CN110232919A - Real-time voice stream extracts and speech recognition system and method - Google Patents
Real-time voice stream extracts and speech recognition system and method Download PDFInfo
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- CN110232919A CN110232919A CN201910533135.7A CN201910533135A CN110232919A CN 110232919 A CN110232919 A CN 110232919A CN 201910533135 A CN201910533135 A CN 201910533135A CN 110232919 A CN110232919 A CN 110232919A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input 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
- G06F3/16—Sound input; Sound output
- G06F3/162—Interface to dedicated audio devices, e.g. audio drivers, interface to CODECs
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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
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
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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
- G10L19/00—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis
- G10L19/04—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis using predictive techniques
- G10L19/16—Vocoder architecture
- G10L19/173—Transcoding, i.e. converting between two coded representations avoiding cascaded coding-decoding
Abstract
The embodiment of the invention discloses a kind of extractions of voice flow and speech recognition system and method, and the system comprises audio collection devices and automatic speech recognition module；Audio collection device is connected with automatic speech recognition module；Audio collection device is placed on the first data line and the second data line, wherein the first data line connection verbal system and microphone, the second data line connect verbal system and loudspeaker；For audio collection device for acquiring the first audio that microphone is sent to verbal system, audio collection device is also used to acquire the second audio that verbal system is sent to loudspeaker；First audio and the second audio are sent to automatic speech recognition module by audio collection device；After automatic speech recognition module carries out speech recognition to the first audio and the second audio, recognition result is sent to user terminal and is shown.The embodiment of the present invention, which has the advantages that, to economize on resources, and system docking is easy to operate, and ASR identification engine can be used at any time.
Description
Technical field
The present embodiments relate to artificial intelligence and big data analysis technical fields, and in particular to a kind of real-time voice stream mentions
It takes and speech recognition system and method.
Background technique
Automatic speech recognition technology (ASR, Automatic Speech Recognition) is a kind of voice by people turn
It is changed to the technology of text.Speech recognition is the field of a multi-crossed disciplines, it and acoustics, phonetics, linguistics, digital signal
Numerous subjects such as treatment theory, information theory, computer science are closely coupled.Due to the diversity and complexity of voice signal, language
Sound identifying system can only obtain satisfied performance under certain restrictive condition, can be only applied to certain specific fields in other words
It closes.The performance of speech recognition system is approximately dependent on following 4 class factor: the size of 1. identification vocabularies and the complexity of voice；
2. the quality of voice signal；3. single speaker or more speakers；4. hardware.
Existing ASR speech recognition engine needs to configure on corresponding server, cumbersome in actually docking, takes
When it is laborious.
Summary of the invention
For this purpose, the embodiment of the present invention provide a kind of real-time voice stream extract with speech recognition system and method, it is existing to solve
Have in technology due to ASR speech recognition engine need to configure it is cumbersome caused by corresponding server, it is time-consuming and laborious
The problem of.
To achieve the goals above, the embodiment of the present invention provides the following technical solutions:
The embodiment of the present invention provides a kind of voice flow and extracts and speech recognition system, including audio collection device and automatic speech
Identification module；
Audio collection device is connected with automatic speech recognition module；
Audio collection device is placed on the first data line and the second data line, wherein the first data line connection verbal system and wheat
Gram wind, the second data line connect verbal system and loudspeaker；
For acquiring the first audio that microphone is sent to verbal system, audio collection device is also used to acquire audio collection device
Verbal system is sent to the second audio of loudspeaker；
First audio and the second audio are sent to automatic speech recognition module by audio collection device；
After automatic speech recognition module carries out speech recognition to the first audio and the second audio, recognition result is sent to use
Family terminal is shown, and speech recognition engine technical software is wherein embedded in automatic speech recognition module.
Further, audio is not generated on the first data line and/or the second data line, then audio collection device does not acquire sound
Frequently；
First data line and/or the second data line generate audio, then start to acquire the first audio and/or the second audio.
Further, collected first audio and the second audio transcoding are 8kHz sample rate, 16bit by audio collection device
The audio data of sampling depth, WAV format, and the audio data after transcoding is sent to automatic speech recognition module.
Further, recognition result is sent to back end interface by automatic speech recognition module；The knowledge that back end interface will receive
Other result is sent to user terminal and is shown.
It further, further include display terminal, for being shown to recognition result.
Further, verbal system is following at least one: fixed line base, mobile phone, computer and tablet computer.
Further, microphone is earphone microphone；Correspondingly, loudspeaker is earpiece speaker.
