CN107180642A - Audio signal bearing calibration, device and equipment - Google Patents
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- CN107180642A CN107180642A CN201710596400.7A CN201710596400A CN107180642A CN 107180642 A CN107180642 A CN 107180642A CN 201710596400 A CN201710596400 A CN 201710596400A CN 107180642 A CN107180642 A CN 107180642A
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- G—PHYSICS
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- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L21/00—Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
- G10L21/003—Changing voice quality, e.g. pitch or formants
- G10L21/007—Changing voice quality, e.g. pitch or formants characterised by the process used
- G10L21/01—Correction of time axis
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L21/00—Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
- G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
- G10L21/0208—Noise filtering
- G10L21/0216—Noise filtering characterised by the method used for estimating noise
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- G10—MUSICAL INSTRUMENTS; ACOUSTICS
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- G10L21/00—Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
- G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
- G10L21/0316—Speech enhancement, e.g. noise reduction or echo cancellation by changing the amplitude
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- G10L21/00—Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
- G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
- G10L21/0208—Noise filtering
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Abstract
The present invention provides a kind of audio signal bearing calibration, device and equipment, wherein, methods described includes：Obtain the multipath audio signal of microphone array collection；Wherein, the multipath audio signal includes the reference audio signal that the reference microphone is gathered, and the normal audio signals that the common microphone is gathered；Based on predetermined differences between samples parameter, the difference parameter between the normal audio signals and the reference audio signal is determined；The normal audio signals are corrected based on the difference parameter, the correcting audio signals with the reference audio Signal Matching are obtained.The present invention can largely eliminate the difference between the audio signal of each road microphone collection, and improving subsequent voice strengthens the performance of processing links.
Description
Technical field
The present invention relates to signal processing technology field, more particularly to a kind of audio signal bearing calibration, device and equipment.
Background technology
Microphone array as a result of space filtering technology, thus with preferable noiseproof feature, interference free performance and
Anti- reverberation performance, it gradually instead of traditional single microphone, and be widely used in the technical fields such as far field voice collecting.
The subsequent voice enhancing processing links (such as auditory localization, Wave beam forming) of microphone array require that its each passage is general
Logical audio signal is mutually matched (such as amplitude and time delay matching), and speech enhan-cement performance is improved to greatest extent to realize.
But in practical application, each passage microphone often has larger decentralization, and each signal sampling channel
The characteristic of electronic component can be influenceed by external conditions such as humitures, thus cause there is larger difference between each passage, be led
Cause each passage normal audio signals to mismatch, thus have impact on the performance of subsequent voice enhancing processing links.
The content of the invention
In view of this, the present invention provides a kind of audio signal bearing calibration, device and equipment, so that microphone array is each logical
Road collection signal is mutually matched, and improving subsequent voice strengthens the performance of processing links.
In a first aspect, the embodiments of the invention provide a kind of audio signal bearing calibration, methods described is used for microphone
The audio signal of array acquisition is handled, and the microphone array includes a reference microphone, and one or more general
Logical microphone；Methods described includes：
Obtain the multipath audio signal of the microphone array collection；Wherein, the multipath audio signal includes the ginseng
Examine the reference audio signal of microphone collection, and the normal audio signals that the common microphone is gathered；
Based on predetermined differences between samples parameter, determine between the normal audio signals and the reference audio signal
Difference parameter；
The normal audio signals are corrected based on the difference parameter, obtained and the reference audio Signal Matching
Correcting audio signals.
Alternatively, the differences between samples determination method for parameter, including：
Obtain the multichannel sample audio signal of the sample sound source of the microphone array collection；Wherein, the multichannel sample
The reference sample audio signal that audio signal is gathered including the reference microphone, and common microphone collection are common
Sample audio signal；
The common sample audio signal Zhong Ge roads sample audio signal and the reference sample audio signal are determined respectively
Differences between samples parameter.
Alternatively, it is described to determine the common common sample audio signal in sample audio signal Zhong Ge roads and the ginseng respectively
The differences between samples parameter of sample audio signal is examined, including：
Calculate the mean-square value of the reference sample audio signal；
Calculate the mean-square value of the common sample audio signal；
Calculate the cross-correlation function of the reference sample audio signal and each common sample audio signal in road；
Interpolation arithmetic is carried out to the cross-correlation function, interpolation cross-correlation function is obtained；
According to the mean-square value of the reference sample audio signal, the mean-square value of the common sample audio signal and it is described insert
Value cross-correlation function determines the differences between samples of the common sample audio signal in each road and the reference sample audio signal respectively
Parameter.
Alternatively, institute's differences between samples parameter includes time delay value；
The mean-square value, the mean-square value of the common sample audio signal and institute according to the reference sample audio signal
State the sample that interpolation cross-correlation function determines the common sample audio signal in each road and the reference sample audio signal respectively
Difference parameter, including：
The common sample audio signal in each road and the reference sample are determined according to the interpolation cross-correlation function respectively
The apparent time delay value of audio signal；
The transmission path delay of the common sample audio signal in each road and the reference sample audio signal is determined respectively
Difference；
The common sample audio in each road is not calculated according to the apparent time delay value and the transmission path delay difference to believe
Time delay value number with the reference sample audio signal.
