CN108174320A - A kind of adaptive duct active noise reduction earphone and adaptive duct active denoising method - Google Patents

A kind of adaptive duct active noise reduction earphone and adaptive duct active denoising method Download PDF

Info

Publication number
CN108174320A
CN108174320A CN201810084308.7A CN201810084308A CN108174320A CN 108174320 A CN108174320 A CN 108174320A CN 201810084308 A CN201810084308 A CN 201810084308A CN 108174320 A CN108174320 A CN 108174320A
Authority
CN
China
Prior art keywords
curve
noise reduction
audio
frequency response
phase
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
Application number
CN201810084308.7A
Other languages
Chinese (zh)
Other versions
CN108174320B (en
Inventor
陈沧毅
邓星球
胡中骥
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
GUANGZHOU I-SPK ELECTRONIC TECHNOLOGY Co Ltd
Original Assignee
GUANGZHOU I-SPK ELECTRONIC TECHNOLOGY Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by GUANGZHOU I-SPK ELECTRONIC TECHNOLOGY Co Ltd filed Critical GUANGZHOU I-SPK ELECTRONIC TECHNOLOGY Co Ltd
Priority to CN201810084308.7A priority Critical patent/CN108174320B/en
Publication of CN108174320A publication Critical patent/CN108174320A/en
Application granted granted Critical
Publication of CN108174320B publication Critical patent/CN108174320B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04RLOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R1/00Details of transducers, loudspeakers or microphones
    • H04R1/10Earpieces; Attachments therefor ; Earphones; Monophonic headphones
    • H04R1/1083Reduction of ambient noise
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04RLOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R2201/00Details of transducers, loudspeakers or microphones covered by H04R1/00 but not provided for in any of its subgroups
    • H04R2201/10Details of earpieces, attachments therefor, earphones or monophonic headphones covered by H04R1/10 but not provided for in any of its subgroups

Abstract

The present invention discloses a kind of adaptive duct active noise reduction earphone and adaptive duct active denoising method, earphone includes loud speaker, Audio Input Modules, microphone, computing module and noise reduction process module, the Audio Input Modules, computing module, microphone and loud speaker are connect with noise reduction process module, and the microphone is positioned over the ante-chamber of loud speaker.Noise-reduction method includes the following steps:1)Artitificial ear obtains third frequency response curve and third phase curve to calibrating audio collection;2)Microphone simultaneously acquires calibration audio and peripheral sound, obtains the first frequency response curve, first phase curve and second phase curve;3)Computing module is according to by step 1)With step 2)The data and fixed algorithm operation obtained obtain filter coefficient;4)Noise reduction process module carries out noise reduction process using filter coefficient to audio.The present invention adapts to the noise reduction requirement of various different ducts, meets the noise reduction demand of user, gives the good experience sense of user.

