CN109246570A - The device and method of microphone quality inspection - Google Patents
The device and method of microphone quality inspection Download PDFInfo
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- CN109246570A CN109246570A CN201810999135.1A CN201810999135A CN109246570A CN 109246570 A CN109246570 A CN 109246570A CN 201810999135 A CN201810999135 A CN 201810999135A CN 109246570 A CN109246570 A CN 109246570A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R29/00—Monitoring arrangements; Testing arrangements
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R2420/00—Details of connection covered by H04R, not provided for in its groups
- H04R2420/05—Detection of connection of loudspeakers or headphones to amplifiers
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Abstract
A kind of device and method of microphone quality inspection, which includes: matching unit, carries out matched filtering to the acquisition signal x (n) of microphone array, determines matching result zi(n)；To matching result zi(n) it is normalized, determines normalization result z ' (n)；Judging unit is calculated, the maximum value v of z ' (n) absolute value is calculatedb, i-th microphone z ' (n) absolute value maximum value vi, determine vbCorresponding microphone serial number b and t at the time of correspondenceb；If vi< th1, then the microphone array damages；If vb>=th1 and vi>=th1, to moment tbI-th of Mike's signal x lateri(n) and xb(n) cross-correlation coefficient CC is calculatedib；If CCib< th2, then i-th of microphone damage, if CCib>=th2, then the microphone is normal.Present invention introduces matched filter techniques and cross-correlation technique to carry out quality testing to microphone, ensure that the reliability of quality inspection.
Description
Technical field
The present invention relates to speech processes field more particularly to the device and methods of microphone quality inspection.
Background technique
Currently, intelligent sound hardware device is using more and more extensive, such as intelligent sound, robot.If such equipment is only
One microphone is installed, if microphone damages, equipment can not pick up correct signal, if equipment installs multiple microphones, benefit
With the Delay Estima-tion Sounnd source direction between multiple microphones, wave beam enhancing further is carried out to Sounnd source direction, reaches enhancing target
The purpose of voice raising phonetic recognization rate.Whether DOA estimation or beam-forming technology all rely between multiple Mikes
Consistency will lead to the speech enhan-cement failure of equipment, therefore equipment if there is wherein damage occur in some or several Mikes
The quality testing of upper microphone is most important.
Summary of the invention
(1) technical problems to be solved
The purpose of the present invention is to provide a kind of device and methods of microphone quality inspection, to solve at least one above-mentioned skill
Art problem.
(2) technical solution
The one side of the embodiment of the present invention, provides a kind of device of microphone quality inspection, and microphone array receives original letter
Number, and determining acquisition signal x (n), the original signal includes original swept-frequency signal c (n) and primary speech signal, the acquisition
Signal x (n) includes acquisition swept-frequency signal and acquisition voice signal, wherein the device includes:
Matching unit carries out matched filtering for the acquisition signal x (n) to microphone array, determines matching result zi
(n)；And to matching result zi(n) it is normalized, determines normalization result z ' (n), n indicates time domain sequences, and i is indicated
Microphone serial number, i >=1；
Judging unit is calculated, for calculating the maximum value v of z ' (n) absolute valueb, i-th microphone z ' (n) absolute value
Maximum value vi, determine vbCorresponding microphone serial number b and t at the time of correspondenceb；And
Carry out following judgement: if vi< th1 then prompts the microphone array to damage；If vb>=th1 and vi>=th1 is right
Moment tbI-th of Mike's signal x lateri(n) and xb(n) cross-correlation coefficient CC is calculatedib, th1 is first threshold；If CCib<
Th2 then prompts i-th of microphone damage, if CCib>=th2 then prompts the microphone normal.
In some embodiments of the invention, zi(n)=xi(n)*cflip(n), wherein matched filter coefficient cflip(n)
Reversed for the time domain of c (n), * indicates convolution algorithm；
Z ' (n)=[z ' (n) ..., zi' (n) ..., zN' (n)],
Max (abs (z ' (n))=[v, tb], wherein τ is time domain parameter, τ2-τ1For the length of matched filter, eps is
A very small value is that 0, abs indicates ABS function to prevent denominator, the maximum value of z ' (n) absolute value of microphone array
Set v=(v1..., vi..., vN, N is the number of microphone, N >=1,1≤i≤N, moment tbIn the i.e. described acquisition signal
The position that acquisition swept-frequency signal terminates, the position that the acquisition voice signal starts.
