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CN107704275A - Smart machine awakening method, device, server and smart machine - Google Patents

Smart machine awakening method, device, server and smart machine Download PDF

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Publication number
CN107704275A
CN107704275A CN201710786739.3A CN201710786739A CN107704275A CN 107704275 A CN107704275 A CN 107704275A CN 201710786739 A CN201710786739 A CN 201710786739A CN 107704275 A CN107704275 A CN 107704275A
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China
Prior art keywords
smart machine
wake
word
voice signal
server
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Granted
Application number
CN201710786739.3A
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Chinese (zh)
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CN107704275B (en
Inventor
谢波
孙杨
谢延
钱胜
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Baidu Online Network Technology Beijing Co Ltd
Beijing Baidu Netcom Science and Technology Co Ltd
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Beijing Baidu Netcom Science and Technology Co Ltd
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Priority to CN201710786739.3A priority Critical patent/CN107704275B/en
Publication of CN107704275A publication Critical patent/CN107704275A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/4401Bootstrapping
    • G06F9/4418Suspend and resume; Hibernate and awake
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/06Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
    • G10L15/063Training
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/22Procedures used during a speech recognition process, e.g. man-machine dialogue
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/28Constructional details of speech recognition systems
    • G10L15/30Distributed recognition, e.g. in client-server systems, for mobile phones or network applications
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/22Procedures used during a speech recognition process, e.g. man-machine dialogue
    • G10L2015/223Execution procedure of a spoken command

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Human Computer Interaction (AREA)
  • Theoretical Computer Science (AREA)
  • Acoustics & Sound (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Health & Medical Sciences (AREA)
  • Multimedia (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Computational Linguistics (AREA)
  • General Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Computer Security & Cryptography (AREA)
  • Telephonic Communication Services (AREA)

Abstract

The present invention proposes a kind of smart machine awakening method, device, server and smart machine, wherein, this method includes:Obtain the voice signal that smart machine is sent;The voice signal is identified, determines recognition result corresponding to the voice signal;When it is determined that any matching degree for waking up word model corresponding with the smart machine is more than threshold value in the recognition result, wake-up instruction is issued to the smart machine.Thus, voice signal is identified by using server and wake-up control is carried out to smart machine, reduce the consumption of hardware performance in wakeup process, and user is allowd to wake up smart machine using customized wake-up word, enrich wake-up word, the flexibility of wake-up is improved, the individual demand of user can be better met, improves Consumer's Experience.

Description

Smart machine awakening method, device, server and smart machine
Technical field
The present invention relates to intelligent device management technical field, more particularly to a kind of smart machine awakening method, device, service Device and smart machine.
Background technology
At present, as the development and the improvement of people's living standards of science and technology, the smart machine of such as intelligent sound box are extensive Applied in the life of people, study and work.
Prior art, when being controlled to smart machine, it is necessary to be waken up first with word is waken up to smart machine, then Smart machine is controlled by control instruction.When being waken up to smart machine, mode that generally use wakes up offline, Using single fixed wake-up word set in advance or several wake-up words of fixation, smart machine is waken up.
The above-mentioned mode waken up to smart machine, wake-up word is single, renewal is dumb, it is impossible to meets the individual character of user Change demand, and wakeup process may consume more hardware performance, poor user experience.
The content of the invention
It is contemplated that at least solves one of technical problem in correlation technique to a certain extent.
Therefore, the present invention proposes a kind of smart machine awakening method, voice signal is identified by using server And wake-up control is carried out to smart machine, the consumption of hardware performance in wakeup process is reduced, and user is utilized certainly The wake-up word of definition wakes up smart machine, enriches wake-up word, improves the flexibility of wake-up, can better meet user's Individual demand, improve Consumer's Experience.
The present invention also proposes another smart machine awakening method.
The present invention also proposes a kind of smart machine Rouser.
The present invention also proposes another smart machine Rouser.
The present invention also proposes a kind of server.
The present invention also proposes a kind of smart machine.
The present invention also proposes a kind of computer-readable recording medium.
The present invention also proposes another computer-readable recording medium.
First aspect present invention embodiment proposes a kind of smart machine awakening method, including:Smart machine is obtained to send Voice signal;The voice signal is identified, determines recognition result corresponding to the voice signal;It is determined that the knowledge When any matching degree for waking up word model corresponding with the smart machine is more than threshold value in other result, under the smart machine Hair wakes up instruction.
The smart machine awakening method of the embodiment of the present invention, the voice signal that smart machine is sent is obtained first, it is then right Voice signal is identified, and determines recognition result corresponding to the voice signal, it is determined that the recognition result and the intelligence When any matching degree for waking up word model is more than threshold value corresponding to equipment, wake-up instruction is issued to the smart machine.Thus, lead to Cross and voice signal is identified using server and wake-up control is carried out to smart machine, reduce hardware in wakeup process The consumption of energy, and allow user to wake up smart machine using customized wake-up word, wake-up word is enriched, improves wake-up Flexibility, the individual demand of user can be better met, improve Consumer's Experience.
