CN110049423A - A kind of method and system using broad sense cross-correlation and energy spectrum detection microphone - Google Patents
A kind of method and system using broad sense cross-correlation and energy spectrum detection microphone Download PDFInfo
- Publication number
- CN110049423A CN110049423A CN201910321929.7A CN201910321929A CN110049423A CN 110049423 A CN110049423 A CN 110049423A CN 201910321929 A CN201910321929 A CN 201910321929A CN 110049423 A CN110049423 A CN 110049423A
- Authority
- CN
- China
- Prior art keywords
- correlation
- cross
- microphone array
- array element
- broad sense
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/03—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the type of extracted parameters
-
- 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
- H04R29/001—Monitoring arrangements; Testing arrangements for loudspeakers
Abstract
The present invention relates to microphone array detection field, in particular to a kind of method and system using broad sense cross-correlation and energy spectrum detection microphone.A kind of method using broad sense cross-correlation and energy spectrum detection microphone, comprising steps of acquisition voice data；Broad sense cross-correlation function of each collected voice data of microphone array element relative to other microphone array elements is calculated, and takes out maximum composition cross correlation matrix number therein；Calculate the standard value of the energy spectrum of each microphone array element；The microphone array element for whether having damage on microphone to be detected is judged in conjunction with the cross correlation matrix number, the standard value of the energy spectrum of each microphone array element and preset threshold.It is i.e. executable by the key operation on measurement equipment to be checked by being write related step as automated procedures, so that even the irregular worker of technical level can also carry out test operation, the test equipment of what profession is not needed, cost is greatlyd save.
Description
Technical field
The present invention relates to microphone array detection fields, in particular to a kind of to detect wheat using broad sense cross-correlation and energy spectrum
The method and system of gram wind.
Background technique
At present on the market, for microphone array, Testing index mainly have sensitivity, signal-to-noise ratio, Frequency Response, on array
A series of index of the consistency of each microphone array element etc. electricity and acoustics, the detection of above indices need special
Acoustic detection environment and test equipment could complete, testing cost is very high.
Currently, microphone array is widely applied on consumer product, and the requirement to cost is very high, but many consumer
Requirement of the product to technical indicator is not particularly harsh, it is only necessary to detect can not pickup, volume spy is small, causes of sound distortion is apparent
Microphone array, therefore the microphone array detection means under laboratory environment is not just so economical and practical.
In addition, site environment is complicated in production and test workshop, the technical level of worker is irregular, excessively
Complicated and profession test method, is not suitable for workshop and worker.
Summary of the invention
For this reason, it may be necessary to a kind of method using broad sense cross-correlation and energy spectrum detection microphone is provided, it is existing to solve
The problem that microphone detection is at high cost and detection method is complicated.Specific technical solution is as follows:
A method of microphone being detected using broad sense cross-correlation and energy spectrum, comprising steps of acquisition voice data；It calculates
Broad sense cross-correlation function of each collected voice data of microphone array element relative to other microphone array elements, and take out therein
Maximum forms cross correlation matrix number, calculates the average energy spectrum of each collected voice signal of microphone array element, counts
The mean value and variance of the energy spectrum of each microphone array element calculate the standard value of the energy spectrum of each microphone array element；In conjunction with described
Cross correlation matrix number, each microphone array element energy spectrum standard value and preset threshold judge be on microphone to be detected
The no microphone array element for having damage.
Further, described " acquisition voice data " further comprises the steps of: the source of sound at acquisition microphone array pre-determined distance
The voice data and environmental noise data of sending, the pre-determined distance include: 1 meter.
Further, described " to calculate each collected voice data of microphone array element relative to other microphone array elements
Broad sense cross-correlation function, and take out maximum composition cross correlation matrix number therein ", it further comprises the steps of: and calculates each microphone
Cross-correlation function of the collected voice data of array element relative to other microphone array elements；It is calculated and is added according to the cross-correlation function
Weight function；Broad sense cross-correlation function is calculated to obtain according to the cross-correlation function and the weighting function；It is mutual to calculate the broad sense
Close the inverse Fourier transform of function；The maximum in the inverse Fourier transform of the broad sense cross-correlation function is traversed, and takes out it
In maximum form cross correlation matrix number.