Description

A kind of adaptive duct active noise reduction earphone and adaptive duct active denoising method
Technical field
The present invention relates to noise reduction technology field, more particularly to a kind of adaptive duct active noise reduction earphone and adaptive duct Active denoising method.
Background technology
Earphone has been obtained for extensive use in the ordinary live and work of people, earphone in addition to being used for appreciating music, Except the function of amusement, isolation noise is also widely used in, keeps relatively quiet environment, but earphone is to low-frequency noise Noise isolating effect and ability be limited.
The method that active noise reduction techniques use is to generate a signal opposite with outside noise amplitude same phase to support Disappear into the noise of earphone.But the active noise reduction techniques used in earphone at present all only have constant noise reduction curve, due to every Personal duct space is all unique, so everyone sensory difference of noise reduction is very big, it is meant that for certain people The noise cancelling headphone felt good, it is very poor or at all without noise reduction in other people noise reductions.How for everyone The most strong noise cancelling headphone of duct design flexibility is always the first problem of noise cancelling headphone design.
Invention content
The technical problem to be solved by the present invention is to, for the above-mentioned prior art in deficiency, a kind of adaptive duct is provided Active noise reduction earphone and adaptive duct active denoising method adapt to the noise reduction requirement of various different ducts, meet user Noise reduction demand, give the good experience sense of user.
In order to solve the above technical problems, the technical scheme is that:
A kind of active noise reduction earphone of adaptive duct, including:
Loud speaker, for playing calibration audio and the audio after noise reduction process;
Audio Input Modules, for calibration audio and audio to be interacted, inputted with Intelligent terminal data;
Microphone is acquired calibration audio and is converted into the first audio signal, peripheral sound is acquired and is converted into Second audio signal, the microphone are positioned over the ante-chamber of loud speaker;
First audio signal is converted into the first parameter by computing module, and the second audio signal is converted into the second parameter, cooperation storage It is stored in its internal third parameter and fixed algorithm operation obtains noise reduction parameters;And
Noise reduction process module carries out noise reduction process according to the noise reduction parameters that computing module is calculated to audio;
The Audio Input Modules, computing module, microphone and loud speaker are connect with noise reduction process module, and the microphone is put It is placed in the ante-chamber of loud speaker.
As a preferred embodiment, the noise reduction process module includes wave filter, and the noise reduction parameters are filter coefficient.
As a preferred embodiment, first parameter is acquired the obtain first frequency for microphone to calibration audio Ring curve and first phase curve.
As a preferred embodiment, second parameter is acquired peripheral sound for microphone the second phase obtained Position curve.
As a preferred embodiment, the third parameter is acquired the third obtained frequency for artitificial ear to calibration audio Ring curve and third phase curve.
As a preferred embodiment, the fixed algorithm includes the first calculation formula, the second calculation formula and third calculating Formula,
First calculation formula includes frequency response error curve calculation formula and phase error curve calculation formula;
The frequency response error curve calculation formula is:EAn=An-An*, wherein, EAn is frequency response error curve, and An is third frequency response Curve, An* are the first frequency response curve;
The phase error curve calculation formula is:EBn=Bn-Bn*, wherein, EBn is phase error curve, and Bn is third phase Curve, Bn* are first phase curve;
Second calculation formula is:P=EAn * SIN (θ-EBn), wherein, P is the first frequency response curve and first phase curve Compensated curve, θ be second phase curve;
The third calculation formula is:F=-(C+P), wherein, F is filter coefficient, and C is the first frequency response curve and first phase Curve.
As a preferred embodiment, the microphone is reaction type microphone.
A kind of active denoising method of adaptive duct, it is described based on artitificial ear and active noise reduction earphone as described above Active denoising method includes the following steps:
1)Calibration audio is sent to loud speaker and played back by Audio Input Modules, and artitificial ear is acquired calibration audio, obtains It is stored in computing module to third frequency response curve and third phase curve, and by third frequency response curve and third phase curve;
2)Microphone is made to be placed in the cavity that loud speaker ante-chamber and human antrum auris are collectively formed, Audio Input Modules will calibrate audio It is sent to loud speaker to play back, microphone is simultaneously acquired calibration audio and peripheral sound and is converted into the first audio letter Number and the second audio signal, computing module the first audio signal and the second audio signal are converted into the first frequency response curve, first Phase curve and second phase curve;
3)Computing module passes through by step 1)The third frequency response curve and third phase curve that obtain, by step 2)First obtained Frequency response curve, first phase curve and second phase curve and the fixation algorithm cooperation operation being built in computing module obtain Filter coefficient, and filter coefficient is sent to the wave filter of noise reduction process module;
4)Audio is sent to noise reduction process module by Audio Input Modules, and the wave filter use of noise reduction process module is by step 3) To filter coefficient noise reduction process is filtered to audio, the audio after filtered noise reduction process is then sent to loud speaker It plays back.
As a preferred embodiment, step 3)In the measuring method of filter coefficient include the following steps:
1)Computing module passes through third frequency response curve, third phase curve, the first frequency response curve, first phase curve and the first meter It calculates formula cooperation operation and obtains frequency response error curve and phase error curve;
2)Computing module is by second phase curve, the second calculation formula and by step 1)Obtained frequency response error curve and phase Position error curve cooperation operation obtains the compensated curve of the first frequency response curve and first phase curve;
3)Computing module passes through by the first frequency response curve, first phase curve, third computing module and by step 3)It obtains The cooperation operation of the compensated curve of first frequency response curve and first phase curve obtains filter coefficient.
As a preferred embodiment, the frequency range of the calibration audio is:50-500HZ.
The beneficial effects of the invention are as follows:Pass through loud speaker, microphone, Audio Input Modules, noise reduction process module and operation The cooperation of module is realized and carries out noise reduction process noise reduction process to audio according to the noise reduction parameters that computing module is calculated, can fit The noise reduction requirement of various different ducts is answered, reaches best noise reduction, meets the noise reduction demand of user, is brought for user better Experience.
Description of the drawings
Fig. 1 is the assembling assumption diagram of embodiments of the present invention;
Fig. 2 is the active noise reduction flow frame diagram of the present invention;
Fig. 3 is the measuring and calculating flow frame diagram of the filter coefficient of the present invention.
In figure:1- loud speakers, 2- Audio Input Modules, 3- microphones, 4- computing modules, 5- noise reduction process modules.
Specific embodiment
The structural principle and operation principle of the present invention are described in further detail below in conjunction with the accompanying drawings.
As shown in Figure 1, a kind of active noise reduction earphone of adaptive duct, including:
Loud speaker 1, for playing calibration audio and the audio after noise reduction process;
Audio Input Modules 2, for calibration audio and audio to be interacted, inputted with Intelligent terminal data;
Microphone 3 is acquired calibration audio and is converted into the first audio signal, peripheral sound is acquired and is converted into Second audio signal, the microphone 3 are positioned over the ante-chamber of loud speaker 1;
First audio signal is converted into the first parameter by computing module 4, and the second audio signal is converted into the second parameter, cooperation It is stored in its internal third parameter and fixed algorithm operation obtains noise reduction parameters;And
Noise reduction process module 5 carries out noise reduction process according to the noise reduction parameters that computing module 4 is calculated to audio;