Alternatively, the biography that the common sample audio signal in each road and the reference sample audio signal are determined respectively
The defeated path delay of time is poor, including：
Using the reference microphone as the origin of coordinates, three-dimensional cartesian coordinate system is set up；
According to the coordinate of the sample sound source, and the distance between the sample sound source and the origin of coordinates determination sound
Source direction vector；Wherein, the coordinate of the sample sound source is that the sample sound source is corresponding in the three-dimensional cartesian coordinate system
Coordinate；
The common sample in each road is determined according to the respective coordinate of the common microphone and the Sounnd source direction vector respectively
The transmission path delay of this audio signal and the reference sample audio signal is poor；Wherein, the common microphone is respective sits
It is designated as the common microphone each self-corresponding coordinate in the three-dimensional cartesian coordinate system.
Alternatively, it is described to be based on predetermined differences between samples parameter, determine the normal audio signals and the reference
Difference parameter between audio signal, including：
By the time delay value of each common sample audio signal in road and the reference sample audio signal, each road is used as
The time delay value of normal audio signals and the reference audio signal；
It is described that the normal audio signals are corrected based on the difference parameter, including：
It is common to each road respectively according to each road normal audio signals and the time delay value of the reference audio signal
Audio signal is filtered delay computing.
Alternatively, institute's differences between samples parameter includes amplitude ratio；
The mean-square value, the mean-square value of the common sample audio signal and institute according to the reference sample audio signal
State the sample that interpolation cross-correlation function determines the common sample audio signal in each road and the reference sample audio signal respectively
Difference parameter, including：
Respectively according to the square of the mean-square value of each common sample audio signal in road and the reference sample audio signal
The ratio of value, determines the amplitude ratio of the common sample audio signal in each road and the reference sample audio signal.
Alternatively, it is described to be based on predetermined differences between samples parameter, determine the normal audio signals and the reference
Difference parameter between audio signal, including：
By the amplitude ratio of each common sample audio signal in road and the reference sample audio signal, as described each
The amplitude ratio of road normal audio signals and the reference audio signal；
It is described that the normal audio signals are corrected based on the difference parameter, including：
Respectively according to each road normal audio signals and the amplitude ratio of the reference audio signal, and each road
Normal audio signals carry out division operation.
Second aspect, the embodiments of the invention provide a kind of audio signal means for correcting, described device is used for microphone
The audio signal of array acquisition is handled, and the microphone array includes a reference microphone, and one or more general
Logical microphone；Described device includes：
Signal acquisition module, the multipath audio signal for obtaining the microphone array collection；Wherein, the multichannel sound
Frequency signal includes the reference audio signal that the reference microphone is gathered, and the ordinary audio of common microphone collection is believed
Number；
Parameter determination module, for based on predetermined differences between samples parameter, determining the normal audio signals and institute
State the difference parameter between reference audio signal；
Signal-corecting module, for being corrected based on the difference parameter to the normal audio signals, is obtained and institute
State the correcting audio signals of reference audio Signal Matching.
The third aspect, the embodiments of the invention provide a kind of electronic equipment, the electronic equipment is used for microphone array
The audio signal of collection is handled, and the microphone array includes a reference microphone, and one or more common wheats
Gram wind；The electronic equipment includes：
Processor；
It is configured as storing the memory of processor-executable instruction；
Wherein, the processor is configured as：
Obtain the multipath audio signal of the microphone array collection；Wherein, the multipath audio signal includes the ginseng
Examine the reference audio signal of microphone collection, and the normal audio signals that the common microphone is gathered；
Based on predetermined differences between samples parameter, determine between the normal audio signals and the reference audio signal
Difference parameter；
The normal audio signals are corrected based on the difference parameter, obtained and the reference audio Signal Matching
Correcting audio signals.
Fourth aspect, the embodiments of the invention provide a kind of computer-readable recording medium, the storage medium is used for pair
The audio signal of microphone array collection is handled, and the microphone array includes reference microphone, and one or
Multiple common microphones；Be stored with computer program on the storage medium, and the program is realized when being processed by the processor：
Obtain the multipath audio signal of the microphone array collection；Wherein, the multipath audio signal includes the ginseng
Examine the reference audio signal of microphone collection, and the normal audio signals that the common microphone is gathered；
Based on predetermined differences between samples parameter, determine between the normal audio signals and the reference audio signal
Difference parameter；
The normal audio signals are corrected based on the difference parameter, obtained and the reference audio Signal Matching
Correcting audio signals.
As shown from the above technical solution, the present invention is provided audio signal bearing calibration, device and equipment, by obtaining wheat
The multipath audio signal of gram wind array acquisition, and normal audio signals and reference are determined based on predetermined differences between samples parameter
Difference parameter between audio signal, and then normal audio signals are corrected based on difference parameter, obtain and reference audio
The correcting audio signals of Signal Matching, can largely eliminate the difference between the audio signal of each road microphone collection,
Improving subsequent voice strengthens the performance of processing links.
Brief description of the drawings
Fig. 1 is a kind of flow chart of audio signal bearing calibration embodiment of the invention；
Fig. 2 is present invention determine that the flow chart of differences between samples parameter embodiment；
Fig. 3 is present invention determine that the differences between samples parameter of the common sample audio signal in each road and reference sample audio signal is real
Apply the flow chart of example；
Fig. 4 A are the flow charts of another audio signal bearing calibration embodiment of the invention；
Fig. 4 B are the arrangement of three-dimensional microphone array and the schematic diagrames of sound source position embodiment of the present invention；
Fig. 5 is a kind of structured flowchart of audio signal means for correcting embodiment of the invention；
Fig. 6 is the structured flowchart of another audio signal means for correcting embodiment of the invention；
Fig. 7 is the structured flowchart of a kind of electronic equipment embodiment of the present invention.
