CN110277103A - Noise-reduction method and terminal based on speech recognition - Google Patents

Noise-reduction method and terminal based on speech recognition Download PDF

Info

Publication number
CN110277103A
CN110277103A CN201910554831.6A CN201910554831A CN110277103A CN 110277103 A CN110277103 A CN 110277103A CN 201910554831 A CN201910554831 A CN 201910554831A CN 110277103 A CN110277103 A CN 110277103A
Authority
CN
China
Prior art keywords
noise
voice
noise reduction
sound
voice messaging
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
Application number
CN201910554831.6A
Other languages
Chinese (zh)
Inventor
张志立
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.)
Guangdong Yinuo Communication Co Ltd
Original Assignee
Guangdong Yinuo Communication 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 Guangdong Yinuo Communication Co Ltd filed Critical Guangdong Yinuo Communication Co Ltd
Priority to CN201910554831.6A priority Critical patent/CN110277103A/en
Publication of CN110277103A publication Critical patent/CN110277103A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00Speech 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
    • G10L21/02Speech enhancement, e.g. noise reduction or echo cancellation
    • G10L21/0208Noise filtering
    • G10L21/0216Noise filtering characterised by the method used for estimating noise
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M1/00Substation equipment, e.g. for use by subscribers
    • H04M1/02Constructional features of telephone sets
    • H04M1/19Arrangements of transmitters, receivers, or complete sets to prevent eavesdropping, to attenuate local noise or to prevent undesired transmission; Mouthpieces or receivers specially adapted therefor
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10KSOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
    • G10K11/00Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/16Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/175Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
    • G10K11/178Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
    • G10K11/1781Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase characterised by the analysis of input or output signals, e.g. frequency range, modes, transfer functions
    • G10K11/17821Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase characterised by the analysis of input or output signals, e.g. frequency range, modes, transfer functions characterised by the analysis of the input signals only
    • G10K11/17823Reference signals, e.g. ambient acoustic environment
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10KSOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
    • G10K11/00Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/16Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/175Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
    • G10K11/178Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
    • G10K11/1787General system configurations
    • G10K11/17873General system configurations using a reference signal without an error signal, e.g. pure feedforward
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10KSOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
    • G10K2210/00Details of active noise control [ANC] covered by G10K11/178 but not provided for in any of its subgroups
    • G10K2210/10Applications
    • G10K2210/108Communication systems, e.g. where useful sound is kept and noise is cancelled
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00Speech 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
    • G10L21/02Speech enhancement, e.g. noise reduction or echo cancellation
    • G10L21/0208Noise filtering
    • G10L21/0216Noise filtering characterised by the method used for estimating noise
    • G10L2021/02161Number of inputs available containing the signal or the noise to be suppressed
    • G10L2021/02165Two microphones, one receiving mainly the noise signal and the other one mainly the speech signal
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00Speech 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
    • G10L21/02Speech enhancement, e.g. noise reduction or echo cancellation
    • G10L21/0208Noise filtering
    • G10L21/0216Noise filtering characterised by the method used for estimating noise
    • G10L2021/02161Number of inputs available containing the signal or the noise to be suppressed
    • G10L2021/02166Microphone arrays; Beamforming

Landscapes

  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Computational Linguistics (AREA)
  • Quality & Reliability (AREA)
  • Health & Medical Sciences (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • Acoustics & Sound (AREA)
  • Multimedia (AREA)
  • Telephone Function (AREA)

Abstract

A kind of noise-reduction method and terminal based on speech recognition, wherein noise-reduction method includes the feature for the voice messaging A to be retained when identifying voice communication in advance, and stored voice message A, during a voice call, retain voice messaging A, noise reduction process is carried out to other voice messagings;To realize to terminal local terminal noise reduction; improve the speech quality of partner; further; remove other sound around user with effectively disappearing; only retain the single sound needed, avoids ambient sound interference receiver noisy around, ambient sound locating for user can also be heard to avoid receiver; to judge environment locating for user, therefore the function of protection privacy is played to a certain extent;If the terminal of voice communication both sides all employs the present invention program, speech quality has been significantly increased.