Second aspect of the present invention embodiment proposes a kind of smart machine awakening method, including:To the voice signal of acquisition It is identified, obtains recognition result;It is determined that the recognition result is respectively less than threshold with default N number of matching degree for waking up word model During value, the voice signal is sent to server, so that the speech signal is identified the server, wherein N is Positive integer more than or equal to 1;If getting the wake-up instruction that the server returns, smart machine is waken up.
The smart machine awakening method of the embodiment of the present invention, it is identified in the voice signal to acquisition, obtains identification knot After fruit, however, it is determined that recognition result is respectively less than threshold value with default N number of matching degree for waking up word model, then is sent to voice signal Server, so that voice signal is identified server, if getting the wake-up instruction of server return, wakes up intelligence and set It is standby.Hereby it is achieved that wake-up control is carried out to smart machine by way of waking up offline, and using server to voice signal It is identified and wake-up control is carried out to smart machine, reduce the consumption of hardware performance in wakeup process, and make it that user can To wake up smart machine using customized wake-up word, wake-up word is enriched, improves the flexibility of wake-up, can preferably be expired The individual demand of sufficient user, improve Consumer's Experience.
Third aspect present invention embodiment proposes a kind of smart machine Rouser, including:First acquisition module, is used for Obtain the voice signal that smart machine is sent;First determining module, for the voice signal to be identified, determine institute's predicate Recognition result corresponding to sound signal;First sending module, for it is determined that in the recognition result it is corresponding with the smart machine The matching degree of any wake-up word model when being more than threshold value, issue wake-up instruction to the smart machine.
The smart machine Rouser of the embodiment of the present invention, the voice signal that smart machine is sent is obtained first, it is then right Voice signal is identified, and determines recognition result corresponding to the voice signal, it is determined that the recognition result and the intelligence When any matching degree for waking up word model is more than threshold value corresponding to equipment, wake-up instruction is issued to the smart machine.Thus, lead to Cross and voice signal is identified using server and wake-up control is carried out to smart machine, reduce hardware in wakeup process The consumption of energy, and allow user to wake up smart machine using customized wake-up word, wake-up word is enriched, improves wake-up Flexibility, the individual demand of user can be better met, improve Consumer's Experience.
Fourth aspect present invention embodiment proposes a kind of smart machine Rouser, including:Second acquisition module, is used for The voice signal of acquisition is identified, obtains recognition result;Second sending module, for it is determined that the recognition result with it is pre- If the matching degree of N number of wake-up word model when being respectively less than threshold value, the voice signal is sent to server, so that the service The speech signal is identified device, and wherein N is the positive integer more than or equal to 1;Wake module, for get it is described During the wake-up instruction that server returns, smart machine is waken up.
The smart machine Rouser of the embodiment of the present invention, it is identified in the voice signal to acquisition, obtains identification knot After fruit, however, it is determined that recognition result is respectively less than threshold value with default N number of matching degree for waking up word model, then is sent to voice signal Server, so that voice signal is identified server, if getting the wake-up instruction of server return, wakes up intelligence and set It is standby.Hereby it is achieved that wake-up control is carried out to smart machine by way of waking up offline, and using server to voice signal It is identified and wake-up control is carried out to smart machine, reduce the consumption of hardware performance in wakeup process, and make it that user can To wake up smart machine using customized wake-up word, wake-up word is enriched, improves the flexibility of wake-up, can preferably be expired The individual demand of sufficient user, improve Consumer's Experience.
Fifth aspect present invention embodiment proposes a kind of server, including:
Memory, processor and the computer program that can be run on the memory and on the processor is stored in, Smart machine awakening method as described in relation to the first aspect is realized during the computing device described program.
Sixth aspect present invention embodiment proposes a kind of smart machine, including:
Memory, processor and the computer program that can be run on the memory and on the processor is stored in, The smart machine awakening method as described in second aspect is realized during the computing device described program.
Seventh aspect present invention embodiment proposes a kind of computer-readable recording medium, is stored thereon with computer journey Sequence, smart machine awakening method as described in relation to the first aspect is realized when the program is executed by processor.
Eighth aspect present invention embodiment proposes a kind of computer-readable recording medium, is stored thereon with computer journey Sequence, the smart machine awakening method as described in second aspect is realized when the program is executed by processor.
The additional aspect of the present invention and advantage will be set forth in part in the description, and will partly become from the following description Obtain substantially, or recognized by the practice of the present invention.
Brief description of the drawings
Of the invention above-mentioned and/or additional aspect and advantage will become from the following description of the accompanying drawings of embodiments Substantially and it is readily appreciated that, wherein:
Fig. 1 is the flow chart of the smart machine awakening method of one embodiment of the invention;
Fig. 2 is the flow chart of the smart machine awakening method of another embodiment of the present invention;
Fig. 3 is the signaling interaction diagram of the smart machine awakening method of one embodiment of the invention;
Fig. 4 is the structural representation of the smart machine Rouser of one embodiment of the invention;
Fig. 5 is the structural representation of the smart machine Rouser of another embodiment of the present invention.
Embodiment
Embodiments of the invention are described below in detail, the example of the embodiment is shown in the drawings, wherein from beginning to end Same or similar label represents same or similar element or the element with same or like function.Below with reference to attached The embodiment of figure description is exemplary, it is intended to for explaining the present invention, and is not considered as limiting the invention.