In some embodiments of the invention, judging unit is to moment tbI-th of Mike's signal x lateri(n) and xb(n)
Calculate cross-correlation coefficient CCibRefer to:
Judging unit is to acquisition signal xi(n) n=t is takenbThe time-domain signal adding window of 8192 points after+1；
Fast Fourier (fft) is carried out to the signal after adding window and transforms to frequency domain, determines frequency-region signal x (k)=[x1
(k) ..., xi(k) ..., xN(k)]；
Testing result CC is determined according to frequency-region signal, wherein CC=[CC1b.., CCib..., CCNb],
Wherein, k is frequency domain sequence, and real refers to real part.
In some embodiments of the invention, the value of the th1 and th2 is made an uproar with environment locating for the microphone array
Sound level is at inverse relationship.
The another aspect of the embodiment of the present invention additionally provides a kind of method of microphone quality inspection, comprising:
Microphone array receives original signal, and determines acquisition signal x (n), and the original signal includes original frequency sweep letter
Number c (n) and primary speech signal, the acquisition signal x (n) include acquisition swept-frequency signal and acquisition voice signal, wherein the party
Method includes:
Matched filtering is carried out to the acquisition signal x (n) of microphone array, determines matching result zi(n)；And matching is tied
Fruit zi(n) it is normalized, determines normalization result z ' (n), n indicates time domain sequences, and i indicates microphone serial number, i >=1；
Calculate the maximum value v of z ' (n) absolute valueb, i-th microphone z ' (n) absolute value maximum value vi, determine vbIt is right
The microphone serial number b answered and t at the time of correspondenceb；And
Carry out following judgement: if vi< th1 then prompts the microphone array to damage；If vb>=th1 and vi>=th1 is right
Moment tbI-th of Mike's signal x lateri(n) and xb(n) cross-correlation coefficient CC is calculatedib, th1 is first threshold；If CCib<
Th2 then prompts i-th of microphone damage, if CCib>=th2 then prompts the microphone normal.
In some embodiments of the invention, zi(n)=xi(n)*cflip(n), wherein matched filter coefficient cflip(n)
Reversed for the time domain of c (n), * indicates convolution algorithm；
Z ' (n)=[z ' (n) ..., zi' (n) ..., zN' (n)],
Max (abs (z ' (n))=[v, tb], wherein τ is time domain parameter, τ2-τ1For the length of matched filter, eps is
A very small value is that 0, abs indicates ABS function to prevent denominator, the maximum value of z ' (n) absolute value of microphone array
Set v={ v1..., vi..., vN, N is the number of microphone, N >=1,1≤i≤N, moment tbIn the i.e. described acquisition signal
The position that acquisition swept-frequency signal terminates, the position that the acquisition voice signal starts.
In some embodiments of the invention, to moment tbI-th of Mike's signal x lateri(n) and xb(n) it calculates mutual
Relationship number CCibThe following steps are included:
To acquisition signal xi(n) n=t is takenbThe time-domain signal adding window of 8192 points after+1；
Fast Fourier Transform (FFT) is carried out to frequency domain to the signal after adding window, determines frequency-region signal x (k)=[x1(k) ..., xi
(k) ..., xN(k)]；
Testing result CC is determined according to frequency-region signal, wherein CC=[CC1b.., CCib..., CCNb],
Wherein, k is frequency domain sequence, and real refers to real part.
In some embodiments of the invention, the value of the th1 and th2 is made an uproar with environment locating for the microphone array
Sound level is at inverse relationship.
(3) beneficial effect
The device and method of microphone quality inspection of the invention has at least the following advantages compared to the prior art:
1, matched filter techniques are introduced and cross-correlation technique carries out dual quality testing to microphone, ensure that quality inspection
Reliability.