Description

Noise-reduction method and terminal based on speech recognition
Technical field
The present invention relates to voice communication message areas, more particularly, to a kind of noise-reduction method based on speech recognition and end End.
Background technique
Voice communication is carried out in noisy environment, the clarity of voice is influenced whether, especially in construction site, market etc. When conversing in the environment of mechanicalness noise or human-made noise, speech quality is seriously affected, at this moment needs loud reply terminal distal end, If in public arenas such as markets, loud reply terminal distal end, it is clear that be inappropriate.
Traditional noise-reduction method has: two built-in microphones in mobile phone, and one keeps clear call, another microphone Noise is physically actively eliminated, by collecting extraneous noise, after being handled with internal algorithm, is issued opposite with noise Sound wave, utilize principle of cancellation eliminate noise;This method can only eliminate faint bottom and make an uproar, the sound bigger for loudness around Sound can not be eliminated.In the sound of speaking of two an equal amount of people of loudness, the sound of a wherein people can not be just eliminated, and only Retain a sound.
In addition, the ambient sound around other side can be heard in current terminal call, to judge ring locating for telephone user Border, the function without secret protection.
Summary of the invention
In order to overcome above-mentioned subproblem, the present invention provides a kind of noise-reduction method and terminal based on speech recognition, solves It is existing in the prior art when user be in noisy environment carry out voice communication when, cannot eliminate or reduce other sound Problem.
To achieve the above object, the technical scheme is that
A kind of noise-reduction method based on speech recognition is provided, including
The voice messaging A to be retained when obtaining voice communication;
Identify the feature of the voice messaging A, and the characteristic model of stored voice message A;
Obtain the voice messaging in terminal acquisition range;
The voice messaging in terminal acquisition range is compared, retains voice messaging A, other voice messagings is carried out at noise reduction Reason.
The present invention also provides a kind of call noise reduction terminal, the call noise reduction terminal includes:
Speech recognition module for obtaining the voice messaging A to be retained, and identifies the feature of voice messaging A;
Memory module, the characteristic model for stored voice message A;
Voice locating module, for obtaining the voice messaging in terminal acquisition range;
Noise reduction process module carries out noise reduction process to other voice messagings for retaining voice messaging A;
Noise reduction threshold values is set, when level of noise is greater than the noise reduction threshold values, starts noise reduction, if level of noise is less than the noise reduction valve Value, then ignore.
Compared to the prior art, the noise-reduction method of the invention based on speech recognition includes, when identifying voice communication in advance The feature for the voice messaging A to be retained, and stored voice message A retain voice messaging A, to other during a voice call Voice messaging carries out noise reduction process;To realize actively to terminal local terminal noise reduction, the speech quality of partner is improved, into one Step ground removes other sound around user, only retains the single sound needed with effectively disappearing, and avoids ambient sound noisy around dry Receiver is disturbed, ambient sound locating for user can also be heard to avoid receiver, thus judge environment locating for user, therefore The function of protection privacy is played to a certain extent;If the terminal of voice communication both sides all employs the present invention program, substantially Improve speech quality to degree.
Detailed description of the invention
Fig. 1 is the flow diagram of the noise-reduction method in the present invention based on speech recognition.
Fig. 2 is the schematic block diagram of call noise reduction terminal in the present invention.
Specific embodiment
To make the purpose of the present invention, technical solution and effect clearer, clear and definite, right as follows in conjunction with drawings and embodiments The present invention is further described.It should be appreciated that described herein, specific examples are only used to explain the present invention, is not used to Limit the present invention.
Referring to Figure 1, it is a kind of noise-reduction method based on speech recognition that Fig. 1 is revealed, comprising:
The voice messaging A to be retained when S10, acquisition voice communication;
The feature of S20, the identification voice messaging A, and the characteristic model of stored voice message A;
Specifically, the characteristic model of the voice messaging A includes loudness, tone and tone color;
Loudness, the size of predominantly subjective perceived sounds determine, amplitude is bigger, then by amplitude and with a distance from sound source Loudness is bigger;Smaller with a distance from sound source, loudness is bigger;
Tone, by frequency (i.e. in predetermined time period, the number of vibration) determine, object vibration it is fast, make a sound Tone it is just high, vibration it is slow, the tone made a sound is with regard to low;
Tone color, waveform determine that the tone color of sound, tone color have different characteristics because of the characteristic of different objects material, sound Color itself is a kind of abstract thing, but waveform is this abstract intuitive performance.It has different timbres, waveform is then different;
S30, acquisition terminal obtain the voice messaging in range;
Specifically, being positioned by Microphone Array Speech, in user speech call, microphone array searches and voice The consistent sound position of information A feature and other positions made a sound, microphone array will be collected special with voice messaging A Consistent sound position and other positions made a sound are levied, noise reduction process module is sent collectively to;
S40, comparison terminal obtain the voice messaging in range, retain voice messaging A, carry out noise reduction to other voice messagings Processing.