Various embodiments of the present invention are directed to prior art, when being waken up to smart machine, what generally use woke up offline Mode, using single fixed wake-up word set in advance or several wake-up words of fixation, smart machine is waken up, it is this Wake-up mode, wake-up word is single, renewal is dumb, it is impossible to meets the individual demand of user, and wakeup process may consume More hardware performance, the problem of poor user experience, propose a kind of smart machine awakening method.
The voice signal of acquisition can be sent to by smart machine awakening method provided in an embodiment of the present invention, smart machine Server is identified, so as to which server can be it is determined that recognition result any for waking up word model corresponding with smart machine When being more than threshold value with degree, wake-up instruction is issued to smart machine, to wake up smart machine.Thus, by using server to language Sound signal is identified and carries out wake-up control to smart machine, reduces the consumption of hardware performance in wakeup process, and cause User can utilize customized wake-up word to wake up smart machine, enrich wake-up word, improve the flexibility of wake-up, Ke Yigeng The good individual demand for meeting user, improve Consumer's Experience.
Below with reference to the accompanying drawings smart machine awakening method, device, server and the smart machine of the embodiment of the present invention are described.
First by taking server side as an example, smart machine awakening method provided in an embodiment of the present invention is described in detail.
Fig. 1 is the flow chart of the smart machine awakening method of one embodiment of the invention.
As shown in figure 1, the smart machine awakening method includes:
Step 101, the voice signal that smart machine is sent is obtained.
Wherein, smart machine awakening method provided in an embodiment of the present invention, can be by intelligence provided in an embodiment of the present invention Equipment Rouser performs.The smart machine Rouser, can be configured in the clothes being controlled to smart machines such as audio amplifiers It is engaged in device, to be waken up to smart machine.
Specifically, the voice-input devices such as microphone can be pre-set in smart machine, so as to pass through language in user When sound wakes up to smart machine, smart machine by voice-input device, can obtain the voice signal of user, then will Voice signal is sent to server.
Step 102, voice signal is identified, determines recognition result corresponding to voice signal.
Specifically, in the server or in configuration smart machine Rouser in the server voice can be set to know Other module, so as to which server is after the voice signal of smart machine transmission is got, sound identification module can be utilized, to obtaining Voice signal carry out speech recognition, to obtain recognition result corresponding to voice signal.
Step 103, it is determined that recognition result any matching degree for waking up word model corresponding with smart machine is more than threshold value When, issue wake-up instruction to smart machine.
Wherein, threshold value can be arranged as required to.For example fixed value can be set a threshold in advance, such as 80%, 90% Etc..Or it can be taken according to recognition result each match condition for waking up word model corresponding with smart machine, threshold value Value.Such as when it is determined that the matching degree of recognition result each wake-up word model corresponding with smart machine is higher, can be by threshold value It is arranged to higher value;, can when it is determined that the matching degree of recognition result each wake-up word model corresponding with smart machine is relatively low To set a threshold to relatively low value, etc..
It can be one or multiple it should be noted that waking up word model corresponding to smart machine, herein not It is restricted.In addition, each wake up the corresponding wake-up word of word model.
Specifically, word model can be waken up so that each wake-up word of training in advance smart machine is corresponding respectively, so as to server It is identified to voice signal, determines recognition result corresponding to voice signal, and determines characteristic vector corresponding to recognition result Afterwards, characteristic vector can be inputted to each wake up in word model corresponding with smart machine and carries out verification marking, to determine identification knot The matching degree of each wake-up word model of fruit and smart machine.If server determines any wake-up word of recognition result and smart machine The matching degree of model is more than threshold value, then it represents that and the voice signal that smart machine obtains includes waking up word corresponding to smart machine, Wake-up instruction can be then issued to smart machine, to wake up smart machine.
As an example it is assumed that predetermined threshold value is 90%, the corresponding 3 wake-ups word models of smart machine, respectively with " slowly " Corresponding wake-up word model A, wake-up word Model B corresponding with " day goblin ", wake-up word MODEL C corresponding with " small degree ".If service After the voice signal that device is sent to the smart machine of acquisition is identified, determine recognition result as " day goblin ", then can determine " my god Characteristic vector corresponding to goblin ", and characteristic vector is inputted respectively and waken up in word model A, B, C, to determine recognition result and intelligence The matching degree of each wake-up word model of equipment.Because " day goblin " and the matching degree of wake-up word Model B are more than threshold value 90%, then service Device can issue wake-up instruction to smart machine, to wake up smart machine.
Further, it is determined that recognition result any matching degree for waking up word model corresponding with smart machine is more than threshold value Before, it can also obtain and word model is waken up corresponding to smart machine.That is, before step 103, can also include:
The wake-up word of the smart machine of acquisition is trained, generates wake-up word model corresponding with smart machine.
Wherein, it can be Chinese, English or other any form of wake-up words to wake up word.Smart machine can correspond to one Or multiple wake-up words, each wake up word, corresponding wake-up word model.