2, first threshold when quality inspection and second threshold are related with the ambient noise around the microphone array, reduce ring
Interference of the border noise to microphone quality inspection.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of the device of the microphone quality inspection of the embodiment of the present invention；
Fig. 2 is the time-frequency figure of the voice signal of the embodiment of the present invention；
Fig. 3 is the chirp Signal Matching calculated result figure of normal microphone and problem microphone location signal；
Fig. 4 is the step schematic diagram of the method for the microphone quality inspection of the embodiment of the present invention.
Specific embodiment
In order to accurately carry out quality testing to microphone on speech ciphering equipment, the present invention provides a kind of microphone matter
The device and method of inspection carries out dual quality testing to microphone by introducing matched filter techniques and cross-correlation technique,
Influence of the ambient noise to quality inspection can also be reduced simultaneously, ensure that the reliability of quality inspection.
To make the objectives, technical solutions, and advantages of the present invention clearer, below in conjunction with specific embodiment, and reference
Attached drawing, the present invention is described in more detail.
The one side of the embodiment of the present invention, provides a kind of device of microphone quality inspection, and Fig. 1 is the wheat of the embodiment of the present invention
The structural schematic diagram of the device of gram wind quality inspection, as described in Figure 1, the device include: matching unit 1 and calculate judging unit 2.
Microphone array receives original signal, and determines acquisition signal x (n), and the original signal includes original frequency sweep letter
Number c (n) and primary speech signal, the acquisition signal x (n) include acquisition swept-frequency signal and acquisition voice signal.
It should be noted that the original signal can be provided by the speech ciphering equipment for carrying playing function, only needing in advance will be quasi-
The voice signal got ready is pushed to equipment, and speech ciphering equipment is recorded when broadcasting, and microphone array can collect voice signal；It can be by
It is provided without the speech ciphering equipment of playing function, needs to prepare a speaker at this time, speaker is allowed to play input signal, microphone array
Voice signal can be collected.
Referring to figure 2., original signal includes: original swept-frequency signal c (n) (8192 points, 16K, 16bit)；Raw tone letter
Number, such as ' welcome ', 8192 points, 16K, 16bit.
Matching unit 1 carries out matched filtering for the acquisition signal x (n) to microphone array, i.e., sweeps x (n) and filtering
Frequency signal cflip(n)=c (- n) carries out matching primitives, determines matching result zi(n), wherein matched filter coefficient cflip(n)
It is reversed for the time domain of c (n).
Wherein, zi(n)=xi′(n)*cflip(n), * indicates that convolution algorithm, n indicate time domain sequences, and i indicates microphone sequence
Number, i >=1.
Matching unit 1 is also to matching result zi(n) it is normalized, determines normalization result z ' (n)=[z '
(n) ..., zi' (n) ..., zN′(n)]。
Wherein,Wherein, τ is time domain parameter, τ2-τ1For
The length of matched filter, it to prevent denominator is 0 that eps, which is a very small value,.
Calculate the maximum value v that judging unit 2 is used to calculate z ' (n) absolute valueb, i-th microphone z ' (n) absolute value
Maximum value vi, determine vbCorresponding microphone serial number b and t at the time of correspondenceb。
Max (abs (z ' (n))=[v, tb], the set v={ v of the maximum value of microphone array z ' (n) absolute value1...,
vi..., vN, N is the number of microphone, N >=1,1≤i≤N, moment tbSwept-frequency signal is acquired in the i.e. described acquisition signal to be terminated
Position, the position that starts of acquisition voice signal.
It calculates judging unit 2 to be also used to carry out following judgement: if vi< th1 then prompts the microphone array to damage；If vb
>=th1 and vi>=th1, to moment tbI-th of Mike's signal x lateri(n) and xb(n) cross-correlation coefficient CC is calculatedib, th1
For first threshold；If CCib< th2 then prompts i-th of microphone damage, if CCib>=th2 then prompts the microphone normal.
It should be noted that the value of the th1 and th2 is with ambient noise level locating for the microphone array at anti-
To relationship.
