CN109961785A - A kind of voice control optimization method - Google Patents
A kind of voice control optimization method Download PDFInfo
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- CN109961785A CN109961785A CN201711500015.4A CN201711500015A CN109961785A CN 109961785 A CN109961785 A CN 109961785A CN 201711500015 A CN201711500015 A CN 201711500015A CN 109961785 A CN109961785 A CN 109961785A
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- voice
- audio
- voice control
- signal
- optimization method
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- 238000000034 method Methods 0.000 title claims abstract description 15
- 238000005457 optimization Methods 0.000 title claims abstract description 13
- 230000005236 sound signal Effects 0.000 claims abstract description 13
- 238000001914 filtration Methods 0.000 claims description 12
- 238000010276 construction Methods 0.000 claims description 3
- 238000011946 reduction process Methods 0.000 claims description 3
- 238000006243 chemical reaction Methods 0.000 claims description 2
- 238000004891 communication Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 238000007493 shaping process Methods 0.000 description 2
- 230000008901 benefit Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 230000001755 vocal effect Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/20—Speech recognition techniques specially adapted for robustness in adverse environments, e.g. in noise, of stress induced speech
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L21/00—Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
- G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
- G10L21/0208—Noise filtering
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
- G10L2015/223—Execution procedure of a spoken command
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
- G10L2015/225—Feedback of the input speech
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- Engineering & Computer Science (AREA)
- Computational Linguistics (AREA)
- Health & Medical Sciences (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- Acoustics & Sound (AREA)
- Multimedia (AREA)
- Quality & Reliability (AREA)
- Signal Processing (AREA)
- Soundproofing, Sound Blocking, And Sound Damping (AREA)
Abstract
The present invention provides a kind of voice control optimization methods, the collected voice signal of audio signal reception device, which is handled, by speech recognition system (ASR) obtains command signal, the voice control to smart machine is realized according to described instruction signal, it include: preprocessed audio, generate digital audio, generate efficient voice instruction, play answer statement, the present invention is directed to the application scenarios of pleasant microphone, it is proposed series of optimum method, effectively inhibit noise contribution, to obtain purer voice data, then it is pushed to relevant back-end services module, to ensure the offer of high-quality service.
Description
Technical field
Voice control technology field of the present invention, in particular to a kind of voice control optimization method.
Background technique
It listens and says, be the essential attribute of communication possessed by people.Correspondingly, intelligent wearable device be also required to it is basic
Communication ability can be said, can also be listened.The listening and speaking ability of intelligent wearable device is passed by the acoustics of two kinds of input and output
Sensor is completed.The former, acquires sound by microphone input sensor;The latter is broadcast by loudspeaker output transducer
Sound reproduction sound.It in general will not only include a kind of simple sound by the collected sound of common microphone, but voice,
The mixture of musical sound and various ambient sounds (noise).And many service (voices provided by intelligent wearable device
Wake up, speech recognition, voice communication, music etc.) completion, often only depend on the vocal sections of mixed sound, and
It is the voice of equipment wearer, ambient sound in addition to this, the presence of the voice of non-wearer and other noise contributions, instead
It can hinder the normal operation of certain services.Therefore, intelligent wearable device needs an acoustics front end subsystem, to complete externally
The acquisition and relevant treatment of boundary's sound, provide effective audio data to the greatest extent, to guarantee the various function services moulds in rear end
The normal operation of block.
Summary of the invention
The present invention is directed to solve at least one of the technical problems existing in the prior art or related technologies.For this purpose, of the invention
A purpose be to propose a kind of voice control optimization method.
To achieve the above object, the present invention provides a kind of voice control optimization methods, pass through speech recognition system (ASR)
The processing collected voice signal of audio signal reception device obtains command signal, realizes the voice to smart machine according to described instruction signal
Control characterized by comprising
Preprocessed audio generates digital audio, generates efficient voice instruction, plays answer statement.
Preferably, the preprocessed audio refers to by receiving audio signal, enters institute's predicate in the audio signal
Before sound identifying system (ASR), acoustic filtering is carried out to the audio signal, obtains preprocessed audio;
In any of the above-described scheme preferably, the preprocessed audio is acquired by microphone, is filtered by analog circuit
Digital audio is generated by analog-to-digital conversion afterwards;
In any of the above-described scheme preferably, the digital audio generates effective language via speech recognition system (ASR)
Sound instruction;
In any of the above-described scheme preferably, it after terminal check receives efficient voice instruction, is controlled in current speech
Answer statement corresponding with efficient voice instruction, and the answer statement found described in broadcasting are searched in theme.
In any of the above-described scheme preferably, the acoustic filtering is by mechanical mechanism and/or acoustic construction to sky
Between domain voice signal carry out noise reduction process.
The beneficial effect that the present invention obtains is: completing to extract filtering/shaping/noise restraint of effective sound element
The voice and other noise contributions of the voice of wearer, filtering environmental noise and non-wearer, improve smart machine to voice
The discrimination of instruction.
Additional aspect and advantage of the invention will be set forth in part in the description, and will partially become from the following description
Obviously, or practice through the invention is recognized.
Specific embodiment
In the following description, numerous specific details are set forth in order to facilitate a full understanding of the present invention, still, the present invention may be used also
To be implemented using other than the one described here other modes, therefore, protection scope of the present invention is not by described below
Specific embodiment limitation.
A kind of voice control optimization method handles the collected sound of audio signal reception device by speech recognition system (ASR) and believes
Number command signal is obtained, the voice control to smart machine is realized according to described instruction signal characterized by comprising
Preprocessed audio generates digital audio, generates efficient voice instruction, plays answer statement.
In the present embodiment, the preprocessed audio refers to by receiving audio signal, enters institute in the audio signal
Before stating speech recognition system (ASR), acoustic filtering is carried out to the audio signal, obtains preprocessed audio;
In the present embodiment, the preprocessed audio is acquired by microphone, is turned after analog circuit filters by modulus
Change generation digital audio;
In the present embodiment, the digital audio generates efficient voice instruction via speech recognition system (ASR);
In the present embodiment, terminal check receive efficient voice instruction after, current speech control theme in search with
The efficient voice instructs corresponding answer statement, and the answer statement found described in broadcasting.
In the present embodiment, the acoustic filtering is to be believed by mechanical mechanism and/or acoustic construction the sound of spatial domain
Number carry out noise reduction process.
The beneficial effect that the present invention obtains is: completing to extract filtering/shaping/noise restraint of effective sound element
The voice and other noise contributions of the voice of wearer, filtering environmental noise and non-wearer, improve smart machine to voice
The discrimination of instruction.
Again through mould after being pre-processed by acoustic filtering to collected acoustic signals according to above-described embodiment present invention
Quasi- circuit and/or digital circuit carry out subsequent filtering processing, are effectively inhibited to collected noise contribution, pass through ASR/
NLP system substantially increases the accuracy of speech recognition to effective phonetic order is identified in more pure voice signal,
To ensure the offer of high-quality service.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any to repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (6)
1. a kind of voice control optimization method handles the collected voice signal of audio signal reception device by speech recognition system (ASR)
Command signal is obtained, the voice control to smart machine is realized according to described instruction signal characterized by comprising
Preprocessed audio generates digital audio, generates efficient voice instruction, plays answer statement.
2. voice control optimization method according to claim 1, which is characterized in that the preprocessed audio refers to by connecing
Audio signal is received, before the audio signal enters the speech recognition system (ASR), acoustics is carried out to the audio signal
Filtering obtains preprocessed audio.
3. voice control optimization method according to claim 1, which is characterized in that the preprocessed audio is by Mike's elegance
Collection, generates digital audio by analog-to-digital conversion after analog circuit filters.
4. voice control optimization method according to claim 1, which is characterized in that the digital audio is via speech recognition
System (ASR) generates efficient voice instruction.
5. voice control optimization method according to claim 1, which is characterized in that terminal check receives efficient voice and refers to
After order, answer statement corresponding with efficient voice instruction is searched in current speech control theme, and play the lookup
The answer statement arrived.
6. voice control optimization method according to claim 1, which is characterized in that the acoustic filtering is by mechanical machine
Structure and/or acoustic construction carry out noise reduction process to the voice signal of spatial domain.
Priority Applications (1)
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CN201711500015.4A CN109961785A (en) | 2017-12-26 | 2017-12-26 | A kind of voice control optimization method |
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CN201711500015.4A CN109961785A (en) | 2017-12-26 | 2017-12-26 | A kind of voice control optimization method |
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CN109961785A true CN109961785A (en) | 2019-07-02 |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112151056A (en) * | 2020-09-27 | 2020-12-29 | 浙江诺尔康神经电子科技股份有限公司 | Intelligent cochlear sound processing system and method with customization |
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2017
- 2017-12-26 CN CN201711500015.4A patent/CN109961785A/en active Pending
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112151056A (en) * | 2020-09-27 | 2020-12-29 | 浙江诺尔康神经电子科技股份有限公司 | Intelligent cochlear sound processing system and method with customization |
CN112151056B (en) * | 2020-09-27 | 2023-08-04 | 浙江诺尔康神经电子科技股份有限公司 | Intelligent cochlea sound processing system and method with customization function |
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Application publication date: 20190702 |