CN105025416A - Portable double-microphone sound source identification and positioning device - Google Patents
Portable double-microphone sound source identification and positioning device Download PDFInfo
- Publication number
- CN105025416A CN105025416A CN201510405966.8A CN201510405966A CN105025416A CN 105025416 A CN105025416 A CN 105025416A CN 201510405966 A CN201510405966 A CN 201510405966A CN 105025416 A CN105025416 A CN 105025416A
- Authority
- CN
- China
- Prior art keywords
- microphone
- sound source
- preamplifier
- sound sources
- portable
- 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.)
- Granted
Links
Abstract
The invention relates to a sound source identification and positioning device and especially relates to a portable double-microphone sound source identification and positioning device. The technical problem to be solved is to provide the portable double-microphone sound source identification and positioning device which is simple in structure, small in size, convenient to carry and more visual in display result. The portable double-microphone sound source identification and positioning device comprises a microphone A, a microphone B, a pre-amplifier A, a pre-amplifier B, a support, a signal acquisition module, a sound source identification and positioning module, a storage module and a displayer. The portable double-microphone sound source identification and positioning device solves the defects that an existing sound source identification and positioning device is large in size, and inconvenient to transport and carry; the device is simple in structure, small in size, convenient to carry, capable of identifying sound sources from different directions, small in computation complexity, high in real-time performance, and suitable for being applied to an embedded system; and the device is equipped with a liquid crystal display screen, so that the display results are more visual.
Description
Technical field
The present invention relates to a kind of Sound sources identification and localization device, particularly relate to a kind of portable two microphones Sound sources identification and localization device.
Background technology
In intelligent monitoring and mobile robot's research field, the separation of sound-source signal is the focus studied with location always, and the identification how making robot only utilize two microphones to complete sound source as people is the difficult point studied with location; Under numerous Conversation Voice and noisy environment, Sound sources identification and localization technology can focus on the echo signal interested to user, suppresses interference noise, contributes to the separation of PMD EDM; In addition, deft design, high accuracy and the sound source direction device that is convenient for carrying in medical treatment, search and rescue, the numerous areas such as military and national defence has important using value.
The microphone array array element number that existing sound source direction device adopts is many, bulky, only has large-scale vehicle-mounted sound source sniffer, does not have small-sized portable sound source sniffer.Patent CN101910807A uses the sound source identifying and measuring apparatus possessing baffle plate to obtain all directions sound source information, and by the azimuth of passing generation in time, the elevation angle, acoustic pressure, frequency frequency characteristic etc. connects, determine sound source more accurately, but microphone array is bulky, data operation quantity is large, be not suitable for real-time process, patent CN104049235A discloses a kind of sound source direction device, microphone array comprises four array elements, complex structure, repeatedly need adjust and determine target bearing, patent CN101957442B adopts the microphone array of quaternary positive tetrahedron structure, four microphones lay respectively at four summits of this positive tetrahedron structure, institute takes up space larger, be inconvenient to transport and carry, patent CN103219012A utilizes dual microphone noise reduction, strengthen voice, but do not provide the azimuth information of sound source.
Summary of the invention
(1) technical problem that will solve
The present invention is large in order to overcome existing Sound sources identification and localization device volume, inconvenience transport and the shortcoming of carrying, it is simple that the technical problem to be solved in the present invention is to provide a kind of device structure, and volume is little, be easy to carry, the more intuitive portable two microphones Sound sources identification and localization device of display result.
(2) technical scheme
In order to solve the problems of the technologies described above, the invention provides so a kind of portable two microphones Sound sources identification and localization device, comprise microphone A, microphone B, preamplifier A, preamplifier B, support, signal acquisition module, Sound sources identification and localization module, memory module, display; Described microphone A is connected on preamplifier A, described microphone B is connected on preamplifier B, described microphone A, microphone B are connected on support, arrange in H type, described preamplifier A, preamplifier B are connected to signal acquisition module, described signal acquisition module, memory module, display are connected in Sound sources identification and localization module, and microphone A and microphone B periphery are all enclosed with electromic thermostat.