Embodiment
In order to facilitate the understanding of the purposes, features and advantages of the present invention, it is below in conjunction with the accompanying drawings and specific real
Applying mode, the present invention is further detailed explanation.
It is the purpose only merely for description specific embodiment in term used in this application, and is not intended to be limiting the application.
" one kind ", " described " and "the" of singulative used in the application and appended claims are also intended to including majority
Form, unless context clearly shows that its ordinary meaning.It is also understood that term "and/or" used herein refers to and wrapped
It may be combined containing one or more associated any or all of project listed.
It will be appreciated that though various information may be described using term first, second, third, etc. in this application, but
These information should not necessarily be limited by these terms.These terms are only used for same type of information being distinguished from each other out.For example, not taking off
In the case of the application scope, the first information can also be referred to as the second information, similarly, and the second information can also be referred to as
The first information.Depending on linguistic context, word as used in this " if " can be construed to " ... when " or " when ...
When " or " in response to determining ".
Fig. 1 is a kind of flow chart of audio signal bearing calibration embodiment of the invention.This method is used for microphone array
The audio signal of collection is handled, and the microphone array includes a reference microphone, and one or more common wheats
Gram wind.As shown in figure 1, this method comprises the following steps S11-S13：
S11：Obtain the multipath audio signal of the microphone array collection；
Wherein, the multipath audio signal includes the reference audio signal that the reference microphone is gathered, and described general
The normal audio signals of logical microphone collection；
In an optional embodiment, microphone array can be made up of two or more microphone, and be appointed in three dimensions
Meaning is arranged as three-dimensional battle array.Wherein, two dimensional surface battle array and one dimensional linear array are considered as the special shape of the three-dimensional battle array.
In an optional embodiment, the audio signal of above-mentioned microphone array collection is by the number after analog to digital conversion
Word audio signal.
In an optional embodiment, reference microphone can be any road microphone in microphone array, for example may be used
To be used as reference microphone using the microphone nearest from microphone array center.
In an optional embodiment, above-mentioned microphone array can gather target environment or target sound according to actual needs
The audio signal in source, the embodiment of the present invention is to this without limiting.
S12：Based on predetermined differences between samples parameter, the normal audio signals and the reference audio signal are determined
Between difference parameter；
In an optional embodiment, above-mentioned differences between samples parameter is many according to what is gathered before above-mentioned microphone array
The parameter that road sample audio signal is determined.
In an optional embodiment, above-mentioned differences between samples ginseng can be determined according to the method for following embodiment illustrated in fig. 2
Number, is not described in detail first herein.
S13：The normal audio signals are corrected based on the difference parameter, obtained and the reference audio signal
The correcting audio signals of matching.
In an optional embodiment, according to the difference between the normal audio signals of above-mentioned determination and reference audio signal
Above-mentioned normal audio signals can be corrected by parameter, so that normal audio signals and reference audio signal phase after correction
Matching.
As shown from the above technical solution, the audio signal bearing calibration that the present invention is provided, is adopted by obtaining microphone array
The multipath audio signal of collection, and based on predetermined differences between samples parameter determine normal audio signals and reference audio signal it
Between difference parameter, and then normal audio signals are corrected based on difference parameter, obtained and reference audio Signal Matching
Correcting audio signals, can largely eliminate the difference between the audio signal of each road microphone collection, improve follow-up language
Sound strengthens the performance of processing links.
Fig. 2 is present invention determine that the flow chart of differences between samples parameter embodiment；The present embodiment is on the basis of above-described embodiment
On, it is illustrative exemplified by how determining differences between samples parameter.As shown in Fig. 2 the determination of above-mentioned differences between samples parameter
Method, may comprise steps of S21-S22：
S21：Obtain the multichannel sample audio signal of the sample sound source of the microphone array collection；
Wherein, the multichannel sample audio signal bags include the reference sample audio signal of the reference microphone collection, with
And the common sample audio signal of the common microphone collection；
In an optional embodiment, the sample sound source can be arranged at the fixed position in space.Wherein, sample sound
Source refers at least one sound source positioned at same position, and is not to limit sound source number.
In an optional embodiment, during by the audio signal of microphone array collecting sample sound source, the sample can be made
Sound source is directed at the center of microphone array, to ensure the quality of audio signal sample.
In an optional embodiment, the sound of microphone array collecting sample sound source can be passed through in preset time period
Frequency signal, the preset time can freely be set, for example, could be arranged to be more than 1 second.
S22：The common sample audio signal Zhong Ge roads sample audio signal and the reference sample audio are determined respectively
The differences between samples parameter of signal.
As shown from the above technical solution, the present embodiment is by obtaining the multichannel of the sample sound source that the microphone array is gathered
Sample audio signal, and the common sample audio signal Zhong Ge roads sample audio signal and the reference sample sound are determined respectively
The differences between samples parameter of frequency signal, can accurately determine differences between samples parameter, and then can determine the normal audio signals
It is the difference between the audio signal for subsequently eliminating each road microphone collection with the difference parameter between the reference audio signal
Foundation is provided, improving subsequent voice strengthens the performance of processing links.
