CN106157963A - The noise reduction process method and apparatus of a kind of audio signal and electronic equipment - Google Patents
The noise reduction process method and apparatus of a kind of audio signal and electronic equipment Download PDFInfo
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Abstract
The embodiment of the present invention provides noise reduction process method and apparatus and the electronic equipment of a kind of audio signal.The method includes: obtain the original audio signal gathered by camera device；Obtain the feature of noise parameter of initial time period signal in described original audio signal, and using described feature of noise parameter as the initial noise reduction parameters of the first noise reduction process algorithm, described initial time period signal is carried out noise reduction process；Preserve the effective audio signal after noise reduction process.The technical scheme of the embodiment of the present invention, be equivalent to the signal to being positioned at initial time period in original audio signal and carry out iteration noise reduction process, shorten the convergence time that audio defeat processes, the audio signal in the voice signal recorded or video multimedia is made to carry out effective noise reduction process from the beginning, thus improve the holophrase sound quality of institute's recorded information, improve Consumer's Experience.
Description
Technical field
The present embodiments relate to Audio Signal Processing technical field, more specifically to a kind of audio signal
Noise reduction process method and apparatus and electronic equipment.
Background technology
Along with the evolution of intelligent electronic device and developing rapidly of multimedia technology, mobile multimedia applied business
More and more abundanter, user often uses intelligent electronic device to carry out video recording or audio frequency record anywhere or anytime
System.
When using the business of video record or audio recording, user always encounters a typical problem.Work as user
When being in noisy environment, as travel automobile in or a noisy bar in etc., typically shoot with video-corder
Voice all can be affected by ambient noise so that voice quality becomes very poor and is difficult to not hear, understand.
This impact can reduce the total quality of shot with video-corder audio frequency, video signal, instant especially for some voice
Communications applications, can make voice communication quality to be guaranteed.In use above scene, for audio frequency
In or video multimedia stream in the noise reduction process of audio signal obviously the most necessary.
The audio signal noise reduction process that prior art is provided, it is common that use noise reduction algorithm, from audio signal
Middle identification noise signal, and noise signal is decayed, Processing for removing, in order to retain effective audio signal,
Voice quality is made to become apparent from.
But, no matter use which kind of noise reduction algorithm, be required to by one period of training time, in order to measure and to comment
Estimate the characteristic parameter of external noise, thus adjust the noise model that noise reduction algorithm is set up, carry out noise reduction process.
Within this period of training time, it is desirable to the target audio signal such as the voice of recording still can be by noise signal
Impact.After the training time, noise reduction algorithm onset, noise signal could be reduced or eliminated.This
The training time of one section of noise reduction algorithm is also referred to as noise reduction convergence time.Audio quality in this period of training time
Still cannot improve, cause Consumer's Experience poor.
Summary of the invention
The embodiment of the present invention provides noise reduction process method and apparatus and the electronic equipment of a kind of audio signal, with excellent
Change the noise reduction process process of audio signal, improve the audio quality in the noise reduction training time.
First aspect, embodiments provides a kind of noise reduction process method of audio signal, including:
Obtain the original audio signal gathered by camera device；
Obtain the feature of noise parameter of initial time period signal in described original audio signal, and described noise is special
Levy the parameter initial noise reduction parameters as the first noise reduction process algorithm, described initial time period signal is carried out noise reduction
Process；
Preserve the effective audio signal after noise reduction process.
Second aspect, the embodiment of the present invention additionally provides the noise reduction process device of a kind of audio signal, including:
Primary signal acquisition module, for obtaining the original audio signal gathered by camera device；
Noise identification and noise reduction module, obtain the feature of noise of initial time period signal in described original audio signal
Parameter, and using described feature of noise parameter as the initial noise reduction parameters of the first noise reduction process algorithm, to described
Initial time period signal carries out noise reduction process；
Useful signal preserves module, the effective audio signal after preserving noise reduction process.
The third aspect, the embodiment of the present invention additionally provides a kind of electronic equipment, including camera device and broadcasting dress
Putting, this electronic equipment also includes: the noise reduction process device of the audio signal that any embodiment of the present invention is provided.
The technical scheme of the embodiment of the present invention, identifies feature of noise parameter from initial time period, by this noise
Characteristic parameter carries out noise reduction process as the initial noise reduction parameters of noise reduction process to initial time period, is equivalent to former
The signal being positioned at initial time period in beginning audio signal has carried out iteration noise reduction process, shortens as far as possible, even eliminates
The convergence time (training time) that audio defeat processes so that the voice signal of recording or video multimedia
In audio signal carry out effective noise reduction process from the beginning, thus improve the holophrase of institute's recorded information
Sound quality, improves Consumer's Experience.
Accompanying drawing explanation
The structural representation of the business model of the Audio Signal Processing that Fig. 1 is suitable for by the embodiment of the present invention；
The flow chart of the noise reduction process method of a kind of audio signal that Fig. 2 provides for the embodiment of the present invention one；
Fig. 3 is the signal waveforms before and after the universal audio noise reduction process that the embodiment of the present invention is based on；
The flow chart of the noise reduction process method of a kind of audio signal that Fig. 4 provides for the embodiment of the present invention two；
The Audio Signal Processing process schematic that Fig. 5 a is suitable for by the embodiment of the present invention two；
Fig. 5 b is the oscillogram before and after the audio signal noise reduction process involved by the embodiment of the present invention two；
The flow chart of the noise reduction process method of a kind of audio signal that Fig. 6 provides for the embodiment of the present invention three；
The Audio Signal Processing process schematic that Fig. 7 a is suitable for by the embodiment of the present invention three；
Fig. 7 b is the oscillogram before and after the audio signal noise reduction process involved by the embodiment of the present invention three；
The structural representation of the noise reduction process device of a kind of audio signal that Fig. 8 provides for the embodiment of the present invention four；
The structural representation of the noise reduction process device of a kind of audio signal that Fig. 9 provides for the embodiment of the present invention five；
The structural representation of the noise reduction process device of a kind of audio signal that Figure 10 provides for the embodiment of the present invention six
Figure；
The electronic equipment of a kind of noise reduction process realizing audio signal that Figure 11 provides for the embodiment of the present invention seven
Structural representation.