Specifically, server by following various ways, can obtain the wake-up word of smart machine.
Mode one
The voice signal sent to smart machine parses, and determines to wake up word corresponding to smart machine.
Specifically, when user wishes to increase the wake-up word of smart machine, increase can be issued to smart machine by voice The instruction of word is waken up, or, when user uses smart machine for the first time, whether smart machine can also actively be reported to user and set The message of word is waken up, so as to which user can be sent including the newly-increased language for waking up word according to the instruction of smart machine to smart machine Sound.After smart machine gets the voice signal of user, you can voice signal is sent into server, so as to which server can be right The voice signal of acquisition is parsed, and determines to wake up word corresponding to smart machine.
It should be noted that in embodiments of the present invention, it is believed that it is same wake-up word that pronunciation identical, which wakes up word,.Than Such as, " slowly ", " mountain mountain ", " China fir China fir " be same wake-up word.
For example, the existing word that wakes up of smart machine be " small degree ", can be with when user wishes that increase wakes up word " it is bewitching " Smart machine is said by voice " small degree, I will increase name ".After smart machine gets the voice signal of user, Ke Yixiang User returns to " you want what name increased ", so as to user can say according to the instruction of smart machine to smart machine " my god Goblin ".After smart machine gets the voice signal for including newly-increased wake-up word of user, you can voice signal is sent into service Device, the voice signal of acquisition can be parsed so as to server, it is determined that wake up word for " day goblin " or with " day goblin " pronunciation phase Same wake-up word.
Or user is sent to smart machine when increasing the instruction for waking up word newly, newly-increased call out can also be included in instruction simultaneously Awake word, such as, " small degree, I will increase name ' day goblin ' ", it is not restricted herein.
It is understood that because the pronunciation of different terms there may be similar situation, such as " slowly " and " glittering ", " three or three ", then after server gets the voice signal of smart machine transmission, possibly it can not be parsed according to voice signal definitely Wake-up word.Now, server can send voice signal to smart machine, whether to confirm the wake-up word that parses to user Accurately.
For example the existing word that wakes up of smart machine is " small degree ", user wishes to increase the wake-up word " slowly " of smart machine When, smart machine can be said " small degree, I will increase name ' slowly ' ".After smart machine gets the voice signal of user, Voice signal can be sent to server, so as to which server can parse to the voice signal of acquisition.Due to " slowly " The pronunciations such as " glittering ", " three or three " are similar, then the wake-up word that server parses may be " slowly ", " glittering " or " three or three ". Now, server can send voice signal " you want increased name be ' slowly ' " to smart machine, and smart machine is reported After voice " you want increased name be ' slowly ' ", if getting the voice signal of user's return, user can be returned Voice signal be sent to server so that the voice signal that server returns according to user, determines to call out corresponding to smart machine Whether awake word is " slowly " or wakes up word with " slowly " pronunciation identical.
Mode two
The text message inputted in the page is set according to user in wake-up word corresponding with smart machine, determines smart machine Corresponding wake-up word.
Specifically, can pre-set wake-up word corresponding with smart machine sets the page, user, which needs to increase, wakes up word When, input increased wake-up word text can be needed in the ad-hoc location for waking up the word page, be called out so as to which server can obtain The text message that user inputs in the awake word page, and according to text message, determine to wake up word corresponding to smart machine.
It should be noted that waking up the example of word corresponding to above-mentioned determination smart machine, only schematically illustrate, it is impossible to make For the limitation to technical solution of the present invention, those skilled in the art on this basis, can arbitrarily set determination intelligence as needed The mode of word is waken up corresponding to energy equipment, this is not construed as limiting herein.
In addition, user need to waken up corresponding to smart machine word modify or delete etc. operate when, can also be to intelligence Energy equipment sends voice, or is operated in wake-up word corresponding with smart machine sets the page, so as to which server can lead to The voice signal for sending smart machine is crossed to parse, or the text envelope inputted according to user in the word setting page is waken up Breath, determine that user needs the wake-up word changed or deleted, to be updated to waking up word corresponding to smart machine.
Specifically, server is obtained after waking up word corresponding to smart machine, you can the wake-up to the smart machine of acquisition Word is trained, and generates wake-up word model corresponding with smart machine.
During specific implementation, server often obtains a wake-up word of smart machine, you can is called out based on the wake-up word, and with this The language material that awake word is phonetically alike, train wake-up word model corresponding with the wake-up word.
For example the wake-up word of smart machine that server obtains is " slowly ", then can utilize " slowly " and with " slowly " " three or three ", " glittering ", " dense " being phonetically alike ' etc. language material, training with " slowly " it is corresponding wake up word model.
It should be noted that in embodiments of the present invention, server determines corresponding with smart machine each in recognition result When the matching degree of wake-up word model is respectively less than threshold value, recognition result can also be parsed, judge recognition result and each wake-up The pronunciation similarity of word is waken up corresponding to word model, can be with if the pronunciation similarity that recognition result wakes up word with some is higher Using recognition result as the training corpus trained when word model is waken up corresponding to the wake-up word, to waking up word corresponding to the wake-up word Model is further trained, to improve the performance for waking up word model.