The embodiment of the present invention provides a kind of voice flow and extracts and audio recognition method, comprising the following steps:
Acquisition microphone is sent to the first audio of verbal system；
Acquisition verbal system is sent to the second audio of loudspeaker；
First audio and the second audio are sent to automatic speech recognition module；
After automatic speech recognition module carries out speech recognition to the first audio and the second audio, recognition result is sent to use
Family terminal is shown.
The embodiment of the present invention provides a kind of electronic equipment, including memory, processor and storage are on a memory and can be
The computer program run on processor, the processor realize above-mentioned voice flow extraction and speech recognition when executing described program
The step of method.
The embodiment of the present invention provides a kind of non-transient computer readable storage medium, is stored thereon with computer program,
It is characterized in that, which realizes that above-mentioned voice flow extracts and the step of audio recognition method when being executed by processor.
The embodiment of the present invention provide a kind of voice flow extract with speech recognition system and method, the system comprises audios to adopt
Storage and automatic speech recognition module；Audio collection device is connected with automatic speech recognition module；Audio collection device is placed in the first number
According on line and the second data line, wherein the first data line connects verbal system and microphone, the second data line connects verbal system
And loudspeaker；For acquiring the first audio that microphone is sent to verbal system, audio collection device is also used to adopt audio collection device
Collection verbal system is sent to the second audio of loudspeaker；First audio and the second audio are sent to automatic speech by audio collection device
Identification module；After automatic speech recognition module carries out speech recognition to the first audio and the second audio, recognition result is sent to
User terminal is shown.
The embodiment of the present invention has the advantages that speech recognition engine (ASR) and the installation of specific earphone integrated preposition, nothing
Speech recognition engine (ASR) private server need to be configured.It economizes on resources；System docking is easy to operate, and ASR identification engine at any time may be used
With.
Detailed description of the invention
It, below will be to embodiment party in order to illustrate more clearly of embodiments of the present invention or technical solution in the prior art
Formula or attached drawing needed to be used in the description of the prior art are briefly described.It should be evident that the accompanying drawings in the following description is only
It is merely exemplary, it for those of ordinary skill in the art, without creative efforts, can also basis
The attached drawing of offer, which is extended, obtains other implementation attached drawings.
Structure depicted in this specification, ratio, size etc., only to cooperate the revealed content of specification, for
Those skilled in the art understands and reads, and is not intended to limit the invention enforceable qualifications, therefore does not have technical
Essential meaning, the modification of any structure, the change of proportionate relationship or the adjustment of size are not influencing the function of the invention that can be generated
Under effect and the purpose that can reach, should all still it fall in the range of disclosed technology contents obtain and can cover.
Fig. 1 is that a kind of voice flow provided in an embodiment of the present invention extracts and speech recognition system overall structure diagram；
Fig. 2 is that a kind of voice flow extraction provided in an embodiment of the present invention is shown with speech recognition system sound intermediate frequency connecting wire structure
It is intended to；
Fig. 3 is that a kind of voice flow provided in an embodiment of the present invention extracts and audio recognition method overall flow schematic diagram；
Fig. 4 is a kind of electronic equipment structural schematic diagram provided in an embodiment of the present invention.
Specific embodiment
Embodiments of the present invention are illustrated by particular specific embodiment below, those skilled in the art can be by this explanation
Content disclosed by book is understood other advantages and efficacy of the present invention easily, it is clear that described embodiment is the present invention one
Section Example, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not doing
Every other embodiment obtained under the premise of creative work out, shall fall within the protection scope of the present invention.
To solve at least one technical problem in the prior art, the embodiment of the present invention provides a kind of voice flow and extracts and language
Sound identifying system.As shown in Figure 1, it includes that audio collection device 11 and automatic speech are known that the voice flow, which is extracted with speech recognition system,
Other module；
Audio collection device 11 is connected with automatic speech recognition module；
Audio collection device 11 is placed on the first data line and the second data line, wherein the first data line connection verbal system and
Microphone, the second data line connect verbal system and loudspeaker；
For acquiring the first audio that microphone is sent to verbal system, audio collection device 11 is also used to audio collection device 11
Acquisition verbal system is sent to the second audio of loudspeaker；
First audio and the second audio are sent to automatic speech recognition module by audio collection device 11；
After automatic speech recognition module 12 carries out speech recognition to the first audio and the second audio, recognition result is sent to
User terminal is shown, and speech recognition engine technical software is wherein embedded in automatic speech recognition module.
