such as opening order of broadcasting or the like.
Said speech recognition subsystem comprises voice signal pre-service and characteristic extracting module, acoustic model and pattern match module and language model and language processing module; Said voice signal pre-service and characteristic extracting module are used for voice command is carried out pre-service and feature extraction; Said acoustic model and pattern match module are used for the characteristic of extracting is mated with the acoustics model and relatively obtained matching result; Said language model and language processing module with according to language model to the matching result identification of finishing dealing with.
Voice signal pre-service and characteristic extracting module, this module are the first steps of speech recognition.Speech recognition has three kinds of word (sentence), syllable and phonemes, specifically select any, by concrete task decision.Word (sentence) unit is widely used in medium and small vocabulary speech recognition system, but is not suitable for big lexical system, and reason is that model bank is too huge, and the training pattern task is heavy, and the Model Matching complex algorithm is difficult to requirement of real time.Syllable unit is more common in Chinese speech identification, and is main because Chinese is the language of single syllable structure, and English is multisyllable, though and Chinese about 1300 syllables are arranged, if do not consider tone, have 408 no tunings to save approximately, quantity is less relatively.Therefore, in, the large vocabulary Chinese speech recognition system, be that recognition unit is feasible basically with the syllable.Phoneme unit was more common in the research of English Phonetics identification in the past, but at present, the large vocabulary Chinese speech recognition system also adopting more and more.Reason is that Chinese syllable only is made up of initial consonant (comprising that zero initial has 22) and simple or compound vowel of a Chinese syllable (having 28), and the female acoustic characteristic of sound differs greatly.Often constitute the refinement initial consonant to initial consonant according to the difference of follow-up simple or compound vowel of a Chinese syllable in the practical application,, improved the separating capacity of easy confusion tone joint though increased the model number like this.Basic problem of speech recognition is reasonably to select characteristic for use.The purpose of characteristic parameter extraction is that voice signal is carried out analyzing and processing, removes and the irrelevant redundant information of speech recognition, obtains to influence the important information of speech recognition, simultaneously voice signal is compressed.In practical application, the compressibility of voice signal is between 10-100.Voice signal has comprised a large amount of various information, extracts which information, with which kind of mode extracts, and need take all factors into consideration the factor of each side, like cost, and performance, response time, calculated amount etc.The unspecified person speech recognition system generally stresses to extract the semantic characteristic parameter of reflection, removes speaker's personal information as far as possible; Persona certa's speech recognition system then hopes when extracting the semantic characteristic parameter of reflection, also to comprise speaker's personal information as far as possible.Linear prediction (LP) analytical technology is present widely used Technique of Feature Extraction, and many successful application systems all adopt the cepstrum parameter that extracts based on the LP technology.Mel parameter and the perception linear prediction cepstrum that extracts based on perception linear prediction (PLP) analysis have been simulated the processing feature of people's ear to voice to a certain extent.Experiment showed, and adopt this technology, the performance of speech recognition system improves.Now plum spends formula cepstrum parameter and replaces the cepstrum parameter that linear predictive coding commonly used is originally derived gradually, and reason is that it has considered human sounding and the characteristic that receives sound, has better robustness (Robustness).
Acoustic model and pattern match module are to use training algorithm to train the back to produce the phonetic feature that obtains.Phonetic feature with input when identification matees and compares with acoustics model (pattern), obtains optimal results.Acoustic model is the bottom model of recognition system, and is the part of most critical in the speech recognition system.The purpose of acoustic model provides a kind of feature vector sequence of effective method computing voice and the distance between each pronunciation template.The design of acoustic model is closely related with the language pronouncing characteristics.Acoustic model cell size (word pronunciation model, semitone joint model or phoneme model) is to voice training data volume size, system recognition rate, and dirigibility has bigger influence.Must determine the size of recognition unit according to the characteristics of different language, the size of recognition system vocabulary.With Chinese is example: Chinese is divided into consonant, single vowel, post-equalization sound, answers four kinds of nose last or end syllables by the pronunciation character of phoneme, is categorized as initial consonant and simple or compound vowel of a Chinese syllable by syllable structure, and constitutes initial consonant or simple or compound vowel of a Chinese syllable by phoneme.The simple or compound vowel of a Chinese syllable that sometimes, will contain tone be called transfer female.Become syllable by single accent mother or by initial consonant with transferring female phonetic.The sound that syllable is exactly a word of Chinese, i.e. a syllable word of Chinese.Constitute speech by syllable word, constitute sentence by speech more at last.So mandarin initial has 22, and comprising zero initial, simple or compound vowel of a Chinese syllable has 38.Press the phoneme classification, Chinese consonant has 22,13 of single vowels, 13 of post-equalization sounds, 16 of multiple nose last or end syllables.Acoustic model primitive commonly used at present is sound mother, syllable or speech, chooses different primitives according to realization purpose difference.Chinese adds that modal particle has 412 syllables; Comprise the schwa word, having 1282 has the accent syllable word, so when selecting for use speech as primitive often in little vocabulary alone word voice identification; Often adopt syllable or the female modeling of sound in big vocabulary predicative sound identification; And when continuous speech recognition, because the female modeling of sound is often adopted in the influence of coarticulation.Based on the speech recognition modeling of statistics commonly used be exactly the HMM model.
