CN108429963A - A kind of earphone and noise-reduction method - Google Patents
A kind of earphone and noise-reduction method Download PDFInfo
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- CN108429963A CN108429963A CN201810433351.XA CN201810433351A CN108429963A CN 108429963 A CN108429963 A CN 108429963A CN 201810433351 A CN201810433351 A CN 201810433351A CN 108429963 A CN108429963 A CN 108429963A
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- audio signal
- noise
- environmental audio
- reduction process
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R1/00—Details of transducers, loudspeakers or microphones
- H04R1/10—Earpieces; Attachments therefor ; Earphones; Monophonic headphones
- H04R1/1083—Reduction of ambient noise
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R2201/00—Details of transducers, loudspeakers or microphones covered by H04R1/00 but not provided for in any of its subgroups
- H04R2201/10—Details of earpieces, attachments therefor, earphones or monophonic headphones covered by H04R1/10 but not provided for in any of its subgroups
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- Engineering & Computer Science (AREA)
- Acoustics & Sound (AREA)
- Signal Processing (AREA)
- Soundproofing, Sound Blocking, And Sound Damping (AREA)
Abstract
The embodiment of the invention discloses a kind of earphone and noise-reduction methods.Wherein, earphone includes：Collector for acquiring environmental audio signal；It is connect with the collector, for analyzing the environmental audio signal to determine noise attribute and identify whether the environmental audio signal contains the audio analyzer for the keyword that prestores；It is connect with the audio analyzer, for the controller according to the noise attribute and the recognition result output corresponding control signal for whether containing the keyword that prestores；It is connect respectively with the audio analyzer and the controller, for selecting a target noise reduction process pattern from multiple noise reduction process patterns according to the control signal, the de-noising processor of noise reduction process is carried out to the environmental audio signal using the target noise reduction process pattern.Technical solution provided in an embodiment of the present invention can be handled for different environmental noises using different noise reduction process patterns, and noise reduction is improved.
Description
Technical field
The invention belongs to wearable device technical fields, specifically, being related to a kind of earphone and noise-reduction method.
Background technology
Currently, earphone has become people's accessory indispensable when using intelligent terminal, is seeing video or listening to music
When, it can obtain sound by earphone.With the continuous development of technology, the type of earphone is also more and more, in addition to common ear
Outside machine, also noise cancelling headphone.Noise cancelling headphone can accurately obstruct noise, be automatically adjusted with the variation of sound, can real-time audio school
Standard, optimization sound output.
But current used noise cancelling headphone, function is relatively simple, only single channel noise reduction, for different rings
Border noise, ineffective in noise reduction, there are limitations in terms of function.
Invention content
In view of this, a kind of earphone of offer of the embodiment of the present invention and noise-reduction method, to be carried out to varying environment audio signal
Different noise reduction process improves noise reduction.
The technical issues of to solve in the prior art, an embodiment of the present invention provides a kind of earphones, including：
Collector for acquiring environmental audio signal；
It is connect with the collector, for analyzing the environmental audio signal to determine noise attribute and identify the environment
Whether audio signal contains the audio analyzer for the keyword that prestores；
It is connect with the audio analyzer, for according to the noise attribute and whether containing the identification knot of keyword of prestoring
Fruit exports the controller of corresponding control signal；
It connect, is used for according to the control signal from multiple noise reductions with the audio analyzer and the controller respectively
In reason pattern select a target noise reduction process pattern, using the target noise reduction process pattern to the environmental audio signal into
The de-noising processor of row noise reduction process.
Optionally, the audio analyzer includes：
For analyzing the environmental audio signal to determine the spectral analysis unit of noise attribute, respectively with the collector
And the controller connection；And
For identification whether containing the voice recognition unit of keyword of prestoring in the environmental audio signal, respectively with it is described
Collector and controller connection.
Optionally, the de-noising processor includes：Gating switch, multiple schema processors and acoustical generator；Wherein,
The gating switch is connect with the controller and the multiple schema processor respectively, for according to the control
Signal gates a target pattern processor from the multiple schema processor, described in environmental audio signal access
Target pattern processor；
The multiple schema processor is connect with the acoustical generator respectively.
Optionally, the multiple schema processor includes following at least two：Urban environment schema processor, Railway Environment
Schema processor, aircraft environment schema processor and conversation modes processor.
Optionally, the acoustical generator is arranged on the receiver of the earphone or the acoustical generator passes through earphone cable and institute
State receiver connection.