Further, the weighting function is used for the albefaction input signal on frequency domain.
Further, the cross correlation matrix number is the symmetrical matrix of m*m, and the element value of matrix leading diagonal is 1,
The m is microphone array element quantity, and the coefficient value in the matrix indicates signal similarity, and 1 is total correlation, indicates that signal is complete
Unanimously, 0 is completely uncorrelated, and expression signal is completely inconsistent.
To solve the above problems, additionally providing a kind of system using broad sense cross-correlation and energy spectrum detection microphone, tool
Body technique scheme is as follows:
A kind of system using broad sense cross-correlation and energy spectrum detection microphone, comprising: speech data collection module and wheat
Gram wind array element diagnostic module；The speech data collection module is used for: acquisition voice data；The microphone array element diagnostic module
For: broad sense cross-correlation function of each collected voice data of microphone array element relative to other microphone array elements is calculated, and
Maximum composition cross correlation matrix number therein is taken out, the average energy of each collected voice signal of microphone array element is calculated
Spectrum counts the mean value and variance of the energy spectrum of each microphone array element, calculates the standard value of the energy spectrum of each microphone array element；
Wheat to be detected is judged in conjunction with the cross correlation matrix number, the standard value of the energy spectrum of each microphone array element and preset threshold
Whether the microphone array element of damage is had on gram wind.
Further, the speech data collection module is also used to: the source of sound hair at acquisition microphone array pre-determined distance
Voice data and environmental noise data out, the pre-determined distance include: 1 meter.
Further, the microphone array element diagnostic module is also used to: calculating the collected voice number of each microphone array element
According to the cross-correlation function relative to other microphone array elements；Weighting function is calculated according to the cross-correlation function；According to described mutual
Correlation function and the weighting function calculate to obtain broad sense cross-correlation function；Calculate Fourier's inversion of the broad sense cross-correlation function
It changes；The maximum in the inverse Fourier transform of the broad sense cross-correlation function is traversed, and it is mutual to take out maximum composition therein
Relationship matrix number.
Further, the weighting function is used for the albefaction input signal on frequency domain.
Further, the cross correlation matrix number is the symmetrical matrix of m*m, and the element value of matrix leading diagonal is 1,
The m is microphone array element quantity, and the coefficient value in the matrix indicates signal similarity, and 1 is total correlation, indicates that signal is complete
Unanimously, 0 is completely uncorrelated, and expression signal is completely inconsistent.
The beneficial effects of the present invention are: being detected by broad sense cross-correlation and energy spectrum to microphone array, detect
Calculation method is simple, and by being write related step as automated procedures, passes through the key operation on measurement equipment to be checked
It executes, so that even the irregular worker of technical level can also carry out test operation, does not need the survey of what profession
Equipment is tried, cost is greatlyd save.
Detailed description of the invention
Fig. 1 is a kind of process for the method that microphone is detected using broad sense cross-correlation and energy spectrum described in specific embodiment
Figure；
Fig. 2 is the flow chart that cross correlation matrix number is calculated described in specific embodiment；
Fig. 3 is broad sense cross correlation algorithm flow chart described in specific embodiment；
Fig. 4 is array energy scale value-based algorithm flow chart described in specific embodiment；
Fig. 5 is the circle battle array test schematic diagram of 6 array element microphones described in specific embodiment；
Fig. 6 is a kind of module for the system that microphone is detected using broad sense cross-correlation and energy spectrum described in specific embodiment
Schematic diagram.
Description of symbols:
600, the system for detecting microphone using broad sense cross-correlation and energy spectrum,
601, speech data collection module,
602, microphone array element diagnostic module.
Specific embodiment
Technology contents, construction feature, the objects and the effects for detailed description technical solution, below in conjunction with specific reality
It applies example and attached drawing is cooperated to be explained in detail.