Fig. 3 is present invention determine that the differences between samples parameter of the common sample audio signal in each road and reference sample audio signal is real
Apply the flow chart of example；The present embodiment is on the basis of above-described embodiment, how to determine the common sample audio signal in each road and ginseng
Examine illustrative exemplified by the differences between samples parameter of sample audio signal.As shown in figure 3, institute is determined in step S22 respectively
The differences between samples parameter of the common common sample audio signal in sample audio signal Zhong Ge roads and the reference sample audio signal is stated,
Step S31-S34 can be included：
S31：The mean-square value of the reference sample audio signal is calculated, and calculates the common sample audio signal in each road
Mean-square value；In an optional embodiment, if the M roads sample audio signal of microphone array collection is sk(n), k=1,2 ...
M, if the reference sample audio signal wherein gathered by reference microphone is sr(n) reference sample audio signal s, is then calculatedr(n)
Mean-square value Rrr(0)=E { sr(n)sr(n) the kth common sample audio signal s in road }, is calculatedk(n) mean-square value Rkk(0)=E { sk
(n)sk(n)}。
S32：Calculate the cross-correlation function of the reference sample audio signal and each common sample audio signal in road；
In an optional embodiment, reference sample audio signal s is calculated according to below equationr(n) with kth road microphone
The sample audio signal s of collectionk(n) cross-correlation function：
Rrk(τ)=E { sr(n)sk(n+ τ) }, τ=..., 0,1,2,3 ...； (1.1)
S33：Interpolation arithmetic is carried out according to the cross-correlation function, interpolation cross-correlation function is obtained；
In an optional embodiment, if the maximum of points of note cross-correlation function is：I=argmax { Rrk(τ) }, then can be
[i-0.5, i+0.5] interval is to cross-correlation function Rrk(τ) enters row interpolation, obtains interpolation cross-correlation function：
Rrk(η)=Rrk(i+t)=Rrk(τ)·sinc(i+t-τ), (1.2)
Wherein, inner product operation is represented in -0.5≤t≤0.5, formula；
S34：According to the mean-square value of the reference sample audio signal, the mean-square value of each common sample audio signal in road
And the interpolation cross-correlation function determines the common sample audio signal in each road and the reference sample audio signal respectively
Differences between samples parameter.
In an optional embodiment, above-mentioned differences between samples parameter can include time delay value；
Correspondingly, step S34 can include step S41-S42：
S41：The common sample audio signal in each road and the reference are determined according to the interpolation cross-correlation function respectively
The apparent time delay value of sample audio signal；
, can be by interpolation cross-correlation function R in an optional embodimentrkThe corresponding time delay value of maximum of points of (η) is made
For sk(n) relative to sr(n) apparent time delay value D (k)=argmax { Rrk(η)}。
It should be noted that the apparent time delay value can refer to the time delay value directly calculated from the audio signal of collection,
Without considering the path delay of time.
S42：The transmission path of the common sample audio signal in each road and the reference sample audio signal is determined respectively
Delay inequality.
In an optional embodiment, this step S42 may comprise steps of S421-S424：
S421：Using the reference microphone as the origin of coordinates, three-dimensional cartesian coordinate system is set up；
S422：The distance between according to the coordinate of the sample sound source, and the sample sound source and the origin of coordinates
Determine Sounnd source direction vector；Wherein, the coordinate of the sample sound source is the sample sound source in the three-dimensional cartesian coordinate system
Corresponding coordinate；
S423：Determine that each road is general respectively according to the respective coordinate of the common microphone and the Sounnd source direction vector
The transmission path delay of logical sample audio signal and the reference sample audio signal is poor；Wherein, the common microphone is each
Coordinate be the common microphone each self-corresponding coordinate in the three-dimensional cartesian coordinate system.
In an optional embodiment, if kth road microphone coordinate position is (xk,yk,zk), sound source position coordinate for (X,
Y, Z), then kth road microphone is calculated according to below equation (1.3) poor relative to the transmission path delay of reference microphone：
L (k)=- (xk×X+yk×Y+zk×Z)/(X×X+Y×Y+Z×Z)0.5； (1.3)
S424：The common sample sound in each road is not calculated according to the apparent time delay value and the transmission path delay difference
Frequency signal and the time delay value of the reference sample audio signal.
In an optional embodiment, apparent time delay value D (k) is subtracted into transmission path delay difference L (k) and obtains sk(n) phase
For sr(n) time delay value：
D (k)=D (k)-L (k)； (1.4)
On the basis of above-described embodiment, predetermined differences between samples parameter is based in step S12, is determined described common
Difference parameter between audio signal and the reference audio signal, can include：
By the time delay value of each common sample audio signal in road and the reference sample audio signal, each road is used as
The time delay value of normal audio signals and the reference audio signal；
Correspondingly, the normal audio signals are corrected based on the difference parameter in step S13, can included：
It is common to each road respectively according to each road normal audio signals and the time delay value of the reference audio signal
Audio signal is filtered delay computing.
In an optional embodiment, by kth road (k=1,2 ... M) audio signal sk1(n) carried out with sinc (n+d (k))
Convolution algorithm, so that sk1(n) delay-d (k), realizes the time delay for compensating the kth road signal.
