CN107205183A - Wind noise eliminates system and its removing method - Google Patents
Wind noise eliminates system and its removing method Download PDFInfo
- Publication number
- CN107205183A CN107205183A CN201610150929.1A CN201610150929A CN107205183A CN 107205183 A CN107205183 A CN 107205183A CN 201610150929 A CN201610150929 A CN 201610150929A CN 107205183 A CN107205183 A CN 107205183A
- Authority
- CN
- China
- Prior art keywords
- mrow
- signal
- wind noise
- mtd
- analog
- 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
- 238000000034 method Methods 0.000 title claims abstract description 11
- 230000005236 sound signal Effects 0.000 claims abstract description 25
- 238000012545 processing Methods 0.000 claims abstract description 22
- 238000001228 spectrum Methods 0.000 claims description 16
- 230000000694 effects Effects 0.000 claims description 11
- 238000004422 calculation algorithm Methods 0.000 claims description 8
- 230000002708 enhancing effect Effects 0.000 claims description 8
- 230000003321 amplification Effects 0.000 claims description 7
- 230000008030 elimination Effects 0.000 claims description 7
- 238000003379 elimination reaction Methods 0.000 claims description 7
- 238000003199 nucleic acid amplification method Methods 0.000 claims description 7
- 230000010363 phase shift Effects 0.000 claims description 7
- 238000004364 calculation method Methods 0.000 claims description 4
- 239000000284 extract Substances 0.000 claims description 4
- 239000011159 matrix material Substances 0.000 claims description 4
- 230000005540 biological transmission Effects 0.000 claims description 3
- 235000010675 chips/crisps Nutrition 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 3
- 239000002184 metal Substances 0.000 claims description 3
- 229910052751 metal Inorganic materials 0.000 claims description 3
- 238000004088 simulation Methods 0.000 claims description 3
- 230000001360 synchronised effect Effects 0.000 claims description 3
- 238000012546 transfer Methods 0.000 claims description 3
- 241000209140 Triticum Species 0.000 claims description 2
- 235000021307 Triticum Nutrition 0.000 claims description 2
- 230000015572 biosynthetic process Effects 0.000 claims description 2
- 238000004891 communication Methods 0.000 abstract description 12
- 238000010586 diagram Methods 0.000 description 5
- 239000000203 mixture Substances 0.000 description 5
- 230000005611 electricity Effects 0.000 description 2
- 229920003023 plastic Polymers 0.000 description 2
- 239000004033 plastic Substances 0.000 description 2
- 230000009467 reduction Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000004568 cement Substances 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- PCHJSUWPFVWCPO-UHFFFAOYSA-N gold Chemical compound [Au] PCHJSUWPFVWCPO-UHFFFAOYSA-N 0.000 description 1
- 239000010931 gold Substances 0.000 description 1
- 229910052737 gold Inorganic materials 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R1/00—Details of transducers, loudspeakers or microphones
- H04R1/08—Mouthpieces; Microphones; Attachments therefor
- H04R1/083—Special constructions of mouthpieces
- H04R1/086—Protective screens, e.g. all weather or wind screens
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L21/00—Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
- G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
- G10L21/0208—Noise filtering
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R3/00—Circuits for transducers, loudspeakers or microphones
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R2410/00—Microphones
- H04R2410/07—Mechanical or electrical reduction of wind noise generated by wind passing a microphone
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Acoustics & Sound (AREA)
- Signal Processing (AREA)
- Computational Linguistics (AREA)
- Quality & Reliability (AREA)
- Health & Medical Sciences (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Human Computer Interaction (AREA)
- Multimedia (AREA)
- Electrostatic, Electromagnetic, Magneto- Strictive, And Variable-Resistance Transducers (AREA)
Abstract
System and its removing method are eliminated the invention provides a kind of wind noise, wind noise, which eliminates system, includes Electret Condencer Microphone, analog-digital converter, Audio Signal Processing chip, digital analog converter, power amplifier, and Electret Condencer Microphone, analog-digital converter, Audio Signal Processing chip, digital analog converter, power amplifier are sequentially connected.The wind noise that the present invention is applied to outdoor speech communication eliminates system, can significantly improve outdoor speech communication quality.