Detailed description of the invention
The present invention can be described by functional module element and various process step at this.These functional modules
Can be with any amount of nextport hardware component NextPort or software unit by configuring the function realizing specifying.Such as, originally
Invention can use various integrated circuit component, such as memory component, digital signal processing unit, logic list
Unit, data form etc., under one or more microprocessors or other control controlling device, realize various merit
Energy.Additionally, it will be understood by the skilled person that the present invention is the most double with any data and voice transfer protocol
Hold, so system described here is only an example use of the present invention.
Any the implementing being described herein as is intended merely to preferably introduce the present invention and its best effort
Pattern, shall not be construed as any type of restriction to the present invention.For simplicity, traditional
Technology such as signal processing, data transmission, signaling, packet-switched transmission, network controls, and other system merit
Can (and each functional unit of system) may will not here be discussed in detail, but skilled practitioner
They should there be enough understandings.Additionally, the connecting line between various elements in figure is exemplary company
Connect functional relationship and/or the physical connection of different assembly.It should be noted that many alternately or additionally functions are closed
System or physical connection can be existing at an actual communication system applications interior-excess.
The noise reduction process method of the audio signal that the embodiment of the present invention is provided, is applicable under noisy environment
Carry out audio frequency, video shoot with video-corder scene, the original audio signal shot with video-corder is carried out noise reduction process, the suitableeest
For the noise reduction process to voice signal.Effective audio signal after noise reduction process can carry out preserving or at this
Ground playing device is play or the intelligence of far-end can be transferred to by instant messaging means as audio-frequency information
Electronic equipment.
The structural representation of the business model of the Audio Signal Processing that Fig. 1 is suitable for by the embodiment of the present invention, should
Business model is to use intelligent electronic device to shoot with video-corder the audio or video comprising voice signal under typical noise environment
Signal, and the business model transmitted or play.
As it is shown in figure 1, the local camera device 114 of local intelligent electronic equipment 110 is in noisy noise
In environment, there is a lot of environmental noise signal 112, user expects the pure targeted voice signal 111 shot with video-corder
Can be by the interference of environmental noise signal 112 and impact.When opening local camera device 114 and shooting with video-corder,
Indiscriminate targeted voice signal 111 and environmental noise signal 112 can be shot with video-corder in the lump.The mixing shot with video-corder
Signal is as original audio signal, it will thus provide carry out noise reduction process to noise reduction process module 113.Then, fall
The effective audio signal processed of making an uproar can be play by local playing device 115, it is also possible to via wireless biography
Defeated path 101 is sent to far-end intelligent electronic device 120, far-end playing device 121 play.Or,
Effective audio signal of noise reduction process can also be transmitted to far-end by wired connection and be played out.Broadcast
The effective audio signal put is to eliminate the interference of noise, comparatively clean voice signal clearly.
The technical scheme of the embodiment of the present invention is applicable in this business model, optimizes audio defeat processing links,
Specifically introduce below by embodiment.
Embodiment one
The flow chart of the noise reduction process method of a kind of audio signal that Fig. 2 provides for the embodiment of the present invention one, figure
Signal waveforms before and after the 3 universal audio noise reduction process being based on for the embodiment of the present invention.The method is permissible
Being performed by the noise reduction process device of audio signal, this device can be integrated in has audio defeat process demand
Arbitrarily in electronic equipment, such as this noise reduction process device can be as the local intelligent electronic equipment 110 in Fig. 1
In noise reduction process module 113.
The method that the present embodiment provides comprises the steps:
The original audio signal that step 210, acquisition are gathered by camera device；
In above-mentioned steps, original audio signal 310 is shot with video-corder acquisition by camera device, has both included that user needs
The target audio signal 301 such as such as voice to be recorded, also include the environmental noise signal 302 shooting with video-corder in environment,
As shown in Figure 3.The original audio signal 310 obtained in this step, both can be local intelligent electronic equipment
Directly gathered by the camera device of self configuration, it is also possible to be gathered by the camera device of other equipment after
It is transmitted further to local intelligent electronic equipment and carries out noise reduction process.
Camera device can be mike, is only acquired audio frequency, it is also possible to is that other shoot with video-corder instrument, adopts
Collection includes the video of audio signal, and this is not limited by technical scheme.
I.e., it is possible to use mike collection to obtain primary speech signal, as original audio signal.
Or, it would however also be possible to employ camera acquisition obtains raw video signal, and extracts described original video letter
Original audio signal in number.
Step 220, obtain the feature of noise parameter of initial time period signal in described original audio signal, and will
Described initial time period, as the initial noise reduction parameters of the first noise reduction process algorithm, is believed by described feature of noise parameter
Number carry out noise reduction process.
Wherein, the time span of described initial time period is preferably equal or larger than described first noise reduction process algorithm
Training the period time span.