Automatic speech recognition module is the hardware module of internal burning speech recognition engine technical software in the prior art, is used
It is identified in carrying out voice to the first audio and the second audio, text information corresponding to output language.
Wherein, it should be noted that as shown in Fig. 2, this implementation data wire part is divided into special 3.5mm data line.It is special
There are two 3.5mm plug (P1, P2) and a 3.5mm sockets (P3) for 3.5mm data line.Wherein P1 connection computer, phone etc. are set
It is standby, P2 connection audio collection device, P3 connection earphone.
It should be noted that then audio collection device is not adopted without generating audio on the first data line and/or the second data line
Collect audio；First data line and/or the second data line generate audio, then start to acquire the first audio and/or the second audio.
Further, collected first audio and the second audio transcoding are that 8kHz sample rate, 16bit are adopted by audio collection device
The audio data of sample depth, WAV format, and the audio data after transcoding is sent to automatic speech recognition module.
Also further, recognition result is sent to back end interface by automatic speech recognition module；The knowledge that back end interface will receive
Other result is sent to user terminal and is shown.
Further, the system also includes display terminals, for being shown to recognition result.
Further, verbal system is following at least one: fixed line base, mobile phone, computer and tablet computer.
Further, microphone is earphone microphone；Correspondingly, loudspeaker is earpiece speaker.
The embodiment of the present invention provides a kind of voice flow and extracts and speech recognition system, the system comprises audio collection device and
Automatic speech recognition module；Audio collection device is connected with automatic speech recognition module；Audio collection device be placed in the first data line and
On second data line, wherein the first data line connection verbal system and microphone, the second data line connect verbal system and loudspeaking
Device；For audio collection device for acquiring the first audio that microphone is sent to verbal system, audio collection device is also used to acquire call
Equipment is sent to the second audio of loudspeaker；First audio and the second audio are sent to automatic speech recognition mould by audio collection device
Block；After automatic speech recognition module carries out speech recognition to the first audio and the second audio, recognition result is sent to user's end
End is shown.The embodiment of the present invention has the advantages that speech recognition engine (ASR) and specific earphone integrated preposition peace
Dress, without configuring speech recognition engine (ASR) private server.It economizes on resources；System docking is easy to operate, and ASR identifies engine
It can be used at any time.
On the basis of the above embodiment of the present invention, a kind of voice flow is provided and is extracted and speech recognition system, the first data
Without generating audio on line and/or the second data line, then audio collection device does not acquire audio；
First data line and/or the second data line generate audio, then start to acquire the first audio and/or the second audio.
The embodiment of the present invention has the advantages that speech recognition engine (ASR) and the installation of specific earphone integrated preposition, nothing
Speech recognition engine (ASR) private server need to be configured.It economizes on resources；System docking is easy to operate, and ASR identification engine at any time may be used
With.
On the basis of the above embodiment of the present invention, a kind of voice flow is provided and is extracted and speech recognition system, audio collection
Device by collected first audio and the second audio transcoding be 8kHz sample rate, 16bit sampling depth, WAV format audio number
According to, and the audio data after transcoding is sent to automatic speech recognition module.
The embodiment of the present invention provides a kind of voice flow and extracts and speech recognition system, the system comprises audio collection device and
Automatic speech recognition module；Audio collection device is connected with automatic speech recognition module；Audio collection device be placed in the first data line and
On second data line, wherein the first data line connection verbal system and microphone, the second data line connect verbal system and loudspeaking
Device；For audio collection device for acquiring the first audio that microphone is sent to verbal system, audio collection device is also used to acquire call
Equipment is sent to the second audio of loudspeaker；First audio and the second audio are sent to automatic speech recognition mould by audio collection device
Block；After automatic speech recognition module carries out speech recognition to the first audio and the second audio, recognition result is sent to user's end
End is shown.The embodiment of the present invention has the advantages that speech recognition engine (ASR) and specific earphone integrated preposition peace
Dress, without configuring speech recognition engine (ASR) private server.It economizes on resources；System docking is easy to operate, and ASR identifies engine
It can be used at any time.
On the basis of the above embodiment of the present invention, a kind of voice flow is provided and is extracted and speech recognition system, automatic speech
Recognition result is sent to back end interface by identification module；The recognition result received is sent to user terminal and opened up by back end interface
Show.
The embodiment of the present invention has the advantages that speech recognition engine (ASR) and the installation of specific earphone integrated preposition, nothing
Speech recognition engine (ASR) private server need to be configured.It economizes on resources；System docking is easy to operate, and ASR identification engine at any time may be used
With.