The embodiment of the present invention additionally provides a kind of noise-reduction method, including：
Obtain environmental audio signal；
The environmental audio signal is analyzed, with the noise attribute belonging to the determination environmental audio signal；
Speech recognition is carried out to the environmental audio signal, whether to identify in the environmental audio signal containing the pass that prestores
Keyword；
According to the noise attribute and voice recognition result, selected from a target noise reduction from multiple noise reduction process patterns
Reason pattern, to carry out noise reduction process to the environmental audio signal using the target noise reduction process pattern.
Optionally, the environmental audio signal is analyzed, with the noise category belonging to the determination environmental audio signal
Property, including：
Fisrt feature information is extracted from the environmental audio signal；
By the fisrt feature information, second feature information corresponding with multiple environmental noises that prestore compares respectively；
It is more than the noise attribute of threshold value to prestore corresponding to environmental noise by similarity, as the environmental audio signal
Noise attribute.
Optionally, the multiple noise reduction process pattern includes at least：Urban environment tupe, Railway Environment handle mould
Formula, aircraft environment tupe and Dialog processing pattern；And
According to the noise attribute and voice recognition result, selected from a target noise reduction from multiple noise reduction process patterns
Reason pattern, including：
In institute's speech recognition result without prestore keyword when, from the urban environment tupe, the Railway Environment
The corresponding target noise reduction mode of the noise attribute of selection one in tupe and the aircraft environment tupe；
In institute's speech recognition result containing it is described prestore keyword when, select the Dialog processing pattern as the mesh
Mark noise reduction process pattern.
Optionally, noise reduction process is carried out to the environmental audio signal using Dialog processing pattern, including：
The environmental audio signal is subjected to noise reduction process, and the keyword that prestores described in containing in environmental audio signal
Corresponding audio-frequency information carries out lossless or enhanced processing.
Optionally, the method further includes：
After noise reduction process being carried out using Dialog processing pattern to the environmental audio signal, the master of cut-out earphone sound channel broadcasting
Audio signal.
Optionally, the method further includes：
When in institute's speech recognition result containing the reset keyword for characterizing operating mode switching, current noise reduction is worked
Pattern switching is non-noise reduction operating mode；Or
When the noise attribute is quiet attribute, current noise reduction operating mode is switched to non-noise reduction operating mode；Or
Person
The operation for switching control key in response to user's touch-control, non-noise reduction Working mould is switched to by current noise reduction operating mode
Formula.
Technical solution provided in an embodiment of the present invention, the environmental audio that collector is sent by the audio analyzer of setting
Signal is analyzed and is identified, to determine the noise attribute of environmental audio signal and whether contain the keyword that prestores, controller root
According to noise attribute and whether the corresponding control signal of recognition result output containing the keyword that prestores, with control de-noising processor from
A target noise reduction process pattern is selected in multiple noise reduction process patterns, noise reduction process is carried out to environmental audio signal, with realization pair
Varying environment noise selects different noise reduction modes to be handled, and improves noise reduction.
Description of the drawings
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair
Some embodiments of bright embodiment, for those of ordinary skill in the art, without creative efforts, also
It can be obtain other attached drawings according to these attached drawings.
Attached drawing described herein is used for providing further understanding the embodiment of the present invention, constitutes the embodiment of the present invention
The illustrative embodiments and their description of a part, the embodiment of the present invention are not constituted for explaining the embodiment of the present invention to this hair
The improper restriction of bright embodiment.
In the accompanying drawings：
Fig. 1 is the functional block diagram of the earphone of the embodiment of the present invention；
Fig. 2 is the flow diagram of the noise-reduction method of the embodiment of the present invention.
Reference sign
10：Collector；20：Audio analyzer；21：Spectral analysis unit；22：Voice recognition unit；30：Controller；40：
De-noising processor；41：Gating switch；43：Urban environment schema processor；44：Railway Environment schema processor；45：Aircraft ring
Border schema processor；46：Conversation modes processor；47：Acoustical generator.
Specific implementation mode
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the embodiment of the present invention, instead of all the embodiments.Based on the embodiment in the embodiment of the present invention, this field
The every other embodiment that those of ordinary skill is obtained without making creative work, belongs to implementation of the present invention
The range of example protection.
In some flows described in the specification of the embodiment of the present invention, claims and above-mentioned attached drawing, contain
According to multiple operations that particular order occurs, these operations can not execute or parallel according to its sequence what appears in this article
It executes.The serial number of operation such as 101,102 etc. is only used for distinguishing each different operation, and serial number itself does not represent any
Execute sequence.In addition, these flows may include more or fewer operations, and these operations can execute or simultaneously in order
Row executes.It should be noted that the descriptions such as " first " herein, " second ", are for distinguishing different message, equipment, mould
Block etc. does not represent sequencing, does not also limit " first " and " second " and is different type.