The time span of described initial time period can be preset value.Empirically determined noise reduction process can be in advance based on
The training period of time length of algorithm, then sets the time span of initial time period, it is ensured that it equals to or more than
The time span of training period.Or, it is also possible to the time span of Dynamic Recognition training period, receive in training
The time span of initial time period is determined after holding back.
Voice signal after step 230, preservation noise reduction process.
Technique scheme is described below realizes principle.Fig. 3 is the general sound that the embodiment of the present invention is based on
Frequently the signal waveforms before and after noise reduction process.
As it is shown on figure 3, user expects the target audio signal 301 of admission, by environmental noise signal 302
Impact, the original audio signal 310 of actual admission comprises target audio signal 301 and environmental noise letter
Numbers 302, need to carry out noise reduction process, to eliminate the impact of environmental noise signal 302.
Any noise reduction process algorithm, one period of training time of certain needs, makes an uproar in order to measure and to assess outside
The feature of sound, thus carry out noise reduction for noise model.Noise reduction process algorithm is used to carry out noise reduction process
Basic process is, uses certain noise reduction process algorithm, using acquiescence input parameter as initial noise reduction parameters,
Noise reduction process is proceeded by from the head of original audio signal 310.Due to acquiescence input parameter and environmental noise
The characteristic parameter of signal does not mate when initial, so within this period of training time, target audio is believed
Numbers 301 still can be affected by environmental noise signal 302.Noise reduction process algorithm can use some rule to know
In the other cycle, the state of audio signal after noise reduction process, adjusts the input parameter of next cycle subsequently,
Again carry out noise reduction training.So circulate several cycles, so that it may so that input parameter and original audio signal
The characteristic parameter of environmental noise tends to coupling.When the setting reaching this noise reduction process algorithm requires, i.e. it is considered as
The training convergence of noise reduction process algorithm.For the original audio signal 310 recorded, its environmental noise signal
302 is basicly stable, and the feature of noise parameter of each section can be considered consistent, therefore after training convergence, can use
The feature of noise parameter that training obtains, has continued the noise reduction of follow-up original audio signal.
Understand based on above-mentioned noise reduction process process, after the training time, noise reduction process algorithm onset,
Environmental noise signal 302 in original audio signal 310 can be eliminated.This period of noise reduction training period 303
Also referred to as noise reduction convergence time.As shown in the signal waveform of the second row in Fig. 3, according to existing noise reduction
Processing mode, then the target audio signal 301 of noise reduction training period 303 nevertheless suffers from environmental noise signal 302
Impact.After convergence, signal enters noise and eliminates the stage 304, can see environmental noise signal 302
It has been basically eliminated.
The technical scheme of the embodiment of the present invention proposes improvement based on above-mentioned noise reduction process principle.Above-mentioned steps
In 220, first obtain the feature of noise parameter of initial time period 305 signal in original audio signal 310.When
When setting the time span of described initial time period 305 equal to or more than the training of described first noise reduction process algorithm
Section time span time, then this initial time period 305 can include the training period of the first noise reduction process algorithm, as
Shown in Fig. 3.
The original audio signal 310 of initial time period 305, had both included target audio signal 301, had also included environment
Noise signal 302.User is when using recording, recording function or voice instant communication function, and recording is once
Completing, the ambient noise characteristics comprised in the original audio signal enrolled is exactly changeless, therefore leads to
Cross the training of the noise reduction to this type noise and obtain feature of noise parameter, can be on this basis to the training period
Audio signal carries out noise reduction process.
By the feature of noise parameter of this initial time period 305, the initial noise reduction directly as noise reduction process algorithm is joined
Number, carries out noise reduction process to initial time period 305 signal, is equivalent to noise reduction process algorithm is trained the period
Audio signal has carried out loop iteration noise reduction.That is, use the feature of noise parameter accurately identified to training
The audio signal of period carries out noise reduction process.
For in original audio signal, other period audio signals in addition to initial time period, can still adopt
Noise reduction process is carried out with the noise reduction process algorithm of training convergence.
In step 230, obtain effective audio signal that noise eliminates to a certain extent after noise reduction process, enter
Row preserves.After effectively audio signal preserves, can be by described effective audio signal by local playback equipment
Play out；Or, it is also possible to described effective audio signal is broadcast to far-end by wired or wireless communication network
Put equipment, to play out.
As shown in the signal waveform of Fig. 3 the third line, use the technical scheme of the embodiment of the present invention, due to initially
Period 305 signal is through effective noise reduction process, so the noise signal essentially eliminated in the training period,
Obtain whole section of effective audio signal the purest.Even if initial time period is less than the time span of training period,
Noise signal in the part training period can also be carried out effective noise reduction, reach to shorten the effect of convergence time.
The technical scheme of the embodiment of the present invention, identifies feature of noise parameter from initial time period, by this noise
Characteristic parameter carries out noise reduction process as the initial noise reduction parameters of noise reduction process to initial time period, is equivalent to former
The signal being positioned at initial time period in beginning audio signal has carried out iteration noise reduction process, shortens as far as possible, even eliminates
The convergence time (training time) that audio defeat processes so that the voice signal of recording or video multimedia
In audio signal carry out effective noise reduction process from the beginning, thus improve the holophrase of institute's recorded information
Sound quality, improves Consumer's Experience.