Language model and language processing module comprise grammer network that is made up of voice command recognition or the language model that is made up of statistical method, and Language Processing can be carried out grammer, semantic analysis.The speech recognition system particular importance of language model centering, large vocabulary.When classification makes a mistake, can judge correction according to linguistic model, syntactic structure, semantics, particularly some phonetically similar words then must could be confirmed the meaning of a word through context mechanism.Linguistic theory comprises the parties concerned such as mathematics description model of semantic structure, syntax rule, language.Relatively successful language model normally adopts language model and the rule-based syntactic structure command language model of adding up grammer at present.Syntactic structure can limit the interconnected relationship between the different speech, has reduced the search volume of recognition system, and this helps improving the identification of system.
What deserves to be mentioned is that as shown in Figure 3, said vehicle-mounted voice control system also comprises error reporting module 250, said error reporting module 250 is carried out error reporting when said speech recognition subsystem identification 220 is failed.
Be not difficult to find that the present invention is installed a microphone additional at each passenger position place and is used for received speech signal and transfers to speech recognition system.For fear of the control confusion phenomena occurring; Each different microphone is provided with different identification authorities; When receiving voice command, after identification, can discern authority and accomplish function corresponding according to difference, therefore can be so that the passenger in the vehicle can be through the various application of voice control vehicle; Through the setting of authority, make voice control the phenomenon that can not cause confusion.
Claims (10)
1. a vehicle-mounted voice control method is characterized in that, may further comprise the steps:
(1) on each seat of automobile, microphone is installed, and microphone is provided with authority;
(2) obtain voice command through microphone, and discern;
(3) acknowledge receipt of the microphone of voice command;
(4) carry out the relevant voice order according to the authority of receiving the voice command microphone.
2. vehicle-mounted voice control method according to claim 1 is characterized in that, the authority that is installed in the microphone on the driver's seat in the said step (1) is various vehicular applications authorities.
3. vehicle-mounted voice control method according to claim 1 is characterized in that, the authority that is installed in the microphone on front passenger's seat and the back row seats in the said step (1) is music and broadcasted application authority.
4. vehicle-mounted voice control method according to claim 1 is characterized in that, adopts the method for template matches that voice command is discerned in the said step (2).
5. vehicle-mounted voice control method according to claim 4 is characterized in that, said step (2) if in can't voice command recognition, reporting errors then, microphone obtains the user's voice order again.
6. a vehicle-mounted voice control system is characterized in that, comprises the microphone, speech recognition subsystem, affirmation module and the execution module that are installed on each seat of automobile and are provided with authority; Said microphone has and obtains voice command; Said speech recognition subsystem is used for the voice command that microphone obtains is discerned; Said affirmation module is used to acknowledge receipt of the microphone of voice command; Said execution module is used for carrying out the relevant voice order according to the authority of said microphone.
7. vehicle-mounted voice control system according to claim 6 is characterized in that, the said authority that is installed in the microphone on the driver's seat is various vehicular applications authorities.
8. vehicle-mounted voice control system according to claim 6 is characterized in that, the authority of said microphone on front passenger's seat and back row seats is music and broadcasted application authority.
9. vehicle-mounted voice control system according to claim 6 is characterized in that, said speech recognition subsystem comprises voice signal pre-service and characteristic extracting module, acoustic model and pattern match module and language model and language processing module; Said voice signal pre-service and characteristic extracting module are used for voice command is carried out pre-service and feature extraction; Said acoustic model and pattern match module are used for the characteristic of extracting is mated with the acoustics model and relatively obtained matching result; Said language model and language processing module with according to language model to the matching result identification of finishing dealing with.
10. vehicle-mounted voice control system according to claim 9 is characterized in that, said vehicle-mounted voice control system also comprises the error reporting module, and said error reporting module is carried out error reporting when said speech recognition subsystem recognition failures.
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