Wherein, judging unit is to moment tbI-th of Mike's signal x lateri(n) and xb(n) cross-correlation coefficient CC is calculatedib
It refers mainly to:
Judging unit is to acquisition signal xi(n) n=t is takenbThe time-domain signal adding window of 8192 points after+1；
Fast Fourier Transform (FFT) is carried out to frequency domain to the signal after adding window, determines frequency-region signal x (k)=[x1(k) ..., xi
(k) ..., xN(k)]；
Testing result CC is determined according to frequency-region signal, wherein CC=[CC1b..., CCib..., CCNb],
Wherein, k is frequency domain sequence, and real refers to real part.
Fig. 3 is the chirp Signal Matching calculated result figure of normal microphone and problem microphone location signal, it is seen that normal
The matching value of microphone array is much larger than problem microphone array.
The another aspect of the embodiment of the present invention, additionally provides a kind of method of microphone quality inspection, and microphone array receives former
Beginning signal, and determine acquisition signal x (n), the original signal includes original swept-frequency signal c (n) and primary speech signal, described
Acquiring signal x (n) includes acquisition swept-frequency signal and acquisition voice signal.Referring to figure 4., method includes the following steps:
S1, matched filtering is carried out to the acquisition signal x (n) of microphone array, determines matching result zi(n)；And to
With result zi(n) it is normalized, determines normalization result z ' (n), n indicates time domain sequences, and i indicates microphone serial number, i
≥1；
S2, the maximum value v for calculating z ' (n) absolute valueb, i-th microphone z ' (n) absolute value maximum value vi, determine vb
Corresponding microphone serial number b and t at the time of correspondenceb；And
S3, following judgement is carried out: if vi< th1 then prompts the microphone array to damage；If vb>=th1 and vi>=th1,
To moment tbI-th of Mike's signal x lateri(n) and xb(n) cross-correlation coefficient CC is calculatedib, th1 is first threshold；If CCib
< th2 then prompts i-th of microphone damage, if CCib>=th2 then prompts the microphone normal.
In step sl, zi(n)=xi′(n)*cflip(n), matched filter coefficient cflip(n) anti-for the time domain of c (n)
To * indicates that convolution algorithm, n indicate time domain sequences, and i indicates microphone serial number, i >=1.
Resulting normalization result z ' (n)=[z ' (n) ..., zi' (n) ..., zN' (n)], wherein,Wherein, τ is time domain parameter, τ2-τ1For the length of matched filter
Degree, it to prevent denominator is 0 that eps, which is a very small value,.
In step s 2, pass through max (abs (z ' (n))=[v, tb] determine the maximum value v of z ' (n) absolute valueb, i-th of wheat
The maximum value v of z ' (n) absolute value of gram windi, determine vbCorresponding microphone serial number b and t at the time of correspondenceb, microphone arraySet v={ the v of the maximum value of absolute value1..., vi..., vN, number of the N for microphone, N >=1,1≤i≤N, when
Carve tbThe position that acquisition swept-frequency signal terminates in the i.e. described acquisition signal, the position that the acquisition voice signal starts.
In step s3, following judgement is carried out: if vi< thl then prompts the microphone array to damage；If vb>=th1 and
vi>=th1, to moment tbI-th of Mike's signal x lateri(n) and xb(n) cross-correlation coefficient CC is calculatedib, th1 is the first threshold
Value；If CCib< th2 then prompts i-th of microphone damage, if CCib>=th2 then prompts the microphone normal.
It should be noted that the value of the th1 and th2 is with ambient noise level locating for the microphone array at anti-
To relationship.
Wherein, judging unit is to moment tbI-th of Mike's signal x lateri(n) and xb(n) cross-correlation coefficient CC is calculatedib
It mainly comprises the steps that
Judging unit is to acquisition signal xi(n) n=t is takenbThe time-domain signal adding window of 8192 points after+1；
Fast Fourier Transform (FFT) is carried out to frequency domain to the signal after adding window, determines frequency-region signal x (k)=[x1(k) ..., xi
(k) ..., xN(k)]；
Testing result CC is determined according to frequency-region signal, wherein CC=[CC1b..., CCib..., CCNb],
Wherein, k is frequency domain sequence, and real refers to real part.