Embodiment two
The flow chart of the noise reduction process method of a kind of audio signal that Fig. 4 provides for the embodiment of the present invention two, figure
The Audio Signal Processing process schematic that 5a is suitable for by the embodiment of the present invention two, Fig. 5 b is that the present invention implements
The oscillogram before and after audio signal noise reduction process involved by example two.The present embodiment is with the technical side of embodiment one
Based on case, it is provided that a kind of preferred embodiment.
As shown in Figure 4, the method for the present embodiment includes:
The original audio signal that step 410, acquisition are gathered by camera device；
Step 420, use the second noise reduction process algorithm that initial time period signal in described original audio signal is entered
Row noise reduction is trained；
When the time span of wherein said initial time period equals to or more than the training of described first noise reduction process algorithm
The time span of section.
Step 430, obtain the feature of noise parameter of described initial time period signal when training convergence；
Step 440, using described feature of noise parameter as the initial noise reduction parameters of the first noise reduction process algorithm,
Noise reduction process is proceeded by from the head of described original audio signal；
Effective audio signal after step 450, preservation noise reduction process.
Below in conjunction with Fig. 5 a and Fig. 5 b, the work process of the present embodiment is described in detail.
As shown in figure 5 a and 5b, original audio signal 510 includes the oscillogram of original audio signal 510
Expect targeted voice signal 501 and the environmental noise signal 502 recorded.
Can calculate based on the second noise reduction process from the beginning of the initial time period 503 of original audio signal 510 head
Method carries out noise reduction training and noise assessment 504.Original state, the second noise reduction process algorithm do not trains convergence,
Therefore can carry out noise reduction training based on acquiescence input parameter as initial noise reduction parameters, be obtained by noise assessment
The feature of noise parameter 505 of environmental noise.The time span of initial time period 503 should exceed used
One noise reduction process convergence of algorithm time span or training time length.It should be noted that at the beginning of being intercepted
The signal of period 503 beginning, is not limited solely to the pure environmental noise signal 502 of example in Fig. 5 a, it is also possible to
Comprise the situation of the mixed signal of targeted voice signal 501 and environmental noise signal 502.
When implementing, can identify adaptive by the Parameters variation process monitoring the second noise reduction process algorithm
The feature of noise parameter that should mate is the most matched, i.e. trains and has restrained, accordingly can be in training
Feature of noise parameter is obtained immediately, as the feature of noise parameter of initial time period signal after convergence.Or also may be used
With at the end of initial time period, extract the feature of noise parameter recognized, special as the noise after training convergence
Levy parameter.The training period can be made to be necessarily included in initial time period by the time span setting initial time.
Such as, rule of thumb know the training period of time length of noise reduction process algorithm, then set initial time
Time span is the several times of training period of time length.
As shown in Figure 5 a, after obtaining the feature of noise parameter 504 of described initial time period 503 signal, can
To stop the noise reduction process of the second noise reduction process algorithm, but using described feature of noise parameter 504 as first
The initial noise reduction parameters of noise reduction process algorithm, it is provided that to noise reduction process module 506, from original audio signal 510
Head proceed by noise reduction process, so use the first noise reduction process algorithm at original audio signal 510
When initial time period carries out noise reduction process, the feature of noise parameter mated with environmental noise can be directly used to carry out
Noise reduction process, is equivalent to eliminate the training period.
Described first noise reduction process algorithm can be identical with described second noise reduction process algorithm, it is also possible to different.
Certainly, the feature of noise parameter matching degree involved when two noise reduction process algorithms are identical is higher, uses phase
Same noise reduction process algorithm also can be without the form of converting characteristic parameter, can be directly as the input of noise reduction model
Parameter carries out noise reduction process.
The method using the present embodiment carries out the audio signal waveform before and after noise reduction process as shown in Figure 5 b, permissible
See, employ the effective audio frequency after the noise reduction process method described in the present embodiment, after noise reduction process
Signal 520 completely eliminates the convergence time (training time) of noise reduction process, audio signal head also
Eliminate noise signal so that the voice signal in the voice signal of recording or video multimedia is from the beginning
Carry out the noise reduction process of optimum efficiency, thus improve the holophrase sound quality of institute's recorded information, optimize user
Use impression.
The present embodiment is equivalent to carry out initial time period signal twice noise reduction process, uses second for the first time
Noise reduction process algorithm carries out noise reduction training, and second time uses feature of noise parameter as the first noise reduction process algorithm
Initial noise reduction parameters again carry out noise reduction process.For the original audio letter of other periods after initial time period
Number the first noise reduction process algorithm is then used to carry out a noise reduction process.
For the second time noise reduction process of initial time period signal, can complete other periods noise reduction process it
Front execution, detailed process is as previously mentioned.
Can also perform again after completing the noise reduction process of other periods at the second time noise reduction of initial time period signal
Reason.Such as, with the second noise reduction process algorithm, proceed by noise reduction process from the head of original audio signal,
Identify the feature of noise parameter obtaining initial time period signal in the process.Based on the second noise reduction process algorithm
After completing the noise reduction process of whole section of original audio signal, then to initial time period signal, make with feature of noise parameter
Secondary noise reduction process is carried out for initial noise reduction parameters.
The noise reduction process order of day part signal is not limited by the embodiment of the present invention, having of final preservation
The noise reduction process effect of effect audio signal is identical.
Embodiment three
The flow chart of the noise reduction process method of a kind of audio signal that Fig. 6 provides for the embodiment of the present invention three, figure
The Audio Signal Processing process schematic that 7a is suitable for by the embodiment of the present invention three, Fig. 7 b is that the present invention implements
The oscillogram before and after audio signal noise reduction process involved by example three.The present embodiment based on embodiment one,
Provide the preferred embodiment of another kind of noise reduction process.