In an optional embodiment, institute's differences between samples parameter can include amplitude ratio；
Correspondingly, step S34 can also include：
Respectively according to the square of the mean-square value of each common sample audio signal in road and the reference sample audio signal
The ratio of value, determines the amplitude ratio of the common sample audio signal in each road and the reference sample audio signal.
In an optional embodiment, by sk(n) mean-square value divided by sr(n) then open radical sign obtains s to mean-square valuek(n)
Relative to sr(n) amplitude ratio：
A (k)=(Rkk(0)/Rrr(0))0.5； (1.5)
On this basis, in step S12 be based on predetermined differences between samples parameter, determine the normal audio signals with
Difference parameter between the reference audio signal, can include：
By the amplitude ratio of each common sample audio signal in road and the reference sample audio signal, as described each
The amplitude ratio of road normal audio signals and the reference audio signal.Correspondingly, the difference parameter pair is based in step S13
The normal audio signals are corrected, and can be included：
Respectively according to each road normal audio signals and the amplitude ratio of the reference audio signal, and each road
Normal audio signals carry out division operation.
In an optional embodiment, by delay Houk road (k=1,2 ... M) audio signals divided by a (k), to compensate
The amplitude of the road signal.
In an optional embodiment, correction signal of the M roads after time delay and Amplitude Compensation can be exported to outside
System.
As shown from the above technical solution, the audio signal bearing calibration that the present invention is provided, based on predetermined sample difference
Different parameter determines the difference parameter between normal audio signals and reference audio signal, and ordinary audio is believed based on difference parameter
Number it is corrected, obtains the correcting audio signals with reference audio Signal Matching, can largely eliminate each road microphone
Difference between the audio signal of collection, improving subsequent voice strengthens the performance of processing links.
For foregoing each method embodiment, in order to be briefly described, therefore it is all expressed as to a series of combination of actions, but
It is that those skilled in the art should know, the present invention is not limited by described sequence of movement, because according to the present invention, certain
A little steps can use plain sequence or carry out simultaneously.
Secondly, those skilled in the art should also know, embodiment described in this description belongs to alternative embodiment,
Necessary to involved action and the module not necessarily present invention.
The present invention is illustrated with a specific embodiment below, but is not used in limitation the scope of the present invention.
Fig. 4 A are the flow charts of another audio signal bearing calibration embodiment of the invention；As shown in Figure 4 A, this method bag
Include：
A1：Pass through the sample audio signal of microphone array collecting sample sound source.
In an optional embodiment, step A1 may comprise steps of A11-A12：
A11：In preset time period, pass through the audio signal of microphone array collecting sample sound source.
Wherein, the sample sound source can be arranged at the fixed position in space.
In an optional embodiment, sample sound source refers at least one sound source positioned at same position, and is not
Limit sound source number.
In an optional embodiment, microphone array can be made up of two or more microphone, and be appointed in three dimensions
Meaning is arranged as three-dimensional battle array.Wherein, two dimensional surface battle array and one dimensional linear array are considered as the special shape of the three-dimensional battle array.
In an optional embodiment, when gathering audio signal by microphone array, the sample sound source can be made to be directed at wheat
The center of gram wind array, to ensure the quality of audio signal sample.
In an optional embodiment, above-mentioned preset time can freely be set, for example, could be arranged to be more than 1 second.
A12：The microphone all the way chosen in microphone array is used as reference microphone.
In an optional embodiment, reference microphone can be any road microphone in microphone array, for example may be used
To use the microphone nearest from microphone array center as reference microphone, and the signal gathered using reference microphone
It is used as reference sample audio signal.
For example, Fig. 4 B are the arrangement of three-dimensional microphone array and the schematic diagrames of sound source position embodiment of the present invention.Such as
Shown in Fig. 4 B, the microphone array includes M microphone, chooses and is located at the microphone at microphone array center as referring to Mike
Wind, microphone array center is directed at by sample sound source, and the sound source position coordinate is (X, Y, Z).On this basis, if M roads Mike
The sample audio signal of the sample sound source of wind array acquisition is sk(n), k=1,2 ... M, if wherein gathered by reference microphone
The reference sample audio signal of sample sound source is sr(n), if kth road microphone coordinate position is (xk,yk,zk)。
A2：Calculate amplitude ratio between the sample audio signal and reference sample audio signal of multichannel microphone collection and
Two kinds of correction parameters of time delay value.
In an optional embodiment, step A2 may comprise steps of A21-A29：
A21：Calculate reference sample audio signal sr(n) mean-square value Rrr(0)=E { sr(n)sr(n)}；
A22：Calculate reference sample audio signal sr(n) with the sample audio signal s of kth road microphone collectionk(n) mutual
Correlation function：
Rrk(τ)=E { sr(n)sk(n+ τ) }, τ=..., 0,1,2,3 ...； (2.1)
A23：Remember i=argmax { Rrk(τ) }, in [i-0.5, i+0.5] interval to cross-correlation function Rrk(τ) enters row interpolation,
Obtain interpolation cross-correlation function：
Rrk(η)=Rrk(i+t)=Rrk(τ) sinc (i+t- τ), (2.2)
Wherein, inner product operation is represented in -0.5≤t≤0.5, formula；
A24：By RrkThe corresponding time delay value of maximum of points of (η) is used as sk(n) relative to sr(n) apparent time delay value D (k)
=argmax { Rrk(η)}；
Wherein, apparent time delay value refers to the time delay value directly calculated from the audio signal of collection, without considering path
Time delay.