To sum up, the device and method of microphone quality inspection of the invention are by introducing matched filter techniques and cross-correlation technique
Dual quality testing is carried out to microphone, while can also reduce influence of the ambient noise to quality inspection, ensure that the reliable of quality inspection
Property.
It unless there are known entitled phase otherwise anticipates, the numerical parameter in this specification and appended claims is approximation, energy
Characteristic changing needed for the content of enough bases through the invention is resulting.Specifically, all be used in specification and claim
The middle content for indicating composition, the number of reaction condition etc., it is thus understood that repaired by the term of " about " in all situations
Decorations.Under normal circumstances, the meaning expressed refers to include by specific quantity ± 10% variation in some embodiments, some
± 5% variation in embodiment, ± 1% variation in some embodiments, in some embodiments ± 0.5% variation.
Furthermore "comprising" does not exclude the presence of element or step not listed in the claims." one " located in front of the element
Or "one" does not exclude the presence of multiple such elements.
Particular embodiments described above has carried out further in detail the purpose of the present invention, technical scheme and beneficial effects
It describes in detail bright, it should be understood that the above is only a specific embodiment of the present invention, is not intended to restrict the invention, it is all
Within the spirit and principles in the present invention, any modification, equivalent substitution, improvement and etc. done should be included in guarantor of the invention
Within the scope of shield.
Claims (8)
1. a kind of device of microphone quality inspection, microphone array receives original signal, and determines acquisition signal x (n), described original
Signal includes original swept-frequency signal c (n) and primary speech signal, and the acquisition signal x (n) includes acquisition swept-frequency signal and acquisition
Voice signal, wherein the device includes:
Matching unit carries out matched filtering for the acquisition signal x (n) to microphone array, determines matching result zi(n)；And
To matching result zi(n) it is normalized, determines normalization result z ' (n), n indicates time domain sequences, and i indicates microphone sequence
Number, i >=1；
Judging unit is calculated, for calculating the maximum value v of z ' (n) absolute valueb, i-th microphone z ' (n) absolute value maximum
Value vi, determine vbCorresponding microphone serial number b and t at the time of correspondenceb；And
Carry out following judgement: if vi< th1 then prompts the microphone array to damage；If vb>=th1 and vi>=th1, to moment tb
I-th of Mike's signal x lateri(n) and xb(n) cross-correlation coefficient CC is calculatedib, th1 is first threshold；If CCib< th2, then
I-th of microphone damage is prompted, if CCib>=th2 then prompts the microphone normal.
2. the apparatus according to claim 1, wherein
zi(n)=xi(n)*cflip(n), wherein matched filter coefficient cflip(n) reversed for the time domain of c (n), * indicates convolution fortune
It calculates；
Z ' (n)=[z ' (n) ..., zi' (n) ..., zN' (n)],
Max (abs (z ' (n))=[v, tb], wherein τ is time domain parameter, τ2-τ1For the length of matched filter, eps is one
Minimum value is that 0, abs indicates ABS function, the set of the maximum value of z ' (n) absolute value of microphone array to prevent denominator
V={ v1..., vi..., vN, N is the number of microphone, N >=1,1≤i≤N, moment tbIt is acquired in the i.e. described acquisition signal
The position that swept-frequency signal terminates, the position that the acquisition voice signal starts.
3. the apparatus of claim 2, wherein judging unit is to moment tbI-th of Mike's signal x lateri(n) with
xb(n) cross-correlation coefficient CC is calculatedibRefer to:
Judging unit is to acquisition signal xi(n) n=t is takenbThe time-domain signal adding window of 8192 points after+1；
Fast Fourier Transform (FFT) is carried out to frequency domain to the signal after adding window, determines frequency-region signal:
X (k)=[x1(k) ..., xi(k) ..., xN(k)]；
Testing result CC is determined according to frequency-region signal, wherein CC=[CC1b..., CCib..., CCNb],
Wherein, k is frequency domain sequence, and real refers to real part.
4. the apparatus according to claim 1, wherein ring locating for the value of the th1 and th2 and the microphone array
Border noise level is at inverse relationship.