As shown in Figure 6, the method for the present embodiment includes:
The original audio signal that step 610, acquisition are gathered by camera device；
Step 620, from described original audio signal obtain initial time period signal, wherein said initial time period
Time span equal to or more than described first noise reduction process algorithm training the period time span；
Before step 630, the head that described initial time period signal replication is superimposed to described original audio signal,
As preposition period signal；
Step 640, use described first noise reduction process algorithm, proceed by fall from described preposition period signal
Make an uproar training, thus obtain the described feature of noise parameter after training convergence；
The noise of Adaptive matching can be identified by the Parameters variation process monitoring the first noise reduction process algorithm
Characteristic parameter is the most matched, i.e. trains and has restrained, and can obtain immediately accordingly after training convergence
Take feature of noise parameter, as the feature of noise parameter of initial time period signal.Or can also be at initial time period
At the end of, extract the feature of noise parameter recognized, as the feature of noise parameter after training convergence.
Step 650, use described first noise reduction process algorithm, continue after training convergence to described preposition time
The initial time period signal of segment signal and described original audio signal carries out noise reduction process；
Step 660, audio signal after noise reduction process amputate described preposition period signal.
Effective audio signal after step 670, preservation noise reduction process.
Below in conjunction with Fig. 7 a and Fig. 7 b, the work process of the present embodiment is described in detail.
As shown in Figure 7a, original audio signal 710 includes targeted voice signal 701 and the environment of expectation recording
Noise signal 702.Can be according to the time span of the initial time period 703 set, from original audio signal 710
Head start replica audio signal, to obtain initial time period 703 signal.
By the head of initial time period 703 Signal averaging of duplication to whole section of original audio signal 710, before becoming
Put period signal 704, then define the audio signal 706 after one section of new superposition head, when it includes preposition
Segment signal 704 and original audio signal 710.
In noise reduction process module 705, use the first noise reduction process algorithm, continuously to the sound after superposition head
Frequently signal 706 carries out noise reduction process.Therefore, in preposition period signal 704, the first noise reduction process algorithm
Actually carry out noise reduction training, owing to the time span of initial time period 703 is equal to or more than described first noise reduction
The time span of the training period of Processing Algorithm, it is possible to i.e. complete training in preposition period signal 704
Convergence.No matter when completing in the preposition period trains convergence, all proceeds noise reduction process, the most right
In whole section of original audio signal 710, noise reduction process can be continuously finished under conditions of training convergence.
After noise reduction process completes, obtain including effective audio signal 720 of preposition period, as shown in Figure 7b,
After being amputated by the preposition period signal 704 repeating to be superimposed upon head, i.e. recover the time of original audio signal
Length, obtains the effective audio signal 730 after noise reduction process.
From the waveform shown in Fig. 7 b, counterweight overlapping adds the audio signal after head 706 and carries out noise reduction process
Generate the effective audio signal 720 including the preposition period afterwards.It can be seen that include effective sound of preposition period
Signal 720 still contains the preposition period part of noise reduction convergence time frequently.According to requirement described above and
It is assumed that time span noise reduction the to be longer than convergence time of the preposition period signal 704 owing to repeating superposition, because of
Part residing for the convergence time of this most preposition period is useless (or unnecessary) repetition head.?
After will repeat superposition head signal remove, be the formation of final effective audio signal 730.Visible effectively
Audio signal 730 completely eliminates the convergence time (training time) that voice de-noising processes so that record
Voice signal or video multimedia in voice signal carry out the noise reduction process of optimum efficiency from the beginning,
Thus improve the holophrase sound quality of institute's recorded information, optimize the use impression of user.
The embodiment of the present invention is pre-by training the audio signal of period to be circulated iteration noise reduction process algorithm
Process, it is possible to eliminate voice de-noising convergence time (training time), promote voice de-noising quality.As training
The initial time period signal of period, can be to whole section of original audio letter to its time being iterated pretreatment
Before number carrying out noise reduction process, it is also possible to afterwards, or use the provided example of embodiment three, formation one
Continuous print noise reduction process is carried out after the audio signal of Duan Xin.As long as the feature of noise that can use initial time period is joined
Number carries out noise reduction process as the initial noise reduction parameters of noise reduction process to initial time period.
The technical scheme that the embodiment of the present invention provides, it is possible to use in the system of any audio sample rate.Appoint
The process of the voice signal contained in the process of what voice signal and video multimedia, is all answering of the present invention
Use scope.
Additionally, the technical scheme of the embodiment of the present invention, process for the most saved original audio signal,
It is appreciated that the original audio signal of this preservation can be one section of sound that user records under same environment continuously
Frequently signal, it is also possible to be the audio signal that the interrupted multistage recorded preserves respectively under same environment.For many
Section original audio signal can be respectively adopted the technical scheme of the embodiment of the present invention and carry out noise reduction process.
Embodiment four
The structural representation of the noise reduction process device of a kind of audio signal that Fig. 8 provides for the embodiment of the present invention four,
This device includes: primary signal acquisition module 810, noise identification and noise reduction module 820 and useful signal are protected
Storing module 830.
Wherein, primary signal acquisition module 810, believe for obtaining the original audio gathered by camera device
Number；Noise identification and noise reduction module 820, obtain the noise of initial time period signal in described original audio signal
Characteristic parameter, and using described feature of noise parameter as the initial noise reduction parameters of the first noise reduction process algorithm, right
Described initial time period signal carries out noise reduction process, and wherein, the time span of described initial time period is preferably equal to
Or the time span of the training period more than described first noise reduction process algorithm, preferably, described initial time period
Time span be preset value；Useful signal preserves module 830, the effective sound after preserving noise reduction process
Frequently signal.
