CN114095833A - Noise reduction method based on pressure feedback, TWS earphone and storage medium - Google Patents

Noise reduction method based on pressure feedback, TWS earphone and storage medium Download PDF

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CN114095833A
CN114095833A CN202111372868.0A CN202111372868A CN114095833A CN 114095833 A CN114095833 A CN 114095833A CN 202111372868 A CN202111372868 A CN 202111372868A CN 114095833 A CN114095833 A CN 114095833A
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data
pressure
noise reduction
microphone
audio data
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CN114095833B (en
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赵国鑫
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Goertek Techology Co Ltd
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Goertek Techology Co Ltd
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Priority to PCT/CN2021/139056 priority patent/WO2023087469A1/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
    • H04R3/00Circuits for transducers, loudspeakers or microphones
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
    • G10L25/48Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04RLOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R1/00Details of transducers, loudspeakers or microphones
    • H04R1/10Earpieces; Attachments therefor ; Earphones; Monophonic headphones
    • H04R1/1083Reduction of ambient noise
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04RLOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R5/00Stereophonic arrangements
    • H04R5/033Headphones for stereophonic communication
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04RLOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R5/00Stereophonic arrangements
    • H04R5/04Circuit arrangements, e.g. for selective connection of amplifier inputs/outputs to loudspeakers, for loudspeaker detection, or for adaptation of settings to personal preferences or hearing impairments
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Acoustics & Sound (AREA)
  • Signal Processing (AREA)
  • Computational Linguistics (AREA)
  • Health & Medical Sciences (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Human Computer Interaction (AREA)
  • Multimedia (AREA)
  • Soundproofing, Sound Blocking, And Sound Damping (AREA)

Abstract

The invention discloses a noise reduction method based on pressure feedback, a TWS earphone and a computer readable storage medium, wherein carrier equipment applied by the noise reduction method based on the pressure feedback comprises a microphone, a pressure sensor, a PCB and a loudspeaker, wherein a sound guide hole is formed in the PCB, and the microphone and the pressure sensor are arranged on two sides of the sound guide hole in the PCB; the noise reduction method based on the pressure feedback comprises the following steps: receiving original audio data picked up by the microphone; if pressure data which is acquired by the pressure sensor and subjected to preprocessing is received at the same time, the original audio data is used as data to be denoised, and denoising processing is carried out on the data to be denoised by using the pressure data to obtain audio data to be played; and driving a loudspeaker to play the audio data to be played. Therefore, under the condition of not changing the original design of the TWS earphone, the audio noise reduction is carried out more simply and more cost-effectively and spatially.