Description
Technical field
The present invention relates to a kind of elimination system and its removing method, in particular it relates to which a kind of wind noise is eliminated
System and its removing method.
Background technology
Wind noise is one of maximum interference source of the outdoor speech communication quality of influence.The noise of general type is such as
The influence to speech communication such as white noise, mechanical noise is mainly reflected in the quality of reduction voice, and wind is made an uproar
Sound except reduction voice quality is also possible to that the call normal collected sound signal of microphone can be blocked, and forms institute
" windage " effect of meaning, therefore its interference to speech communication is more so.
It is to prevent wind noise interference at present, it is common practice in the outer mask last layer cloth of call microphone
Net or foamed plastics net, " windage " effect can be so reduced to a certain extent.But, this measure
The wind noise collected with speaker's voice by microphone can not be eliminated, therefore to improving communication quality
Effect it is little.
The content of the invention
For defect of the prior art, it is an object of the invention to provide a kind of wind noise eliminate system and its
Removing method, its wind noise for being applied to outdoor speech communication eliminates system, can significantly improve outdoor voice
Communication quality.
System is eliminated there is provided a kind of wind noise according to an aspect of the present invention, including：
Electret Condencer Microphone, provided with FET, electric capacity, electret film etc., for voice signal to be converted
For electric signal；
Analog-digital converter, the electric signal for Electret Condencer Microphone to be produced is converted to data signal；
Audio Signal Processing chip, be stored with wind noise elimination algorithm, for handling analog-digital converter generation
Data signal simultaneously exports a Speech enhancement signal；
Digital analog converter, receives the Speech enhancement signal of Audio Signal Processing chip generation and is converted to simulation
Signal；
Power amplifier, under the conditions of given distortion rate, produces maximum power output with driving load；
Electret Condencer Microphone, analog-digital converter, Audio Signal Processing chip, digital analog converter are sequentially connected.
Preferably, the analog-digital converter, Audio Signal Processing chip, digital analog converter are arranged on one block of electricity
On the plate of road.
Preferably, layer of metal net has been fixedly mounted in the input end face of the Electret Condencer Microphone.
Preferably, the Audio Signal Processing built-in chip type wind noise elimination algorithm.
Preferably, the Audio Signal Processing chip includes：
I2C buses, are synchronous transfer bus between a kind of high performance chipses, the bi-directional synchronization data for chip chamber
Transmission；
Input matrix, for receiving the audio digital signals of analog-digital converter output and carrying out first time signal transacting；
Phase shift module, the phase shift size for controlling audio digital signals；
Low pass filter, the filtering for data signal；
Preferably, the power amplifier includes：
Preamplifier, plays matching effect, largely can absorb by signal above, output impedance is low,
Signal can largely be sent out, itself is a kind of current amplifier again, the voltage signal of input is turned
Forming current signal, and give appropriate amplification；
Driving amplifier, serves as a connection, and the current signal that it sends preamplifier makees further amplification,
Zoomed into the signal driving final power amplifier normal work of mid power.
The present invention also provides the removing method that a kind of wind noise eliminates system, it is characterised in that including following
Step：
Step one, frequency spectrum is calculated, the input signal for defining Electret Condencer Microphone is s (n), and s (n) is done soon
The frequency spectrum that fast Fourier transform obtains signal is S (w)；
Step 2, extracts low frequency energy characteristic value, it is assumed that frequency spectrum S (w)={ s1(w), s2(w) ..., sN(w)}
In closest to 300Hz frequency be sk(w), the characteristics of low-frequency value of definition signal is such as following formula：
Step 3, calculates attenuation coefficient, calculation formula such as following formula：
Step 4, output enhancing voice, enhancing voice spectrum is such as following formula：
Step 5, to S'(w) do inverse-Fourier transform obtain strengthen voice signal
Compared with prior art, the present invention has following beneficial effect：The present invention is applied to outdoor voice
The wind noise of communication eliminates system, can significantly improve outdoor speech communication quality.The present invention is in condenser type wheat
Gram fine and closely woven wire netting of wind end face cover last layer is to overcome " windage " effect, while to Electret Condencer Microphone
The signal collected is post-processed, and eliminates wind noise composition therein, then by enhanced voice signal
Output, the purpose for improving outdoor voice communication quality is reached with this.