Specifically, smart machine awakening method provided in an embodiment of the present invention, is realized to user's by using server The identification of voice signal and the wake-up control to smart machine, reduce the consumption of hardware performance in wakeup process.And due to clothes Business device can obtain abundant resource, and word and abundant language material, training life are waken up so as to the smart machine based on acquisition Into wake-up word model of good performance, user is set to be waken up by customized wake-up word to smart machine.
Smart machine awakening method provided in an embodiment of the present invention, the voice signal that smart machine is sent is obtained first, so Voice signal is identified afterwards, determines recognition result corresponding to voice signal, it is determined that recognition result is corresponding with smart machine The matching degree of any wake-up word model when being more than threshold value, issue wake-up instruction to smart machine.Thus, by using server Voice signal is identified and wake-up control is carried out to smart machine, reduces the consumption of hardware performance in wakeup process, and Allow user to wake up smart machine using customized wake-up word, enrich wake-up word, improve the flexibility of wake-up, can To better meet the individual demand of user, improve Consumer's Experience.
Below by taking smart machine side as an example, smart machine awakening method provided in an embodiment of the present invention is carried out specifically It is bright.
Fig. 2 is the flow chart of the smart machine awakening method of one embodiment of the invention.
As shown in Fig. 2 the smart machine awakening method includes:
Step 201, the voice signal of acquisition is identified, obtains recognition result.
Wherein, smart machine awakening method provided in an embodiment of the present invention, can be by intelligence provided in an embodiment of the present invention Equipment Rouser performs.The smart machine Rouser, can be configured in the smart machines such as audio amplifier, mobile phone, computer, with Smart machine is waken up.
Specifically, the voice-input devices such as microphone can be pre-set in smart machine, so as to pass through language in user When sound wakes up to smart machine, smart machine by voice-input device, can obtain the voice signal of user.
Furthermore it is possible in the smart machine Rouser of smart machine or configuration in smart machine, voice is set to know Other module, after getting voice signal so as to smart machine, sound identification module can be utilized, the voice signal of acquisition is carried out Identification, to obtain recognition result corresponding to voice signal.
Step 202, when it is determined that recognition result is respectively less than threshold value with default N number of matching degree for waking up word model, by language Sound signal is sent to server, so that speech signal is identified server, wherein N is the positive integer more than or equal to 1.
Wherein, default N number of wake-up word model, can be that smart machine is pre-configured in smart machine when dispatching from the factory, It can also be that smart machine is respectively trained to obtain according to N number of wake-up word of acquisition, can also be that server gets intelligence and set After standby N number of wake-up word, it is respectively trained what is obtained, is not restricted herein.
Threshold value can be arranged as required to.For example fixed value can be set in advance as, such as 80%, 90%.Or Can be according to recognition result and default N number of match condition for waking up word model, the value of threshold value.Such as it is determined that knowing When other result and the higher matching degree of default N number of wake-up word model, higher value can be set a threshold to;It is determined that knowing When other result and the relatively low matching degree of default N number of wake-up word model, relatively low value, etc. can be set a threshold to.
It is understood that when default N number of wake-up word model is that server trains obtained wake-up word model, server It can also will wake up word model and be sent to smart machine.That is, before step 202, can also include:
The wake-up word model that the reception server is sent.
Step 203, if getting the wake-up instruction of server return, smart machine is waken up.
Specifically, after smart machine determines the recognition result of voice signal, it may be determined that feature corresponding to recognition result to Amount, and characteristic vector corresponding to recognition result is inputted in default N number of wake-up word model respectively and carries out verification marking, to determine The matching degree of recognition result and N number of wake-up word model.If smart machine determines the matching degree of recognition result and N number of wake-up word model Respectively less than threshold value, then it represents that according to default N number of wake-up word model in smart machine, it is determined that not including in the voice signal obtained Word is waken up corresponding to smart machine.Because the resource that smart machine obtains is less, therefore voice signal can be sent to service Device, so that voice signal is identified server.Each word mould is waken up by recognition result is corresponding with smart machine in server Type is matched, and determines that recognition result any matching degree for waking up word model corresponding with smart machine is more than threshold value, and to intelligence After energy equipment returns to wake-up instruction, smart machine can instruct according to the wake-up got, wake-up smart machine.
It is understood that if characteristic vector corresponding to recognition result is inputted default N number of wake-up by smart machine respectively After carrying out verification marking in word model, determine that the matching degree of recognition result and a certain wake-up word model in N number of wake-up word model is big In threshold value, then it represents that the voice signal that smart machine obtains includes waking up word corresponding to smart machine, so as to directly call out Awake smart machine.
It should be noted that after smart machine gets voice signal, voice signal can also be sent to server, from And smart machine voice signal can be identified with server simultaneously, and respectively call out recognition result is corresponding with smart machine Word model of waking up is matched, with according to matching result, it is determined whether smart machine is waken up.Or smart machine obtains To after voice signal, voice signal can not also be identified, but voice signal identification is carried out by server, and will identification As a result each word model that wakes up corresponding with smart machine is matched, with according to matching result, it is determined whether smart machine is entered Row wakes up.