Description below explanation is done to some nouns in present embodiment first:
Microphone array: referring to applied to speech processes by certain regularly arranged multiple microphone systems, can also letter
Singly it is interpreted as the recording system of 2 or more microphones composition.The wherein array element quantity of microphone array, that is, microphone number
Amount.
Fig. 1 to Fig. 5 is please referred to, it is in the present embodiment, a kind of to detect microphone using broad sense cross-correlation and energy spectrum
Method can be applicable to it is a kind of using broad sense cross-correlation and energy spectrum detection microphone system on, it is described it is a kind of using broad sense it is mutual
Close the system with energy spectrum detection microphone, comprising: speech data collection module and microphone array element diagnostic module.Actually answering
In, it can control whether two modules start to work by key, therefore the production line that its operation is very simple, even common
Worker can also operate on it.Below to a kind of the specific of method for detecting microphone using broad sense cross-correlation and energy spectrum
Embodiment is illustrated:
Step S101: acquisition voice data.
Step S102: it is mutual relative to the broad sense of other microphone array elements to calculate each collected voice data of microphone array element
Correlation function, and take out maximum composition cross correlation matrix number therein.
Step S103: the average energy spectrum of each collected voice signal of microphone array element is calculated, each microphone is counted
The mean value and variance of the energy spectrum of array element calculate the standard value of the energy spectrum of each microphone array element.
Step S104: in conjunction with the cross correlation matrix number, the standard value of the energy spectrum of each microphone array element and pre-
If whether there is the microphone array element of damage on threshold decision microphone to be detected.
It should be noted that in the present embodiment, " acquisition voice data " in step S101 further comprises the steps of: acquisition
The voice data and environmental noise data, the pre-determined distance that source of sound at microphone array pre-determined distance issues include: 1 meter.
It specifically can be as follows: place source of sound (source of sound can be the speaker of a broadcasting music) at a distance at 1 meter of distance microphone array, due to
The size of sound and distance square are inversely proportional, and for several centimetres of diameter of microphone arrays, 1 meter of remote source of sound can
To guarantee the not too large by sound difference in size of each array element of microphone array.It certainly in other embodiments, can also root
Source of sound is placed on outside different distances according to the difference of the microphone array of actual test, specific distance is not done to this present invention
Limitation.
Further, in the present embodiment, microphone array starts to record, and when preferred recorded voice is 1 second a length of
Can, source of sound and environmental noise can be recorded together.Preferred recorded voice 1 second in the present embodiment, be because
The similarity factor of signal is provided from frequency domain angle by broad sense cross-correlation coefficient, the pickup size that power spectrum standard value provides signal is poor
It is different, it is only necessary to which that recording in 1 second can filter out rapidly can not pickup, volume spy be small, the apparent microphone array of causes of sound distortion.
Fig. 2 and Fig. 3 are please referred to, the specific implementation of step S102 can be as follows:
Step S201: cross-correlation of each collected voice data of microphone array element relative to other microphone array elements is calculated
Function.
Step S202: weighting function is calculated according to the cross-correlation function.
Step S203: broad sense cross-correlation function is calculated to obtain according to the cross-correlation function and the weighting function.
Step S204: the inverse Fourier transform of the broad sense cross-correlation function is calculated.
Step S205: the maximum in the inverse Fourier transform of the broad sense cross-correlation function is traversed, and is taken out therein
Maximum forms cross correlation matrix number.
Referring to Fig. 3, being carried out to above-mentioned broad sense cross-correlation function further in Fig. 3 by taking two microphone array element as an example
Explanation.It should be noted that in the present embodiment, the cross correlation matrix number finally obtained is the symmetrical matrix of m*m, and square
The element value of battle array leading diagonal is 1, and the m is microphone array element quantity, and the coefficient value in the matrix indicates signal similarity,
1 is total correlation, indicates that signal is completely the same, and 0 is completely uncorrelated, and expression signal is completely inconsistent.Wherein cross-correlation coefficient square
The range of coefficient value in battle array is [0,1].