The Audio Input Modules 2, computing module 4, microphone 3 and loud speaker 1 are connect with noise reduction process module 5, the wheat Gram wind 3 is positioned over the ante-chamber of loud speaker 1.The noise reduction process module 5 includes wave filter, and the noise reduction parameters are wave filter system Number.First parameter is acquired the first frequency response curve obtained and first phase curve for microphone 3 to calibration audio. Second parameter is acquired peripheral sound for microphone 3 the second phase curve obtained.The third parameter is behaved The third frequency response curve and third phase curve that work ear is acquired calibration audio and obtains.The microphone 3 is reaction type Microphone.
The fixed algorithm includes the first calculation formula, the second calculation formula and third calculation formula,
First calculation formula includes frequency response error curve calculation formula and phase error curve calculation formula;
The frequency response error curve calculation formula is:EAn=An-An*, wherein, EAn is frequency response error curve, and An is third frequency response Curve, An* are the first frequency response curve;
The phase error curve calculation formula is:EBn=Bn-Bn*, wherein, EBn is phase error curve, and Bn is third phase Curve, Bn* are first phase curve;
Second calculation formula is:P=EAn * SIN (θ-EBn), wherein, P is the first frequency response curve and first phase curve Compensated curve, θ be second phase curve;
The third calculation formula is:F=-(C+P), wherein, F is filter coefficient, and C is the first frequency response curve and first phase Curve.
As shown in Fig. 2, a kind of active denoising method of adaptive duct, based on artitificial ear and active noise reduction as described above Earphone, the active denoising method include the following steps:
1)Calibration audio is sent to loud speaker 1 and played back by Audio Input Modules 2, and artitificial ear is acquired calibration audio, Third frequency response curve and third phase curve are obtained, and third frequency response curve and third phase curve are stored in computing module 4 In;Since noise cancelling headphone noise reduction performance difference is concentrated mainly on low frequency, the frequency range of calibration audio is:50- 500HZ;
2)Microphone 3 is made to be placed in the cavity that 1 ante-chamber of loud speaker and human antrum auris are collectively formed, Audio Input Modules 2 will be calibrated Audio is sent to loud speaker 1 and plays back, and microphone 3 is simultaneously acquired calibration audio and peripheral sound and is converted into first First audio signal and the second audio signal are converted into the first frequency response song by audio signal and the second audio signal, computing module 4 Line, first phase curve and second phase curve;
3)Computing module 4 is by by step 1)The third frequency response curve and third phase curve that obtain, by step 2)Obtained One frequency response curve, first phase curve and second phase curve and the fixation algorithm cooperation operation being built in computing module 4 It obtains filter coefficient, and filter coefficient is sent to the wave filter of noise reduction process module 5;
4)Audio is sent to noise reduction process module 5 by Audio Input Modules 2, and the wave filter use of noise reduction process module 5 is by step 3)Obtained filter coefficient is filtered audio noise reduction process, is then sent to the audio after filtered noise reduction process and raises Sound device 1 plays back.
As shown in figure 3, step 3)In the measuring method of filter coefficient include the following steps:
1)Computing module 4 passes through third frequency response curve, third phase curve, the first frequency response curve, first phase curve and first Calculation formula cooperation operation obtains frequency response error curve and phase error curve;
2)Computing module 4 is by second phase curve, the second calculation formula and by step 1)Obtained frequency response error curve and Phase error curve fitting operation obtains the compensated curve of the first frequency response curve and first phase curve;
3)Computing module 4 passes through by the first frequency response curve, first phase curve, third computing module and by step 3)It obtains The cooperation operation of the compensated curve of first frequency response curve and first phase curve obtains filter coefficient.
The above is only better embodiment of the present invention, and every technical solution according to the present invention is to above implementation Any subtle modifications, equivalent variations and modifications that mode is made, belong in the range of technical solution of the present invention.