The technical scheme that the embodiment of the present invention four is provided, the initial time period signal to original audio signal, base
In the feature of noise parameter identified as the initial noise reduction parameters of noise reduction process algorithm, it is iterated at noise reduction
Reason, it is possible to eliminate the training period during noise reduction process, make whole section of original audio signal all obtain preferably
Noise reduction process effect, improves user's experience.
On the basis of such scheme, primary signal acquisition module 810 is particularly used in:
Mike collection is used to obtain primary speech signal, as original audio signal；Or
Use camera acquisition to obtain raw video signal, and extract the original sound in described raw video signal
Frequently signal.
Additionally, this device also includes: local playing module 840 or far-end transport module 850.
Wherein, local playing module 840, after the effective audio signal after preserving noise reduction process,
Described effective audio signal is played out by local playback equipment.Far-end transport module 850, is used for
After preserving the effective audio signal after noise reduction process, by described effective audio signal by wired or wireless logical
Communication network is to far-end playback equipment, to play out.
Embodiment five
The structural representation of the noise reduction process device of a kind of audio signal that Fig. 9 provides for the embodiment of the present invention five,
The present embodiment is based on embodiment four, it is provided that a kind of preferred embodiment.This device includes: primary signal obtains
Delivery block 810, noise identification and noise reduction module 820 and useful signal preserve module 830.
Wherein, described noise identification and noise reduction module 820 specifically include noise recognition unit 821 and noise reduction list
Unit 822, wherein, described noise recognition unit 821 specifically for: use the second noise reduction process algorithm to institute
State initial time period signal in original audio signal and carry out noise reduction training；Training convergence time obtain described initial time
The feature of noise parameter of segment signal.
Noise reduction unit 822 for using described feature of noise parameter as the initial noise reduction of the first noise reduction process algorithm
Parameter, carries out noise reduction process to described initial time period signal.
On the basis of technique scheme, described noise reduction unit 822 preferably specifically for: by described noise
Characteristic parameter is as the initial noise reduction parameters of the first noise reduction process algorithm, from the head of described original audio signal
Proceed by noise reduction process.Thus come initial time period by continuously original audio signal being carried out noise reduction process
Signal carries out effective noise reduction process.
Described first noise reduction process algorithm is the most identical with described second noise reduction process algorithm, so that based on
The feature of noise parameter that two noise reduction process algorithm identifications obtain is more suitable for dropping whole section of original audio signal
Make an uproar process.
The technical scheme of the present embodiment, additionally carries out the pre-of noise reduction training and loop iteration to initial time period signal
Process, it is possible to make whole section of original audio signal all obtain effective noise reduction process, eliminate training period noise letter
Number impact.
Embodiment six
The structural representation of the noise reduction process device of a kind of audio signal that Figure 10 provides for the embodiment of the present invention six
Figure, the present embodiment is based on embodiment four, it is provided that another kind of preferred embodiment.This device includes: original
Signal acquisition module 810, noise identification and noise reduction module 820 and useful signal preserve module 830.
Wherein, described noise identification and noise reduction module 820 include: initial signal acquiring unit 823, head
Replicate superpositing unit 824, preposition period training unit 825, following sessions noise reduction unit 826 and preposition period
Amputation unit 827.
Wherein, initial signal acquiring unit 823, for obtaining initial time period from described original audio signal
Signal；Head replicates superpositing unit 824, for being superimposed to described original by described initial time period signal replication
Before the head of audio signal, as preposition period signal；Preposition period training unit 825, is used for using
Described first noise reduction process algorithm, proceeds by noise reduction training from described preposition period signal, thus obtains instruction
Practice the described feature of noise parameter after convergence；Following sessions noise reduction unit 826, is used for using described first fall
Make an uproar Processing Algorithm, continue at the beginning of described preposition period signal and described original audio signal after training convergence
Beginning period signal carries out noise reduction process；Amputation of preposition period unit 827, for the audio frequency after noise reduction process
Signal amputates described preposition period signal.
The noise reduction process device that the present embodiment provides, can continuously perform noise reduction process process, i.e. can continue to use
Original noise reduction process software or hardware, only perform head superposition before noise reduction process, hold after noise reduction process
The amputation of wardrobe portion operates, it is thus possible to improve reality on the basis of existing software and hardware configuration easily
Execute.
The noise reduction process device of the audio signal that various embodiments of the present invention are provided can perform the present invention arbitrarily to be implemented
The noise reduction process method of the audio signal that example is provided, possesses the corresponding functional module of execution method and useful effect
Really.
The noise reduction process device of the audio signal that the embodiment of the present invention provides, can join as noise reduction process module
It is placed in computer system or other processing system of noise reduction process demand, typical such as intelligent electronic device.
This device can use hardware, software or combinations thereof to realize.Computer system and other processing systems
There is various ways, including wireless mobile handset, portable music player, Infotainment terminal, flat board electricity
Brain, notebook computer, desktop computer etc..
Embodiment seven
The electronic equipment of a kind of noise reduction process realizing audio signal that Figure 11 provides for the embodiment of the present invention seven
Structural representation.As shown in figure 11, this electronic equipment 1101 include processor 1102, memorizer 1103,
Camera device 1104 and playing device 1105, can be connected by communication bus 1106, carry out data interaction.