A25：Calculate kth road microphone poor relative to the transmission path delay of reference microphone：
L (k)=- (xk×X+yk×Y+zk×Z)/(X×X+Y×Y+Z×Z)0.5； (2.3)
A26：D (k) is subtracted into L (k) and obtains sk(n) relative to sr(n) time delay value：
D (k)=D (k)-L (k)； (2.4)
A27：Calculate kth road normal audio signals sk(n) mean-square value：
Rkk(0)=E { sk(n)sk(n)}； (2.5)
A28：By sk(n) mean-square value divided by sr(n) then open radical sign obtains s to mean-square valuek(n) relative to sr(n) width
Spend ratio：
A (k)=(Rkk(0)/Rrr(0))0.5； (2.6)
A29：Export M road amplitude ratio a (k), k=1,2,3 ..., M and time delay value d (k), k=1,2,3 ..., M, two kinds of schools
Positive parameter.
A3：Store M road amplitude ratio a (k) and two kinds of correction parameters of time delay value d (k).
In an optional embodiment, by the M road amplitude ratio a (k) exported in step S29 and two kinds of schools of time delay value d (k)
Positive parameter storage is into nonvolatile memory.
In an optional embodiment, can according to subsequent read instruction from the memory read the amplitude ratio a (k) and
Two kinds of correction parameters of time delay value d (k).
A4：According to the above-mentioned M road amplitude ratio a (k) of reading and two kinds of correction parameters of time delay value d (k), to passing through above-mentioned wheat
The multipath audio signal of the target sound source of gram wind array acquisition enters line amplitude and time delay adjustment.
In an optional embodiment, step A4 can include：
A41：The multipath audio signal of target sound source is gathered by above-mentioned microphone array.
In an optional embodiment, if the audio signal of the target sound source of M roads microphone array collection is sk1(n), its
In, k=1,2 ... M, if the audio signal of the target sound source wherein gathered by reference microphone is reference audio signal sr1
(n)。
A42：By kth road (k=1,2 ... M) audio signal sk1(n) convolution algorithm is carried out with sinc (n+d (k)), so that
sk1(n) delay-d (k), realizes the time delay for compensating the kth road signal；
A43：Houk road (k=1,2 ... M) audio signals divided by a (k) will be postponed, to compensate the amplitude of the road signal；
A5：Correction signal after time delay and Amplitude Compensation is exported to external system.
The audio signal bearing calibration of the present embodiment, is believed by the multichannel sample audio of microphone array collecting sample sound source
Number, and calculate two kinds of correction parameters of the amplitude ratio between reference sample audio signal and each road audio signal and time delay value,
And then after the multipath audio signal of target sound source is gathered by microphone array, based on the amplitude ratio calculated and time delay value
Two kinds of correction parameters, line amplitude and time delay adjustment are entered to the multipath audio signal of collection respectively, obtain multichannel by time delay and width
The correction signal of compensation is spent, the difference between the audio signal of each road microphone collection can be largely eliminated, after raising
The performance of continuous speech enhan-cement processing links.
Fig. 5 is a kind of structured flowchart of audio signal means for correcting embodiment of the invention；Described device is used for microphone
The audio signal of array acquisition is handled, and the microphone array includes a reference microphone, and one or more general
Logical microphone；As shown in figure 5, the device includes signal acquisition module 410, parameter determination module 420 and signal-corecting module
430, wherein：
Signal acquisition module 410, the multipath audio signal for obtaining the microphone array collection；Wherein, it is described many
Road audio signal includes the reference audio signal that the reference microphone is gathered, and the common sound that the common microphone is gathered
Frequency signal；
Parameter determination module 420, for based on predetermined differences between samples parameter, determine the normal audio signals with
Difference parameter between the reference audio signal；
Signal-corecting module 430, for being corrected based on the difference parameter to the normal audio signals, obtain with
The correcting audio signals of the reference audio Signal Matching.
As shown from the above technical solution, the audio signal means for correcting that the present invention is provided, is adopted by obtaining microphone array
The multipath audio signal of collection, and based on predetermined differences between samples parameter determine normal audio signals and reference audio signal it
Between difference parameter, and then normal audio signals are corrected based on difference parameter, obtained and reference audio Signal Matching
Correcting audio signals, can largely eliminate the difference between the audio signal of each road microphone collection, improve follow-up language
Sound strengthens the performance of processing links.
Fig. 6 is the structured flowchart of another audio signal means for correcting embodiment of the invention；Wherein, signal acquisition module
510th, parameter determination module 520 and signal-corecting module 530 and the signal acquisition module 410 in embodiment illustrated in fig. 5, parameter
Determining module 420 and the function phase of signal-corecting module 430 are same, herein without repeating.As shown in fig. 6, in above-mentioned implementation
On the basis of example, the device can also include：
Sample signal acquisition module 540, the multichannel sample sound of the sample sound source for obtaining the microphone array collection
Frequency signal；Wherein, the multichannel sample audio signal bags include the reference sample audio signal of the reference microphone collection, and
The common sample audio signal of the common microphone collection；
Differences between samples determining module 550, for determining the common sample audio signal Zhong Ge roads sample audio letter respectively
Differences between samples parameter number with the reference sample audio signal.