Preferably, described microphone A is connected with preamplifier A by screw thread, and microphone B is connected with preamplifier B by screw thread.
Preferably, the directive property of described microphone A and described microphone B is omni-directional.
Preferably, described support is " Н " type, and wherein two is circular groove, and described microphone A and described microphone B embeds support both sides respectively, and keeping parallelism is arranged.
Preferably, long 5 centimetres of horizontal edge in the middle of described " Н " type support.
Preferably, described preamplifier A and described preamplifier B is built-in.
Preferably, described display is liquid crystal display.
Preferably, described memory module stores the institute's sound source obtained by Sound sources identification and localization module, and described display shows amplitude and the phase place of institute's sound source by polar diagram.
Operation principle: first utilize microphone A and microphone B to gather sound-source signal respectively, and acoustical signal is converted into the signal of telecommunication; Then by preamplifier A and preamplifier B, after respectively the signal of telecommunication being amplified, signal acquisition module is transferred to; Two-way acoustical signal is carried out filtering, analog/digital conversion by signal acquisition module, and the two ways of digital signals after conversion transfers to Sound sources identification and localization module; In Sound sources identification and localization module, utilize normalization, first-order difference, time-frequency divides, isolated component scheduling algorithm carries out identification and the location of sound source; Position amplitude and the phase information of sound source is shown in last liquid crystal display.
In Sound sources identification and localization module, utilize normalization, first-order difference, time-frequency divides, isolated component scheduling algorithm carries out identification and the location of sound source.Method wherein based on independent component analysis processes signal, and concrete steps are as follows:
Catabolic phase: utilize Computational auditory scene analysis to be separated two-way collection signal, obtains more independently two separation components;
Organize the stage: two components are converted into time-frequency domain by time domain, are decomposed into basic time frequency unit, calculate the time-frequency mask of each time frequency unit, according to time-frequency mask, the time frequency unit with same characteristic features is organized together formation sound clip;
Merging phase: merge the sound clip with similar features, reconstruct time domain waveform by time-frequency domain fragment, judging that whether this synthesis sound source is from same sound source, if so, is then final separation component; If not, then return and organize the stage, continue to be separated till satisfying condition;
Positioning stage: utilize time delay and phase difference to position sound source, first utilizes filter to carry out preliminary treatment to noise in voice signal, then estimates the time delay of multi-path voice signal, finally builds the position that geometrical relationship determines sound source.
In catabolic phase, Computational auditory scene analysis method adopts Informax Independent Component Analysis Algorithm or combines with time-frequency mask based on the joint approximate diagonalization algorithm of tensor;
Organize in the stage and two components are converted into time-frequency domain by time domain, adopt the one in Short Time Fourier Transform, wavelet transformation and the filtering of Gammatone bank of filters to convert component, obtain basic time frequency unit representation.
Calculate masking factor to all time frequency unit in merging phase, build time-frequency masking matrix, retain the time frequency unit of target sound source, the time frequency unit of the interference signal that significantly decays, building formula is:
In formula, Y
1(ω, t), Y
2(ω, t) is the time-frequency representation of two components, and τ is degree of rarefication controling parameters.
Organize and the time frequency unit with same characteristic features organized together according to time-frequency mask the formula forming sound clip in the stage and be:
In formula, X
1(ω, t), X
2(ω, t) is the time-frequency representation of microphone collection signal.
The method of rebuilding time domain waveform in merging phase is corresponding with the time-frequency conversion method that merging phase adopts, and adopts inverse Fourier transform, wavelet reconstruction and the one in Gammatone bank of filters in short-term.
Judge described in merging phase that whether synthesis sound source is from same sound source, basis for estimation is the conditional number of covariance matrix, definition covariance matrix:
In formula, x is the time-domain signal of synthesis sound source, N
sfor the sampling number of x, Matrix condition number computing formula is:
cond(R
xx)=maxeig(R
xx)/mineig(R
xx)
Wherein, all characteristic values of eig () representing matrix, when conditional number is greater than certain threshold value, judge that output signal is from same sound source.