This memorizer 1103, preferably random access memory (RAM), also include hard disk drive or can
Mobile memory driver, represents disk or tape drive, CD drive etc..Removable storage drive with
Well-known mode reads or writes removable memory module.Removable memory module, represents magnetic or light
Learn media such as disk or tape etc., removable memory driver read and write.It is perfectly clear, removable storage
Unit contain computer can storage medium and store computer software and/or data.
In other embodiments, memorizer 1103 can also include that other is similarly used for allowing computer program
Or other instruction is loaded into the device of electronic equipment.Such device can include, the most pluggable storage
Unit and interface.Such example can include that USB flash drive and interface, programming box and pod interface are (as regarded
Frequently visible in game station), the pluggable memory chip of other types and corresponding socket, such as SD card etc.,
And other removable memory module and interface, it is allowed to software and data are sent to electricity from removable memory module
Subset.
This camera device 1104 is the audio-video acquisition equipments such as such as mike, is used for gathering acquisition original audio
Signal.
This memorizer 1103 is used for storing computer instruction and audio signal.
Processor 1102, for performing the computer instruction in memorizer 1103, with the original sound to storage
Frequently signal carries out noise reduction process according to the noise reduction process method that any embodiment of the present invention is provided, and is formed effectively
Audio signal, is saved in memorizer 1103.
Playing device 1105, for playing effective audio signal of preservation.
This electronic equipment 1101 can also include communication interface 1107.Communication interface 1107 allows software sum
It is transmitted according between electronic equipment 1101 and external equipment.The example of communication interface 1107 can include
Modem, network interface (such as Ethernet card), COM1, PCMCIA slot and card etc..Pass through
The software of communication interface 1107 transmission and data can be electronics, electromagnetism, optics or other signal can be by
Communication interface 1107 receives.These signals are supplied to communication interface, it is possible to use electric wire or cable, light
The RF of the connection of fibre, telephone wire, cell phone, WiFi or movement connects and other communication channel carrying letter
Number, to outside device transmission.
The embodiment of the present invention additionally provides a kind of non-Transient calculation machine program product, and it includes having and is stored in it
In the computer usable medium of computer program logic, described computer program includes for performing basis
The instruction of each step of noise reduction process algorithm of the audio signal that invention any embodiment is provided.
The embodiment of the present invention additionally provides a kind of electronic equipment, including camera device and playing device, also enters one
Step includes: the noise reduction process device of the audio signal that any embodiment of the present invention is provided.
Note, above are only presently preferred embodiments of the present invention and institute's application technology principle.Those skilled in the art
It will be appreciated that the invention is not restricted to specific embodiment described here, can enter for a person skilled in the art
Row various obvious changes, readjust and substitute without departing from protection scope of the present invention.Therefore, though
So by above example, the present invention is described in further detail, but the present invention be not limited only to
Upper embodiment, without departing from the inventive concept, it is also possible to include other Equivalent embodiments more,
And the scope of the present invention is determined by scope of the appended claims.
Claims (10)
1. the noise reduction process method of an audio signal, it is characterised in that including:
Obtain the original audio signal gathered by camera device；
Obtain the feature of noise parameter of initial time period signal in described original audio signal, and described noise is special
Levy the parameter initial noise reduction parameters as the first noise reduction process algorithm, described initial time period signal is carried out noise reduction
Process；
Preserve the effective audio signal after noise reduction process.
Method the most according to claim 1, it is characterised in that: the time span etc. of described initial time period
In or more than described first noise reduction process algorithm training the period time span.
Method the most according to claim 2, it is characterised in that obtain at the beginning of in described original audio signal
The feature of noise parameter of beginning period signal includes:
Use the second noise reduction process algorithm that initial time period signal in described original audio signal is carried out noise reduction training；
The feature of noise parameter of described initial time period signal is obtained when training convergence.
Method the most according to claim 3, it is characterised in that using described feature of noise parameter as
The initial noise reduction parameters of one noise reduction process algorithm, carries out noise reduction process to described initial time period signal and includes:
Using described feature of noise parameter as the initial noise reduction parameters of the first noise reduction process algorithm, from described original
The head of audio signal proceeds by noise reduction process；
Wherein, described first noise reduction process algorithm is identical with described second noise reduction process algorithm.
Method the most according to claim 2, it is characterised in that obtain at the beginning of in described original audio signal
The feature of noise parameter of beginning period signal, and using described feature of noise parameter as the first noise reduction process algorithm
Initial noise reduction parameters, carries out noise reduction process to described initial time period signal and includes:
Initial time period signal is obtained from described original audio signal；
Before described initial time period signal replication is superimposed to the head of described original audio signal, as preposition
Period signal；
Use described first noise reduction process algorithm, proceed by noise reduction training from described preposition period signal, from
And obtain the described feature of noise parameter after training convergence；
Use described first noise reduction process algorithm, continue described preposition period signal and institute after training convergence
The initial time period signal stating original audio signal carries out noise reduction process；
Audio signal after noise reduction process amputates described preposition period signal.
6. the noise reduction process device of an audio signal, it is characterised in that including:
Primary signal acquisition module, for obtaining the original audio signal gathered by camera device；
Noise identification and noise reduction module, obtain the feature of noise of initial time period signal in described original audio signal
Parameter, and using described feature of noise parameter as the initial noise reduction parameters of the first noise reduction process algorithm, to described
Initial time period signal carries out noise reduction process；
Useful signal preserves module, the effective audio signal after preserving noise reduction process.