The smart machine awakening method of the embodiment of the present invention, it is identified in the voice signal to acquisition, obtains identification knot After fruit, however, it is determined that recognition result is respectively less than threshold value with default N number of matching degree for waking up word model, then is sent to voice signal Server, so that voice signal is identified server, if getting the wake-up instruction of server return, wakes up intelligence and set It is standby.Hereby it is achieved that wake-up control is carried out to smart machine by way of waking up offline, and using server to voice signal It is identified and wake-up control is carried out to smart machine, reduce the consumption of hardware performance in wakeup process, and make it that user can To wake up smart machine using customized wake-up word, wake-up word is enriched, improves the flexibility of wake-up, can preferably be expired The individual demand of sufficient user, improve Consumer's Experience.
Fig. 3 is the signaling interaction diagram of the smart machine awakening method of one embodiment of the invention.
As shown in figure 3, the smart machine awakening method has smart machine A and server B to perform, interaction is as follows:
Step 301, the voice signal of acquisition is identified A, obtains recognition result.
Step 302, A is when it is determined that recognition result is respectively less than threshold value with default N number of matching degree for waking up word model, by language Sound signal is sent to B.
Wherein, N is the positive integer more than or equal to 1.
Step 303, voice signal is identified B, determines recognition result corresponding to voice signal.
Step 304, B is when it is determined that recognition result any matching degree for waking up word model corresponding with A is more than threshold value, to A Issue wake-up instruction.
Step 305, after A gets the wake-up instruction of B returns, then A is waken up.
Specifically, after the voice signal of acquisition is identified smart machine, however, it is determined that recognition result N number of is called out with default The matching degree of awake word model is respectively less than threshold value, then voice signal can be sent into server.Server gets voice signal Afterwards, voice signal can be identified, determines recognition result corresponding to voice signal, however, it is determined that recognition result and smart machine Corresponding any matching degree for waking up word model is more than threshold value, then is sent to smart machine and wake up instruction.Smart machine is got After waking up instruction, you can wake up smart machine.
It is understood that after the voice signal of acquisition is identified smart machine, however, it is determined that recognition result is with presetting N number of wake-up word model in, some wake up word model matching degree be more than threshold value, then can directly wake up smart machine.
By above-mentioned interaction, the voice signal of acquisition can be identified offline for smart machine, and according to identification As a result with it is default wake-up word model matching degree, it is determined whether wake up smart machine.If it can not be waken up by offline mode Smart machine, then voice signal can be sent to server, voice signal is identified by server and to smart machine Carry out wake-up control.
Voice signal is identified by using server and wake-up control is carried out to smart machine, reduces and woke up The consumption of hardware performance in journey, and allow user to wake up smart machine using customized wake-up word, wake-up word is enriched, The flexibility of wake-up is improved, the individual demand of user can be better met, improves Consumer's Experience.
Fig. 4 is the structural representation of the smart machine Rouser of one embodiment of the invention.
As shown in figure 4, the smart machine Rouser, including:
First acquisition module 41, for obtaining the voice signal of smart machine transmission;
First determining module 42, for voice signal to be identified, determine recognition result corresponding to voice signal;
First sending module 43, for it is determined that in recognition result it is corresponding with smart machine it is any wake up word model When being more than threshold value with degree, wake-up instruction is issued to smart machine.
Specifically, the smart machine Rouser that the present embodiment provides, can perform the smart machine shown in Fig. 1 of the present invention Awakening method.The device can be configured in the server being controlled to audio amplifier etc., to be waken up to smart machine.
In a kind of possible way of realization, the device, it can also include:
Generation module, the wake-up word for the smart machine to acquisition are trained, and generation is corresponding with smart machine to call out Awake word model.
Second determining module, for being parsed to the voice signal that smart machine is sent, determine corresponding to smart machine Wake up word;
Or for setting the text message inputted in the page in wake-up word corresponding with smart machine according to user, really Determine to wake up word corresponding to smart machine.
It should be noted that the explanation of the foregoing smart machine awakening method embodiment to shown in Fig. 1 is also applied for The smart machine Rouser of the embodiment, here is omitted.
The smart machine Rouser of the embodiment of the present invention, the voice signal that smart machine is sent is obtained first, it is then right Voice signal is identified, and determines recognition result corresponding to voice signal, it is determined that corresponding with smart machine of recognition result When the matching degree of one wake-up word model is more than threshold value, wake-up instruction is issued to smart machine.Thus, by using server to language Sound signal is identified and carries out wake-up control to smart machine, reduces the consumption of hardware performance in wakeup process, and cause User can utilize customized wake-up word to wake up smart machine, enrich wake-up word, improve the flexibility of wake-up, Ke Yigeng The good individual demand for meeting user, improve Consumer's Experience.
Fig. 5 is the structural representation of the smart machine Rouser of another embodiment of the present invention.
As shown in figure 5, the smart machine Rouser, including:
Second acquisition module 51, for the voice signal of acquisition to be identified, obtain recognition result;
Second sending module 52, for it is determined that recognition result is respectively less than with default N number of matching degree for waking up word model During threshold value, voice signal is sent to server, so that speech signal is identified server, wherein N is more than or equal to 1 Positive integer;
Wake module 53, for when getting the wake-up instruction of server return, waking up smart machine.