And it is further, in the present embodiment, broad sense cross-correlation method carrys out albefaction using a weighting function in frequency domain
Input signal obtains having more so that can also protrude the peak value of cross-correlation function even if low signal-to-noise ratio in the environment of band is made an uproar
The cross-correlation function of precipitous extreme value can generate error to avoid when finding extreme value.
Referring to Fig. 4, the specific implementation of step S103 can be as shown in Figure 4:
The energy value of each collected voice signal of microphone array element is calculated, and then calculates the average energy of these energy values
Spectrum (power spectrum, that is, energy spectrum in Fig. 4) and variance, then the standard value of the energy spectrum of each microphone array element is calculated, it finally returns to each
Microphone array element energy spectrum standard value.
It, can be by presetting after calculating the standard value of energy spectrum of cross correlation matrix number and each microphone array element
(in the present embodiment, the empirical value that threshold value is 0.5, energy spectrum standard is generally arranged in broad sense cross-correlation coefficient to reasonable threshold value
In value ± 5 ranges of setting), it can judge the microphone array element for whether having damage on microphone array to be detected.
Wherein above-mentioned all steps are all write as automated procedures, by be detected in the application of actual production line
Key in equipment, a key operation execute, and testing result is provided by the flashing of the led indicator light on measurement equipment to be checked.Very
It is suitble to shop worker's operation, and does not need the test equipment of what profession.
And the similarity factor of signal is provided from frequency domain angle by broad sense cross-correlation coefficient, power spectrum standard value provides signal
Pickup difference in size, and only need 1 second record, can filter out rapidly can not pickup, volume spy is small, causes of sound distortion is bright
Aobvious microphone array.
Referring to Fig. 5, which show the test result of the microphone of 6 array elements circle battle array, first part gives each battle array
The standard value of first energy spectrum, second part give cross correlation matrix number, and Part III provides judgement according to the threshold value of setting
As a result: the array element 2 of the microphone array is damage.
Referring to Fig. 6, in the present embodiment, a kind of system using broad sense cross-correlation and energy spectrum detection microphone
600 specific embodiment is as follows:
A kind of system 600 using broad sense cross-correlation and energy spectrum detection microphone, comprising: speech data collection module
601 and microphone array element diagnostic module 602；The speech data collection module 601 is used for: acquisition voice data；The Mike
Wind array element diagnostic module 602 is used for: calculating each collected voice data of microphone array element relative to other microphone array elements
Broad sense cross-correlation function, and maximum composition cross correlation matrix number therein is taken out, it is collected to calculate each microphone array element
The average energy spectrum of voice signal counts the mean value and variance of the energy spectrum of each microphone array element, calculates each microphone array
The standard value of the energy spectrum of member；In conjunction with the cross correlation matrix number, the energy spectrum of each microphone array element standard value and
Preset threshold judges the microphone array element for whether having damage on microphone to be detected.
Further, the speech data collection module 601 is also used to: the source of sound at acquisition microphone array pre-determined distance
The voice data and environmental noise data of sending, the pre-determined distance include: 1 meter.
Further, the microphone array element diagnostic module 602 is also used to: calculating each collected voice of microphone array element
Cross-correlation function of the data relative to other microphone array elements；Weighting function is calculated according to the cross-correlation function；According to described
Cross-correlation function and the weighting function calculate to obtain broad sense cross-correlation function；The Fourier for calculating the broad sense cross-correlation function is inverse
Transformation；The maximum in the inverse Fourier transform of the broad sense cross-correlation function is traversed, and it is mutual to take out maximum composition therein
Correlation matrix.
Further, the weighting function is used for the albefaction input signal on frequency domain.
Further, the cross correlation matrix number is the symmetrical matrix of m*m, and the element value of matrix leading diagonal is 1,
The m is microphone array element quantity, and the coefficient value in the matrix indicates signal similarity, and 1 is total correlation, indicates that signal is complete
Unanimously, 0 is completely uncorrelated, and expression signal is completely inconsistent.