Claims (10)

1. a kind of adaptive duct active noise reduction earphone, it is characterised in that:Including:
Loud speaker, for playing calibration audio and the audio after noise reduction process;
Audio Input Modules, for calibration audio and audio to be interacted, inputted with Intelligent terminal data;
Microphone is acquired calibration audio and is converted into the first audio signal, peripheral sound is acquired and is converted into Second audio signal, the microphone are positioned over the ante-chamber of loud speaker;
First audio signal is converted into the first parameter by computing module, and the second audio signal is converted into the second parameter, cooperation storage It is stored in its internal third parameter and fixed algorithm operation obtains noise reduction parameters;And
Noise reduction process module carries out noise reduction process according to the noise reduction parameters that computing module is calculated to audio;
The Audio Input Modules, computing module, microphone and loud speaker are connect with noise reduction process module, and the microphone is put It is placed in the ante-chamber of loud speaker.
2. a kind of adaptive duct active noise reduction earphone according to claim 1, it is characterised in that:The noise reduction process mould Block includes wave filter, and the noise reduction parameters are filter coefficient.
3. a kind of adaptive duct active noise reduction earphone according to claim 1, it is characterised in that:First parameter is The first frequency response curve and first phase curve that microphone is acquired calibration audio and obtains.
4. a kind of adaptive duct active noise reduction earphone according to claim 3, it is characterised in that:Second parameter is The second phase curve that microphone is acquired peripheral sound and obtains.
5. a kind of adaptive duct active noise reduction earphone according to claim 4, it is characterised in that:The third parameter is The third frequency response curve and third phase curve that artitificial ear is acquired calibration audio and obtains.
6. a kind of adaptive duct active noise reduction earphone according to claim 5, it is characterised in that:The fixed algorithm packet The first calculation formula, the second calculation formula and third calculation formula are included,
First calculation formula includes frequency response error curve calculation formula and phase error curve calculation formula;
The frequency response error curve calculation formula is:EAn=An-An*, wherein, EAn is frequency response error curve, and An is third frequency response Curve, An* are the first frequency response curve;
The phase error curve calculation formula is:EBn=Bn-Bn*, wherein, EBn is phase error curve, and Bn is third phase Curve, Bn* are first phase curve;
Second calculation formula is:P=EAn * SIN (θ-EBn), wherein, P is the first frequency response curve and first phase curve Compensated curve, θ be second phase curve;
The third calculation formula is:F=-(C+P), wherein, F is filter coefficient, and C is the first frequency response curve and first phase Curve.
7. a kind of adaptive duct active noise reduction earphone according to claim 1, it is characterised in that:The microphone is anti- Feedback formula microphone.
8. a kind of adaptive duct active denoising method, it is characterised in that:Master based on artitificial ear and as described in claim 1-7 Dynamic noise cancelling headphone, the active denoising method include the following steps:
1)Calibration audio is sent to loud speaker and played back by Audio Input Modules, and artitificial ear is acquired calibration audio, obtains It is stored in computing module to third frequency response curve and third phase curve, and by third frequency response curve and third phase curve;
2)Microphone is made to be placed in the cavity that loud speaker ante-chamber and human antrum auris are collectively formed, Audio Input Modules will calibrate audio It is sent to loud speaker to play back, microphone is simultaneously acquired calibration audio and peripheral sound and is converted into the first audio letter Number and the second audio signal, computing module the first audio signal and the second audio signal are converted into the first frequency response curve, first Phase curve and second phase curve;
3)Computing module passes through by step 1)The third frequency response curve and third phase curve that obtain, by step 2)First obtained Frequency response curve, first curve and second phase curve and the fixation algorithm cooperation operation being built in computing module obtain filter Wave device coefficient, and filter coefficient is sent to the wave filter of noise reduction process module;
4)Audio is sent to noise reduction process module by Audio Input Modules, and the wave filter use of noise reduction process module is by step 3) To filter coefficient noise reduction process is filtered to audio, the audio after filtered noise reduction process is then sent to loud speaker It plays back.
9. a kind of adaptive duct active denoising method according to claim 8, it is characterised in that:Step 3)In filtering The measuring method of device coefficient includes the following steps:
1)Computing module passes through third frequency response curve, third phase curve, the first frequency response curve, first phase curve and the first meter It calculates formula cooperation operation and obtains frequency response error curve and phase error curve;
2)Computing module is by second phase curve, the second calculation formula and by step 1)Obtained frequency response error curve and phase Position error curve cooperation operation obtains the compensated curve of the first frequency response curve and first phase curve;
3)Computing module passes through by the first frequency response curve, first phase curve, third computing module and by step 3)It obtains The cooperation operation of the compensated curve of first frequency response curve and first phase curve obtains filter coefficient.
10. a kind of adaptive duct active denoising method according to claim 8, it is characterised in that:The calibration audio Frequency range be:50-500HZ.
CN201810084308.7A 2018-01-29 2018-01-29 A kind of adaptive ear canal active noise reduction earphone and adaptive ear canal active denoising method Active CN108174320B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810084308.7A CN108174320B (en) 2018-01-29 2018-01-29 A kind of adaptive ear canal active noise reduction earphone and adaptive ear canal active denoising method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810084308.7A CN108174320B (en) 2018-01-29 2018-01-29 A kind of adaptive ear canal active noise reduction earphone and adaptive ear canal active denoising method

Publications (2)

Publication Number Publication Date
CN108174320A true CN108174320A (en) 2018-06-15
CN108174320B CN108174320B (en) 2019-11-29

Family

ID=62515846

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810084308.7A Active CN108174320B (en) 2018-01-29 2018-01-29 A kind of adaptive ear canal active noise reduction earphone and adaptive ear canal active denoising method

Country Status (1)

Country Link
CN (1) CN108174320B (en)