Specifically, the smart machine Rouser that the present embodiment provides, can perform the smart machine shown in Fig. 2 of the present invention Awakening method.The device can be configured in the smart machines such as audio amplifier, mobile phone, computer, to be waken up to smart machine.
It should be noted that the explanation of the foregoing smart machine awakening method embodiment to shown in Fig. 2 is also applied for The smart machine Rouser of the embodiment, here is omitted.
The smart machine Rouser of the embodiment of the present invention, it is identified in the voice signal to acquisition, obtains identification knot After fruit, however, it is determined that recognition result is respectively less than threshold value with default N number of matching degree for waking up word model, then is sent to voice signal Server, so that voice signal is identified server, if getting the wake-up instruction of server return, wakes up intelligence and set It is standby.Hereby it is achieved that wake-up control is carried out to smart machine by way of waking up offline, and using server to voice signal It is identified and wake-up control is carried out to smart machine, reduce the consumption of hardware performance in wakeup process, and make it that user can To wake up smart machine using customized wake-up word, wake-up word is enriched, improves the flexibility of wake-up, can preferably be expired The individual demand of sufficient user, improve Consumer's Experience.
The invention also provides a kind of server, including:
Memory, processor and storage on a memory and the computer program that can run on a processor, the processing Device realizes the smart machine awakening method as described in first aspect embodiment when performing described program.
The invention also provides a kind of smart machine, including:
Memory, processor and storage on a memory and the computer program that can run on a processor, the processing Device realizes the smart machine awakening method as described in second aspect embodiment when performing described program.
The invention also provides a kind of computer-readable recording medium, computer program is stored thereon with, when the program quilt Realized during computing device such as the smart machine awakening method in aforementioned first aspect embodiment.
The invention also provides a kind of computer-readable recording medium, computer program is stored thereon with, when the program quilt Realized during computing device such as the smart machine awakening method in foregoing second aspect embodiment.
The invention also provides a kind of computer program product, when the instruction in the computer program product is by processor During execution, perform such as the smart machine awakening method in aforementioned first aspect embodiment.
The invention also provides a kind of computer program product, when the instruction in the computer program product is by processor During execution, perform such as the smart machine awakening method in foregoing second aspect embodiment.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show The description of example " or " some examples " etc. means specific features, structure, material or the spy for combining the embodiment or example description Point is contained at least one embodiment or example of the present invention.In this manual, to the schematic representation of above-mentioned term not Identical embodiment or example must be directed to.Moreover, specific features, structure, material or the feature of description can be with office Combined in an appropriate manner in one or more embodiments or example.In addition, in the case of not conflicting, the skill of this area Art personnel can be tied the different embodiments or example and the feature of different embodiments or example described in this specification Close and combine.
In addition, term " first ", " second " are only used for describing purpose, and it is not intended that instruction or hint relative importance Or the implicit quantity for indicating indicated technical characteristic.Thus, define " first ", the feature of " second " can be expressed or Implicitly include at least one this feature.In the description of the invention, " multiple " are meant that at least two, such as two, three It is individual etc., unless otherwise specifically defined.
Any process or method described otherwise above description in flow chart or herein is construed as, and represents to include Module, fragment or the portion of the code of the executable instruction of one or more the step of being used to realize custom logic function or process Point, and the scope of the preferred embodiment of the present invention includes other realization, wherein can not press shown or discuss suitable Sequence, including according to involved function by it is basic simultaneously in the way of or in the opposite order, carry out perform function, this should be of the invention Embodiment person of ordinary skill in the field understood.
Expression or logic and/or step described otherwise above herein in flow charts, for example, being considered use In the order list for the executable instruction for realizing logic function, may be embodied in any computer-readable medium, for Instruction execution system, device or equipment (such as computer based system including the system of processor or other can be held from instruction The system of row system, device or equipment instruction fetch and execute instruction) use, or combine these instruction execution systems, device or set It is standby and use.For the purpose of this specification, " computer-readable medium " can any can be included, store, communicate, propagate or pass Defeated program is for instruction execution system, device or equipment or the dress used with reference to these instruction execution systems, device or equipment Put.The more specifically example (non-exhaustive list) of computer-readable medium includes following:Electricity with one or more wiring Connecting portion (electronic installation), portable computer diskette box (magnetic device), random access memory (RAM), read-only storage (ROM), erasable edit read-only storage (EPROM or flash memory), fiber device, and portable optic disk is read-only deposits Reservoir (CDROM).In addition, computer-readable medium, which can even is that, to print the paper of described program thereon or other are suitable Medium, because can then enter edlin, interpretation or if necessary with it for example by carrying out optical scanner to paper or other media His suitable method is handled electronically to obtain described program, is then stored in computer storage.
It should be appreciated that each several part of the present invention can be realized with hardware, software, firmware or combinations thereof.Above-mentioned In embodiment, software that multiple steps or method can be performed in memory and by suitable instruction execution system with storage Or firmware is realized.If, and in another embodiment, can be with well known in the art for example, realized with hardware Any one of row technology or their combination are realized:With the logic gates for realizing logic function to data-signal Discrete logic, have suitable combinational logic gate circuit application specific integrated circuit, programmable gate array (PGA), scene Programmable gate array (FPGA) etc..