5. a kind of method of microphone quality inspection, comprising:
Microphone array receives original signal, and determines acquisition signal x (n), and the original signal includes original swept-frequency signal c
(n) and primary speech signal, the acquisition signal x (n) include acquisition swept-frequency signal and acquisition voice signal, wherein this method
Include:
Matched filtering is carried out to the acquisition signal x (n) of microphone array, determines matching result zi(n)；And to matching result zi
(n) it is normalized, determines normalization result z ' (n), n indicates time domain sequences, and i indicates microphone serial number, i >=1；
Calculate the maximum value v of z ' (n) absolute valueb, i-th microphone z ' (n) absolute value maximum value vi, determine vbIt is corresponding
Microphone serial number b and t at the time of correspondenceb；And
Carry out following judgement: if vi< th1 then prompts the microphone array to damage；If vb>=th1 and vi>=th1, to moment tb
I-th of Mike's signal x lateri(n) and xb(n) cross-correlation coefficient CC is calculatedib, th1 is first threshold；If CCib< th2, then
I-th of microphone damage is prompted, if CCib>=th2 then prompts the microphone normal.
6. according to the method described in claim 5, wherein,
zi(n)=xi(n)*cflip(n), wherein matched filter coefficient cflip(n) reversed for the time domain of c (n), * indicates convolution fortune
It calculates；
Z ' (n)=[z ' (n) ..., zi' (n) ..., zN' (n)],
Max (abs (z ' (n))=[v, tb], wherein τ is time domain parameter, τ2-τ1For the length of matched filter, eps is one
Minimum value is that 0, abs indicates ABS function, the set of the maximum value of z ' (n) absolute value of microphone array to prevent denominator
V={ v1..., vi..., vN, N is the number of microphone, N >=1,1≤i≤N, moment tbIt is acquired in the i.e. described acquisition signal
The position that swept-frequency signal terminates, the position that the acquisition voice signal starts.
7. according to the method described in claim 6, wherein, to moment tbI-th of Mike's signal x lateri(n) and xb(n) it calculates
Cross-correlation coefficient CCibThe following steps are included:
To acquisition signal xi(n) n=t is takenbThe time-domain signal adding window of 8192 points after+1；
Fast Fourier Transform (FFT) is carried out to frequency domain to the signal after adding window, determines frequency-region signal x (k)=[x1(k) ..., xi
(k) ..., xN(k)]；
Testing result CC is determined according to frequency-region signal, wherein CC=[CC1b..., CCib..., CCNb],
Wherein, k is frequency domain sequence, and real refers to real part.
8. according to the method described in claim 5, wherein, ring locating for the value of the th1 and th2 and the microphone array
Border noise level is at inverse relationship.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109862503A (en) * | 2019-01-30 | 2019-06-07 | 北京雷石天地电子技术有限公司 | A kind of method and apparatus of loudspeaker delay adjust automatically |
| CN110049423A (en) * | 2019-04-22 | 2019-07-23 | 福州瑞芯微电子股份有限公司 | A kind of method and system using broad sense cross-correlation and energy spectrum detection microphone |
| CN111083627A (en) * | 2019-12-30 | 2020-04-28 | 云知声智能科技股份有限公司 | Fault microphone detection method and device |
| CN113840221A (en) * | 2021-11-26 | 2021-12-24 | 杭州兆华电子有限公司 | Microphone array verification method |
| RU2781476C1 (en) * | 2021-12-02 | 2022-10-12 | Общество С Ограниченной Ответственностью "Яндекс" | Method for testing microphones and the speaker system implementing it |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7046812B1 (en) * | 2000-05-23 | 2006-05-16 | Lucent Technologies Inc. | Acoustic beam forming with robust signal estimation |