In an optional embodiment, differences between samples determining module 550 can include：
Mean-square calculation unit 551, the mean-square value for calculating the reference sample audio signal；
Correlation function determining unit 552, described in being determined respectively according to the mean-square value of the reference sample audio signal
The cross-correlation function of reference sample audio signal and each common sample audio signal in road；
Interpolating function determining unit 553, for carrying out interpolation arithmetic according to the cross-correlation function, obtains interpolation cross-correlation
Function；
Difference parameter determining unit 554, it is common for the mean-square value according to the reference sample audio signal, each road
The mean-square value of sample audio signal and the interpolation cross-correlation function determine the common sample audio signal in each road and institute respectively
State the differences between samples parameter of reference sample audio signal.It should be noted that for device embodiment, because it is substantially right
Should be in embodiment of the method, so the relevent part can refer to the partial explaination of embodiments of method, herein without repeating.
The embodiment of the signal processing apparatus of the present invention can be using on network devices.Device embodiment can be by soft
Part is realized, can also be realized by way of hardware or software and hardware combining.Exemplified by implemented in software, a logical meaning is used as
On device, be that corresponding computer program instructions are formed in the processor run memory by equipment where it.From hard
For part aspect, as shown in fig. 7, a kind of hardware structure diagram of the signal processing apparatus place equipment for the present invention, except Fig. 7 institutes
Outside the processor, network interface, internal memory and the nonvolatile memory that show, the equipment in embodiment where device generally may be used also
Including common hardware, to be such as responsible for the forwarding chip of processing message；For from hardware configuration the equipment be also possible to be point
The equipment of cloth, potentially includes multiple interface cards, to carry out the extension of Message processing in hardware view.
The embodiment of the present invention additionally provides a kind of computer-readable recording medium, and the storage medium is used for microphone array
The audio signal of row collection is handled, and the microphone array includes a reference microphone, and one or more common
Microphone；Be stored with computer program on the storage medium, it is characterised in that the program is realized when being processed by the processor：
Obtain the multipath audio signal of the microphone array collection；Wherein, the multipath audio signal includes the ginseng
Examine the reference audio signal of microphone collection, and the normal audio signals that the common microphone is gathered；
Based on predetermined differences between samples parameter, determine between the normal audio signals and the reference audio signal
Difference parameter；
The normal audio signals are corrected based on the difference parameter, obtained and the reference audio Signal Matching
Correcting audio signals.
Each embodiment in this specification is described by the way of progressive, what each embodiment was stressed be with
Between the difference of common embodiment, each embodiment identical similar part mutually referring to.For device embodiment
For, because it is substantially similar to embodiment of the method, so description is fairly simple, referring to the portion of embodiment of the method in place of correlation
Defend oneself bright.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
God is with principle, and any modification, equivalent substitution and improvements done etc. should be included within the scope of protection of the invention.
Claims (11)
1. a kind of audio signal bearing calibration, it is characterised in that methods described is used for the audio signal gathered to microphone array
Handled, the microphone array includes a reference microphone, and one or more common microphones；Methods described bag
Include：
Obtain the multipath audio signal of the microphone array collection；Wherein, the multipath audio signal includes the reference wheat
The reference audio signal of gram elegance collection, and common microphone collection normal audio signals；
Based on predetermined differences between samples parameter, the difference between the normal audio signals and the reference audio signal is determined
Different parameter；
The normal audio signals are corrected based on the difference parameter, the school with the reference audio Signal Matching is obtained
Positive audio signal.
2. according to the method described in claim 1, it is characterised in that methods described also includes：
Obtain the multichannel sample audio signal of the sample sound source of the microphone array collection；Wherein, the multichannel sample audio
Signal includes the reference sample audio signal that the reference microphone is gathered, and the common sample that the common microphone is gathered
Audio signal；
The sample of the common sample audio signal Zhong Ge roads sample audio signal and the reference sample audio signal is determined respectively
This difference parameter.
3. method according to claim 2, it is characterised in that described to determine respectively in the common sample audio signal respectively
The differences between samples parameter of the common sample audio signal in road and the reference sample audio signal, including：
Calculate the mean-square value of the reference sample audio signal；
Calculate the mean-square value of the common sample audio signal；
Calculate the cross-correlation function of the reference sample audio signal and each common sample audio signal in road；
Interpolation arithmetic is carried out to the cross-correlation function, interpolation cross-correlation function is obtained；
It is mutual according to the mean-square value of the reference sample audio signal, the mean-square value of the common sample audio signal and the interpolation
Correlation function determines the differences between samples parameter of the common sample audio signal in each road and the reference sample audio signal respectively.
4. method according to claim 3, it is characterised in that institute's differences between samples parameter includes time delay value；
It is described according to the mean-square value of the reference sample audio signal, the mean-square value of the common sample audio signal and it is described insert
Value cross-correlation function determines the differences between samples of the common sample audio signal in each road and the reference sample audio signal respectively
Parameter, including：
The common sample audio signal in each road and the reference sample audio are determined according to the interpolation cross-correlation function respectively
The apparent time delay value of signal；
Determine that the transmission path delay of the common sample audio signal in each road and the reference sample audio signal is poor respectively；
According to the apparent time delay value and the transmission path delay difference do not calculate the common sample audio signal in each road with
The time delay value of the reference sample audio signal.