On the basis of the above embodiment of the present invention, a kind of voice flow is provided and is extracted and speech recognition system, the system
It further include display terminal, for being shown to recognition result.
On the basis of the above embodiment of the present invention, a kind of voice flow is provided and is extracted and speech recognition system, verbal system
For following at least one: fixed line base, mobile phone, computer and tablet computer.
On the basis of the above embodiment of the present invention, provide that a kind of voice flow extracts and speech recognition system, microphone are
Earphone microphone；Correspondingly, loudspeaker is earpiece speaker.
To solve at least one technical problem in the prior art, as shown in Figure 1, the embodiment of the present invention provides a kind of voice
Stream extracts and audio recognition method, comprising the following steps:
Step S1, acquisition microphone are sent to the first audio of verbal system.
Step S1 ', acquisition verbal system are sent to the second audio of loudspeaker.
First audio and the second audio are sent to automatic speech recognition module by step S2.
Step S3, after automatic speech recognition module carries out speech recognition to the first audio and the second audio, by recognition result
User terminal is sent to be shown.
The embodiment of the present invention provides a kind of voice flow and extracts and audio recognition method, which comprises acquisition microphone
It is sent to the first audio of verbal system；Acquisition verbal system is sent to the second audio of loudspeaker；By the first audio and second
Audio is sent to automatic speech recognition module；Automatic speech recognition module carries out speech recognition to the first audio and the second audio
Afterwards, recognition result user terminal is sent to be shown.The embodiment of the present invention has the advantages that speech recognition engine
(ASR) it is installed with specific earphone integrated preposition, without configuring speech recognition engine (ASR) private server.It economizes on resources；System
Docking operation of uniting is easy, and ASR identification engine can be used at any time.
Fig. 4 illustrates the entity structure schematic diagram of a kind of electronic equipment, as shown in figure 4, the electronic equipment may include: place
Manage device (processor) 410, communication interface (Communications Interface) 420,430 He of memory (memory)
Communication bus 440, wherein processor 410, communication interface 420, memory 430 complete mutual lead to by communication bus 440
Letter.Processor 410 can call the logical order in memory 430, to execute following method: acquisition microphone is sent to call
First audio of equipment；Acquisition verbal system is sent to the second audio of loudspeaker；First audio and the second audio are sent to
Automatic speech recognition module；After automatic speech recognition module carries out speech recognition to the first audio and the second audio, identification is tied
Fruit is sent to user terminal and is shown.
In addition, the logical order in above-mentioned memory 430 can be realized by way of SFU software functional unit and conduct
Independent product when selling or using, can store in a computer readable storage medium.Based on this understanding, originally
Substantially the part of the part that contributes to existing technology or the technical solution can be in other words for the technical solution of invention
The form of software product embodies, which is stored in a storage medium, including some instructions to
So that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation of the present invention
The all or part of the steps of example the method.And storage medium above-mentioned include: USB flash disk, mobile hard disk, read-only memory (ROM,
Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic or disk etc. it is various
It can store the medium of program code.
On the other hand, the embodiment of the present invention also provides a kind of non-transient computer readable storage medium, is stored thereon with meter
Calculation machine program, the computer program are implemented to carry out the transmission method of the various embodiments described above offer when being executed by processor, such as
It include: the first audio for acquiring microphone and being sent to verbal system；Acquisition verbal system is sent to the second audio of loudspeaker；It will
First audio and the second audio are sent to automatic speech recognition module；Automatic speech recognition module is to the first audio and the second audio
After carrying out speech recognition, recognition result is sent to user terminal and is shown.
The apparatus embodiments described above are merely exemplary, wherein described, unit can as illustrated by the separation member
It is physically separated with being or may not be, component shown as a unit may or may not be physics list
Member, it can it is in one place, or may be distributed over multiple network units.It can be selected according to the actual needs
In some or all of the modules achieve the purpose of the solution of this embodiment.Those of ordinary skill in the art are not paying creativeness
Labour in the case where, it can understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It realizes by means of software and necessary general hardware platform, naturally it is also possible to pass through hardware.Based on this understanding, on
Stating technical solution, substantially the part that contributes to existing technology can be embodied in the form of software products in other words, should
Computer software product may be stored in a computer readable storage medium, such as ROM/RAM, magnetic disk, CD, including several fingers
It enables and using so that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation
Method described in certain parts of example or embodiment.