Specifically, existing two microphone arrays in terminal, main microphon array is close from the mouth of user, the sound of typing The amplitude of middle voice sound is big, and secondary microphone array is remote from the mouth of user, and the amplitude of voice sound is small in the sound of typing, but two wheats The noise of gram wind array typing is almost big, by comparison can identify which be noise which be voice, noise section It eliminates to realize noise reduction.
After its method for eliminating noise is still handled with internal algorithm, the sound wave opposite with noise is issued, is utilized Principle of cancellation eliminates noise;
To sum up, this programme is that how to distinguish which sound be user's sound to be retained, which sound is noise, in this way, Noise can preferably be eliminated, and retain user's sound to be retained, then by into cross noise reduction process after sound (voice messaging A) it is transferred to distance terminal.
This programme is comparison microphone array, the difference of several microphone array typing sound in array, so that it may position To the position for needing sound.Then it is known which microphone array it is close from sound which far away, equally compare several The amplitude recorded in microphone array judges the sound and noise needed, and noise section is eliminated to realize noise reduction.
The sound position in terminal acquisition range, reservation and the consistent sound position of voice messaging A feature are compared, to other The sound that position issues carries out noise reduction process;Only retain a sound to achieve the purpose that eliminate ambient noise.
It should be noted that the sound of other side is issued by terminal earpiece in voice communication, and terminal local terminal Sound is by microphone array typing, this is two signal lines, and therefore, the sound of other side is will not to be done in voice communication Noise reduction process;If the terminal of other side also uses the technical program in voice communication, in voice communication, both sides can only It hears the sound of other side, and has abandoned noisy noise or other sound, then the speech quality of both sides has been significantly increased.
Preferably, further includes: pre-noise reduction threshold values is arranged in terminal, when determining that level of noise is greater than the pre-noise reduction threshold values, starting Noise reduction is ignored if level of noise is less than the pre-noise reduction threshold values.
Preferably, the voice messaging A includes the sound and other sound set by user of user oneself;That is may be used To be that user can be in advance by the sound of oneself or the sound typing terminal or other sound of user relatives and friends.
Referring to fig. 2, the present invention also provides a kind of call noise reduction terminal, the call noise reduction terminal 100 includes:
Speech recognition module 101 for obtaining the voice messaging A to be retained, and identifies the feature of voice messaging A;
Memory module 102, the characteristic model for stored voice message A;
Voice locating module 103, for obtaining the voice messaging in terminal acquisition range;
It is positioned specifically by Microphone Array Speech, in user speech call, microphone array searches and voice The consistent sound position of information A feature and other positions made a sound, microphone array will be collected special with voice messaging A Consistent sound position and other positions made a sound are levied, noise reduction process module 104 is sent collectively to.
Noise reduction process module 104 retains and voice messaging A feature for comparing the sound position in terminal acquisition range Consistent sound position, to other positions issue sound carry out noise reduction process, then by into cross noise reduction process after sound (language Message ceases A) it is transferred to distance terminal;Only retain a sound to achieve the purpose that eliminate ambient noise.
Further include setting noise reduction threshold values, when level of noise is greater than the noise reduction threshold values, start noise reduction, if level of noise is less than described Noise reduction threshold values, then ignore;That is the operation sound around user does not need noise reduction then when little, certainly, We can be set to active noise reduction and automatic noise reduction, and active noise reduction is, in voice communication, whether system prompt confirms drop It makes an uproar, if user thinks that ambient noise is little, then selects no, such as need noise reduction, then select to confirm;Automatic noise reduction is user's default In voice communication, system automatically turns on decrease of noise functions.
In conclusion the principle of this call noise reduction terminal are as follows:
User first at the terminal typing oneself or other need to retain voice messaging A, specifically can user be switched on When system prompt user typing voice messaging A or other when active typing, the feature of system identification typing voice messaging A is simultaneously Save, in voice communication, voice locating module, obtain terminal obtain range in voice messaging (including voice messaging A and its His sound), the voice messaging that voice locating module obtains is sent to noise reduction process module, noise reduction process module compares out and language The consistent sound position of message breath A feature simultaneously retains, and eliminates the sound that other positions issue;Ambient noise is eliminated only to reach Retain the purpose of a sound.
It should be noted that explaining in detail for the respective embodiments described above, purpose, which is only that, solves the present invention It releases, in order to be able to preferably explain the present invention, still, these descriptions cannot be with any explanation at being to limit of the invention System, in particular, each feature described in various embodiments can also mutual any combination, to form other implementations Mode, in addition to there is clearly opposite description, these features should be understood to can be applied in any one embodiment, and simultaneously It is not only limited to described embodiment.

Claims (4)

1. a kind of noise-reduction method based on speech recognition characterized by comprising
The voice messaging A to be retained when obtaining voice communication;
Identify the feature of the voice messaging A, and the characteristic model of stored voice message A;
Obtain the voice messaging in terminal acquisition range;
The voice messaging in terminal acquisition range is compared, voice messaging A is retained, noise reduction process is carried out to other voice messagings.
2. the noise-reduction method according to claim 1 based on speech recognition, which is characterized in that further include: terminal setting is pre- Noise reduction threshold values when determining that level of noise is greater than the pre-noise reduction threshold values, starts noise reduction, if level of noise is less than the pre-noise reduction threshold values, Then ignore.
3. the noise-reduction method according to claim 1 or 2 based on speech recognition, which is characterized in that the voice messaging A packet Include the sound and the customized sound of user of user oneself.
4. a kind of call noise reduction terminal, which is characterized in that the terminal includes:
Speech recognition module for obtaining the voice messaging A to be retained, and identifies the feature of voice messaging A;
Memory module, the characteristic model for stored voice message A;
Voice locating module, for obtaining the voice messaging in terminal acquisition range;
Noise reduction process module carries out noise reduction process to other voice messagings for retaining voice messaging A;
Noise reduction threshold values is set, when level of noise is greater than the noise reduction threshold values, starts noise reduction, if level of noise is less than the noise reduction threshold values, Then ignore.
CN201910554831.6A 2019-06-25 2019-06-25 Noise-reduction method and terminal based on speech recognition Pending CN110277103A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910554831.6A CN110277103A (en) 2019-06-25 2019-06-25 Noise-reduction method and terminal based on speech recognition

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910554831.6A CN110277103A (en) 2019-06-25 2019-06-25 Noise-reduction method and terminal based on speech recognition

Publications (1)

Publication Number Publication Date
CN110277103A true CN110277103A (en) 2019-09-24

Family

ID=67962376

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910554831.6A Pending CN110277103A (en) 2019-06-25 2019-06-25 Noise-reduction method and terminal based on speech recognition

Country Status (1)

Country Link
CN (1) CN110277103A (en)

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111045639A (en) * 2019-12-11 2020-04-21 深圳追一科技有限公司 Voice input method, device, electronic equipment and storage medium
CN112056763A (en) * 2020-09-08 2020-12-11 深圳创维-Rgb电子有限公司 Intelligent tea table, voice instruction recognition method and storage medium
CN112309360A (en) * 2020-10-27 2021-02-02 深圳市百川安防科技有限公司 Audio noise reduction system, shooting equipment and audio equipment
CN112634916A (en) * 2020-12-21 2021-04-09 久心医疗科技(苏州)有限公司 Automatic voice adjusting method and device for defibrillator
CN112927691A (en) * 2021-02-23 2021-06-08 中国人民解放军陆军装甲兵学院 Voice recognition control device and method
CN113077779A (en) * 2021-03-10 2021-07-06 泰凌微电子(上海)股份有限公司 Noise reduction method and device, electronic equipment and storage medium
CN113808564A (en) * 2020-06-12 2021-12-17 青岛海尔电冰箱有限公司 Kitchen noise reduction method, refrigerator and computer readable storage medium

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103325378A (en) * 2013-07-16 2013-09-25 珠海市魅族科技有限公司 Terminal voice noise reducing method and terminal
CN103716438A (en) * 2012-09-28 2014-04-09 联想移动通信科技有限公司 Noise reduction method, device and mobile terminal
CN104538040A (en) * 2014-11-28 2015-04-22 广东欧珀移动通信有限公司 Method and device for dynamically selecting communication voice signals
CN105049606A (en) * 2015-06-17 2015-11-11 惠州Tcl移动通信有限公司 Mobile terminal microphone switching method and switching system
CN105657150A (en) * 2015-09-29 2016-06-08 宇龙计算机通信科技(深圳)有限公司 Noise elimination method and device and electronic device
CN107979790A (en) * 2017-11-28 2018-05-01 上海与德科技有限公司 One kind call noise-reduction method, device, equipment and medium

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103716438A (en) * 2012-09-28 2014-04-09 联想移动通信科技有限公司 Noise reduction method, device and mobile terminal
CN103325378A (en) * 2013-07-16 2013-09-25 珠海市魅族科技有限公司 Terminal voice noise reducing method and terminal
CN104538040A (en) * 2014-11-28 2015-04-22 广东欧珀移动通信有限公司 Method and device for dynamically selecting communication voice signals
CN105049606A (en) * 2015-06-17 2015-11-11 惠州Tcl移动通信有限公司 Mobile terminal microphone switching method and switching system
CN105657150A (en) * 2015-09-29 2016-06-08 宇龙计算机通信科技(深圳)有限公司 Noise elimination method and device and electronic device
CN107979790A (en) * 2017-11-28 2018-05-01 上海与德科技有限公司 One kind call noise-reduction method, device, equipment and medium

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111045639A (en) * 2019-12-11 2020-04-21 深圳追一科技有限公司 Voice input method, device, electronic equipment and storage medium
CN113808564A (en) * 2020-06-12 2021-12-17 青岛海尔电冰箱有限公司 Kitchen noise reduction method, refrigerator and computer readable storage medium
CN113808564B (en) * 2020-06-12 2024-03-19 青岛海尔电冰箱有限公司 Kitchen noise reduction method, refrigerator and computer readable storage medium
CN112056763A (en) * 2020-09-08 2020-12-11 深圳创维-Rgb电子有限公司 Intelligent tea table, voice instruction recognition method and storage medium
CN112309360A (en) * 2020-10-27 2021-02-02 深圳市百川安防科技有限公司 Audio noise reduction system, shooting equipment and audio equipment
CN112309360B (en) * 2020-10-27 2021-08-10 深圳市睿联技术股份有限公司 Audio noise reduction system, shooting equipment and audio equipment
CN112634916A (en) * 2020-12-21 2021-04-09 久心医疗科技(苏州)有限公司 Automatic voice adjusting method and device for defibrillator
CN112927691A (en) * 2021-02-23 2021-06-08 中国人民解放军陆军装甲兵学院 Voice recognition control device and method
CN113077779A (en) * 2021-03-10 2021-07-06 泰凌微电子(上海)股份有限公司 Noise reduction method and device, electronic equipment and storage medium

Similar Documents

Publication Publication Date Title
CN110277103A (en) Noise-reduction method and terminal based on speech recognition
US10553235B2 (en) Transparent near-end user control over far-end speech enhancement processing
CN111988692B (en) Earphone wearing state detection method and device, earphone and storage medium
CN108551604B (en) Noise reduction method, noise reduction device and noise reduction earphone
CN106231088B (en) Voice call method, device and terminal
CN103259898B (en) The method of Automatic adjusument frequency response and terminal
CN110896509A (en) Earphone wearing state determining method, electronic equipment control method and electronic equipment
CN107396223B (en) Earphone uplink noise-reduction method
CN103325378A (en) Terminal voice noise reducing method and terminal
CN106101350A (en) A kind of mobile terminal and call method thereof
CN112911441A (en) Noise reduction method, apparatus, audio device, and computer-readable storage medium
CN105187602B (en) A kind of adjusting method and device of terminal volume
US20240073577A1 (en) Audio playing method, apparatus and system for in-ear earphone
CN113542960B (en) Audio signal processing method, system, device, electronic equipment and storage medium
CN107978320A (en) One kind call method of adjustment, device, equipment and medium
CN111063363B (en) Voice acquisition method, audio equipment and device with storage function
CN110931007A (en) Voice recognition method and system
CN114640938A (en) Hearing aid function implementation method based on Bluetooth headset chip and Bluetooth headset
CN109218879A (en) Headphone, method and computer-readable medium for headphone
CN103077725B (en) Voice processing method and device
CN111182416B (en) Processing method and device and electronic equipment
CN107370898B (en) Ring tone playing method, terminal and storage medium thereof
CN105025149B (en) Method and device for automatically adjusting call volume
CN115866474A (en) Transparent transmission noise reduction control method and system of wireless earphone and wireless earphone
WO2023087468A1 (en) Method and apparatus for controlling transparency mode of earphones, and earphone device and storage medium

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
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20190924