| CN102075848A (en) * | 2011-02-17 | 2011-05-25 | 深圳市豪恩声学股份有限公司 | Method and system for testing array microphone and rotating device |
| WO2012099562A1 (en) * | 2011-01-18 | 2012-07-26 | Thomson Licensing | Method and apparatus for spectrum sensing of wireless microphone signals |
| CN203086710U (en) * | 2009-06-29 | 2013-07-24 | 艾利佛有限公司 | Dual omnidirectional microphone array calibration system |
| US20130259248A1 (en) * | 2012-03-30 | 2013-10-03 | Yin-Hua Chia | Active acoustic noise reduction technique |
| CN105659064A (en) * | 2013-10-11 | 2016-06-08 | 斯奈克玛 | Method, system and computer program for the acoustic analysis of a machine |
| EP3193317A1 (en) * | 2016-01-15 | 2017-07-19 | Thomson Licensing | Activity classification from audio |
| CN106973353A (en) * | 2017-03-27 | 2017-07-21 | 广东顺德中山大学卡内基梅隆大学国际联合研究院 | A kind of microphone array passage based on Volterra wave filters mismatches calibration method |
| CN107170465A (en) * | 2017-06-29 | 2017-09-15 | 数据堂（北京）科技股份有限公司 | A kind of audio quality detection method and audio quality detecting system |
| CN108260066A (en) * | 2017-12-04 | 2018-07-06 | 中国航空工业集团公司哈尔滨空气动力研究所 | Microphone phased array calibrating installation |
-
2018
- 2018-08-29 CN CN201810999135.1A patent/CN109246570B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7046812B1 (en) * | 2000-05-23 | 2006-05-16 | Lucent Technologies Inc. | Acoustic beam forming with robust signal estimation |
| CN203086710U (en) * | 2009-06-29 | 2013-07-24 | 艾利佛有限公司 | Dual omnidirectional microphone array calibration system |
| WO2012099562A1 (en) * | 2011-01-18 | 2012-07-26 | Thomson Licensing | Method and apparatus for spectrum sensing of wireless microphone signals |
| CN102075848A (en) * | 2011-02-17 | 2011-05-25 | 深圳市豪恩声学股份有限公司 | Method and system for testing array microphone and rotating device |
| US20130259248A1 (en) * | 2012-03-30 | 2013-10-03 | Yin-Hua Chia | Active acoustic noise reduction technique |
| CN105659064A (en) * | 2013-10-11 | 2016-06-08 | 斯奈克玛 | Method, system and computer program for the acoustic analysis of a machine |
| EP3193317A1 (en) * | 2016-01-15 | 2017-07-19 | Thomson Licensing | Activity classification from audio |
| CN106973353A (en) * | 2017-03-27 | 2017-07-21 | 广东顺德中山大学卡内基梅隆大学国际联合研究院 | A kind of microphone array passage based on Volterra wave filters mismatches calibration method |
| CN107170465A (en) * | 2017-06-29 | 2017-09-15 | 数据堂（北京）科技股份有限公司 | A kind of audio quality detection method and audio quality detecting system |
| CN108260066A (en) * | 2017-12-04 | 2018-07-06 | 中国航空工业集团公司哈尔滨空气动力研究所 | Microphone phased array calibrating installation |
Non-Patent Citations (1)
| Title |
|---|
| 祁兵兵: "《基于麦克风阵列的声源定向***的研究与实现》", 《中国优秀硕士论文全文数据库》 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109862503A (en) * | 2019-01-30 | 2019-06-07 | 北京雷石天地电子技术有限公司 | A kind of method and apparatus of loudspeaker delay adjust automatically |
| CN110049423A (en) * | 2019-04-22 | 2019-07-23 | 福州瑞芯微电子股份有限公司 | A kind of method and system using broad sense cross-correlation and energy spectrum detection microphone |
| CN111083627A (en) * | 2019-12-30 | 2020-04-28 | 云知声智能科技股份有限公司 | Fault microphone detection method and device |
| CN111083627B (en) * | 2019-12-30 | 2021-07-23 | 云知声智能科技股份有限公司 | Fault microphone detection method and device |
| CN113840221A (en) * | 2021-11-26 | 2021-12-24 | 杭州兆华电子有限公司 | Microphone array verification method |
| RU2781476C1 (en) * | 2021-12-02 | 2022-10-12 | Общество С Ограниченной Ответственностью "Яндекс" | Method for testing microphones and the speaker system implementing it |
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