And, we have installed electromic thermostat additional in the periphery of microphone, two microphones are made to keep identical and stationary temperature, general control is at 20 degree, decrease the temperature drift phenomenon of microphone, find, after having installed electromic thermostat additional through overtesting, around when ambient temperature too high (being greater than 30 degree) or too low (being less than 10 degree), be greatly improved than the accuracy of the accuracy rate and location that do not install electromic thermostat identification of sound source additional.
(3) beneficial effect
One provided by the invention portable two microphones Sound sources identification and localization device, overcomes existing Sound sources identification and localization device volume large, inconvenience transport and the shortcoming of carrying, and only use two microphones, device structure is simple, and volume is little, is easy to carry; The recognition methods that independent component analysis combines with time-frequency mask is not done sound source number and route of transmission and is supposed, accurately can identify that amount of calculation is little from different azimuth sound source, ensure that the requirement of real-time of sonic location system, is applicable to the application of embedded system; Be configured with LCDs, and utilize polar form to show each individual sources, display result is more directly perceived.
Accompanying drawing explanation
Fig. 1 is structural representation of the present invention.
Fig. 2 is structural representation of the present invention.
Fig. 3 is signals collecting schematic diagram of the present invention.
Fig. 4 is sound source position of the present invention display schematic diagram.
Fig. 5 is the identification of sound source and the separation process figure that the present invention is based on isolated component.
Being labeled as in accompanying drawing: 1-microphone A, 2-microphone B, 3-preamplifier A, 4-preamplifier B, 5-signal acquisition module, 6-Sound sources identification and localization module, 7-display, 8-memory module, 9-support, 10-electromic thermostat.
Embodiment
Below in conjunction with drawings and Examples, the present invention is further illustrated.
Embodiment 1
A kind of portable two microphones Sound sources identification and localization device, as shown in Figure 1-2, microphone A1, microphone B2, preamplifier A3, preamplifier B4, support 9, signal acquisition module 5, Sound sources identification and localization module 6, memory module 8, display 7 is comprised; Described microphone A1 is connected on preamplifier A3, described microphone B2 is connected on preamplifier B4, described microphone A1, microphone B2 are connected on support 9, arrange in H type, described preamplifier A3, preamplifier B4 are connected to signal acquisition module 5, described signal acquisition module 5, memory module 8, display 7 are connected in Sound sources identification and localization module 6, and microphone A1 and microphone B2 periphery are all enclosed with electromic thermostat 10.
Operation principle:
We have installed electromic thermostat 10 additional in the periphery of microphone, two microphones are made to keep identical and stationary temperature, general control is at 20 degree, decrease the temperature drift phenomenon of microphone, find through overtesting, after having installed electromic thermostat 10 additional, around when ambient temperature too high (being greater than 30 degree) or too low (being less than 10 degree), be greatly improved than the accuracy of the accuracy rate and location that do not install electromic thermostat 10 identification of sound source additional.
Embodiment 2
A kind of portable two microphones Sound sources identification and localization device, as Figure 1-5, microphone A1, microphone B2, preamplifier A3, preamplifier B4, support 9, signal acquisition module 5, Sound sources identification and localization module 6, memory module 8, display 7 is comprised; Described microphone A1 is connected on preamplifier A3, described microphone B2 is connected on preamplifier B4, described microphone A1, microphone B2 are connected on support 9, arrange in H type, described preamplifier A3, preamplifier B4 are connected to signal acquisition module 5, described signal acquisition module 5, memory module 8, display 7 are connected in Sound sources identification and localization module 6, and microphone A1 and microphone B2 periphery are all enclosed with electromic thermostat 10.
Described microphone A1 is connected with preamplifier A3 by screw thread, and microphone B2 is connected with preamplifier B4 by screw thread.
The directive property of described microphone A1 and described microphone B2 is omni-directional.
Described support 9 is " Н " type, and wherein two is circular groove, and described microphone A1 and described microphone B2 embeds support 9 both sides respectively, and keeping parallelism is arranged.
Long 5 centimetres of the middle horizontal edge of described " Н " type support 9.
Described preamplifier A3 and described preamplifier B4 is built-in.
Described display 7 is liquid crystal display 7.
Described memory module 8 stores the institute's sound source obtained by Sound sources identification and localization module 6, and described display 7 shows amplitude and the phase place of institute's sound source by polar diagram.
Operation principle: first utilize microphone A1 and microphone B2 to gather sound-source signal respectively, and acoustical signal is converted into the signal of telecommunication; Then by preamplifier A3 and preamplifier B4, signal acquisition module 5 after respectively the signal of telecommunication being amplified, is transferred to; Two-way acoustical signal is carried out filtering, analog/digital conversion by signal acquisition module 5, and the two ways of digital signals after conversion transfers to Sound sources identification and localization module 6; In Sound sources identification and localization module 6, utilize normalization, first-order difference, time-frequency divides, isolated component scheduling algorithm carries out identification and the location of sound source; Position amplitude and the phase information of sound source is shown in last liquid crystal display 7.
In Sound sources identification and localization module 6, utilize normalization, first-order difference, time-frequency divides, isolated component scheduling algorithm carries out identification and the location of sound source.Method wherein based on independent component analysis processes signal, and concrete steps are as follows:
Catabolic phase: utilize Computational auditory scene analysis to be separated two-way collection signal, obtains more independently two separation components;
Organize the stage: two components are converted into time-frequency domain by time domain, are decomposed into basic time frequency unit, calculate the time-frequency mask of each time frequency unit, according to time-frequency mask, the time frequency unit with same characteristic features is organized together formation sound clip;
Merging phase: merge the sound clip with similar features, reconstruct time domain waveform by time-frequency domain fragment, judging that whether this synthesis sound source is from same sound source, if so, is then final separation component; If not, then return and organize the stage, continue to be separated till satisfying condition;
Positioning stage: utilize time delay and phase difference to position sound source, first utilizes filter to carry out preliminary treatment to noise in voice signal, then estimates the time delay of multi-path voice signal, finally builds the position that geometrical relationship determines sound source.
In catabolic phase, Computational auditory scene analysis method adopts Informax Independent Component Analysis Algorithm or combines with time-frequency mask based on the joint approximate diagonalization algorithm of tensor;
Organize in the stage and two components are converted into time-frequency domain by time domain, adopt the one in Short Time Fourier Transform, wavelet transformation and the filtering of Gammatone bank of filters to convert component, obtain basic time frequency unit representation.
Calculate masking factor to all time frequency unit in merging phase, build time-frequency masking matrix, retain the time frequency unit of target sound source, the time frequency unit of the interference signal that significantly decays, building formula is:
In formula, Y
1(ω, t), Y
2(ω, t) is the time-frequency representation of two components, and τ is degree of rarefication controling parameters.
Organize and the time frequency unit with same characteristic features organized together according to time-frequency mask the formula forming sound clip in the stage and be:
In formula, X
1(ω, t), X
2(ω, t) is the time-frequency representation of microphone collection signal.
The method of rebuilding time domain waveform in merging phase is corresponding with the time-frequency conversion method that merging phase adopts, and adopts inverse Fourier transform, wavelet reconstruction and the one in Gammatone bank of filters in short-term.
Judge described in merging phase that whether synthesis sound source is from same sound source, basis for estimation is the conditional number of covariance matrix, definition covariance matrix:
In formula, x is the time-domain signal of synthesis sound source, N
sfor the sampling number of x, Matrix condition number computing formula is:
cond(R
xx)=maxeig(R
xx)/mineig(R
xx)
Wherein, all characteristic values of eig () representing matrix, when conditional number is greater than certain threshold value, judge that output signal is from same sound source.
And, we have installed electromic thermostat 10 additional in the periphery of microphone, two microphones are made to keep identical and stationary temperature, general control is at 20 degree, decrease the temperature drift phenomenon of microphone, find, after having installed electromic thermostat 10 additional through overtesting, around when ambient temperature too high (being greater than 30 degree) or too low (being less than 10 degree), be greatly improved than the accuracy of the accuracy rate and location that do not install electromic thermostat 10 identification of sound source additional.
The above embodiment only have expressed the preferred embodiment of the present invention, and it describes comparatively concrete and detailed, but therefore can not be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion, improvement and substitute, these all belong to protection scope of the present invention.Therefore, the protection range of patent of the present invention should be as the criterion with claims.
Claims (8)
1. a portable two microphones Sound sources identification and localization device, it is characterized in that, comprise microphone A (1), microphone B (2), preamplifier A (3), preamplifier B (4), support (9), signal acquisition module (5), Sound sources identification and localization module (6), memory module (8), display (7), described microphone A (1) is connected on preamplifier A (3), described microphone B (2) is connected on preamplifier B (4), described microphone A (1), microphone B (2) is connected on support (9), arrange in H type, described preamplifier A (3), preamplifier B (4) is connected to signal acquisition module (5), described signal acquisition module (5), memory module (8), display (7) is connected in Sound sources identification and localization module (6), microphone A (1) and microphone B (2) periphery are all enclosed with electromic thermostat (10).
2. one according to claim 1 portable two microphones Sound sources identification and localization device, it is characterized in that, described microphone A (1) is connected with preamplifier A (3) by screw thread, and microphone B (2) is connected with preamplifier B (4) by screw thread.
3. one according to claim 1 portable two microphones Sound sources identification and localization device, is characterized in that, the directive property of described microphone A (1) and described microphone B (2) is omni-directional.
4. one according to claim 1 portable two microphones Sound sources identification and localization device, it is characterized in that, described support (9) is " Н " type, wherein two is circular groove, described microphone A (1) and described microphone B (2) embed support (9) both sides respectively, and keeping parallelism is arranged.
5. one according to claim 1 portable two microphones Sound sources identification and localization device, is characterized in that, long 5 centimetres of horizontal edge in the middle of described " Н " type support (9).
6. one according to claim 1 portable two microphones Sound sources identification and localization device, is characterized in that, described preamplifier A (3) and described preamplifier B (4) are for built-in.
7. one according to claim 1 portable two microphones Sound sources identification and localization device, is characterized in that, described display (7) is liquid crystal display (7).
8. one according to claim 1 portable two microphones Sound sources identification and localization device, it is characterized in that, described memory module (8) stores the institute's sound source obtained by Sound sources identification and localization module (6), and described display (7) shows amplitude and the phase place of institute's sound source by polar diagram.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510405966.8A CN105025416B (en) | 2015-07-10 | 2015-07-10 | A kind of portable two microphones Sound sources identification and localization device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510405966.8A CN105025416B (en) | 2015-07-10 | 2015-07-10 | A kind of portable two microphones Sound sources identification and localization device |
Publications (2)
Publication Number | Publication Date |
---|---|
CN105025416A true CN105025416A (en) | 2015-11-04 |
CN105025416B CN105025416B (en) | 2019-03-15 |
Family
ID=54415054
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201510405966.8A Expired - Fee Related CN105025416B (en) | 2015-07-10 | 2015-07-10 | A kind of portable two microphones Sound sources identification and localization device |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN105025416B (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106248196A (en) * | 2016-08-31 | 2016-12-21 | 杨霖 | A kind of micro-acoustic detection analytical equipment and array audio signal processing method based on this device |
CN111243615A (en) * | 2020-01-08 | 2020-06-05 | 环鸿电子(昆山)有限公司 | Microphone array signal processing method and handheld device |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1952684A (en) * | 2005-10-20 | 2007-04-25 | 松下电器产业株式会社 | Method and device for localization of sound source by microphone |
CN201403203Y (en) * | 2009-03-31 | 2010-02-10 | 比亚迪股份有限公司 | Microphone electro-acoustic testing system |
US20120269363A1 (en) * | 2009-06-29 | 2012-10-25 | Nokia Corporation | Temperature compensated microphone |
CN104407328A (en) * | 2014-11-20 | 2015-03-11 | 西北工业大学 | Method and system for positioning sound source in enclosed space based on spatial pulse response matching |
CN204795569U (en) * | 2015-07-10 | 2015-11-18 | 武汉科技大学 | Portable pair of microphone sound source is discerned and positioner |
-
2015
- 2015-07-10 CN CN201510405966.8A patent/CN105025416B/en not_active Expired - Fee Related
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1952684A (en) * | 2005-10-20 | 2007-04-25 | 松下电器产业株式会社 | Method and device for localization of sound source by microphone |
CN201403203Y (en) * | 2009-03-31 | 2010-02-10 | 比亚迪股份有限公司 | Microphone electro-acoustic testing system |
US20120269363A1 (en) * | 2009-06-29 | 2012-10-25 | Nokia Corporation | Temperature compensated microphone |
CN104407328A (en) * | 2014-11-20 | 2015-03-11 | 西北工业大学 | Method and system for positioning sound source in enclosed space based on spatial pulse response matching |
CN204795569U (en) * | 2015-07-10 | 2015-11-18 | 武汉科技大学 | Portable pair of microphone sound source is discerned and positioner |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106248196A (en) * | 2016-08-31 | 2016-12-21 | 杨霖 | A kind of micro-acoustic detection analytical equipment and array audio signal processing method based on this device |
CN110095178A (en) * | 2016-08-31 | 2019-08-06 | 哈尔滨工业大学 | A kind of micro- acoustic detection analytical equipment and the array audio signal processing method based on the device |
CN106248196B (en) * | 2016-08-31 | 2019-10-15 | 哈尔滨工业大学 | A kind of micro- acoustic detection analytical equipment and the array audio signal processing method based on the device |
CN110095178B (en) * | 2016-08-31 | 2021-06-22 | 哈尔滨工业大学 | Micro-sound detection analysis device and array audio signal processing method based on same |
CN111243615A (en) * | 2020-01-08 | 2020-06-05 | 环鸿电子(昆山)有限公司 | Microphone array signal processing method and handheld device |
Also Published As
Publication number | Publication date |
---|---|
CN105025416B (en) | 2019-03-15 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN102103200B (en) | Acoustic source spatial positioning method for distributed asynchronous acoustic sensor | |
CN104991573A (en) | Locating and tracking method and apparatus based on sound source array | |
CN102565759B (en) | Binaural sound source localization method based on sub-band signal to noise ratio estimation | |
CN102147458B (en) | Method and device for estimating direction of arrival (DOA) of broadband sound source | |
CN103901401A (en) | Binaural sound source positioning method based on binaural matching filter | |
WO2019061439A1 (en) | Improved sound source positioning method based on progressive serial orthogonalized blind source separation algorithm, and system for implementing same | |
CN103854660B (en) | A kind of four Mike's sound enhancement methods based on independent component analysis | |
CN106226739A (en) | Merge the double sound source localization method of Substrip analysis | |
CN105244036A (en) | Microphone speech enhancement method and microphone speech enhancement device | |
CN103760520B (en) | A kind of single language person sound source DOA method of estimation based on AVS and rarefaction representation | |
CN105225672B (en) | Merge the system and method for the dual microphone orientation noise suppression of fundamental frequency information | |
CN102411138A (en) | Method for positioning sound source by robot | |
CN104053107A (en) | Hearing aid device and method for separating and positioning sound sources in noise environments | |
CN103278801A (en) | Noise imaging detection device and detection calculation method for transformer substation | |
CN104200813A (en) | Dynamic blind signal separation method based on real-time prediction and tracking on sound source direction | |
CN103944535B (en) | A kind of method of all phase DFT filter group utilizing Frequency Response to configure and device thereof | |
CN113466793B (en) | Sound source positioning method and device based on microphone array and storage medium | |
CN109448389A (en) | A kind of vehicle whistle intelligent detecting method | |
CN101860779A (en) | Time domain broadband harmonic region beam former and beam forming method for spherical array | |
CN109616137A (en) | Method for processing noise and device | |
CN109597021B (en) | Direction-of-arrival estimation method and device | |
CN103948398A (en) | Heart sound location segmenting method suitable for Android system | |
CN102981615A (en) | Gesture recognition system and gesture recognition method | |
CN107144818A (en) | Binaural sound sources localization method based on two-way ears matched filter Weighted Fusion | |
CN109741609A (en) | A kind of motor vehicle whistle sound monitoring method based on microphone array |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
CF01 | Termination of patent right due to non-payment of annual fee | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20190315 Termination date: 20190710 |