Speech data collection module 601 is controlled by a key operation and microphone array element diagnostic module 602 is started to work, i.e.,
It can record, and filtering out rapidly can not pickup, volume spy be small, the apparent microphone array of causes of sound distortion.Operating procedure letter
Single, equipment cost is low, and method is simple.
It should be noted that being not intended to limit although the various embodiments described above have been described herein
Scope of patent protection of the invention.Therefore, it based on innovative idea of the invention, change that embodiment described herein is carried out and is repaired
Change, or using equivalent structure or equivalent flow shift made by description of the invention and accompanying drawing content, it directly or indirectly will be with
Upper technical solution is used in other related technical areas, is included within scope of patent protection of the invention.
Claims (10)
1. a kind of method using broad sense cross-correlation and energy spectrum detection microphone, which is characterized in that comprising steps of
Acquire voice data；
Broad sense cross-correlation function of each collected voice data of microphone array element relative to other microphone array elements is calculated, and is taken
Maximum therein forms cross correlation matrix number out；
The average energy spectrum for calculating each collected voice signal of microphone array element, counts the energy spectrum of each microphone array element
Mean value and variance, calculate the standard value of the energy spectrum of each microphone array element；
Judge in conjunction with the cross correlation matrix number, the standard value of the energy spectrum of each microphone array element and preset threshold to be checked
The microphone array element for whether having damage on microphone surveyed.
2. a kind of method using broad sense cross-correlation and energy spectrum detection microphone according to claim 1, feature exist
In " the acquisition voice data " further comprises the steps of:
Acquire the voice data and environmental noise data that the source of sound at microphone array pre-determined distance issues, the pre-determined distance packet
It includes: 1 meter.
3. a kind of method using broad sense cross-correlation and energy spectrum detection microphone according to claim 1, feature exist
In, described " broad sense cross-correlation function of each collected voice data of microphone array element relative to other microphone array elements is calculated,
And take out maximum composition cross correlation matrix number therein ", it further comprises the steps of:
Calculate cross-correlation function of each collected voice data of microphone array element relative to other microphone array elements；
Weighting function is calculated according to the cross-correlation function；
Broad sense cross-correlation function is calculated to obtain according to the cross-correlation function and the weighting function；
Calculate the inverse Fourier transform of the broad sense cross-correlation function；
The maximum in the inverse Fourier transform of the broad sense cross-correlation function is traversed, and it is mutual to take out maximum composition therein
Relationship matrix number.
4. a kind of method using broad sense cross-correlation and energy spectrum detection microphone according to claim 3, feature exist
In,
The weighting function is used for the albefaction input signal on frequency domain.
5. a kind of method using broad sense cross-correlation and energy spectrum detection microphone according to any one of claims 1 to 4,
It is characterized in that,
The cross correlation matrix number is the symmetrical matrix of m*m, and the element value of matrix leading diagonal is 1, and the m is microphone
Array element quantity, the coefficient value in the matrix indicate signal similarity, and 1 is total correlation, indicate that signal is completely the same, 0 is complete
It is uncorrelated, indicate that signal is completely inconsistent.
6. a kind of system using broad sense cross-correlation and energy spectrum detection microphone characterized by comprising data under voice
Module and microphone array element diagnostic module；
The speech data collection module is used for: acquisition voice data；
The microphone array element diagnostic module is used for: calculating each collected voice data of microphone array element relative to other Mikes
The broad sense cross-correlation function of wind array element, and maximum composition cross correlation matrix number therein is taken out, calculate each microphone array element
The average energy spectrum of collected voice signal counts the mean value and variance of the energy spectrum of each microphone array element, calculates each
The standard value of the energy spectrum of microphone array element；In conjunction with the cross correlation matrix number, the energy spectrum of each microphone array element
Standard value and preset threshold judge the microphone array element for whether having damage on microphone to be detected.