Brief description of the drawings
By reading the detailed description made with reference to the following drawings to non-limiting example, of the invention its
Its feature, objects and advantages will become more apparent upon：
Fig. 1 is the theory diagram that wind noise of the present invention eliminates system.
Fig. 2 is the speech waveform figure polluted by wind noise.
Fig. 3 is the voice sound spectrograph polluted by wind noise.
Fig. 4 is the speech waveform figure after being eliminated through wind noise.
Fig. 5 is the voice sound spectrograph after being eliminated through wind noise.
Fig. 6 is the composition schematic diagram of Audio Signal Processing chip.
Fig. 7 is the composition schematic diagram of power amplifier.
Embodiment
With reference to specific embodiment, the present invention is described in detail.Following examples will be helpful to ability
The technical staff in domain further understands the present invention, but the invention is not limited in any way.It should be understood that
It is, to those skilled in the art, without departing from the inventive concept of the premise, can be with
Make several modifications and improvements.These belong to protection scope of the present invention.
As shown in figure 1, wind noise of the present invention eliminate system include Electret Condencer Microphone, analog-digital converter,
Audio Signal Processing chip, digital analog converter, Electret Condencer Microphone, analog-digital converter, Audio Signal Processing
Chip, digital analog converter are sequentially connected.Analog-digital converter, Audio Signal Processing chip, digital analog converter can
With on one piece of circuit board.Wherein：
Electret Condencer Microphone, provided with FET, electric capacity, electret film etc., for voice signal to be converted
For electric signal；
Analog-digital converter, the electric signal for Electret Condencer Microphone to be produced is converted to data signal；
Audio Signal Processing chip, be stored with wind noise elimination algorithm, for handling analog-digital converter generation
Data signal simultaneously exports a Speech enhancement signal；
Digital analog converter, receives the Speech enhancement signal of Audio Signal Processing chip generation and is converted to simulation
Signal；
Power amplifier, under the conditions of given distortion rate, produces maximum power output with driving load.
Fig. 6 is the composition schematic diagram of above-mentioned Audio Signal Processing chip.As shown in fig. 6, the audio signal
Process chip mainly includes I2C buses, input matrix, phase shift module, low pass filter, power amplifier,
Wherein：
I2C buses, are synchronous transfer bus between a kind of high performance chipses, the bi-directional synchronization data for chip chamber
Transmission；
Input matrix, for receiving the audio digital signals of analog-digital converter output and carrying out first time signal transacting；
Phase shift module, the phase shift size for controlling audio digital signals；
Low pass filter, the filtering for data signal；
Fig. 7 is the composition schematic diagram of above-mentioned power amplifier.As shown in fig. 7, the Audio Signal Processing core
Piece mainly includes preamplifier, driving amplifier, final power amplifier, wherein：
Preamplifier, plays matching effect, largely can absorb by signal above, output impedance is low,
Signal can largely be sent out, itself is a kind of current amplifier again, the voltage signal of input is turned
Forming current signal, and give appropriate amplification；
Driving amplifier, serves as a connection, and the current signal that it sends preamplifier makees further amplification,
Zoomed into the signal driving final power amplifier normal work of mid power；
Final power amplifier, for the current signal formation high-power signal for sending driving amplifier.
The present invention also provides the removing method that a kind of wind noise eliminates system, it is characterised in that including following
Step：
Step one, frequency spectrum is calculated, the input signal for defining Electret Condencer Microphone is s (n), and s (n) is done soon
The frequency spectrum that fast Fourier transform obtains signal is S (w)；
Step 2, extracts low frequency energy characteristic value, it is assumed that frequency spectrum S (w)={ s1(w), s2(w) ..., sN(w)}
In closest to 300Hz frequency be sk(w), the characteristics of low-frequency value of definition signal is such as following formula：
Step 3, calculates attenuation coefficient, calculation formula such as following formula：
Step 4, output enhancing voice, enhancing voice spectrum is such as following formula：
Step 5, to S'(w) do inverse-Fourier transform obtain strengthen voice signal
To make the present invention have more practicality, system is used as voice using Electret Condencer Microphone the most frequently used at present
Input, Mike's fan housing net material selection on, proved by actual test, using fine and closely woven gold
Category net ratio is arranged net or foamed plastics net is for overcoming the effect of " windage " effect more preferable, therefore system is in electricity
Layer of metal net has been fixedly mounted in the input end face of capacitance-type microphone.
Electret Condencer Microphone is passed it to built-in after collecting and having mixed the voice signal of wind noise
The Audio Signal Processing chip of wind noise elimination algorithm, obtains speech enhan-cement signal and exports again after being processed
Give phonetic incepting end.
Requirement in view of outdoor speech communication to the portability and portability of equipment, the volume of circuit board shows
It is so unsuitable excessive, at the same it is also unsuitable too high using the power consumption of whole circuit in the case of battery powered, therefore
The algorithm complex and operand of wind noise Processing Algorithm are equally unsuitable excessive.
In summary factor, the removing method that wind noise of the present invention eliminates system comprises the following steps：
Step one, frequency spectrum is calculated, the input signal for defining Electret Condencer Microphone is s (n), and s (n) is done soon
The frequency spectrum that fast Fourier transform obtains signal is S (w).
Step 2, extracts low frequency energy characteristic value, it is assumed that frequency spectrum S (w)={ s1(w), s2(w) ..., sN(w)}
In closest to 300Hz frequency be sk(w), the characteristics of low-frequency value of definition signal is such as following formula (1)：
Step 3, calculates attenuation coefficient, calculation formula such as following formula (2)：
Step 4, output enhancing voice, enhancing voice spectrum is such as following formula (3)：
Step 5, to S'(w) do inverse-Fourier transform obtain strengthen voice signal
The wind noise of system eliminates experiment effect and sees Fig. 2 to Fig. 5.
The specific embodiment of the present invention is described above.It is to be appreciated that not office of the invention
It is limited to above-mentioned particular implementation, those skilled in the art can make various within the scope of the claims
Deformation is changed, and this has no effect on the substantive content of the present invention.
Claims (7)
1. a kind of wind noise eliminates system, it is characterised in that including：
Electret Condencer Microphone, provided with FET, electric capacity, electret film etc., for voice signal to be converted
For electric signal；
Analog-digital converter, the electric signal for Electret Condencer Microphone to be produced is converted to data signal；
Audio Signal Processing chip, be stored with wind noise elimination algorithm, for handling analog-digital converter generation
Data signal simultaneously exports a Speech enhancement signal；
Digital analog converter, receives the Speech enhancement signal of Audio Signal Processing chip generation and is converted to simulation
Signal；
Power amplifier, under the conditions of given distortion rate, produces maximum power output with driving load；
Electret Condencer Microphone, analog-digital converter, Audio Signal Processing chip, digital analog converter, power amplification
Device is sequentially connected.
2. wind noise according to claim 1 eliminates system, it is characterised in that the analog-digital converter,
Audio Signal Processing chip, digital analog converter are arranged on one piece of circuit board.
3. wind noise according to claim 1 eliminates system, it is characterised in that the condenser type wheat
Layer of metal net has been fixedly mounted in the input end face of gram wind.
4. wind noise according to claim 1 eliminates system, it is characterised in that at the audio signal
Manage built-in chip type wind noise elimination algorithm.
5. wind noise according to claim 1 eliminates system, it is characterised in that at the audio signal
Reason chip includes：
I2C buses, are synchronous transfer bus between a kind of high performance chipses, the bi-directional synchronization data for chip chamber
Transmission；
Input matrix, for receiving the audio digital signals of analog-digital converter output and carrying out first time signal transacting；
Phase shift module, the phase shift size for controlling audio digital signals；
Low pass filter, the filtering for data signal.
6. wind noise according to claim 1 eliminates system, it is characterised in that the power amplifier
Including：
Preamplifier, plays matching effect, largely can absorb by signal above, output impedance is low,
Signal can largely be sent out, itself is a kind of current amplifier again, the voltage signal of input is turned
Forming current signal, and give appropriate amplification；
Driving amplifier, serves as a connection, and the current signal that it sends preamplifier makees further amplification,
Zoomed into the signal driving final power amplifier normal work of mid power；
Final power amplifier, for the current signal formation high-power signal for sending driving amplifier.
7. a kind of wind noise eliminates the removing method of system, it is characterised in that comprise the following steps：
Step one, frequency spectrum is calculated, the input signal for defining Electret Condencer Microphone is s (n), and s (n) is done soon
The frequency spectrum that fast Fourier transform obtains signal is S (w)；
Step 2, extracts low frequency energy characteristic value, it is assumed that frequency spectrum S (w)={ s1(w), s2(w) ..., sN(w)}
In closest to 300Hz frequency be sk(w), the characteristics of low-frequency value of definition signal is such as following formula：
<mrow>
<mi>&eta;</mi>
<mo>=</mo>
<mfrac>
<mrow>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>k</mi>
</munderover>
<msub>
<mi>s</mi>
<mi>i</mi>
</msub>
<msup>
<mrow>
<mo>(</mo>
<mi>w</mi>
<mo>)</mo>
</mrow>
<mn>2</mn>
</msup>
</mrow>
<mrow>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>N</mi>
</munderover>
<msub>
<mi>s</mi>
<mi>i</mi>
</msub>
<msup>
<mrow>
<mo>(</mo>
<mi>w</mi>
<mo>)</mo>
</mrow>
<mn>2</mn>
</msup>
</mrow>
</mfrac>
</mrow>
Step 3, calculates attenuation coefficient, calculation formula such as following formula：
<mrow>
<mi>&xi;</mi>
<mo>=</mo>
<mfenced open = "{" close = "">
<mtable>
<mtr>
<mtd>
<mrow>
<mn>1</mn>
<mo>,</mo>
</mrow>
</mtd>
<mtd>
<mrow>
<mi>&eta;</mi>
<mo>&le;</mo>
<mn>0.8</mn>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mfrac>
<mn>20</mn>
<mn>3</mn>
</mfrac>
<mrow>
<mo>(</mo>
<mi>&eta;</mi>
<mo>-</mo>
<mn>0.85</mn>
<mo>)</mo>
</mrow>
<mo>,</mo>
</mrow>
</mtd>
<mtd>
<mrow>
<mn>0.8</mn>
<mo><</mo>
<mi>&eta;</mi>
<mo>&le;</mo>
<mn>0.95</mn>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mn>0</mn>
<mo>,</mo>
</mrow>
</mtd>
<mtd>
<mrow>
<mi>&eta;</mi>
<mo>></mo>
<mn>0.95</mn>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
</mrow>
Step 4, output enhancing voice, enhancing voice spectrum is such as following formula：
<mrow>
<msup>
<mi>S</mi>
<mo>&prime;</mo>
</msup>
<mrow>
<mo>(</mo>
<mi>w</mi>
<mo>)</mo>
</mrow>
<mo>=</mo>
<msqrt>
<mi>&xi;</mi>
</msqrt>
<mo>*</mo>
<mi>S</mi>
<mrow>
<mo>(</mo>
<mi>w</mi>
<mo>)</mo>
</mrow>
</mrow>
Step 5, to S'(w) do inverse-Fourier transform obtain strengthen voice signal
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610150929.1A CN107205183A (en) | 2016-03-16 | 2016-03-16 | Wind noise eliminates system and its removing method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610150929.1A CN107205183A (en) | 2016-03-16 | 2016-03-16 | Wind noise eliminates system and its removing method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107205183A true CN107205183A (en) | 2017-09-26 |
Family
ID=59903670
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610150929.1A Pending CN107205183A (en) | 2016-03-16 | 2016-03-16 | Wind noise eliminates system and its removing method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107205183A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113035219A (en) * | 2019-12-09 | 2021-06-25 | 北京君正集成电路股份有限公司 | Method for eliminating echo and improving audio quality |
| CN113613112A (en) * | 2021-09-23 | 2021-11-05 | 三星半导体(中国)研究开发有限公司 | Method and electronic device for suppressing wind noise of microphone |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1530928A (en) * | 2003-02-21 | 2004-09-22 | 哈曼贝克自动系统-威美科公司 | System for inhibitting wind noise |
| US20090202087A1 (en) * | 2006-09-13 | 2009-08-13 | Toa Corporation | Wireless Microphone Device |
| US20110004470A1 (en) * | 2009-07-02 | 2011-01-06 | Mr. Alon Konchitsky | Method for Wind Noise Reduction |
| CN102726061A (en) * | 2009-11-19 | 2012-10-10 | 苹果公司 | Electronic device and external equipment with digital noise cancellation and digital audio path |
| US20150110284A1 (en) * | 2013-10-21 | 2015-04-23 | Nokia Corportion | Noise reduction in multi-microphone systems |