5. method according to claim 4, it is characterised in that described to determine the common sample audio signal in each road respectively
Transmission path delay with the reference sample audio signal is poor, including：
Using the reference microphone as the origin of coordinates, three-dimensional cartesian coordinate system is set up；
According to the coordinate of the sample sound source, and the distance between the sample sound source and the origin of coordinates determine sound source side
To vector；Wherein, the coordinate of the sample sound source is the sample sound source corresponding coordinate in the three-dimensional cartesian coordinate system；
The common sample sound in each road is determined according to the respective coordinate of the common microphone and the Sounnd source direction vector respectively
Frequency signal and the transmission path delay of the reference sample audio signal are poor；Wherein, the respective coordinate of the common microphone is
The common microphone each self-corresponding coordinate in the three-dimensional cartesian coordinate system.
6. method according to claim 4, it is characterised in that described to be based on predetermined differences between samples parameter, it is determined that
Difference parameter between the normal audio signals and the reference audio signal, including：
It is common as each road by the time delay value of each common sample audio signal in road and the reference sample audio signal
Audio signal and the time delay value of the reference audio signal；
It is described that the normal audio signals are corrected based on the difference parameter, including：
Respectively according to each road normal audio signals and the time delay value of the reference audio signal, to each road ordinary audio
Signal is filtered delay computing.
7. method according to claim 3, it is characterised in that the differences between samples parameter includes amplitude ratio；
It is described according to the mean-square value of the reference sample audio signal, the mean-square value of the common sample audio signal and it is described insert
Value cross-correlation function determines the differences between samples of the common sample audio signal in each road and the reference sample audio signal respectively
Parameter, including：
Respectively according to the mean-square value of the mean-square value of each common sample audio signal in road and the reference sample audio signal
Ratio, determines the amplitude ratio of the common sample audio signal in each road and the reference sample audio signal.
8. method according to claim 7, it is characterised in that described to be based on predetermined differences between samples parameter, it is determined that
Difference parameter between the normal audio signals and the reference audio signal, including：
It is general as each road by the amplitude ratio of each common sample audio signal in road and the reference sample audio signal
Logical audio signal and the amplitude ratio of the reference audio signal；
It is described that the normal audio signals are corrected based on the difference parameter, including：
It is common according to each road normal audio signals and the amplitude ratio of the reference audio signal, and each road respectively
Audio signal carries out division operation.
9. a kind of audio signal means for correcting, it is characterised in that described device is used for the audio signal gathered to microphone array
Handled, the microphone array includes a reference microphone, and one or more common microphones；Described device bag
Include：
Signal acquisition module, the multipath audio signal for obtaining the microphone array collection；Wherein, the MCVF multichannel voice frequency letter
Number include the reference microphone gather reference audio signal, and the common microphone collection normal audio signals；
Parameter determination module, for based on predetermined differences between samples parameter, determining the normal audio signals and the ginseng
Examine the difference parameter between audio signal；
Signal-corecting module, for being corrected based on the difference parameter to the normal audio signals, is obtained and the ginseng
Examine the correcting audio signals of audio signals match.
10. a kind of electronic equipment, it is characterised in that the electronic equipment is used to carry out the audio signal that microphone array is gathered
Processing, the microphone array includes a reference microphone, and one or more common microphones；The electronic equipment bag
Include：
Processor；
It is configured as storing the memory of processor-executable instruction；
Wherein, the processor is configured as：
Obtain the multipath audio signal of the microphone array collection；Wherein, the multipath audio signal includes the reference wheat
The reference audio signal of gram elegance collection, and common microphone collection normal audio signals；
Based on predetermined differences between samples parameter, the difference between the normal audio signals and the reference audio signal is determined
Different parameter；
The normal audio signals are corrected based on the difference parameter, the school with the reference audio Signal Matching is obtained
Positive audio signal.
11. a kind of computer-readable recording medium, the storage medium is used to carry out the audio signal that microphone array is gathered
Processing, the microphone array includes a reference microphone, and one or more common microphones；On the storage medium
Be stored with computer program, it is characterised in that the program is realized when being processed by the processor：
Obtain the multipath audio signal of the microphone array collection；Wherein, the multipath audio signal includes the reference wheat
The reference audio signal of gram elegance collection, and common microphone collection normal audio signals；
Based on predetermined differences between samples parameter, the difference between the normal audio signals and the reference audio signal is determined
Different parameter；
The normal audio signals are corrected based on the difference parameter, the school with the reference audio Signal Matching is obtained
Positive audio signal.
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| CN111065036B (en) * | 2019-12-26 | 2021-08-31 | 北京声智科技有限公司 | Frequency response testing method and device of microphone array |
| CN112153547A (en) * | 2020-09-03 | 2020-12-29 | 海尔优家智能科技（北京）有限公司 | Audio signal correction method, audio signal correction device, storage medium and electronic device |
| CN115579015A (en) * | 2022-09-23 | 2023-01-06 | 恩平市宝讯智能科技有限公司 | Big data audio data acquisition management system and method |
| CN115579015B (en) * | 2022-09-23 | 2023-04-07 | 恩平市宝讯智能科技有限公司 | Big data audio data acquisition management system and method |
| CN115631758A (en) * | 2022-12-21 | 2023-01-20 | 无锡沐创集成电路设计有限公司 | Audio signal processing method, apparatus, device and storage medium |
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