Although above having used general explanation and specific embodiment, the present invention is described in detail, at this
On the basis of invention, it can be made some modifications or improvements, this will be apparent to those skilled in the art.Therefore,
These modifications or improvements without departing from theon the basis of the spirit of the present invention are fallen within the scope of the claimed invention.
Claims (10)
1. a kind of voice flow extracts and speech recognition system, which is characterized in that including audio collection device and automatic speech recognition mould
Block；
Audio collection device is connected with automatic speech recognition module；
Audio collection device is placed on the first data line and the second data line, wherein the first data line connection verbal system and Mike
Wind, the second data line connect verbal system and loudspeaker；
For audio collection device for acquiring the first audio that microphone is sent to verbal system, audio collection device is also used to acquire call
Equipment is sent to the second audio of loudspeaker；
First audio and the second audio are sent to automatic speech recognition module by audio collection device；
After automatic speech recognition module carries out speech recognition to the first audio and the second audio, recognition result is sent to user's end
End is shown, and speech recognition engine technical software is wherein embedded in automatic speech recognition module.
2. voice flow according to claim 1 extracts and speech recognition system, which is characterized in that the first data line and/or
Without generating audio on second data line, then audio collection device does not acquire audio；
First data line and/or the second data line generate audio, then start to acquire the first audio and/or the second audio.
3. voice flow according to claim 1 extracts and speech recognition system, which is characterized in that audio collection device will acquire
The first audio arrived and the second audio transcoding be 8kHz sample rate, 16bit sampling depth, WAV format audio data, and will turn
Audio data after code is sent to automatic speech recognition module.
4. voice flow according to claim 1 extracts and speech recognition system, which is characterized in that automatic speech recognition module
Recognition result is sent to back end interface；The recognition result received is sent to user terminal and is shown by back end interface.
5. voice flow according to claim 1 extracts and speech recognition system, which is characterized in that the system also includes aobvious
Show terminal, for being shown to recognition result.
6. voice flow according to claim 1 extracts and speech recognition system, which is characterized in that verbal system be with down toward
Few one kind: fixed line base, mobile phone, computer and tablet computer.
7. voice flow according to claim 1 extracts and speech recognition system, which is characterized in that microphone is headset Mike
Wind；Correspondingly, loudspeaker is earpiece speaker.
8. a kind of voice flow extracts and audio recognition method, which comprises the following steps:
Acquisition microphone is sent to the first audio of verbal system；
Acquisition verbal system is sent to the second audio of loudspeaker；
First audio and the second audio are sent to automatic speech recognition module；
After automatic speech recognition module carries out speech recognition to the first audio and the second audio, recognition result is sent to user's end
End is shown.
9. a kind of electronic equipment including memory, processor and stores the calculating that can be run on a memory and on a processor
Machine program, which is characterized in that the processor realizes voice flow extraction as claimed in claim 8 and voice when executing described program
The step of recognition methods.
10. a kind of non-transient computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer
The step of voice flow extraction as claimed in claim 8 and audio recognition method are realized when program is executed by processor.
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| CN206117764U (en) * | 2016-09-29 | 2017-04-19 | 深圳摩罗志远科技有限公司 | Supplementary controlgear that shoots |
| CN106601272A (en) * | 2016-11-24 | 2017-04-26 | 歌尔股份有限公司 | Earphone and speech recognition method thereof |
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| CN108509428A (en) * | 2018-02-26 | 2018-09-07 | 深圳市百泰实业股份有限公司 | Earphone interpretation method and system |
| CN108942926A (en) * | 2018-06-28 | 2018-12-07 | 达闼科技（北京）有限公司 | A kind of methods, devices and systems of human-computer interaction |
| CN109101212A (en) * | 2018-07-20 | 2018-12-28 | 上海斐讯数据通信技术有限公司 | A kind of playback method and system of intelligent sound box |
| CN109547632A (en) * | 2018-11-16 | 2019-03-29 | 三星电子（中国）研发中心 | Assisted call answer method, user terminal apparatus and server |
| CN109545216A (en) * | 2018-12-28 | 2019-03-29 | 合肥凯捷技术有限公司 | A kind of audio recognition method and speech recognition system |
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| CN110931004A (en) * | 2019-10-22 | 2020-03-27 | 北京智合大方科技有限公司 | Voice conversation analysis method and device based on docking technology |
| CN112216278A (en) * | 2020-09-25 | 2021-01-12 | 威盛电子股份有限公司 | Speech recognition system, instruction generation system and speech recognition method thereof |
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