Device the most according to claim 6, it is characterised in that: the time span etc. of described initial time period
In or more than described first noise reduction process algorithm training the period time span.
Device the most according to claim 7, it is characterised in that described noise identification and noise reduction module bag
Include noise recognition unit and noise reduction unit, wherein,
Described noise recognition unit specifically for:
Use the second noise reduction process algorithm that initial time period signal in described original audio signal is carried out noise reduction training；
The feature of noise parameter of described initial time period signal is obtained when training convergence；
Described noise reduction unit specifically for:
Using described feature of noise parameter as the initial noise reduction parameters of the first noise reduction process algorithm, from described original
The head of audio signal proceeds by noise reduction process；Wherein, described first noise reduction process algorithm and described second
Noise reduction process algorithm is identical.
Device the most according to claim 7, it is characterised in that described noise identification and noise reduction module bag
Include:
Initial signal acquiring unit, for obtaining initial time period signal from described original audio signal；
Head replicates superpositing unit, for described initial time period signal replication is superimposed to described original audio letter
Number head before, as preposition period signal；
Preposition period training unit, is used for using described first noise reduction process algorithm, believes from the described preposition period
Number proceed by noise reduction training, thus obtain the described feature of noise parameter after training convergence；
Following sessions noise reduction unit, is used for using described first noise reduction process algorithm, continues after training convergence
The initial time period signal of described preposition period signal and described original audio signal is carried out noise reduction process；
Amputation of preposition period unit, amputates letter of described preposition period for the audio signal after noise reduction process
Number.
10. an electronic equipment, including camera device and playing device, it is characterised in that also include: power
Profit requires the noise reduction process device of the arbitrary described audio signal of 6-9.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108133712A (en) * | 2016-11-30 | 2018-06-08 | 华为技术有限公司 | A kind of method and apparatus for handling audio data |
| WO2020051769A1 (en) * | 2018-09-11 | 2020-03-19 | 深圳市汇顶科技股份有限公司 | Active noise cancelling method and headset |
| CN114038488A (en) * | 2021-11-02 | 2022-02-11 | 维沃移动通信有限公司 | Method and device for acquiring and playing multimedia information and electronic equipment |
| CN114615599A (en) * | 2022-03-11 | 2022-06-10 | 游密科技(深圳)有限公司 | Audio processing method, apparatus, computer device, storage medium, and program product |
| CN114664322A (en) * | 2022-05-23 | 2022-06-24 | 深圳市听多多科技有限公司 | Single-microphone hearing-aid noise reduction method based on Bluetooth headset chip and Bluetooth headset |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101819635A (en) * | 2010-04-02 | 2010-09-01 | 北京大学软件与微电子学院无锡产学研合作教育基地 | Micro-inertial navigation signal and mode recognition-based sign language interpretation method |
| CN102132271A (en) * | 2008-01-29 | 2011-07-20 | 高通股份有限公司 | Sparse sampling of signal innovations |
| EP2530673B1 (en) * | 2011-06-01 | 2013-07-10 | Parrot | Audio device with suppression of noise in a voice signal using a fractional delay filter |
| CN104144328A (en) * | 2014-07-31 | 2014-11-12 | 中国人民解放军63908部队 | Intelligent video monitoring method |
| CN104217728A (en) * | 2014-09-09 | 2014-12-17 | 联想(北京)有限公司 | Audio processing method and electronic device |
-
2015
- 2015-04-08 CN CN201510164530.4A patent/CN106157963B/en not_active Expired - Fee Related
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102132271A (en) * | 2008-01-29 | 2011-07-20 | 高通股份有限公司 | Sparse sampling of signal innovations |
| CN101819635A (en) * | 2010-04-02 | 2010-09-01 | 北京大学软件与微电子学院无锡产学研合作教育基地 | Micro-inertial navigation signal and mode recognition-based sign language interpretation method |
| EP2530673B1 (en) * | 2011-06-01 | 2013-07-10 | Parrot | Audio device with suppression of noise in a voice signal using a fractional delay filter |
| CN104144328A (en) * | 2014-07-31 | 2014-11-12 | 中国人民解放军63908部队 | Intelligent video monitoring method |
| CN104217728A (en) * | 2014-09-09 | 2014-12-17 | 联想(北京)有限公司 | Audio processing method and electronic device |
Non-Patent Citations (1)
| Title |
|---|
| 钱博 等: "基于背景噪声估计的说话人识别算法", 《计算机工程》 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108133712A (en) * | 2016-11-30 | 2018-06-08 | 华为技术有限公司 | A kind of method and apparatus for handling audio data |
| WO2020051769A1 (en) * | 2018-09-11 | 2020-03-19 | 深圳市汇顶科技股份有限公司 | Active noise cancelling method and headset |
| CN114038488A (en) * | 2021-11-02 | 2022-02-11 | 维沃移动通信有限公司 | Method and device for acquiring and playing multimedia information and electronic equipment |
| CN114615599A (en) * | 2022-03-11 | 2022-06-10 | 游密科技(深圳)有限公司 | Audio processing method, apparatus, computer device, storage medium, and program product |
| CN114664322A (en) * | 2022-05-23 | 2022-06-24 | 深圳市听多多科技有限公司 | Single-microphone hearing-aid noise reduction method based on Bluetooth headset chip and Bluetooth headset |
| US11871183B2 (en) | 2022-05-23 | 2024-01-09 | Shenzhen Tingduoduo Technology Co., Ltd. | Single microphone hearing aid noise reduction method based on bluetooth headset chip and bluetooth headset |
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