Description

Noise reduction method based on pressure feedback, TWS earphone and storage medium
Technical Field
The present invention relates to the field of audio, and in particular, to a noise reduction method based on pressure feedback, a TWS headphone, and a computer-readable storage medium.
Background
As Wireless audio transmission technology matures, TWS (True Wireless Stereo) headsets are increasingly entering the consumer electronics market. The TWS headset has a small appearance, and a corresponding internal PCB (printed circuit board) circuit board is designed to be smaller and thinner, and the strength of the PCB board is also reduced.
And in the working process of the earphone, the capacitor on the PCB is continuously charged and discharged. Due to the piezoelectric effect, capacitive vibrations are caused, which undesirable vibrations are transmitted through the PCB to the various parts of the headset forming vibrations. When a shock is transmitted near the MIC (Microphone), the MIC receives noise caused by the shock. However, the Noise of MIC sound reception causes many problems, such as Noise increase in MIC to SKP (Speaker) transparent mode, ANC (Active Noise Control) index degradation, and the like.
The current solution to this problem is: 1, the special capacitor is replaced, but the cost is increased. 2, the PCB board design is thickened, but the volume of the TWS headset becomes large. 3, the PCB board slot buffers the vibration, but the size of the TWS earphone is also enlarged. And 4, the MIC is placed by adopting the rigid-flex board, the structural design is difficult, and the cost is high.
Disclosure of Invention
The invention mainly aims to provide a noise reduction method based on pressure feedback, and aims to solve the technical problem that how to simply and reduce the cost and space of audio noise without changing the original design of a TWS earphone in the prior art.
In order to achieve the above object, the present invention provides a noise reduction method based on pressure-sensitive feedback, wherein carrier equipment applied to the noise reduction method based on pressure-sensitive feedback comprises a microphone, a pressure sensor, a PCB and a speaker, wherein the PCB is provided with a sound guide hole, and the microphone and the pressure sensor are arranged on two sides of the sound guide hole on the PCB; the noise reduction method based on the pressure feedback comprises the following steps:
receiving original audio data picked up by the microphone;
if pressure data which are acquired by the pressure sensor and subjected to preprocessing are received at the same time, the original audio data are used as data to be subjected to noise reduction, and the pressure data are used for carrying out noise reduction on the data to be subjected to noise reduction to obtain audio data to be played;
and driving a loudspeaker to play the audio data to be played.
Optionally, after the step of receiving the raw audio data picked up by the microphone, the method further includes:
and if the pressure data are not received at the same time, not performing noise reduction processing, taking the original audio data as audio data to be played, and executing the step of driving a loudspeaker to play the audio data to be played.
Optionally, after the step of receiving the raw audio data picked up by the microphone, the method further includes:
and judging whether the pressure data collected by the pressure sensor and subjected to preprocessing is received at the same time, wherein the pressure data is the data of the pressure signal processing module subjected to preprocessing on the original pressure data collected by the pressure sensor.
Optionally, the step of performing noise reduction processing on the data to be subjected to noise reduction by using the pressure data includes:
and inquiring a pre-stored mapping relation by using the pressure data to obtain corresponding target calibration data, and compensating the target calibration data for the data to be denoised to obtain the audio data to be played.
Optionally, before the step of receiving the raw audio data picked up by the microphone, the method further includes:
after an on-board noise environment is simulated, test audio data collected by the microphone are received as calibration data, test pressure data collected by the pressure sensor are synchronously received, and association between the calibration data and the test pressure data is established according to a collection time sequence to construct a pre-stored mapping relation.
Optionally, the pre-stored mapping relationship includes a first mapping relationship in an amplitude dimension and a second mapping relationship in a frequency dimension of the calibration data and the test pressure data, and the step of establishing the association between the calibration data and the test pressure data according to the acquisition timing sequence to construct the pre-stored mapping relationship includes:
obtaining a first mapping relationship between the calibration data and the test pressure data in an amplitude dimension by applying different levels of air pressure intensity within a cavity of the microphone;
a second mapping relationship in frequency dimension between the calibration data and the test pressure data is obtained by applying sinusoidal pressure signals of different frequencies within a cavity of the microphone.
Optionally, the step of using the pressure data to query a pre-stored mapping relationship to obtain corresponding target calibration data, and compensating the target calibration data for the data to be denoised to obtain the audio data to be played includes:
inquiring the first mapping relation by using the amplitude of the pressure data to obtain first target calibration data with corresponding amplitude and compensate the amplitude of the data to be denoised;
inquiring the second mapping relation by using the frequency of the pressure data to obtain second target calibration data of corresponding frequency and compensate the frequency of the data to be denoised;
and after compensating the amplitude and the frequency of the data to be denoised, obtaining the audio data to be played.
Optionally, before the step of receiving the raw audio data picked up by the microphone, the method further includes:
and detecting the working states of the carrier equipment circuit and the elements, and if the working states are normal, executing the step of receiving the original audio data picked up by the microphone.
Further, to achieve the above object, the present invention also provides a TWS headset, including: the microphone and the pressure sensor are arranged on two sides of the sound guide hole on the PCB; the computer program, when being executed by the processor, realizes the steps of the pressure feedback based noise reduction method as described above.