Inventor has found in the implementation of the present invention, although noise cancelling headphone used at present has decrease of noise functions,
It is no matter in which kind of environment residing for earphone, to be all made of single noise reduction mode and carry out noise reduction, noise reduction is bad.
Therefore, to solve defect in the prior art, a kind of earphone of offer of the embodiment of the present invention and noise-reduction method, can pass through
Different noise reduction process patterns carries out noise reduction process for different environmental audio signals, improves noise reduction.
Carry out the embodiment of the present invention will be described in detail embodiment below in conjunction with accompanying drawings and embodiments, thereby to of the invention real
Applying such as what applied technology method can fully understand and reality according to this to solve technical problem and reach the realization process of technical effect
It applies, the structure of the embodiment of the present invention is described further below in conjunction with attached drawing.
The same or similar label correspond to the same or similar components in the attached drawing of the embodiment of the present invention；Implement in the present invention
In the description of example, it is to be understood that if it is base to have the orientation or positional relationship of the instructions such as term "upper", "lower", "left", "right"
In orientation or positional relationship shown in the drawings, it is merely for convenience of the description embodiment of the present invention and simplifies to describe, rather than indicate
Or imply that signified device or element must have a particular orientation, with specific azimuth configuration and operation, therefore retouched in attached drawing
The term for stating position relationship only for illustration, should not be understood as the limitation to the embodiment of the present invention, for this field
For those of ordinary skill, the concrete meaning of above-mentioned term can be understood as the case may be.
Embodiment 1
Fig. 1 is the schematic diagram of the circuit of the earphone of the embodiment of the present invention, as shown in Figure 1.
An embodiment of the present invention provides a kind of earphones, including：Collector 10, audio analyzer 20, controller 30 and noise reduction
Processor 40.Wherein, collector 10 is for acquiring environmental audio signal.Audio analyzer 20 is connect with collector 10, for dividing
The environmental audio signal is analysed to determine noise attribute and identify the environmental audio signal whether containing the keyword that prestores.Control
Device 30 is connect with audio analyzer 20, for according to the noise attribute and whether containing prestore keyword recognition result export
Corresponding control signal.De-noising processor 40 is connect with audio analyzer 20 and controller 30 respectively, for according to control signal from
One or more target noise reduction process patterns are selected in multiple noise reduction process patterns, using target noise reduction process pattern to ambient sound
Frequency signal carries out the de-noising processor 40 of noise reduction process.
For example, collector 10 can be microphone, for acquiring environmental noise, and by collected environmental noise with
The mode of environmental audio signal is transferred to audio analyzer 20.Audio analyzer 20 by analyzing environmental audio signal,
The noise attribute belonging to environmental audio signal is determined according to the characteristic information in environmental audio signal, to be determined by noise attribute
The affiliated environment of current environmental audio signal, and analysis result is sent to controller 30.Audio analyzer 20 can also be by right
Environmental audio signal carries out speech recognition, by whether the recognition result containing the keyword that prestores is sent to control in environmental audio signal
Device 30 processed.Wherein, controller 30 includes but not limited to for bluetooth or STM32 chips.Controller 30 is sent out according to audio analyzer 20
The noise attribute that comes and whether containing the recognition result of keyword of prestoring, exports corresponding control signal to de-noising processor 40.
De-noising processor 40 selects a target noise reduction process pattern according to control signal from multiple noise reduction process patterns, using target
Noise reduction process pattern carries out noise reduction process to environmental audio signal.
It should be noted that the environmental audio signal described in the embodiment of the present invention refers to the audio acquired from collector 10
Signal, and not comprising the audio signal acquired from the call microphone of earphone, be not directed to earphone and conversed or played music
Etc. the audio signal of other forms processing.
Earphone provided in an embodiment of the present invention is further described in detail below.
Technical solution key provided in an embodiment of the present invention is audio analyzer 20 how by environmental audio signal
It is analyzed, the noise attribute of current environmental audio signal is judged according to the characteristic information in environmental audio signal, that is, is judged
Which kind of noise is current environmental audio signal belong to.