Those skilled in the art are appreciated that to realize all or part of step that above-described embodiment method carries Suddenly it is that by program the hardware of correlation can be instructed to complete, described program can be stored in a kind of computer-readable storage medium In matter, the program upon execution, including one or a combination set of the step of embodiment of the method.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing module, can also That unit is individually physically present, can also two or more units be integrated in a module.Above-mentioned integrated mould Block can both be realized in the form of hardware, can also be realized in the form of software function module.The integrated module is such as Fruit is realized in the form of software function module and as independent production marketing or in use, can also be stored in a computer In read/write memory medium.
Storage medium mentioned above can be read-only storage, disk or CD etc..Although have been shown and retouch above Embodiments of the invention are stated, it is to be understood that above-described embodiment is exemplary, it is impossible to be interpreted as the limit to the present invention System, one of ordinary skill in the art can be changed to above-described embodiment, change, replace and become within the scope of the invention Type.

Claims (14)

  1. A kind of 1. smart machine awakening method, it is characterised in that including:
    Obtain the voice signal that smart machine is sent;
    The voice signal is identified, determines recognition result corresponding to the voice signal;
    When it is determined that the recognition result any matching degree for waking up word model corresponding with the smart machine is more than threshold value, to The smart machine issues wake-up instruction.
  2. 2. the method as described in claim 1, it is characterised in that it is described determine in the recognition result with the smart machine pair The matching degree for any wake-up word model answered is more than before threshold value, in addition to:
    The wake-up word of the smart machine of acquisition is trained, generates wake-up word model corresponding with the smart machine.
  3. 3. method as claimed in claim 2, it is characterised in that the wake-up word of the smart machine of described pair of acquisition is instructed Before white silk, in addition to:
    The voice signal sent to the smart machine parses, and determines to wake up word corresponding to the smart machine;
    Or the text message inputted in the page is set according to user in wake-up word corresponding with the smart machine, determine institute State and word is waken up corresponding to smart machine.
  4. A kind of 4. smart machine awakening method, it is characterised in that including:
    The voice signal of acquisition is identified, obtains recognition result;
    When it is determined that the recognition result is respectively less than threshold value with default N number of matching degree for waking up word model, the voice is believed Number server is sent to, so that the speech signal is identified the server, wherein N is just whole more than or equal to 1 Number;
    If getting the wake-up instruction that the server returns, smart machine is waken up.
  5. 5. method as claimed in claim 4, it is characterised in that described to determine the recognition result and default wake-up word model Matching degree be less than threshold value before, in addition to:
    Receive the wake-up word model that the server is sent.
  6. A kind of 6. smart machine Rouser, it is characterised in that including:
    First acquisition module, for obtaining the voice signal of smart machine transmission;
    First determining module, for the voice signal to be identified, determine recognition result corresponding to the voice signal;
    First sending module, for it is determined that corresponding with the smart machine in the recognition result any wake up word model When matching degree is more than threshold value, wake-up instruction is issued to the smart machine.
  7. 7. device as claimed in claim 6, it is characterised in that also include:
    Generation module, the wake-up word for the smart machine to acquisition are trained, and generation is corresponding with the smart machine Wake-up word model.
  8. 8. device as claimed in claim 7, it is characterised in that also include:
    Second determining module, the voice signal for being sent to the smart machine parse, and determine the smart machine pair The wake-up word answered;
    Or for setting the text message inputted in the page in wake-up word corresponding with the smart machine according to user, really Word is waken up corresponding to the fixed smart machine.
  9. A kind of 9. smart machine Rouser, it is characterised in that including:
    Second acquisition module, for the voice signal of acquisition to be identified, obtain recognition result;
    Second sending module, for it is determined that the recognition result is respectively less than threshold with default N number of matching degree for waking up word model During value, the voice signal is sent to server, so that the speech signal is identified the server, wherein N is Positive integer more than or equal to 1;
    Wake module, for when getting the wake-up instruction that the server returns, waking up smart machine.
  10. 10. device as claimed in claim 9, it is characterised in that also include:
    Receiving module, the wake-up word model sent for receiving the server.
  11. 11. a kind of server, including:
    Memory, processor and the computer program that can be run on the memory and on the processor is stored in, it is special Sign is, the smart machine awakening method as described in any in claim 1-3 is realized during the computing device described program.
  12. 12. a kind of smart machine, including:
    Memory, processor and the computer program that can be run on the memory and on the processor is stored in, it is special Sign is, the smart machine awakening method as described in any in claim 4-5 is realized during the computing device described program.
  13. 13. a kind of computer-readable recording medium, is stored thereon with computer program, it is characterised in that described program is processed The smart machine awakening method as described in any in claim 1-3 is realized when device performs.
  14. 14. a kind of computer-readable recording medium, is stored thereon with computer program, it is characterised in that described program is processed The smart machine awakening method as described in any in claim 4-5 is realized when device performs.
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