CN110830862A - Self-adaptive noise-reduction earphone - Google Patents

Self-adaptive noise-reduction earphone Download PDF

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Publication number
CN110830862A
CN110830862A CN201910958728.8A CN201910958728A CN110830862A CN 110830862 A CN110830862 A CN 110830862A CN 201910958728 A CN201910958728 A CN 201910958728A CN 110830862 A CN110830862 A CN 110830862A
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axis
human
reverse sound
noise
acceleration component
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CN201910958728.8A
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Chinese (zh)
Inventor
吴长凤
陈洪太
闫荣辉
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GUANGZHOU I-SPK ELECTRONIC TECHNOLOGY Co Ltd
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GUANGZHOU I-SPK ELECTRONIC TECHNOLOGY Co Ltd
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Priority to CN201910958728.8A priority Critical patent/CN110830862A/en
Publication of CN110830862A publication Critical patent/CN110830862A/en
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    • 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • 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
    • 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
    • G10K11/1783Methods 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 handling or detecting of non-standard events or conditions, e.g. changing operating modes under specific operating conditions
    • 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

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Acoustics & Sound (AREA)
  • Multimedia (AREA)
  • General Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Signal Processing (AREA)
  • Human Computer Interaction (AREA)
  • General Physics & Mathematics (AREA)
  • Soundproofing, Sound Blocking, And Sound Damping (AREA)

Abstract

The invention provides a noise reduction earphone with adaptive noise reduction, which comprises a controller, a microphone, a loudspeaker and a triaxial acceleration sensor, wherein the controller comprises a memory and a processor, the memory stores a computer program, and the computer program can realize the following steps when being executed by the processor: collecting environmental noise through a microphone, generating reverse sound waves according to the environmental noise and then outputting the reverse sound waves through a loudspeaker; the method comprises the steps of receiving a triaxial acceleration component signal from a triaxial acceleration sensor, judging a human motion scene according to the triaxial acceleration component signal, changing the amplitude of audio frequencies in different frequency ranges in environmental noise of human ears according to different human motion scenes, and enabling the environmental noise of the human ears to achieve different noise reduction effects after the audio frequencies in the different frequency ranges are changed in amplitude, so that when a user wears a noise reduction earphone to be in different human motion scenes, the noise reduction earphone can automatically achieve different noise reduction effects.

Description

Self-adaptive noise-reduction earphone
Technical Field
The invention relates to the technical field of noise reduction earphones, in particular to a noise reduction earphone capable of adaptively reducing noise.
Background
In recent years, intelligent earphone products have been developed rapidly, and noise reduction earphones in particular have shown a steep trend. At present, most of noise reduction earphones are active noise reduction earphones, reverse sound waves equal to external noise are generated through a noise reduction system, and the external noise is eliminated through the reverse sound waves, so that the noise reduction effect is achieved.
The noise reduction earphones on the market at present all execute the same noise reduction mode under different human motion scenes, namely, the noise reduction earphones can not realize different noise reduction effects under different human motion scenes, but the required noise reduction effects are different under different human motion scenes, such as running, static or riding states, so that the existing noise reduction earphones are difficult to meet the requirements of users.
Disclosure of Invention
The invention aims to solve the technical problem of how to enable a noise reduction earphone to automatically realize different noise reduction effects under different human motion scenes so as to realize self-adaptive noise reduction.
In order to solve the above technical problem, the present invention provides a noise reduction headphone with adaptive noise reduction, including a controller, a microphone and a speaker, where the controller includes a memory and a processor, the memory stores a computer program, and when the computer program is executed by the processor, the computer program can implement the following steps: collecting environmental noise through a microphone, generating reverse sound waves according to the environmental noise and then outputting the reverse sound waves through a loudspeaker;
further comprising a three-axis acceleration sensor, the computer program being further capable of realizing the following steps when executed by a processor: receiving a triaxial acceleration component signal from a triaxial acceleration sensor, judging a human motion scene according to the triaxial acceleration component signal, and changing the amplitude of audio in different frequency ranges in environmental noise at human ears according to different human motion scenes.
Preferably, the audio in the ambient noise includes human voice and other noise.
Preferably, if the motion scene of the human body is judged to be in the motion state according to the three-axis acceleration component signal, the human voice and other noises in the environmental noise are taken as samples to generate reverse sound waves, the waveforms of the reverse sound waves are opposite to those of the samples, the amplitude of the reverse sound waves is reduced, and then the amplitude-reduced reverse sound waves and the environmental noise are superposed to reduce the amplitudes of the human voice and other noises at the position of the human ear.
Preferably, if the acceleration component in the three-axis acceleration component signal on the X axis, the Y axis or the Z axis is greater than a preset value and exhibits a periodic rule, it is determined that the human motion scene is in a motion state.
Preferably, if the human motion scene is judged to be in a static state according to the triaxial acceleration component signal, then a reverse sound wave is generated by taking the human voice in the environmental noise as a sample, the reverse sound wave is opposite to the waveform of the sample, then the amplitude of the reverse sound wave is reduced, then the amplitude-reduced reverse sound wave is superposed with the environmental noise to reduce the amplitude of the human voice at the position of the human ear, and other noises in the environmental noise are taken as the sample to generate a reverse sound wave, the reverse sound wave is opposite to the waveform of the sample, and then the reverse sound wave is superposed with the environmental noise to eliminate other noises at the position of the human ear.
Preferably, if the acceleration components on the X axis, the Y axis and the Z axis in the three-axis acceleration component signal are all smaller than a preset value, it is determined that the human motion scene is in a static state.
Preferably, if the human motion scene is judged to be in the riding state according to the three-axis acceleration component signal, then the human voice and other noises in the environmental noise are taken as samples to generate a reverse sound wave, the waveform of the reverse sound wave is opposite to that of the samples, and then the reverse sound wave and the environmental noise are superposed to eliminate the human voice and other noises at the human ear.
Preferably, if the acceleration component on the X axis, the Y axis or the Z axis in the three-axis acceleration component signal is greater than a preset value and the data on the axis with the largest acceleration component shows an aperiodic rule, it is determined that the human motion scene is in a riding state.
The invention has the following beneficial effects: the controller can judge the human motion scene according to the triaxial acceleration component signal, and change the amplitude of the audio frequency in different frequency ranges in the environmental noise of the human ear according to different human motion scenes, and after the audio frequency in different frequency ranges is changed, the environmental noise of the human ear can achieve different noise reduction effects, so that when a user wears the noise reduction earphone and is in different human motion scenes, the noise reduction earphone can automatically achieve different noise reduction effects.
Drawings
Fig. 1 is a block diagram of a noise reducing headphone for adaptive noise reduction.
Detailed Description
Exemplary embodiments of the present application will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
As shown in fig. 1, a controller 1, a microphone 2, a loudspeaker 3 and a three-axis acceleration sensor 4 are arranged in the noise reduction earphone, the controller 1 collects environmental noise through the microphone 2, generates reverse sound waves according to the environmental noise and then outputs the reverse sound waves through the loudspeaker 3, and the reverse sound waves and the environmental noise are offset with each other, so that the noise reduction function is realized. In this embodiment, the controller 1 is preferably a TM2317 active noise reduction chip. The three-axis acceleration sensor 4 is a sensor capable of measuring three-axis (X-axis, Y-axis, and Z-axis) acceleration components and converting the corresponding three-axis acceleration components into an output signal, and the three-axis acceleration sensor 4 is an existing conventional device, and detailed description of the structure and the working principle thereof is omitted here.
The ambient noise is generally composed of human voice and other noises, wherein the frequency range of the human voice is generally within 85Hz to 1100 Hz. The noise reduction earphone of this embodiment can change the range of people's voice and other noises in the environment noise of people's ear according to the human motion scene of difference to realize different noise reduction effect under different human motion scenes, specifically:
if the user wears the noise reduction earphone to be in a motion state, the acceleration component on an X axis, a Y axis or a Z axis in the three-axis acceleration components measured by the three-axis acceleration sensor 4 is larger than a preset value and shows a periodic rule, the three-axis acceleration sensor 4 outputs a corresponding signal to the controller 1, the controller 1 judges that the motion scene of the human body is in the motion state according to the signal after receiving the signal from the three-axis acceleration sensor 4, the controller 1 generates a reverse sound wave by taking the human voice and other noises in the environmental noise as samples, the reverse sound wave is opposite to the waveform of the samples, the amplitude of the reverse sound wave is reduced, the amplitude-reduced reverse sound wave is superposed with the environmental noise to reduce the amplitude of the human voice and other noises at the ears of the human body, so that the noise reduction earphone only reduces part of the environmental noise, thus, the user can hear part of the environmental noise during movement, and the user can timely react to avoid dangerous conditions when accidents happen;
if the user wears the noise reduction earphone and is in a static state, the acceleration components on an X axis, a Y axis and a Z axis in the three-axis acceleration components measured by the three-axis acceleration sensor 4 are all smaller than a preset value, the three-axis acceleration sensor 4 outputs corresponding signals to the controller 1, the controller 1 judges that a human motion scene is in the static state according to the signals after receiving the signals from the three-axis acceleration sensor 4, the controller 1 generates reverse sound waves by taking human sound in environmental noise as a sample, the reverse sound waves are opposite to the waveform of the sample, the amplitude of the reverse sound waves is reduced, then the amplitude-reduced reverse sound waves are superposed with the environmental noise to reduce the amplitude of the human sound at human ears, so that part of the human sound is subjected to noise reduction, other noises in the environmental noise are taken as the sample to generate reverse sound waves, and the reverse sound waves are opposite to the waveform of the sample, then, the reverse sound wave and the environmental noise are superposed to eliminate other noises at the ears of the user, so that when the user stands still, the noise reduction earphone keeps the voice but eliminates other noises, and the user is prevented from missing important notifications;
if a user wears the noise reduction earphone to be in a riding state, the acceleration component on an X axis, a Y axis or a Z axis in the three-axis acceleration components measured by the three-axis acceleration sensor 4 is larger than a preset value, data on the axis with the largest acceleration component is in a non-periodic rule, the three-axis acceleration sensor 4 outputs a corresponding signal to the controller 1, the controller 1 judges that a human motion scene is in the riding state according to the signal after receiving the signal from the three-axis acceleration sensor 4, the controller 1 generates a reverse sound wave by taking the human voice and other noises in the environmental noise as samples, the reverse sound wave is opposite to the waveform of the samples, and then the reverse sound wave is superposed with the environmental noise to eliminate the human voice and other noises at the human ears, so that the noise reduction earphone basically shields the environmental noise, and the user can not hear the environmental noise when riding, thereby having a very good noise reduction experience.
Because the controller 1 can judge the human motion scene according to the triaxial acceleration component signal, and change the amplitude of the audio frequency in different frequency ranges in the environmental noise of the human ear according to different human motion scenes, and after the audio frequency in different frequency ranges is changed, the environmental noise of the human ear can reach different noise reduction effects, so that when a user wears the noise reduction earphone and is in different human motion scenes, the noise reduction earphone can automatically realize different noise reduction effects.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the protection scope of the present application, and although the present application is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present application without departing from the spirit and scope of the technical solutions of the present application.

Claims (8)

1. An adaptive noise reducing headphone comprising a controller, a microphone and a loudspeaker, the controller comprising a memory and a processor, the memory storing a computer program that when executed by the processor is capable of performing the steps of: collecting environmental noise through a microphone, generating reverse sound waves according to the environmental noise and then outputting the reverse sound waves through a loudspeaker;
the method is characterized by further comprising a three-axis acceleration sensor, and when being executed by the processor, the computer program can also realize the following steps: receiving a triaxial acceleration component signal from a triaxial acceleration sensor, judging a human motion scene according to the triaxial acceleration component signal, and changing the amplitude of audio in different frequency ranges in environmental noise at human ears according to different human motion scenes.
2. The adaptive noise reducing headphone of claim 1, wherein: the audio in the ambient noise includes human voice and other noise.
3. The adaptive noise reducing headphone of claim 2, wherein: if the human motion scene is judged to be in the motion state according to the three-axis acceleration component signal, human voice and other noises in the environmental noise are taken as samples to generate reverse sound waves, the waveforms of the reverse sound waves are opposite to those of the samples, the amplitude of the reverse sound waves is reduced, and then the amplitude-reduced reverse sound waves and the environmental noise are superposed to reduce the amplitudes of the human voice and the other noises at the human ears.
4. An adaptive noise reducing headphone according to claim 3 wherein: and if the acceleration component on the X axis, the Y axis or the Z axis in the three-axis acceleration component signals is greater than a preset value and shows a periodic rule, judging that the human motion scene is in a motion state.
5. The adaptive noise reducing headphone of claim 2, wherein: if the human motion scene is judged to be in a static state according to the triaxial acceleration component signals, human voice in the environmental noise is taken as a sample to generate a reverse sound wave, the reverse sound wave is opposite to the waveform of the sample, the amplitude of the reverse sound wave is reduced, the amplitude-reduced reverse sound wave is superposed with the environmental noise to reduce the amplitude of the human voice at the position of the human ear, other noise in the environmental noise is taken as the sample to generate the reverse sound wave, the waveform of the reverse sound wave is opposite to that of the sample, and then the reverse sound wave is superposed with the environmental noise to eliminate the other noise at the position of the human ear.
6. An adaptive noise reducing headphone according to claim 5 wherein: and if the acceleration components on the X axis, the Y axis and the Z axis in the three-axis acceleration component signals are all smaller than a preset value, judging that the human motion scene is in a static state.
7. The adaptive noise reducing headphone of claim 2, wherein: and if the motion scene of the human body is judged to be in a riding state according to the three-axis acceleration component signal, generating a reverse sound wave by taking the voice and other noises in the environmental noise as samples, wherein the reverse sound wave is opposite to the waveform of the samples, and then overlapping the reverse sound wave and the environmental noise to eliminate the voice and other noises at the ears of the human body.
8. The adaptive noise reducing headphone of claim 7, wherein: and if the acceleration component on the X axis, the Y axis or the Z axis in the three-axis acceleration component signals is greater than a preset value and the data on the axis with the maximum acceleration component is in an aperiodic rule, judging that the human motion scene is in a riding state.
CN201910958728.8A 2019-10-10 2019-10-10 Self-adaptive noise-reduction earphone Pending CN110830862A (en)

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111294691A (en) * 2020-03-31 2020-06-16 歌尔股份有限公司 Earphone, noise reduction method thereof and computer readable storage medium
CN111447523A (en) * 2020-03-31 2020-07-24 歌尔科技有限公司 Earphone, noise reduction method thereof and computer readable storage medium
CN112004174A (en) * 2020-08-27 2020-11-27 努比亚技术有限公司 Noise reduction control method and device and computer readable storage medium
WO2022022585A1 (en) * 2020-07-31 2022-02-03 华为技术有限公司 Electronic device and audio noise reduction method and medium therefor
WO2022168365A1 (en) * 2021-02-05 2022-08-11 パナソニックIpマネジメント株式会社 Acoustic device and acoustic control method

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103845038A (en) * 2012-12-04 2014-06-11 中国移动通信集团公司 Physical sign signal acquiring method and physical sign signal acquiring equipment
CN104081789A (en) * 2011-11-09 2014-10-01 索尼公司 Headphone device, terminal device, information transmission method, program, and headphone system
CN104602163A (en) * 2014-12-31 2015-05-06 歌尔声学股份有限公司 Active noise reduction earphone, and noise reduction control method and system used on active noise reduction earphone
CN105516850A (en) * 2015-12-15 2016-04-20 上海斐讯数据通信技术有限公司 Noise canceling headphone and noise reduction method
CN105611443A (en) * 2015-12-29 2016-05-25 歌尔声学股份有限公司 Control method and system of earphone and earphone
CN106020348A (en) * 2016-05-16 2016-10-12 安徽华米信息科技有限公司 Information display method and device and wearable equipment
US20170004816A1 (en) * 2014-02-21 2017-01-05 Mitsubishi Electric Corporation Acceleration detector and active noise-control device
CN106572411A (en) * 2016-09-29 2017-04-19 乐视控股(北京)有限公司 Noise cancelling control method and relevant device
CN106767889A (en) * 2016-12-05 2017-05-31 广东思派康电子科技有限公司 A kind of step-recording method for being based on three axle G sensor
CN110049403A (en) * 2018-01-17 2019-07-23 北京小鸟听听科技有限公司 A kind of adaptive audio control device and method based on scene Recognition
CN110089129A (en) * 2016-11-03 2019-08-02 伯斯有限公司 On head using the personal voice equipment of earpiece microphone/head detection outside

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104081789A (en) * 2011-11-09 2014-10-01 索尼公司 Headphone device, terminal device, information transmission method, program, and headphone system
CN103845038A (en) * 2012-12-04 2014-06-11 中国移动通信集团公司 Physical sign signal acquiring method and physical sign signal acquiring equipment
US20170004816A1 (en) * 2014-02-21 2017-01-05 Mitsubishi Electric Corporation Acceleration detector and active noise-control device
CN104602163A (en) * 2014-12-31 2015-05-06 歌尔声学股份有限公司 Active noise reduction earphone, and noise reduction control method and system used on active noise reduction earphone
CN105516850A (en) * 2015-12-15 2016-04-20 上海斐讯数据通信技术有限公司 Noise canceling headphone and noise reduction method
CN105611443A (en) * 2015-12-29 2016-05-25 歌尔声学股份有限公司 Control method and system of earphone and earphone
CN106020348A (en) * 2016-05-16 2016-10-12 安徽华米信息科技有限公司 Information display method and device and wearable equipment
CN106572411A (en) * 2016-09-29 2017-04-19 乐视控股(北京)有限公司 Noise cancelling control method and relevant device
CN110089129A (en) * 2016-11-03 2019-08-02 伯斯有限公司 On head using the personal voice equipment of earpiece microphone/head detection outside
CN106767889A (en) * 2016-12-05 2017-05-31 广东思派康电子科技有限公司 A kind of step-recording method for being based on three axle G sensor
CN110049403A (en) * 2018-01-17 2019-07-23 北京小鸟听听科技有限公司 A kind of adaptive audio control device and method based on scene Recognition

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111294691A (en) * 2020-03-31 2020-06-16 歌尔股份有限公司 Earphone, noise reduction method thereof and computer readable storage medium
CN111447523A (en) * 2020-03-31 2020-07-24 歌尔科技有限公司 Earphone, noise reduction method thereof and computer readable storage medium
CN111447523B (en) * 2020-03-31 2022-02-18 歌尔科技有限公司 Earphone, noise reduction method thereof and computer readable storage medium
WO2022022585A1 (en) * 2020-07-31 2022-02-03 华为技术有限公司 Electronic device and audio noise reduction method and medium therefor
CN112004174A (en) * 2020-08-27 2020-11-27 努比亚技术有限公司 Noise reduction control method and device and computer readable storage medium
CN112004174B (en) * 2020-08-27 2023-05-26 深圳市万声文化科技有限公司 Noise reduction control method, device and computer readable storage medium
WO2022168365A1 (en) * 2021-02-05 2022-08-11 パナソニックIpマネジメント株式会社 Acoustic device and acoustic control method

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