A kind of achievable mode is, audio analyzer 20 prestores that there are many environmental noises of environment, such as city
Environmental noise, Railway Environment noise, aircraft environment noise etc..Audio analyzer 20 receives the ambient sound that collector 10 is sent
When frequency signal, fisrt feature information can be extracted from environmental audio signal, by fisrt feature information respectively with multiple pre- dis environments
The corresponding second feature information of noise is compared, and the noise attribute belonging to current environment audio signal is obtained to analysis.Tool
Body, by fisrt feature information, second feature information corresponding with multiple environmental noises that prestore compares respectively, and similarity is super
Cross the noise attribute of threshold value to prestore corresponding to environmental noise, the noise attribute as the environmental audio signal.
Different environmental audio signals is analyzed to realize, in the embodiment of the present invention, audio analyzer 20 includes point
The spectral analysis unit 21 not connect with collector 10 and controller 30, and connect respectively with collector 10 and controller 30
Voice recognition unit 22.
For analyzing conventional environment noise, voice recognition unit 22 is used for environmental audio spectral analysis unit 21
Signal carries out speech recognition, whether to contain the keyword that prestores in environment-identification audio signal.For example, collector 10 is defined
The environmental audio signal sent is signal A, and multiple environmental noises that prestore have urban environment noise C, Railway Environment noise D, aircraft
Environmental noise E etc..Wherein, the corresponding second feature information of urban environment noise C is c；Corresponding second spies of Railway Environment noise D
Reference breath is d, the corresponding second feature information of aircraft environment noise E is e.
Spectral analysis unit 21 carries out spectrum analysis to signal A, and obtain signal A includes frequency distribution and signal strength
The fisrt feature information a of information etc.；Fisrt feature information a is compared with second feature information c, d and e respectively, obtains
The similarity of one characteristic information a and second feature information c is more than threshold value, it is determined that the noise attribute of signal A is made an uproar for urban environment
Sound.Wherein, the threshold value can be preset, such as 60% etc., and the embodiment of the present invention is not especially limited this.
While spectral analysis unit 21 carries out spectrum analysis to signal A, voice recognition unit 22 also carries out signal A
Whether speech recognition includes the keyword that prestores in identification signal A.Wherein, the keyword that prestores may include " careful ", " note
Meaning ", " * * * " name etc., can be manually set, the embodiment of the present invention is not especially limited this.What needs to be explained here is that：Language
Sound identification process can be found in the prior art, and therefore not to repeat here for the embodiment of the present invention.
When it is implemented, the multiple noise reduction process patterns referred in the present embodiment may include：Urban environment tupe, iron
At least two in road environmental treatment pattern, aircraft environment tupe and Dialog processing pattern etc., the embodiment of the present invention pair
This is not especially limited.Correspondingly, in a kind of achievable technical solution, the de-noising processor that is referred in the embodiment of the present invention
40, which can be used lower structure such as, realizes.That is, shown in Figure 1, the de-noising processor 40 includes：Gating switch 41, multiple patterns
Processor and acoustical generator 47.Gating switch 41 is connect with controller 30 and the multiple schema processor respectively, for according to institute
It states control signal and gates a target pattern processor from the multiple schema processor, the environmental audio signal is connect
Enter the target pattern processor.
What needs to be explained here is that：Audio analyzer in the present embodiment also can by the lossless output of environmental audio signal,
Therefore, as shown in Figure 1, the audio analyzer 20 is connect with the gating switch 41, the gating switch 41 with it is the multiple
Schema processor connects, and the environmental audio signal of 20 lossless output of audio analyzer is exported to the gating switch 41 and is gated
A target pattern processor in, with by target pattern processor to environmental audio signal carry out corresponding modes noise reduction
Reason.
When it is implemented, multiple schema processors may include following at least two：Urban environment schema processor 43, railway
Environmental pattern processor 44, aircraft environment schema processor 45 and conversation modes processor 46.
For example, audio analyzer 20 carries out analysis to environmental audio signal and determines making an uproar belonging to environmental audio signal
Sound attribute is urban environment attribute, and analysis result is sent to controller 30.Controller 30 exports urban environment attribute and corresponds to
Control signal to de-noising processor 40.As shown in Figure 1, the gating switch 41 in de-noising processor 40 is according to control signal communication
Corresponding urban environment schema processor 43.After gating switch 41 is connected to urban environment schema processor 43, urban environment mould
Formula processor 43 generates the backward-wave opposite with environmental audio signal, and pass through sounding according to the environmental audio signal received
Device 47 plays, to realize the noise reduction process to environmental audio signal.
Similarly, when gating switch 41 is connected to Railway Environment schema processor 44 or aircraft environment schema processor 45, iron
Road environmental pattern processor 44 or aircraft environment schema processor 45 are all in accordance with the environmental audio signal received, generation and environment
The opposite backward-wave of audio signal, and played by acoustical generator.