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109246517A (en) * 2018-10-12 2019-01-18 歌尔科技有限公司 A kind of noise reduction microphone bearing calibration, wireless headset and the charging box of wireless headset
CN110740413A (en) * 2019-09-12 2020-01-31 广东思派康电子科技有限公司 environmental sound monitoring parameter calibration system and method
CN110809211A (en) * 2020-01-08 2020-02-18 恒玄科技(北京)有限公司 Method for actively reducing noise of earphone, active noise reduction system and earphone
CN110896512A (en) * 2019-12-13 2020-03-20 恒玄科技(上海)股份有限公司 Noise reduction method and system for semi-in-ear earphone and semi-in-ear earphone
CN110996210A (en) * 2019-12-13 2020-04-10 恒玄科技(上海)股份有限公司 Method for sound field equalization and earphone
CN111010657A (en) * 2019-12-19 2020-04-14 深圳市方宁思创科技有限公司 Digital ANC automatic simulation test method
CN111212351A (en) * 2020-02-28 2020-05-29 邝建红 Self-calibration self-adaptive device and system for active noise reduction earphone
CN111491234A (en) * 2020-04-16 2020-08-04 广东思派康电子科技有限公司 Headset noise reduction earphone
US10834494B1 (en) 2019-12-13 2020-11-10 Bestechnic (Shanghai) Co., Ltd. Active noise control headphones
CN112738692A (en) * 2021-02-03 2021-04-30 广州由我科技股份有限公司 Filter design method, device, earphone, electronic equipment and storage medium
WO2023070920A1 (en) * 2021-10-28 2023-05-04 歌尔科技有限公司 Earphone frequency response calibration method and apparatus, and earphone device and storage medium

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101140760A (en) * 2006-09-08 2008-03-12 联想移动通信科技有限公司 Sound signal collecting and processing system and method thereof
CN101257729A (en) * 2007-03-02 2008-09-03 索尼株式会社 Signal processing apparatus and signal processing method
CN101765041A (en) * 2009-06-09 2010-06-30 北京中星微电子有限公司 Audio-frequency playing equipment and method for reducing environmental noises generated during audio-frequency playing
CN106937190A (en) * 2015-12-29 2017-07-07 华为终端(东莞)有限公司 Terminal, noise cancelling headphone and earphone noise-reduction method
CN107547962A (en) * 2016-06-23 2018-01-05 联发科技股份有限公司 Strengthen the method and device of the microphone signal transmitted from the receiver of earphone

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101140760A (en) * 2006-09-08 2008-03-12 联想移动通信科技有限公司 Sound signal collecting and processing system and method thereof
CN101257729A (en) * 2007-03-02 2008-09-03 索尼株式会社 Signal processing apparatus and signal processing method
CN101765041A (en) * 2009-06-09 2010-06-30 北京中星微电子有限公司 Audio-frequency playing equipment and method for reducing environmental noises generated during audio-frequency playing
CN106937190A (en) * 2015-12-29 2017-07-07 华为终端(东莞)有限公司 Terminal, noise cancelling headphone and earphone noise-reduction method
CN107547962A (en) * 2016-06-23 2018-01-05 联发科技股份有限公司 Strengthen the method and device of the microphone signal transmitted from the receiver of earphone