7. a kind of system using broad sense cross-correlation and energy spectrum detection microphone according to claim 6, feature exist
In,
The speech data collection module is also used to: acquisition microphone array pre-determined distance at source of sound issue voice data and
Environmental noise data, the pre-determined distance include: 1 meter.
8. a kind of system using broad sense cross-correlation and energy spectrum detection microphone according to claim 6, feature exist
In,
The microphone array element diagnostic module is also used to: calculating each collected voice data of microphone array element relative to other wheats
The cross-correlation function of gram wind array element；Weighting function is calculated according to the cross-correlation function；According to the cross-correlation function and described
Weighting function calculates to obtain broad sense cross-correlation function；Calculate the inverse Fourier transform of the broad sense cross-correlation function；It traverses described wide
Maximum in the inverse Fourier transform of adopted cross-correlation function, and take out maximum composition cross correlation matrix number therein.
9. a kind of system using broad sense cross-correlation and energy spectrum detection microphone according to claim 8, feature exist
In,
The weighting function is used for the albefaction input signal on frequency domain.
10. according to a kind of any system using broad sense cross-correlation and energy spectrum detection microphone of claim 6 to 9,
It is characterized in that,
The cross correlation matrix number is the symmetrical matrix of m*m, and the element value of matrix leading diagonal is 1, and the m is microphone
Array element quantity, the coefficient value in the matrix indicate signal similarity, and 1 is total correlation, indicate that signal is completely the same, 0 is complete
It is uncorrelated, indicate that signal is completely inconsistent.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910321929.7A CN110049423A (en) | 2019-04-22 | 2019-04-22 | A kind of method and system using broad sense cross-correlation and energy spectrum detection microphone |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910321929.7A CN110049423A (en) | 2019-04-22 | 2019-04-22 | A kind of method and system using broad sense cross-correlation and energy spectrum detection microphone |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110049423A true CN110049423A (en) | 2019-07-23 |
Family
ID=67278126
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910321929.7A Pending CN110049423A (en) | 2019-04-22 | 2019-04-22 | A kind of method and system using broad sense cross-correlation and energy spectrum detection microphone |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110049423A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110996244A (en) * | 2019-12-23 | 2020-04-10 | 四川虹美智能科技有限公司 | Microphone array performance test method, device and system |
| CN112969134A (en) * | 2021-02-07 | 2021-06-15 | 深圳市微纳感知计算技术有限公司 | Microphone abnormality detection method, device, equipment and storage medium |
| CN113840221A (en) * | 2021-11-26 | 2021-12-24 | 杭州兆华电子有限公司 | Microphone array verification method |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101902677A (en) * | 2010-06-23 | 2010-12-01 | 中兴通讯股份有限公司 | Audio detection device and method |
| CN102187691A (en) * | 2008-10-07 | 2011-09-14 | 弗朗霍夫应用科学研究促进协会 | Binaural rendering of a multi-channel audio signal |
| CN105321528A (en) * | 2014-06-27 | 2016-02-10 | 中兴通讯股份有限公司 | Microphone array voice detection method and device |
| CN106199607A (en) * | 2016-06-29 | 2016-12-07 | 北京捷通华声科技股份有限公司 | The Sounnd source direction localization method of a kind of microphone array and device |
| CN109192213A (en) * | 2018-08-21 | 2019-01-11 | 平安科技（深圳）有限公司 | The real-time transfer method of court's trial voice, device, computer equipment and storage medium |
| CN109246570A (en) * | 2018-08-29 | 2019-01-18 | 北京声智科技有限公司 | The device and method of microphone quality inspection |
| CN109618273A (en) * | 2018-12-29 | 2019-04-12 | 北京声智科技有限公司 | The device and method of microphone quality inspection |
-
2019
- 2019-04-22 CN CN201910321929.7A patent/CN110049423A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102187691A (en) * | 2008-10-07 | 2011-09-14 | 弗朗霍夫应用科学研究促进协会 | Binaural rendering of a multi-channel audio signal |
| CN101902677A (en) * | 2010-06-23 | 2010-12-01 | 中兴通讯股份有限公司 | Audio detection device and method |
| CN105321528A (en) * | 2014-06-27 | 2016-02-10 | 中兴通讯股份有限公司 | Microphone array voice detection method and device |
| CN106199607A (en) * | 2016-06-29 | 2016-12-07 | 北京捷通华声科技股份有限公司 | The Sounnd source direction localization method of a kind of microphone array and device |
| CN106199607B (en) * | 2016-06-29 | 2019-03-01 | 北京捷通华声科技股份有限公司 | A kind of the Sounnd source direction localization method and device of microphone array |
| CN109192213A (en) * | 2018-08-21 | 2019-01-11 | 平安科技（深圳）有限公司 | The real-time transfer method of court's trial voice, device, computer equipment and storage medium |
| CN109246570A (en) * | 2018-08-29 | 2019-01-18 | 北京声智科技有限公司 | The device and method of microphone quality inspection |
| CN109618273A (en) * | 2018-12-29 | 2019-04-12 | 北京声智科技有限公司 | The device and method of microphone quality inspection |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110996244A (en) * | 2019-12-23 | 2020-04-10 | 四川虹美智能科技有限公司 | Microphone array performance test method, device and system |
| CN110996244B (en) * | 2019-12-23 | 2021-08-03 | 四川虹美智能科技有限公司 | Microphone array performance test method, device and system |
| CN112969134A (en) * | 2021-02-07 | 2021-06-15 | 深圳市微纳感知计算技术有限公司 | Microphone abnormality detection method, device, equipment and storage medium |
| CN113840221A (en) * | 2021-11-26 | 2021-12-24 | 杭州兆华电子有限公司 | Microphone array verification method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110049423A (en) | A kind of method and system using broad sense cross-correlation and energy spectrum detection microphone | |
| CN106352243A (en) | Gas transmission pipeline leakage detection system based on acoustic method | |
| CN102563361A (en) | Device and method for detecting and positioning leakage of gas transmission pipeline based on conventional data and sound wave signals | |
| AU5067902A (en) | Environmental noise monitoring | |
| CN106643982B (en) | A kind of level measuring method based on resonance frequency of sound wave | |
| CN102629470B (en) | Consonant-segment detection apparatus and consonant-segment detection method | |
| CN102547526B (en) | Real-time monitoring method and system of microphone working state | |
| CN107064846A (en) | The sensitivity detection method and device of live testing apparatus for local discharge | |
| CN105091732A (en) | Method and system for detecting deformation of transformer winding | |
| CN105067101A (en) | Fundamental tone frequency characteristic extraction method based on vibration signal for vibration source identification | |
| CN207763929U (en) | High-pressure gas pressure regulator failure detector based on sound emission | |
| CN104869519A (en) | Method and system for testing background noise of microphone | |
| CN102749425A (en) | Method and device for fatigue test crack diagnosis of engine body | |
| CN105737967A (en) | Two-dimensional vector field hydrophone | |
| CN205562027U (en) | Two -dimensional vector field hydrophone | |
| CN110992972B (en) | Sound source noise reduction method based on multi-microphone earphone, electronic equipment and computer readable storage medium | |
| CN211478951U (en) | Fault diagnosis device and fault diagnosis system | |
| CN205506202U (en) | Infrasonic wave detector | |
| CN109682463B (en) | Audible noise measuring method for transformer substation | |
| CN208140250U (en) | Noise detection system in 8 road car of one kind | |
| CN107741263B (en) | Liquid level estimation method based on frequency domain information fusion | |
| CN109379687A (en) | A kind of measurement of line array loudspeaker system vertical directivity and projectional technique | |
| CN104596637A (en) | Calabash-shaped resonant cavity sensor collecting infrasonic waves by aid of pressure, and demonstration device | |
| CN111141830B (en) | Micro-nano coupling optical fiber sensor-based linear positioning system and method | |
| CN109540710B (en) | Integrated multi-parameter multi-channel material strength measurement and control system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190723 |
|
| RJ01 | Rejection of invention patent application after publication |