-
2016
- 2016-03-16 CN CN201610150929.1A patent/CN107205183A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1530928A (en) * | 2003-02-21 | 2004-09-22 | 哈曼贝克自动系统-威美科公司 | System for inhibitting wind noise |
| US20090202087A1 (en) * | 2006-09-13 | 2009-08-13 | Toa Corporation | Wireless Microphone Device |
| US20110004470A1 (en) * | 2009-07-02 | 2011-01-06 | Mr. Alon Konchitsky | Method for Wind Noise Reduction |
| CN102726061A (en) * | 2009-11-19 | 2012-10-10 | 苹果公司 | Electronic device and external equipment with digital noise cancellation and digital audio path |
| US20150110284A1 (en) * | 2013-10-21 | 2015-04-23 | Nokia Corportion | Noise reduction in multi-microphone systems |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113035219A (en) * | 2019-12-09 | 2021-06-25 | 北京君正集成电路股份有限公司 | Method for eliminating echo and improving audio quality |
| CN113035219B (en) * | 2019-12-09 | 2023-10-31 | 北京君正集成电路股份有限公司 | Method for eliminating echo and improving audio quality |
| CN113613112A (en) * | 2021-09-23 | 2021-11-05 | 三星半导体(中国)研究开发有限公司 | Method and electronic device for suppressing wind noise of microphone |
| CN113613112B (en) * | 2021-09-23 | 2024-03-29 | 三星半导体(中国)研究开发有限公司 | Method for suppressing wind noise of microphone and electronic device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101715158B (en) | Apparatus and method for processing audio signal | |
| CN1640190B (en) | Dynamic range compression using digital frequency warping | |
| US20030216907A1 (en) | Enhancing the aural perception of speech | |
| CN102855882B (en) | The sensation of low-frequency sound component strengthens | |
| US20240079021A1 (en) | Voice enhancement method, apparatus and system, and computer-readable storage medium | |
| CN102074246A (en) | Dual-microphone based speech enhancement device and method | |
| Kim et al. | Nonlinear enhancement of onset for robust speech recognition. | |
| CN102576538A (en) | A method and an apparatus for processing an audio signal | |
| CN102378085A (en) | Equal-loudness contour-based loudness compensation method and device, and audio processing system | |
| CN105931649A (en) | Ultra-low time delay audio processing method and system based on spectrum analysis | |
| CN204482023U (en) | A kind of whistle inhibition system | |
| CN101695148A (en) | Multi-channel wide dynamic range compressing system for digital hearing aid | |
| CN108401204A (en) | A kind of novel active noise reduction earphone | |
| CN102354500A (en) | Virtual bass boosting method based on harmonic control | |
| CN103686555A (en) | Miniature loudspeaker module group and method for enhancing frequency response of miniature loudspeaker module group, and electronic device | |
| CN113168843B (en) | Audio processing method and device, storage medium and electronic equipment | |
| CN113299313B (en) | Audio processing method and device and electronic equipment | |
| JP2001124621A (en) | Noise measuring instrument capable of reducing wind noise | |
| CN110972007A (en) | Active earphone noise reduction method suitable for ship high-noise scene | |
| CN107205183A (en) | Wind noise eliminates system and its removing method | |
| CN114189781A (en) | Noise reduction method and system for double-microphone neural network noise reduction earphone | |
| CN103475986A (en) | Digital hearing aid speech enhancing method based on multiresolution wavelets | |
| CN110931034A (en) | Pickup noise reduction method for built-in earphone of microphone | |
| CN115299075B (en) | Bass enhancement for speakers | |
| CN114286253B (en) | Audio processing method and device and audio playing equipment |
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 | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20170926 |