Cited By (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109246517B (en) * 2018-10-12 2021-03-12 歌尔科技有限公司 Noise reduction microphone correction method of wireless earphone, wireless earphone and charging box
CN109246517A (en) * 2018-10-12 2019-01-18 歌尔科技有限公司 A kind of noise reduction microphone bearing calibration, wireless headset and the charging box of wireless headset
CN110740413A (en) * 2019-09-12 2020-01-31 广东思派康电子科技有限公司 environmental sound monitoring parameter calibration system and method
CN110740413B (en) * 2019-09-12 2022-01-28 广东思派康电子科技有限公司 Environmental sound monitoring parameter calibration system and method
US11330359B2 (en) 2019-12-13 2022-05-10 Bestechnic (Shanghai) Co., Ltd. Active noise control headphones
CN110896512A (en) * 2019-12-13 2020-03-20 恒玄科技(上海)股份有限公司 Noise reduction method and system for semi-in-ear earphone and semi-in-ear earphone
US11653141B2 (en) 2019-12-13 2023-05-16 Bestechnic (Shanghai) Co., Ltd. Active noise control headphones
US11595748B2 (en) 2019-12-13 2023-02-28 Bestechnic (Shanghai) Co., Ltd. Active noise control headphones
US10834494B1 (en) 2019-12-13 2020-11-10 Bestechnic (Shanghai) Co., Ltd. Active noise control headphones
CN110996210A (en) * 2019-12-13 2020-04-10 恒玄科技(上海)股份有限公司 Method for sound field equalization and earphone
US11317192B2 (en) 2019-12-13 2022-04-26 Bestechnic (Shanghai) Co., Ltd. Active noise control headphones
CN110996210B (en) * 2019-12-13 2021-11-23 恒玄科技(上海)股份有限公司 Method for sound field equalization and earphone
CN111010657A (en) * 2019-12-19 2020-04-14 深圳市方宁思创科技有限公司 Digital ANC automatic simulation test method
CN111541971A (en) * 2020-01-08 2020-08-14 恒玄科技(北京)有限公司 Method for actively reducing noise of earphone, active noise reduction system and earphone
CN110809211A (en) * 2020-01-08 2020-02-18 恒玄科技(北京)有限公司 Method for actively reducing noise of earphone, active noise reduction system and earphone
CN111212351A (en) * 2020-02-28 2020-05-29 邝建红 Self-calibration self-adaptive device and system for active noise reduction earphone
CN111491234A (en) * 2020-04-16 2020-08-04 广东思派康电子科技有限公司 Headset noise reduction earphone
CN112738692A (en) * 2021-02-03 2021-04-30 广州由我科技股份有限公司 Filter design method, device, earphone, electronic equipment and storage medium
CN112738692B (en) * 2021-02-03 2022-05-24 广州由我科技股份有限公司 Filter design method, device, earphone, electronic equipment and storage medium
WO2023070920A1 (en) * 2021-10-28 2023-05-04 歌尔科技有限公司 Earphone frequency response calibration method and apparatus, and earphone device and storage medium

Also Published As

Publication number Publication date
CN108174320B (en) 2019-11-29

Similar Documents

Publication Publication Date Title
CN108174320A (en) A kind of adaptive duct active noise reduction earphone and adaptive duct active denoising method
CN103460716B (en) For the method and apparatus of Audio Signal Processing
US10104485B2 (en) Headphone response measurement and equalization
CN102881281B (en) Noise cancellation system with lower rate emulation
CN106416290B (en) The system and method for the performance of audio-frequency transducer is improved based on the detection of energy converter state
JP6102179B2 (en) Audio processing apparatus and method, and program
US8611552B1 (en) Direction-aware active noise cancellation system
US7889872B2 (en) Device and method for integrating sound effect processing and active noise control
CN201054780Y (en) Automatic noise reduction earphone
CN108540895A (en) Intelligent equalization device design method and noise cancelling headphone with intelligent equalization device
CN112954530A (en) Earphone noise reduction method, device and system and wireless earphone
CN107889007A (en) Eliminate active denoising method and system of the noise reduction path to broadcasting acoustic impacts
CN103813241B (en) Mobile electronic device and audio playing apparatus thereof
CN110010117A (en) A kind of method and device of voice active noise reduction
CN111491234B (en) Headset noise reduction earphone
KR20140006394A (en) Noise reduction processing device of earphone and headphone.
TWI501657B (en) Electronic audio device
WO2023029144A1 (en) Earphone occlusion effect elimination method, and earphone
CN206181308U (en) Noise reduction device
WO2019119376A1 (en) Earphone and method for uplink cancellation of an earphone
CN114067817A (en) Bass enhancement method, bass enhancement device, electronic equipment and storage medium
CN110896514A (en) Noise reduction earphone
TW202147300A (en) Head-mounted apparatus and stereo effect controlling method thereof
TWI837867B (en) Sound compensation method and head-mounted apparatus
TWI549525B (en) With three-dimensional effect and to enhance the noise reduction of the environment noise loudspeakers active noise reduction headphones

Legal Events

Date Code Title Description
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant