WO2018233010A1 - 去除噪声的方法和装置 - Google Patents

去除噪声的方法和装置 Download PDF

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Publication number
WO2018233010A1
WO2018233010A1 PCT/CN2017/099323 CN2017099323W WO2018233010A1 WO 2018233010 A1 WO2018233010 A1 WO 2018233010A1 CN 2017099323 W CN2017099323 W CN 2017099323W WO 2018233010 A1 WO2018233010 A1 WO 2018233010A1
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WO
WIPO (PCT)
Prior art keywords
signal
microphone
voice signal
sensor
frequency domain
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Ceased
Application number
PCT/CN2017/099323
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English (en)
French (fr)
Inventor
王德信
徐香菊
端木鲁玉
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Goertek Inc
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Goertek Inc
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Publication date
Application filed by Goertek Inc filed Critical Goertek Inc
Priority to US16/611,170 priority Critical patent/US11328736B2/en
Publication of WO2018233010A1 publication Critical patent/WO2018233010A1/zh
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
    • G10K11/00—Methods 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
    • G10K11/16—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/175—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
    • G10K11/178—Methods 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
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00—Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
    • G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
    • G10L21/0208—Noise filtering
    • G10L21/0216—Noise filtering characterised by the method used for estimating noise
    • G10L21/0232—Processing in the frequency domain
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00—Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
    • G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
    • G10L21/0208—Noise filtering
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/20—Speech recognition techniques specially adapted for robustness in adverse environments, e.g. in noise, of stress induced speech
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
    • G10L25/78—Detection of presence or absence of voice signals
    • G10L25/84—Detection of presence or absence of voice signals for discriminating voice from noise
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; ELECTRIC HEARING AIDS; PUBLIC ADDRESS SYSTEMS
    • H04R3/00—Circuits for transducers
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; ELECTRIC HEARING AIDS; PUBLIC ADDRESS SYSTEMS
    • H04R2410/00—Microphones
    • H04R2410/05—Noise reduction with a separate noise microphone

Definitions

  • the present application relates to the field of medical technology, and in particular, to a method and apparatus for removing noise.
  • a specific implementation method is: integrating the microphone and the sensor in a cavity, and opening a small hole in the cavity, the small hole serving as a sound hole of the microphone, and if the sensor needs to communicate with the outside, the small hole is still As a communication hole between the sensor and the outside world.
  • the microphone since the microphone has high sensitivity, when the sensor and the microphone work simultaneously, the disturbance generated by the sensor collecting data may cause the sensitive film of the microphone to vibrate, thereby generating the voice signal collected by the microphone. Large interference.
  • the above interference problem is solved in the following manner: the microphone is separately disposed in a cavity with a small hole, and the sensor is separately disposed in another cavity, and if the sensor needs to communicate with the outside, the cavity of the sensor Open a through hole.
  • aspects of the present application provide a method and apparatus for removing noise, which are used to ensure that a microphone and a sensor module have a small size while being packaged, and reduce a signal collected by the microphone when the microphone and the sensor in the module work together. Signal interference.
  • an embodiment of the present application provides a method for removing noise, including:
  • the sensor If the first speech signal is detected, the sensor is in an active state, and the interference signal obtained in advance is subtracted from the first speech signal to obtain a first speech signal after the interference is removed, where the interference noise signal is An interference noise signal generated by the sensor when the sensor is operated, the sensor and the microphone are packaged in the same module;
  • an embodiment of the present application provides a device for removing noise, including:
  • a first receiving module configured to receive a first voice signal picked up by a microphone
  • a first processing module configured to subtract the pre-obtained interference noise signal from the first voice signal to obtain the first voice signal after the interference is removed, if the sensor is in an active state,
  • the interference noise signal is an interference noise signal generated by the sensor when the microphone is in operation, and the sensor and the microphone are encapsulated in the same module;
  • an output module configured to output the first voice signal after the interference is removed.
  • the embodiment of the present application further provides a storage medium for storing executable program code, where the executable program code is executed to perform the method for removing noise according to the embodiment of the present application.
  • the embodiment of the present application further provides an application, where the application is used to perform the method for removing noise according to the embodiment of the present application at runtime.
  • an embodiment of the present application further provides an electronic device, including: a housing, a processor, a memory, a circuit board, and a power supply circuit, wherein the circuit board is disposed inside the space enclosed by the housing, the processor and the memory Set on the circuit board; power circuit for powering each circuit or device;
  • the memory is used to store executable program code; the processor executes the method of removing noise as described in the embodiments of the present application by running executable program code stored in the memory.
  • a method and apparatus for removing noise provided by the example of the present application, receiving a first voice signal picked up by a microphone, and if the first voice signal is detected along with the first voice signal, detecting that the sensor encapsulated in the same module as the microphone is in an active state, The pre-obtained interference noise signal is subtracted from the first speech signal, and the first speech signal after the interference removal is obtained and output. Since the interference noise signal is an interference noise signal generated by the sensor when the sensor is working, the interference noise is subtracted from the first voice signal, and the interference generated by the microphone when the sensor is working can be removed, thereby ensuring that the microphone and the sensor module are packaged. The small size of the group reduces the interference in the signal collected by the microphone when the microphone and the sensor work together.
  • FIG. 1 is a flow chart of steps of a method for removing noise according to an embodiment of the present application
  • FIG. 2 is a flow chart of steps of a method for removing noise according to another embodiment of the present application.
  • FIG. 3 is a schematic structural diagram of an apparatus for removing noise according to another embodiment of the present disclosure.
  • FIG. 4 is a schematic structural diagram of an electronic device for removing noise according to another embodiment of the present disclosure.
  • a method for removing noise provided by the implementation of the present application is introduced.
  • the method can be applied to a call device.
  • the call device can be a fixed phone, a smart phone, a fax phone, or the like.
  • the method for removing noise provided by the embodiment of the present application may be applied to a device for removing noise, which may be a denoising software, and may also be a voice processing software or a voice playing software. Feature plugin.
  • a method for removing noise includes the following steps:
  • S101 Receive a first voice signal picked up by a microphone.
  • the microphone picks up the voice signal as the first voice signal.
  • the embodiment of the present application receives the first voice signal picked up by the microphone to process the first voice signal.
  • the microphone that picks up the signal can be a built-in microphone or a peripheral that is communicatively coupled to the executive body.
  • the embodiment of the present application does not limit the connection manner between the peripheral device and the execution body.
  • the voice signal in the embodiment of the present application may be a signal whose frequency is in the range of 20 Hz to 20 kHz, or may be a voice signal whose frequency is in any range within the above range.
  • the sensor that is encapsulated in the same module as the microphone is detected to be in an active state, and the received first voice signal is subtracted from the preset interference noise signal to remove interference.
  • the senor may be an air pressure sensor, a temperature sensor, a humidity sensor, an acceleration sensor, a gyroscope, a gas sensor, or the like.
  • the module may be a cavity with a small hole.
  • the small hole is both a sound hole of the microphone and a communication hole between the air pressure sensor and the outside.
  • the embodiment of the present application can determine whether the sensor is in an active state by detecting an electrical signal input to the sensor. For example, if it is detected that the electrical signal input to the sensor is a high level signal, it is determined that the sensor is in an active state; if it is detected that the electrical signal input to the sensor is a low level signal, it is determined that the sensor is in a non-operating state.
  • the step of detecting the working state of the sensor may further include: detecting whether the signal collected by the sensor is received, and when receiving the signal, determining that the sensor is in an active state.
  • a status indicator is set for the sensor.
  • the status indicator is set to a preset state. Therefore, when the status identifier is a preset status, the status of the sensor is confirmed to be an active status, and the preset status may be, for example, an indication.
  • the light is on.
  • the interference caused by the sensor in the first voice signal is removed.
  • the specific manner may be that the first speech signal is subtracted from the interference noise signal.
  • S103 is performed.
  • the interference noise signal is interference between the sensor and the microphone encapsulated in the same module of the microphone, and therefore, the interference of the sensor on the pickup signal of the microphone may be removed by subtracting the interference noise signal from the first voice signal.
  • the interference noise signal is a known amount.
  • the sensor If the first speech signal is accompanied, the sensor is detected to be in an inoperative state, and the first speech signal is output.
  • the first voice signal in the method for removing noise provided by the embodiment of the present application may be a time domain signal
  • the interference noise signal may be a frequency domain signal
  • the step of removing the interference noise signal may include: performing frequency domain transformation on the first voice signal to obtain the first frequency domain signal; subtracting the interference noise signal from the first frequency domain signal; and removing the interference first frequency
  • the domain signal is inversely transformed in the frequency domain to obtain a first speech signal after the interference is removed.
  • the first speech signal may be subjected to frequency domain transform by using a fast Fourier transform, and the first frequency domain signal after the interference is inversely transformed by frequency domain inverse transform by inverse fast Fourier transform.
  • Subtracting the interference noise signal from the first frequency domain signal specifically includes: subtracting the signal on each frequency in the first frequency domain signal from the signal on the corresponding frequency in the interference noise signal. For example, if the first frequency domain signal is a signal with a frequency of 105 Hz-108 Hz, the signal value at a frequency of 105 Hz in the first frequency domain signal is made. The signal value at the frequency of 105 Hz in the interference noise signal is subtracted, and the signal value at the frequency of 105 Hz in the first frequency domain signal after the interference is removed is obtained; and the signal value at the frequency of 106 Hz in the first frequency domain signal is subtracted from the interference noise signal.
  • the signal value at a frequency of 106 Hz is obtained as a signal value at a frequency of 106 Hz in the first frequency domain signal after the interference is removed;
  • the first frequency domain signal after interference removal is calculated. It should be noted that the above example is only used to describe the manner in which the first frequency domain signal is subtracted from the interference noise signal, and the frequency does not have a defined meaning and an actual meaning.
  • the first speech signal output after the interference noise signal is removed.
  • the method for removing noise is provided by the example of the present application.
  • the first voice signal picked up by the microphone is received. If the first voice signal is detected, and the sensor that is packaged in the same module as the microphone is detected to be in the working state, The first speech signal is subtracted from the previously obtained interference noise signal, and the first speech signal after the interference is removed is obtained and output. Since the interference noise signal is an interference signal generated by the sensor when the sensor is working, the interference signal is subtracted from the first voice signal, so that the interference generated by the microphone when the sensor is working can be removed, and the microphone and the sensor are ensured in the package. When the module size is small, the interference in the signal collected by the microphone when the microphone and the sensor in the module work together is reduced.
  • the method provided by the embodiment of the present application is applied to a smart phone.
  • the built-in microphone of the smart phone picks up the voice signal, and the processor of the smart phone receives the voice signal. If the voice signal is detected, and the sensor of the smart phone and the microphone packaged in the same module is detected to be in the working state, the sensor is subtracted from the voice signal. The interference noise signal is generated, and the speech signal after the interference is removed is obtained and output.
  • the interference noise signal is a crucial parameter in the denoising process, which can be set by the technician according to the characteristics of the microphone and the sensor module; of course, in an alternative embodiment, Calculated by the following steps included in the second embodiment shown in FIG. 2:
  • S201 The second voice signal picked up by the microphone when the receiving sensor and the microphone work together, and the second voice signal is a time domain signal.
  • S202 Perform frequency domain transform on the second voice signal to obtain a second frequency domain signal.
  • S203 The third voice signal picked up by the microphone when the receiving microphone works alone, and the third voice signal is a time domain signal.
  • S204 Perform frequency domain transform on the third voice signal to obtain a third frequency domain signal corresponding to the microphone.
  • S205 Subtract the third frequency domain signal from the second frequency domain signal to obtain an interference noise signal.
  • the second voice signal in the embodiment of the present application is only the voice signal that is picked up by the microphone when the sensor and the microphone in the same module work together, and the embodiment of the present application does not include the voice signal in the second voice signal.
  • the type of signal is limited.
  • the second voice signal may include: a voice signal sent by the user, a noise floor of the microphone, and an interference noise signal generated by the sensor when the sensor operates; for example, the second voice may only include: a noise floor of the microphone, And the interference noise signal generated by the microphone when the sensor is working.
  • the third voice signal in the implementation of the present application may include a voice signal sent by the user and a noise floor of the microphone; and the third voice signal may also include only the noise floor of the microphone. That is, when the second voice signal includes: a voice signal sent by the user, a noise floor of the microphone, and an interference noise signal generated by the microphone when the sensor operates, the third voice signal includes a voice signal sent by the user, The noise floor of the microphone.
  • the type of signal included in the second speech signal is another case
  • the type of signal included in the third speech signal is correspondingly another case.
  • the microphone for picking up the voice signal in the embodiment of the present application may be a microphone for picking up a voice signal in S101, or another microphone having the same characteristics as the microphone for picking up a voice signal in S101.
  • the microphone in this embodiment is a microphone in S101
  • the sensor in this embodiment is a sensor encapsulated in the same module as the microphone in S101; otherwise, the sensor is a microphone having the same characteristics as the microphone in S101. Sensors packaged in the same module.
  • the step of receiving the second voice signal includes: controlling the sensor and the microphone to be turned on; A second voice signal input to the microphone is received.
  • the step of receiving the third voice signal includes: controlling the sensor to be turned off, the microphone being turned on; and receiving the third voice signal input to the microphone.
  • the method of controlling the sensor to be turned off may be: cutting off the power of the sensor; or sending a standby signal to the sensor without cutting off the power of the sensor.
  • the control sensor/microphone can be turned on by turning on the power of the sensor/microphone; or, while turning on the power of the sensor/microphone, adding an excitation signal to the sensor/microphone.
  • the embodiment of the present application further provides an apparatus for removing noise, including: a first receiving module 310, a first processing module 320, and an output module 330.
  • the first receiving module 310 is configured to receive the first voice signal picked up by the microphone.
  • the first processing module 320 is configured to: if the sensor is in an active state when the first voice signal is detected, subtract the pre-obtained interference noise signal from the first voice signal to obtain the first voice signal after the interference is removed.
  • the interference noise signal is an interference noise signal generated by the sensor when the sensor is in operation, and the sensor and the microphone are packaged in the same module.
  • the output module 330 is configured to output the first voice signal after the interference is removed.
  • An apparatus for removing noise receives a first voice signal picked up by a microphone, and if the first voice signal is detected along with the first voice signal, detecting that the sensor encapsulated in the same module as the microphone is in an active state, The first speech signal is subtracted from the previously obtained interference noise signal, and the first speech signal after the interference is removed is obtained and output. Since the interference noise signal is an interference signal generated by the sensor when the sensor is working, the interference signal is subtracted from the first voice signal, so that the interference generated by the microphone when the sensor is working can be removed, and the microphone and the sensor are ensured in the package. When the module size is small, the interference in the signal collected by the microphone when the microphone and the sensor in the module work together is reduced.
  • the interference noise signal is a frequency domain signal
  • the first voice signal is a time domain signal
  • the first processing module 320 includes a transform submodule 321 and a processing submodule 322.
  • the transform sub-module 321 is configured to perform frequency domain transform on the first voice signal to obtain a first frequency domain signal.
  • the processing sub-module 322 is configured to subtract the interference noise signal from the first frequency domain signal.
  • the device further includes: an inverse transform module 340, specifically configured to:
  • the apparatus further includes: a second receiving module 350, a first transforming module 360, a third receiving module 370, a second transforming module 380, and an obtaining module 390.
  • the second receiving module 350 is configured to receive a second voice signal that is picked up by the microphone when the sensor and the microphone work together, and the second voice signal is a time domain signal.
  • the first transform module 360 is configured to perform frequency domain transform on the second voice signal to obtain a second frequency domain signal.
  • the third receiving module 370 is configured to receive a third voice signal that is picked up by the microphone when the microphone is working alone, and the third voice signal is a time domain signal.
  • the second transform module 380 is configured to perform frequency domain transform on the third voice signal to obtain a third frequency domain signal corresponding to the microphone.
  • the obtaining module 390 is configured to subtract the third frequency domain signal from the second frequency domain signal to obtain the interference noise signal.
  • the second receiving module 350 includes: a first control submodule 351 and a first receiving submodule 352.
  • the first control sub-module 351 is configured to control the sensor and the microphone to be turned on.
  • the first receiving submodule 352 is configured to receive the second voice signal input to the microphone.
  • the third receiving module 370 includes: a second control submodule 371 and a second receiving submodule 372.
  • the second control sub-module 371 is configured to control the sensor to be turned off, and the microphone is turned on.
  • the second receiving submodule 372 is configured to receive the third voice signal input to the microphone.
  • the device further includes:
  • the second processing module 320A is configured to output the first voice signal if the sensor is detected to be in an inoperative state along with the first voice signal.
  • the embodiment of the present application further provides a storage medium for storing executable program code, and the executable program code is executed to perform the method for removing noise according to the embodiment of the present application.
  • the embodiment of the present application further provides an application program for performing the method for removing noise according to the embodiment of the present application at runtime.
  • an embodiment of the present application further provides an electronic device, including: a housing 410, a processor 420, a memory 430, a circuit board 440, and a power circuit 450.
  • the circuit board 440 is disposed in the housing 410.
  • the processor 420 and the memory 430 are disposed on the circuit board 440; the power supply circuit 450 is used to supply power to the respective circuits or devices; the memory 430 is used to store executable program code; and the processor 430 is stored in the running memory 430. Executable program code to perform the method of removing noise as described in the embodiments of the present application.
  • embodiments of the present invention can be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or a combination of software and hardware. Moreover, the invention can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) including computer usable program code.
  • computer-usable storage media including but not limited to disk storage, CD-ROM, optical storage, etc.
  • the computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture comprising the instruction device.
  • the apparatus implements the functions specified in one or more blocks of a flow or a flow and/or block diagram of the flowchart.
  • These computer program instructions can also be loaded onto a computer or other programmable data processing device such that a series of operational steps are performed on a computer or other programmable device to produce computer-implemented processing for execution on a computer or other programmable device.
  • the instructions provide steps for implementing the functions specified in one or more of the flow or in a block or blocks of a flow diagram.
  • a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
  • processors CPUs
  • input/output interfaces network interfaces
  • memory volatile and non-volatile memory
  • the memory may include non-persistent memory, random access memory (RAM), and/or non-volatile memory in a computer readable medium, such as read only memory (ROM) or flash memory.
  • RAM random access memory
  • ROM read only memory
  • Memory is an example of a computer readable medium.
  • Computer readable media includes both permanent and non-persistent, removable and non-removable media.
  • Information storage can be implemented by any method or technology.
  • the information can be computer readable instructions, data structures, modules of programs, or other data.
  • Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read only memory. (ROM), electrically erasable programmable read only memory (EEPROM), flash memory or other memory technology, compact disk read only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, Magnetic tape cartridges, magnetic tape storage or other magnetic storage devices or any other non-transportable media can be used to store information that can be accessed by a computing device.
  • computer readable media does not include temporary storage of computer readable media, such as modulated data signals and carrier waves.
  • embodiments of the present application can be provided as a method, system, or computer program product.
  • the present application can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment in combination of software and hardware.
  • the application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) including computer usable program code.

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Abstract

一种去除噪声的方法和装置，方法包括：接收麦克风拾取到的第一语音信号（S101）；若伴随第一语音信号，检测到传感器处于工作状态，则以第一语音信号减去预先获得的干扰噪声信号，获得去除干扰后的第一语音信号（S102），干扰噪声信号是传感器工作时对麦克风产生的干扰噪声信号，传感器和麦克风被封装在同一模组内；输出去除干扰后的第一语音信号（S103）。通过实施本申请提供的方案，可以在保证封装有麦克风和传感器模组具有小尺寸的同时，降低模组内麦克风与传感器共同工作时麦克风所采集信号中的干扰。

Description

去除噪声的方法和装置
交叉引用
本申请引用于2017年6月22日递交的名称为“去除噪声的方法和装置”的第2017104826160号中国专利申请，其通过引用被全部并入本申请。
技术领域
本申请涉及医疗技术领域，尤其涉及一种去除噪声的方法和装置。
背景技术
如今，麦克风和传感器已成为手机等智能硬件的标配。为了缩小智能硬件的尺寸空间，增加硬件的便携度，有必要开发能够同时封装有麦克风和传感器的模组。目前，一种具体的实现方式为：将麦克风和传感器集成在一个腔体内，并将腔体开设一个小孔，上述小孔作为麦克风的声孔，若当传感器需要与外界连通，上述小孔还作为传感器与外界的连通孔。
当将传感器和麦克风封装在同一模组内时，由于麦克风具有高灵敏度，当传感器与麦克风同时工作时，传感器采集数据产生的扰动会引起麦克风的敏感膜震动，从而对麦克风所采集的语音信号产生较大干扰。
现有技术中，通过以下方式解决上述干扰问题：将麦克风单独设置在一个带有小孔的腔体内，将传感器单独设置在另一个腔体内，若传感器需要与外界连通，则为传感器的腔体开设通孔。这虽然可以解决上述问题，但是，腔体数量的增加，导致封装有麦克风和传感器模组的体积大，并难以减小封装尺寸。
发明内容
本申请的多个方面提供一种去除噪声的方法和装置，用以在保证封装有麦克风和传感器模组具有小尺寸的同时，降低上述模组内麦克风与传感器共同工作时麦克风所采集信号中的信号干扰。
第一方面，本申请实施例提供一种去除噪声的方法，包括：
接收麦克风拾取到的第一语音信号；
若伴随所述第一语音信号，检测到传感器处于工作状态，则以所述第一语音信号减去预先获得的干扰噪声信号，获得去除干扰后的第一语音信号，所述干扰噪声信号是所述传感器工作时对所述麦克风产生的干扰噪声信号，所述传感器和所述麦克风被封装在同一模组内；
输出所述去除干扰后的第一语音信号。
第二方面，本申请实施例提供一种去除噪声的装置，包括：
第一接收模块，用于接收麦克风拾取到的第一语音信号；
第一处理模块，用于若伴随所述第一语音信号，检测到传感器处于工作状态，则以所述第一语音信号减去预先获得的干扰噪声信号，获得去除干扰后的第一语音信号，所述干扰噪声信号是所述传感器工作时对所述麦克风产生的干扰噪声信号，所述传感器和所述麦克风被封装在同一模组内；
输出模块，用于输出所述去除干扰后的第一语音信号。
第三方面，本申请实施例还提供了一种存储介质，用于存储可执行程序代码，所述可执行程序代码被运行以执行本申请实施例所述的去除噪声的方法。
第四方面，本申请实施例还提供了一种应用程序，所述应用程序用于在运行时执行本申请实施例所述的去除噪声的方法。
第五方面，本申请实施例还提供了一种电子设备，包括：壳体、处理器、存储器、电路板和电源电路，其中，电路板安置在壳体围成的空间内部，处理器和存储器设置在电路板上；电源电路，用于为各个电路或器件供电；存 储器用于存储可执行程序代码；处理器通过运行存储器中存储的可执行程序代码，以执行本申请实施例所述的去除噪声的方法。
本申请实例提供的一种去除噪声的方法和装置，接收麦克风拾取到的第一语音信号，若伴随上述第一语音信号，检测到与上述麦克风封装于同一模组内的传感器处于工作状态，则以上述第一语音信号减去预先获得的干扰噪声信号，获得去除干扰后的第一语音信号并输出。由于上述干扰噪声信号是传感器工作时对麦克风产生的干扰噪声信号，因此以第一语音信号减去干扰噪声，能够去除传感器工作时对麦克风采集信号产生的干扰，进而在保证封装有麦克风和传感器模组尺寸小的同时，降低了麦克风与传感器共同工作时麦克风所采集信号中的干扰。
附图说明
此处所说明的附图用来提供对本申请的进一步理解，构成本申请的一部分，本申请的示意性实施例及其说明用于解释本申请，并不构成对本申请的不当限定。在附图中：
图1为本申请一实施例提供的去除噪声方法的步骤流程图；
图2为本申请另一实施例提供的去除噪声方法的步骤流程图；
图3为本申请又一实施例提供的去除噪声的装置的结构示意图；
图4为本申请又一实施例提供的去除噪声的电子设备的结构示意图。
具体实施方式
为使本申请的目的、技术方案和优点更加清楚，下面将结合本申请具体实施例及相应的附图对本申请技术方案进行清楚、完整地描述。显然，所描述的实施例仅是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。
首先，介绍本申请实施提供的一种去除噪声的方法，该方法可以应用于通话设备，举例而言，通话设备可以为固定电话、智能手机、传真电话等。进一步的，本申请实施例提供的去除噪声的方法可以应用于运行在通话设备上的一种去除噪声的装置，该装置可以为去噪软件，当然还可以为语音处理类软件、语音播放类软件的功能插件。
如图1所示，本申请实施例所提供的一种去除噪声的方法，包括如下步骤：
S101：接收麦克风拾取到的第一语音信号。
当用户对着麦克风说话，即视为用户发出语音信号，进而麦克风拾取语音信号作为第一语音信号。本申请实施例接收麦克风拾取到的第一语音信号，以对第一语音信号进行处理。
拾取信号的麦克风可以为内置麦克风，还可以是与执行主体通信连接的外设。本申请实施例不限定外设与执行主体的连接方式。
需要说明的是，本申请实施例中的语音信号可以为频率在20Hz-20KHz范围内的信号，或者，还可以为频率在上述范围内任一区间的语音信号。
S102：若伴随第一语音信号，检测到传感器处于工作状态，则以第一语音信号减去预先获得的干扰噪声信号，获得去除干扰后的第一语音信号，干扰噪声信号是传感器工作时对麦克风产生的干扰噪声信号，传感器和麦克风被封装在同一模组内。
若接收第一收语音信号的同时，检测到与麦克风封装在同一模组内的传感器处于工作状态，将所接收到的第一语音信号减去预设的干扰噪声信号，以去除干扰。
可选地，传感器可以为气压传感器、温度传感器、湿度传感器、加速度传感器、陀螺仪、气体传感器等。
可选地，在本申请实施例中，模组具体可以为一个带有小孔的腔体，若传感器为气压传感器，那么小孔既是麦克风的声孔，又是气压传感器与外界的连通孔。
可以理解到的是，本申请实施例可以通过检测输入传感器的电信号，以判定上述传感器是否处于工作状态。例如，若检测到输入至传感器的电信号为高电平信号，则判定传感器处于工作状态；若检测到输入至传感器的电信号为低电平信号，则判定传感器处于非工作状态。
可选地，检测传感器工作状态的步骤，还可以包括：检测是否接收到传感器采集的信号，当接收到上述信号，确定传感器处于工作状态。或者，为传感器设置状态标识，当传感器工作时，该状态标识被置为预设状态，从而，当状态标识为预设状态时，确认传感器的状态为工作状态，该预设状态比如可以是指示灯亮的状态。
若检测到传感器处于工作状态，去除第一语音信号中传感器所带来的干扰。具体方式可以为，使第一语音信号减去干扰噪声信号。去除干扰噪声信号后，执行S103。具体的，干扰噪声信号为与麦克风封装于同一模组内的传感器对麦克风产生的干扰，因此，以第一语音信号减去干扰噪声信号可以去除上述传感器对麦克风采拾取信号的干扰。需要说明的是，在本实施例中，干扰噪声信号为已知量。
若伴随第一语音信号，检测到传感器处于未工作状态，则输出第一语音信号。
在一种具体实施方式中，本申请实施例所提供的一种去除噪声的方法中的第一语音信号可以为时域信号，干扰噪声信号可以为频域信号。进而，去除干扰噪声信号的步骤可以包括：对第一语音信号进行频域变换，以获得第一频域信号；以第一频域信号减去干扰噪声信号；并对去除干扰后的第一频域信号进行频域逆变换，以获得去除干扰后的第一语音信号。
可选的，可以通过快速傅里叶变换对第一语音信号进行频域变换，通过逆快速傅里叶变换对除干扰后的第一频域信号进行频域逆变换。
以第一频域信号减去干扰噪声信号，具体包括：将第一频域信号中每一频率上的信号减去干扰噪声信号中相应频率上的信号。例如，第一频域信号为频率在105Hz-108Hz的信号，则使第一频域信号中频率105Hz上的信号值 减去干扰噪声信号中频率105Hz上的信号值，获得去除干扰后的第一频域信号中频率105Hz上的信号值；使第一频域信号中频率106Hz上的信号值减去干扰噪声信号中频率106Hz上的信号值，获得去除干扰后的第一频域信号中频率106Hz上的信号值；…。以此类推，计算出去除干扰后的第一频域信号。需要说明的是，上述例子只用于说明以第一频域信号减去干扰噪声信号中相减的方式，其中的频率不存在限定意义和实际意义。
S103：输出去除干扰后的第一语音信号。
当将第一语音信号中的干扰噪声信号被去除，将去除干扰噪声信号后的第一语音信号输出。
本申请实例提供的一种去除噪声的方法，接收麦克风拾取到的第一语音信号，若伴随上述第一语音信号，检测到与上述麦克风封装于同一模组内的传感器处于工作状态，则以上述第一语音信号减去预先获得的干扰噪声信号，获得去除干扰后的第一语音信号并输出。由于上述干扰噪声信号是传感器工作时对麦克风产生的干扰信号，因此，以第一语音信号减去干扰噪声信号，能够去除传感器工作时对麦克风采集信号产生的干扰，进而在保证封装有麦克风和传感器模组尺寸小的同时，降低了模组内麦克风与传感器共同工作时麦克风所采集信号中的干扰。
以下列举本申请实施例所提供的一种去除噪声的方法的应用场景，以对本申请实施例做进一步介绍。
假设本申请实施例所提供的方法应用于智能手机。智能手机的内置麦克风拾取语音信号，智能手机的处理器接收上述语音信号，若伴随语音信号，检测到上述智能手机的与麦克风封装在同一模组的传感器处于工作状态，则以语音信号减去传感器所造成的干扰噪声信号，获得去除干扰后的语音信号，并输出。
干扰噪声信号是去噪过程中一个至关重要的参量，可以是技术人员根据麦克风和传感器模组的特性所设定的；当然，在一种可选实施例中，还可以 通过图2所示的实施例二所中包含的以下步骤计算而得：
S201:接收传感器和麦克风共同工作时，麦克风拾取到的第二语音信号，第二语音信号为时域信号。
S202:对第二语音信号进行频域变换，以获得第二频域信号。
S203:接收麦克风单独工作时，麦克风拾取到的第三语音信号，第三语音信号为时域信号。
S204:对第三语音信号进行频域变换，以获得麦克风对应的第三频域信号。
S205:以第二频域信号减去第三频域信号，获得干扰噪声信号。
需要说明的是，本申请实施例中的第二语音信号仅为处于同一模组内的传感器和麦克风共同工作时，麦克风所拾取到的语音信号，本申请实施例不对第二语音信号中所包含的信号种类进行限定。例如，第二语音信号可以包括：用户发出的语音信号、麦克风的本底噪声、以及传感器工作时对麦克风产生的干扰噪声信号；又如，第二语音还可以只包括：麦克风的本底噪声、以及传感器工作时对麦克风产生的干扰噪声信号。
与第二语音信号所包括的信号种类相一致，本申请实施中的第三语音信号可以包括用户发出的语音信号、麦克风的本底噪声；第三语音信号还可以只包括麦克风的本底噪声。也就是说，当第二语音信号包括：用户发出的语音信号、麦克风的本底噪声、以及传感器工作时对麦克风产生的干扰噪声信号时，相应地，第三语音信号包括用户发出的语音信号、麦克风的本底噪声。当第二语音信号所包括信号种类为另一种情况时，第三语音信号所包括的信号类型也相应地为另一种情况。
本申请实施例中拾取语音信号的麦克风，可以为S101中拾取语音信号的麦克风，也可以为与S101中拾取语音信号的麦克风具有相同特性的其他麦克风。当本实施例中的麦克风为S101中的麦克风时，相应地，本实施例中的传感器为与S101中麦克风封装在同一模组中的传感器；否则，传感器为与S101中麦克风具有相同特性的麦克风封装在同一模组内的传感器。
具体的，接收第二语音信号的步骤，包括：控制传感器和麦克风开启； 接收向上述麦克风输入的第二语音信号。
具体的，接收第三语音信号的步骤，包括：控制传感器关闭，麦克风开启；接收向麦克风输入的第三语音信号。
控制传感器关闭的方式可以为：切断传感器的电源；或者不切断传感器的电源，向传感器发送待机信号。
控制传感器/麦克风开启的方式可以为：接通传感器/麦克风的电源；或者，接通传感器/麦克风的电源的同时，向传感器/麦克风添加激励信号。
相应于上述方法实施例，如图3所示，本申请实施例还提供了一种去除噪声的装置，包括：第一接收模块310、第一处理模块320、输出模块330。
第一接收模块310，用于接收麦克风拾取到的第一语音信号。
第一处理模块320，用于若伴随所述第一语音信号，检测到传感器处于工作状态，则以所述第一语音信号减去预先获得的干扰噪声信号，获得去除干扰后的第一语音信号，所述干扰噪声信号是所述传感器工作时对所述麦克风产生的干扰噪声信号，所述传感器和所述麦克风被封装在同一模组内。
输出模块330，用于输出所述去除干扰后的第一语音信号。
本申请实例提供的一种去除噪声的装置，接收麦克风拾取到的第一语音信号，若伴随上述第一语音信号，检测到与上述麦克风封装于同一模组内的传感器处于工作状态，则以上述第一语音信号减去预先获得的干扰噪声信号，获得去除干扰后的第一语音信号并输出。由于上述干扰噪声信号是传感器工作时对麦克风产生的干扰信号，因此，以第一语音信号减去干扰噪声信号，能够去除传感器工作时对麦克风采集信号产生的干扰，进而在保证封装有麦克风和传感器模组尺寸小的同时，降低了模组内麦克风与传感器共同工作时麦克风所采集信号中的干扰。
在一种可选实施方式中，所述干扰噪声信号为频域信号，所述第一语音信号为时域信号；
所述第一处理模块320，包括：变换子模块321、处理子模块322。
变换子模块321，用于对所述第一语音信号进行频域变换，以获得第一频域信号。
处理子模块322，用于以所述第一频域信号减去所述干扰噪声信号。
所述装置还包括：逆变换模块340，具体用于：
在触发所述输出模块330之前，对所述去除干扰后的第一频域信号进行频域逆变换，以获得所述去除干扰后的第一语音信号。
在一种可选实施方式中，所述装置还包括：第二接收模块350、第一变换模块360、第三接收模块370、第二变换模块380、获取模块390。
第二接收模块350，用于接收传感器和麦克风共同工作时，所述麦克风拾取到的第二语音信号，所述第二语音信号为时域信号。
第一变换模块360，用于对所述第二语音信号进行频域变换，以获得第二频域信号。
第三接收模块370，用于接收所述麦克风单独工作时，所述麦克风拾取到的第三语音信号，所述第三语音信号为时域信号。
第二变换模块380，用于对所述第三语音信号进行频域变换，以获得所述麦克风对应的第三频域信号。
获取模块390，用于以所述第二频域信号减去所述第三频域信号，获得所述干扰噪声信号。
在一种可选实施方式中，所述第二接收模块350，包括：第一控制子模块351、第一接收子模块352。
第一控制子模块351，用于控制所述传感器和所述麦克风开启。
第一接收子模块352，用于接收向所述麦克风输入的所述第二语音信号。
所述第三接收模块370，包括：第二控制子模块371、第二接收子模块372。
第二控制子模块371，用于控制所述传感器关闭，所述麦克风开启。
第二接收子模块372，用于接收向所述麦克风输入的所述第三语音信号。
在一种可选实施方式中，所述装置还包括：
第二处理模块320A，用于若伴随所述第一语音信号，检测到所述传感器处于未工作状态，则输出所述第一语音信号。
需要说明的是，对于装置实施例而言，由于其基本相似于方法实施例，所以描述得较为简单，相关之处参见方法实施例的部分说明即可。
本申请实施例还提供了一种存储介质，用于存储可执行程序代码，所述可执行程序代码被运行以执行本申请实施例所述的去除噪声的方法。
本申请实施例还提供了一种应用程序，所述应用程序用于在运行时执行本申请实施例所述的去除噪声的方法。
如图4所示，本申请实施例还提供了一种电子设备，包括：壳体410、处理器420、存储器430、电路板440和电源电路450，其中，电路板440安置在壳体410围成的空间内部，处理器420和存储器430设置在电路板440上；电源电路450，用于为各个电路或器件供电；存储器430用于存储可执行程序代码；处理器430通过运行存储器430中存储的可执行程序代码，以执行本申请实施例所述的去除噪声的方法。
本领域内的技术人员应明白，本发明的实施例可提供为方法、系统、或计算机程序产品。因此，本发明可采用完全硬件实施例、完全软件实施例、或结合软件和硬件方面的实施例的形式。而且，本发明可采用在一个或多个其中包含有计算机可用程序代码的计算机可用存储介质(包括但不限于磁盘存储器、CD-ROM、光学存储器等)上实施的计算机程序产品的形式。
本发明是参照根据本发明实施例的方法、设备(系统)、和计算机程序产品的流程图和/或方框图来描述的。应理解可由计算机程序指令实现流程图和/或方框图中的每一流程和/或方框、以及流程图和/或方框图中的流程和/或方框的结合。可提供这些计算机程序指令到通用计算机、专用计算机、嵌入式处理机或其他可编程数据处理设备的处理器以产生一个机器，使得通过计算机或其他可编程数据处理设备的处理器执行的指令产生用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的装置。
这些计算机程序指令也可存储在能引导计算机或其他可编程数据处理设备以特定方式工作的计算机可读存储器中，使得存储在该计算机可读存储器中的指令产生包括指令装置的制造品，该指令装置实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能。
这些计算机程序指令也可装载到计算机或其他可编程数据处理设备上，使得在计算机或其他可编程设备上执行一系列操作步骤以产生计算机实现的处理，从而在计算机或其他可编程设备上执行的指令提供用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的步骤。
在一个典型的配置中，计算设备包括一个或多个处理器(CPU)、输入/输出接口、网络接口和内存。
内存可能包括计算机可读介质中的非永久性存储器，随机存取存储器(RAM)和/或非易失性内存等形式，如只读存储器(ROM)或闪存(flash RAM)。内存是计算机可读介质的示例。
计算机可读介质包括永久性和非永久性、可移动和非可移动媒体可以由任何方法或技术来实现信息存储。信息可以是计算机可读指令、数据结构、程序的模块或其他数据。计算机的存储介质的例子包括，但不限于相变内存(PRAM)、静态随机存取存储器(SRAM)、动态随机存取存储器(DRAM)、其他类型的随机存取存储器(RAM)、只读存储器(ROM)、电可擦除可编程只读存储器(EEPROM)、快闪记忆体或其他内存技术、只读光盘只读存储器(CD-ROM)、数字多功能光盘(DVD)或其他光学存储、磁盒式磁带，磁带磁磁盘存储或其他磁性存储设备或任何其他非传输介质，可用于存储可以被计算设备访问的信息。按照本文中的界定，计算机可读介质不包括暂存电脑可读媒体(transitory media)，如调制的数据信号和载波。
还需要说明的是，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、商品或者设备不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这 种过程、方法、商品或者设备所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括所述要素的过程、方法、商品或者设备中还存在另外的相同要素。
本领域技术人员应明白，本申请的实施例可提供为方法、系统或计算机程序产品。因此，本申请可采用完全硬件实施例、完全软件实施例或结合软件和硬件方面的实施例的形式。而且，本申请可采用在一个或多个其中包含有计算机可用程序代码的计算机可用存储介质(包括但不限于磁盘存储器、CD-ROM、光学存储器等)上实施的计算机程序产品的形式。
以上所述仅为本申请的实施例而已，并不用于限制本申请。对于本领域技术人员来说，本申请可以有各种更改和变化。凡在本申请的精神和原理之内所作的任何修改、等同替换、改进等，均应包含在本申请的权利要求范围之内。

Claims (13)

  1. 一种去除噪声的方法，其特征在于，包括：
    接收麦克风拾取到的第一语音信号；
    若伴随所述第一语音信号，检测到传感器处于工作状态，则以所述第一语音信号减去预先获得的干扰噪声信号，获得去除干扰后的第一语音信号，所述干扰噪声信号是所述传感器工作时对所述麦克风产生的干扰噪声信号，所述传感器和所述麦克风被封装在同一模组内；
    输出所述去除干扰后的第一语音信号。
  2. 根据权利要求1所述的方法，其特征在于，所述干扰噪声信号为频域信号，所述第一语音信号为时域信号；
    所述以所述第一语音信号减去预先获得的干扰噪声信号，包括：
    对所述第一语音信号进行频域变换，以获得第一频域信号；
    以所述第一频域信号减去所述干扰噪声信号；
    所述输出所述去除干扰后的第一语音信号之前，还包括：
    对所述去除干扰后的第一频域信号进行频域逆变换，以获得所述去除干扰后的第一语音信号。
  3. 根据权利要求1所述的方法，其特征在于，所述方法还包括：
    接收传感器和麦克风共同工作时，所述麦克风拾取到的第二语音信号，所述第二语音信号为时域信号；
    对所述第二语音信号进行频域变换，以获得第二频域信号；
    接收所述麦克风单独工作时，所述麦克风拾取到的第三语音信号，所述第三语音信号为时域信号；
    对所述第三语音信号进行频域变换，以获得所述麦克风对应的第三频域信号；
    以所述第二频域信号减去所述第三频域信号，获得所述干扰噪声信号。
  4. 根据权利要求3所述的方法，其特征在于，所述接收传感器和麦克 风共同工作时，所述麦克风拾取到的第二语音信号，包括：
    控制所述传感器和所述麦克风开启；
    接收向所述麦克风输入的所述第二语音信号；
    所述接收所述麦克风单独工作时，所述麦克风拾取到的第三语音信号，包括：
    控制所述传感器关闭，所述麦克风开启；
    接收向所述麦克风输入的所述第三语音信号。
  5. 根据权利要求1所述的方法，其特征在于，所述方法还包括：
    若伴随所述第一语音信号，检测到所述传感器处于未工作状态，则输出所述第一语音信号。
  6. 一种去除噪声的装置，其特征在于，包括：
    第一接收模块，用于接收麦克风拾取到的第一语音信号；
    第一处理模块，用于若伴随所述第一语音信号，检测到传感器处于工作状态，则以所述第一语音信号减去预先获得的干扰噪声信号，获得去除干扰后的第一语音信号，所述干扰噪声信号是所述传感器工作时对所述麦克风产生的干扰噪声信号，所述传感器和所述麦克风被封装在同一模组内；
    输出模块，用于输出所述去除干扰后的第一语音信号。
  7. 根据权利要求6所述的装置，其特征在于，所述干扰噪声信号为频域信号，所述第一语音信号为时域信号；
    所述第一处理模块，包括：
    变换子模块，用于对所述第一语音信号进行频域变换，以获得第一频域信号；
    处理子模块，用于以所述第一频域信号减去所述干扰噪声信号；
    所述装置还包括：逆变换模块，具体用于：
    在触发所述输出模块之前，对所述去除干扰后的第一频域信号进行频域逆变换，以获得所述去除干扰后的第一语音信号。
  8. 根据权利要求6所述的装置，其特征在于，所述装置还包括：
    第二接收模块，用于接收传感器和麦克风共同工作时，所述麦克风拾取到的第二语音信号，所述第二语音信号为时域信号；
    第一变换模块，用于对所述第二语音信号进行频域变换，以获得第二频域信号；
    第三接收模块，用于接收所述麦克风单独工作时，所述麦克风拾取到的第三语音信号，所述第三语音信号为时域信号；
    第二变换模块，用于对所述第三语音信号进行频域变换，以获得所述麦克风对应的第三频域信号；
    获取模块，用于以所述第二频域信号减去所述第三频域信号，获得所述干扰噪声信号。
  9. 根据权利要求8所述的装置，其特征在于，所述第二接收模块，包括：
    第一控制子模块，用于控制所述传感器和所述麦克风开启；
    第一接收子模块，用于接收向所述麦克风输入的所述第二语音信号；
    所述第三接收模块，包括：
    第二控制子模块，用于控制所述传感器关闭，所述麦克风开启；
    第二接收子模块，用于接收向所述麦克风输入的所述第三语音信号。
  10. 根据权利要求6所述的装置，其特征在于，所述装置还包括：
    第二处理模块，用于若伴随所述第一语音信号，检测到所述传感器处于未工作状态，则输出所述第一语音信号。
  11. 一种存储介质，其特征在于，所述存储介质用于存储可执行程序代码，所述可执行程序代码被运行以执行如权利要求1-5任一项所述的去除噪声的方法。
  12. 一种应用程序，其特征在于，所述应用程序用于在运行时执行如权利要求1-5任一项所述的去除噪声的方法。
  13. 一种电子设备，其特征在于，包括：壳体、处理器、存储器、电路板和电源电路，其中，所述电路板安置在所述壳体围成的空间内部，所述处 理器和所述存储器设置在所述电路板上；所述电源电路，用于为各个电路或器件供电；所述存储器用于存储可执行程序代码；所述处理器通过运行所述存储器中存储的可执行程序代码，以执行如权利要求1-5任一项所述的去除噪声的方法。
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Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113990320A (zh) * 2019-03-11 2022-01-28 阿波罗智联(北京)科技有限公司 语音识别方法、装置、设备和存储介质
CN110288989A (zh) * 2019-06-03 2019-09-27 安徽兴博远实信息科技有限公司 语音交互方法及系统
CN110657884A (zh) * 2019-09-27 2020-01-07 歌尔股份有限公司 一种可穿戴设备及其噪声检测方法和装置

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201639753U (zh) * 2010-01-14 2010-11-17 上海华平信息技术股份有限公司 一种降噪麦克风
CN102314871A (zh) * 2010-07-09 2012-01-11 廖明忠 一种消噪方法和装置
US20150256909A1 (en) * 2013-10-21 2015-09-10 Turtle Beach Corporation Parametric transducer with adaptive carrier amplitude
CN105338455A (zh) * 2014-07-21 2016-02-17 美律电子（惠州）有限公司 具改良式背盖的微机电麦克风封装结构及其制法
CN105764006A (zh) * 2016-03-22 2016-07-13 瑞声声学科技(深圳)有限公司 消噪系统及其消噪方法

Family Cites Families (27)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5267323A (en) * 1989-12-29 1993-11-30 Pioneer Electronic Corporation Voice-operated remote control system
JP2002073072A (ja) * 2000-08-31 2002-03-12 Sony Corp モデル適応装置およびモデル適応方法、記録媒体、並びにパターン認識装置
KR100493172B1 (ko) * 2003-03-06 2005-06-02 삼성전자주식회사 마이크로폰 어레이 구조, 이를 이용한 일정한 지향성을갖는 빔 형성방법 및 장치와 음원방향 추정방법 및 장치
US8170875B2 (en) * 2005-06-15 2012-05-01 Qnx Software Systems Limited Speech end-pointer
US8494193B2 (en) * 2006-03-14 2013-07-23 Starkey Laboratories, Inc. Environment detection and adaptation in hearing assistance devices
US8503686B2 (en) * 2007-05-25 2013-08-06 Aliphcom Vibration sensor and acoustic voice activity detection system (VADS) for use with electronic systems
US8600743B2 (en) * 2010-01-06 2013-12-03 Apple Inc. Noise profile determination for voice-related feature
CN103155032B (zh) * 2010-08-27 2016-10-19 诺基亚技术有限公司 用于去除非所需声音的麦克风装置和方法
US9330675B2 (en) * 2010-11-12 2016-05-03 Broadcom Corporation Method and apparatus for wind noise detection and suppression using multiple microphones
US8983833B2 (en) * 2011-01-24 2015-03-17 Continental Automotive Systems, Inc. Method and apparatus for masking wind noise
US9280982B1 (en) * 2011-03-29 2016-03-08 Google Technology Holdings LLC Nonstationary noise estimator (NNSE)
FR2974655B1 (fr) * 2011-04-26 2013-12-20 Parrot Combine audio micro/casque comprenant des moyens de debruitage d'un signal de parole proche, notamment pour un systeme de telephonie "mains libres".
US8750528B2 (en) * 2011-08-16 2014-06-10 Fortemedia, Inc. Audio apparatus and audio controller thereof
WO2013038440A1 (ja) * 2011-09-13 2013-03-21 三菱電機株式会社 ナビゲーション装置
US9445168B2 (en) * 2012-03-05 2016-09-13 Lenovo (Beijing) Co., Ltd. Electronic device and direction switching method of the electronic device
US9459176B2 (en) * 2012-10-26 2016-10-04 Azima Holdings, Inc. Voice controlled vibration data analyzer systems and methods
JP2014085609A (ja) * 2012-10-26 2014-05-12 Sony Corp 信号処理装置および方法、並びに、プログラム
EP2747081A1 (en) * 2012-12-18 2014-06-25 Oticon A/s An audio processing device comprising artifact reduction
US9443531B2 (en) * 2014-05-04 2016-09-13 Yang Gao Single MIC detection in beamformer and noise canceller for speech enhancement
CN105474306A (zh) * 2014-06-26 2016-04-06 华为技术有限公司 一种降噪方法、装置及移动终端
US10178474B2 (en) * 2015-04-21 2019-01-08 Google Llc Sound signature database for initialization of noise reduction in recordings
DE102016225019B4 (de) * 2015-12-29 2020-12-10 Ford Global Technologies, Llc Verfahren zur Verbesserung von Spracherkennung in einem Fahrzeug
KR20170121545A (ko) * 2016-04-25 2017-11-02 해보라 주식회사 이어셋 및 그 제어 방법
US9881632B1 (en) * 2017-01-04 2018-01-30 2236008 Ontario Inc. System and method for echo suppression for in-car communications
JP6892598B2 (ja) * 2017-06-16 2021-06-23 アイコム株式会社 ノイズ抑圧回路、ノイズ抑圧方法、および、プログラム
US10297245B1 (en) * 2018-03-22 2019-05-21 Cirrus Logic, Inc. Wind noise reduction with beamforming
US11328740B2 (en) * 2019-08-07 2022-05-10 Magic Leap, Inc. Voice onset detection

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201639753U (zh) * 2010-01-14 2010-11-17 上海华平信息技术股份有限公司 一种降噪麦克风
CN102314871A (zh) * 2010-07-09 2012-01-11 廖明忠 一种消噪方法和装置
US20150256909A1 (en) * 2013-10-21 2015-09-10 Turtle Beach Corporation Parametric transducer with adaptive carrier amplitude
CN105338455A (zh) * 2014-07-21 2016-02-17 美律电子（惠州）有限公司 具改良式背盖的微机电麦克风封装结构及其制法
CN105764006A (zh) * 2016-03-22 2016-07-13 瑞声声学科技(深圳)有限公司 消噪系统及其消噪方法

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