What needs to be explained here is that：The gating switch referred in the embodiment of the present invention after being connected to a processor, other
Processor is off with gating switch.
In a kind of achievable technical solution, gating switch is the gating that the control instruction sent out based on controller is made
Operation.Wherein, controller is to obtain noise attribute after environmental audio signal is analyzed and identified according to audio analyzer
And whether the recognition result containing the keyword that prestores exports corresponding control signal.When it is implemented, controller can be used as
Lower processing procedure：
In institute's speech recognition result without prestore keyword when, from urban environment tupe, Railway Environment tupe
And the corresponding target noise reduction process pattern of the noise attribute is determined in aircraft environment tupe, output gates the target drop
The control signal of the corresponding processor of tupe of making an uproar is realized so that the gating switch makes corresponding gating response by institute
State audio analyzer processor connection corresponding with the target noise reduction process pattern；
In institute's speech recognition result containing it is described prestore keyword when, the control letter of output gating conversation modes processor
Number, so that the gating switch makes corresponding gating response, realizes and connect the audio analyzer and session schema processor
It connects.
Further, the controller may also include following processing procedure：
Reset keyword or the noise attribute containing characterization operating mode switching in institute's speech recognition result are peace
When quiet attribute, the connection of the gating switch and all schema processors in the audio analyzer is cut off, by current drop
Operating mode of making an uproar is switched to non-noise reduction operating mode.
When it is implemented, the reset keyword of characterization operating mode switching may include：The keywords such as Reset, " closing ",
The embodiment of the present invention is not especially limited this.In practical applications, switch the operating mode of earphone, user can also pass through touch-control
Corresponding control key on earphone is realized.For example, Setting pattern switches control key on earphone, after switching control key described in user's touch-control,
Controller switches over current operation mode.For example, current operation mode is switched to non-noise reduction from noise reduction operating mode
Operating mode；Or work at present is switched to noise reduction operating mode from non-noise reduction operating mode.
In addition, the environmental audio signal intensity very little under quiet environment, does not interfere with the use of earphone, need not be dropped
It makes an uproar processing.Therefore, current noise reduction operating mode can be switched to non-noise reduction work by controller when noise attribute is quiet attribute
Operation mode, to reduce the power consumption of Dolby circuit.
Need exist for supplement be：Each schema processor can be by various filter circuits knot in above-mentioned multiple schema processors
Audio gain is closed to realize.The noise reduction process principle of each pattern processor is the superposition to environmental audio information and its backward-wave
To reach noise reduction purpose.Specifically, the process that backward-wave generates can be found in the prior art, details are not described herein again.
The noise reduction process of above-mentioned conversation modes processor 46 is different from above-mentioned urban environment schema processor, Railway Environment mould
Formula processor and aircraft environment schema processor.In institute's speech recognition result containing it is described prestore keyword when, controller
After the control signal of output gating conversation modes processor, the main audio that the also exportable cut-out earphone sound channel of controller plays is believed
Number.Here such as, music that the currently used earphone of user is listened or user are currently using ear for the audio signal that earphone sound channel plays
The phone sound etc. that machine is answered.
In a concrete application scene, user is used earphone and listens to music, and earphone is currently at noise reduction Working mould
Formula.At this point, user's earphone has carried out noise reduction process to environmental audio information, user can focus more on and listen to music.If surrounding has
The current family of human hair is in danger (whistle as do not heard back car), sends out the audio of " careful ".Assuming that " careful " is
Predetermined keyword, the audio analyzer of earphone, which will recognise that, at this time contains predetermined keyword, session in current environment audio signal
Schema processor can be after carrying out noise reduction process to environmental audio signal, then the key that prestores to containing in environmental audio signal
The corresponding audio signal of word, i.e. " careful " carries out lossless or enhanced processing, to allow user in the case where earphone is operated in noise reduction mode,
It can hear some key messages, improve the safety in utilization of earphone.Here the keynote that controller control cut-out earphone sound channel plays
The purpose of frequency signal is to further improve the safety in utilization of earphone.Certainly, controller can not also cut off earphone sound
The audio signal that road plays, the embodiment of the present invention are not especially limited this.
In the embodiment of the present invention, headset main body can be one kind of existing a variety of headset main bodies, for example, wired earphone,
Bluetooth headset etc..A kind of achievable mode is that headset main body includes the receiver group for detecting box and being connect respectively with detection box
Part, main microphon.
47 set-up mode of acoustical generator includes a variety of, for example, acoustical generator 47 is arranged on the receiver of earphone or acoustical generator 47 is logical
The earphone cable is crossed to connect with the receiver.
The set-up mode of collector 10 also includes a variety of, for example, collector 10 is arranged on receiver or detects on box.
Earphone include monotelephone form and it is double listen cartridge form, by it is double listen cartridge form for, the receiver of earphone includes：Left receiver
And right receiver.
Collector 10 can be provided separately on left receiver or right receiver.It can also be equipped on left receiver and right receiver and adopt
Storage 10.
Meanwhile it includes a variety of to detect box set-up mode also, for example, detection box is arranged on left receiver；Or detection box setting
On right receiver；Or detection box is arranged on earphone cable.
Scheme provided in an embodiment of the present invention is introduced below by the usage scenario of earphone.
User uses earphone in urban environment, and earphone can be to automobile sound, construction sound and other noises in current environment
Noise reduction process is carried out, user is merely capable of by obtaining the sound sent out from the receiver of earphone.
When someone is the name of user, such as when " Lao Liu ", while earphone carries out noise reduction process to urban environment noise,
Earphone can also reinforce the output of " Lao Liu " sound so that user can not hear sound " Lao Liu ", while suspend or closing receiver
The sound that component plays.
When user is in quiet environment, the Dolby circuit of earphone is in standby, and reduces noise reduction power consumption.
It should be noted that 20 pre-stored conventional environment noise of audio analyzer and particular surroundings noise (keyword)
It can be pre-set according to the demand of user.
Embodiment 2
Fig. 2 is a kind of schematic diagram of noise-reduction method provided in an embodiment of the present invention.As shown in Fig. 2, including：
Step S101：Obtain environmental audio signal；
Step S102：The environmental audio signal is analyzed, with the noise belonging to the determination environmental audio signal
Attribute；
Step S103：Speech recognition is carried out to the environmental audio signal, with identify in the environmental audio signal whether
Contain the keyword that prestores；
Step S104：According to the noise attribute and voice recognition result, one is selected from multiple noise reduction process patterns
Target noise reduction process pattern, to carry out noise reduction process to the environmental audio signal using the target noise reduction process pattern.
In above-mentioned steps S101, environmental audio signal can be collected by collector, and wherein collector can be provided in
Ambient sound microphone on earphone.
The environmental audio signal is analyzed in above-mentioned steps S102 to determine the noise belonging to environmental audio signal
Attribute can be used following method and realize：
S1021, fisrt feature information is extracted from the environmental audio signal；
S1022, by the fisrt feature information, second feature information corresponding with multiple environmental noises that prestore carries out respectively
Comparison；
S1023, the noise attribute to prestore corresponding to environmental noise by similarity more than threshold value, as the environmental audio
The noise attribute of signal.
Specifically, characteristic information may include thering is frequency distribution and signal strength information etc..For example, the ring got
Border audio signal is signal A, and the urban environment noise that prestores is signal C, Railway Environment noise is signal D, is carefully signal E etc.,
Similarity threshold is 60%.The corresponding second feature information of signal C is c；The corresponding second feature information of signal D is d；Signal E
Corresponding second feature information is e.The fisrt feature information extracted from signal A is a.A is similar to c, d and e progress respectively
Degree compares, if the similarity of only a and c is more than threshold value (such as 60%), it is determined that the noise attribute of signal A is urban environment category
Property.
If the similarity of a and c, a and d are more than threshold value, then the maximum corresponding noise attribute conduct of similarity may be selected
The noise attribute of signal A.For example, the similarity of a and c is more than the similarity of a and d, it is determined that the noise attribute of signal A is city
Environment attribute.
Speech recognition is carried out to environmental audio signal involved in above-mentioned steps S103, reference can be made to existing voice identifies skill
Art, details are not described herein again.
In a kind of achievable technical solution, the multiple noise reduction process pattern includes：Urban environment tupe, iron
Road environmental treatment pattern, aircraft environment tupe and Dialog processing pattern.Correspondingly, above-mentioned steps S104 can be used specifically
Following method is realized：
In S1041, institute's speech recognition result without prestore keyword when, from the urban environment tupe, the iron
The corresponding target noise reduction mode of the noise attribute of selection one in road environmental treatment pattern and the aircraft environment tupe.
Wherein, system intialization has the correspondence of noise attribute and noise reduction mode, without the pass that prestores in voice recognition result
When keyword, according to the correspondence of preset noise attribute and noise reduction mode, the corresponding target noise reduction of the noise attribute is obtained
Pattern.
In S1042, institute's speech recognition result containing it is described prestore keyword when, select the Dialog processing pattern as
The target noise reduction process pattern.
Wherein, the keyword that prestores can be manually set, such as " careful ", " attention ", name etc., and the embodiment of the present invention is to this
It is not especially limited.
Further, when selecting Dialog processing pattern as the target noise reduction process pattern, using Dialog processing mould
Formula carries out noise reduction process to the environmental audio signal, it may include following processing procedure：
The environmental audio signal is subjected to noise reduction process, and the keyword that prestores described in containing in environmental audio signal
Corresponding audio-frequency information carries out lossless or enhanced processing.
Further, in order to improve the safety in utilization of earphone, technical solution provided in an embodiment of the present invention can also wrap
Include following steps：
After noise reduction process being carried out using Dialog processing pattern to the environmental audio signal, the master of cut-out earphone sound channel broadcasting
Audio signal.
Further, in order to reduce the power consumption of earphone, phonetic order, touch-control switching control key are sent out in user or in quiet ring
Under border, earphone can be at non-noise reduction operating mode.Technical solution i.e. provided in an embodiment of the present invention may also include：
When in institute's speech recognition result containing the reset keyword for characterizing operating mode switching, current noise reduction is worked
Pattern switching is non-noise reduction operating mode；Or
When the noise attribute is quiet attribute, current noise reduction operating mode is switched to non-noise reduction operating mode；Or
Person
The operation for switching control key in response to user's touch-control, non-noise reduction Working mould is switched to by current noise reduction operating mode
Formula.
Technical solution provided in an embodiment of the present invention, by the noise attribute and environment-identification sound that determine environmental audio signal
Whether contain predetermined keyword in frequency signal, one selected from multiple noise reduction process patterns according to noise attribute and recognition result
A target noise reduction process pattern handles environmental audio signal, to be made at different noise reductions for different environmental noises
Reason improves noise reduction.
It should be noted that the described device in embodiment 1 can be realized former in the method for embodiment described in embodiment 2
Reason and technique effect can be referred to mutually, and method and apparatus feature is corresponding also no longer can one by one to be repeated herein with cross-referenced.
In conclusion technical solution provided in an embodiment of the present invention, sends collector by the audio analyzer of setting
Environmental audio signal analyzed, to determine the noise attribute of environmental audio signal, controller is according to point of audio analyzer
Analysis output control de-noising processor is using the one or more target noise reduction process patterns pair selected in multiple noise reduction process patterns
Environmental audio signal is handled.Earphone can be achieved according to the difference of environmental noise, different noise reduction modes is selected to be handled,
A variety of channel noise reductions are realized, to improve noise reduction.
It should be noted that, although being retouched in detail to the specific implementation mode of the embodiment of the present invention in conjunction with attached drawing
It states, but should not be construed as the restriction to the protection domain of the embodiment of the present invention.In range described by claims, ability
Various modifications and deformation that field technique personnel can make without creative work still fall within the protection domain of the embodiment of the present invention.
The example of the embodiment of the present invention is intended to concisely illustrate the technical characterstic of the embodiment of the present invention so that art technology
Personnel can intuitively understand the technical characterstic of the embodiment of the present invention, be not intended as the improper restriction of the embodiment of the present invention.
The apparatus embodiments described above are merely exemplary, wherein the unit illustrated as separating component can
It is physically separated with being or may not be.Those of ordinary skill in the art are not the case where paying performing creative labour
Under, you can to understand and implement.
Several preferred embodiments of the embodiment of the present invention have shown and described in above description, but as previously described, it should be understood that
The embodiment of the present invention is not limited to form disclosed herein, is not to be taken as excluding other embodiments, and can be used for
Other combinations, modifications, and environments, and above-mentioned introduction or related field can be passed through in application contemplated scope described herein
Technology or knowledge be modified.And changes and modifications made by those skilled in the art do not depart from the embodiment of the present invention spirit and
Range, then all should be in the protection domain of appended claims of the embodiment of the present invention.
Claims (11)
1. a kind of earphone, which is characterized in that including：
Collector for acquiring environmental audio signal；
It is connect with the collector, for analyzing the environmental audio signal to determine noise attribute and identify the environmental audio
Whether signal contains the audio analyzer for the keyword that prestores；
Connect with the audio analyzer, for according to the noise attribute and whether containing prestore keyword recognition result it is defeated
Go out the controller of corresponding control signal；
Connect respectively with the audio analyzer and the controller, for according to the control signal from multiple noise reduction process moulds
A target noise reduction process pattern is selected in formula, and the environmental audio signal is dropped using the target noise reduction process pattern
It makes an uproar the de-noising processor of processing.
2. earphone according to claim 1, which is characterized in that the audio analyzer includes：
For analyzing the environmental audio signal to determine the spectral analysis unit of noise attribute, respectively with the collector and institute
State controller connection；And
For identification whether containing the voice recognition unit of keyword of prestoring in the environmental audio signal, respectively with the acquisition
Device and controller connection.
3. earphone according to claim 1 or 2, which is characterized in that the de-noising processor includes：It is gating switch, multiple
Schema processor and acoustical generator；Wherein,
The gating switch is connect with the controller and the multiple schema processor respectively, for according to the control signal
A target pattern processor is gated from the multiple schema processor, and the environmental audio signal is accessed into the target
Schema processor；
The multiple schema processor is connect with the acoustical generator respectively.
4. earphone according to claim 3, which is characterized in that the multiple schema processor includes following at least two：
Urban environment schema processor, Railway Environment schema processor, aircraft environment schema processor and conversation modes processor.
5. earphone according to claim 3, which is characterized in that
The acoustical generator is arranged on the receiver of the earphone, or
The acoustical generator is connect by earphone cable with the receiver.
6. a kind of noise-reduction method, which is characterized in that including：
Obtain environmental audio signal；
The environmental audio signal is analyzed, with the noise attribute belonging to the determination environmental audio signal；
Speech recognition is carried out to the environmental audio signal, whether to identify in the environmental audio signal containing the key that prestores
Word；
According to the noise attribute and voice recognition result, a target noise reduction process mould is selected from multiple noise reduction process patterns
Formula, to carry out noise reduction process to the environmental audio signal using the target noise reduction process pattern.
7. according to the method described in claim 6, it is characterized in that, analyzing the environmental audio signal, to determine
The noise attribute belonging to environmental audio signal is stated, including：
Fisrt feature information is extracted from the environmental audio signal；
By the fisrt feature information, second feature information corresponding with multiple environmental noises that prestore compares respectively；
It is more than the noise attribute of threshold value to prestore corresponding to environmental noise, the noise as the environmental audio signal by similarity
Attribute.
8. the method described according to claim 6 or 7, which is characterized in that the multiple noise reduction process pattern includes：Urban environment
Tupe, Railway Environment tupe, aircraft environment tupe and Dialog processing pattern；And
According to the noise attribute and voice recognition result, a target noise reduction process mould is selected from multiple noise reduction process patterns
Formula, including：
In institute's speech recognition result without prestore keyword when, from the urban environment tupe, the Railway Environment processing
The corresponding target noise reduction mode of the noise attribute of selection one in pattern and the aircraft environment tupe；
In institute's speech recognition result containing it is described prestore keyword when, select the Dialog processing pattern to be dropped as the target
It makes an uproar tupe.
9. according to the method described in claim 8, it is characterized in that, using Dialog processing pattern to the environmental audio signal into
Row noise reduction process, including：
The environmental audio signal is subjected to noise reduction process, and the keyword correspondence that prestores described in containing in environmental audio signal
Audio-frequency information carry out lossless or enhanced processing.
10. according to the method described in claim 9, it is characterized in that, further including：
After noise reduction process being carried out using Dialog processing pattern to the environmental audio signal, the main audio of cut-out earphone sound channel broadcasting
Signal.
11. the method described according to claim 6 or 7, which is characterized in that further include：
When in institute's speech recognition result containing the reset keyword for characterizing operating mode switching, by current noise reduction operating mode
It is switched to non-noise reduction operating mode；Or
When the noise attribute is quiet attribute, current noise reduction operating mode is switched to non-noise reduction operating mode；Or
The operation for switching control key in response to user's touch-control, non-noise reduction operating mode is switched to by current noise reduction operating mode.
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| CN111698232A (en) * | 2020-06-03 | 2020-09-22 | 腾讯科技（深圳）有限公司 | Data processing method, data processing device, computer equipment and storage medium |
| CN113096677A (en) * | 2021-03-31 | 2021-07-09 | 深圳市睿耳电子有限公司 | Intelligent noise reduction method and related equipment |
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| CN113301468A (en) * | 2021-05-12 | 2021-08-24 | 深圳市美恩微电子有限公司 | TWS Bluetooth earphone capable of realizing communication noise reduction |
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Application publication date: 20180821 |