Further, to achieve the above object, the present invention also provides a computer readable storage medium having stored thereon a computer program, which when executed by a processor, implements the steps of the noise reduction method based on pressure feedback as described above.
According to the noise reduction method based on pressure feedback, the TWS earphone and the computer readable storage medium provided by the embodiment of the invention, when the ceramic capacitor on the PCB is charged and discharged, vibration caused by piezoelectric effect is transmitted to each part of the earphone through the PCB, noise is generated by board vibration, and acting force causing deformation can be detected by adding the pressure sensors at the feed-forward microphone and the conversation microphone. After a normal condition is simulated in advance by applying different levels of air pressure intensity and sinusoidal pressure signals with different frequencies in a microphone cavity, the corresponding relation between the amplitude and the frequency of audio data picked up by a microphone and pressure data collected by a pressure sensor under the condition of various on-board noises is recorded. When the pressure sensor and the microphone simultaneously acquire and pick up pressure data and audio data, the fact that the board vibration occurs is shown, and the audio data are doped with noise data. At the moment, the corresponding audio data is obtained by inquiring the corresponding relation by utilizing the pressure data and is used as calibration data, and the calibration data is used for compensating the audio data doped with the noise data, so that the noise reduction processing is completed. Therefore, under the condition of not changing the original design of the TWS earphone, the audio noise is reduced more simply, more cost-effectively and more spatially.
Drawings
Fig. 1 is a schematic terminal structure diagram of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart illustrating an embodiment of a noise reduction method based on pressure feedback according to the present invention;
FIG. 3 is a system block diagram of an embodiment of an application carrier of the noise reduction method based on pressure feedback according to the present invention;
fig. 4 is a schematic structural installation diagram of an embodiment of an application carrier of the noise reduction method based on pressure-sensitive feedback according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In order to better understand the technical solution, the technical solution will be described in detail with reference to the drawings and the specific embodiments.
As shown in fig. 1, fig. 1 is a schematic terminal structure diagram of a hardware operating environment according to an embodiment of the present invention.
The terminal device in the embodiment of the present invention may be a terminal device such as a TWS headset that can perform bluetooth connection through the bluetooth communicator 1003. The peripheral equipment in the embodiment of the invention can be a game handle, and also can be equipment which can be in Bluetooth communication connection with terminal equipment, such as a smart phone, a tablet personal computer, a portable computer, a sound box and the like.
As shown in fig. 1, the terminal device may include: a processor 1001, such as a CPU, a communication bus 1002, a bluetooth communicator 1003, and a memory 1004. Wherein a communication bus 1002 is used to enable connective communication between these components. The bluetooth communicator 1003 adopts bluetooth wireless technology standard to perform communication connection with peripheral devices, and can realize short-distance data exchange between the devices. The bluetooth communicator 1003 transmits data in the memory 1004 to a peripheral device establishing a bluetooth connection with the bluetooth communicator 1003 and receives data transmitted from the peripheral device under the control of the processor 1001. The memory 1004 may be a high-speed RAM memory or a non-volatile memory (e.g., a disk memory). The memory 1004 may alternatively be a storage device separate from the processor 1001.
Optionally, the terminal device may further include a camera, a Radio Frequency (RF) circuit, a sensor, an audio circuit, a WiFi module, and the like. Such as light sensors, motion sensors, and other sensors. Specifically, the light sensor may include an ambient light sensor and a proximity sensor, wherein the ambient light sensor may adjust the brightness of the display screen according to the brightness of ambient light. Of course, the terminal may also be configured with other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which are not described herein again.
Those skilled in the art will appreciate that the operational equipment configuration shown in fig. 1 is not meant to be limiting of the operational equipment, and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, the memory 1004, which is a kind of computer storage medium, may include therein an operating system and a pressure-sensitive feedback-based noise reduction program that implements the present invention.
In the terminal shown in fig. 1, the processor 1001 may be configured to call the noise reduction program based on the pressure feedback stored in the memory 1004 and perform the following operations:
receiving original audio data picked up by the microphone;
if pressure data which is acquired by the pressure sensor and subjected to preprocessing is received at the same time, the original audio data is used as data to be denoised, and denoising processing is carried out on the data to be denoised by using the pressure data to obtain audio data to be played;
and driving a loudspeaker to play the audio data to be played.
Further, the processor 1001 may call the noise reduction program based on the pressure feedback stored in the memory 1004, and further perform the following operations:
after the step of receiving the raw audio data picked up by the microphone, the method further comprises:
and if the pressure data are not received at the same time, not performing noise reduction processing, taking the original audio data as audio data to be played, and executing the step of driving a loudspeaker to play the audio data to be played.
Further, the processor 1001 may call the noise reduction program based on the pressure feedback stored in the memory 1004, and further perform the following operations:
after the step of receiving the raw audio data picked up by the microphone, the method further comprises:
and judging whether the pressure data collected by the pressure sensor and subjected to preprocessing is received at the same time, wherein the pressure data is the data of the pressure signal processing module subjected to preprocessing on the original pressure data collected by the pressure sensor.
Further, the processor 1001 may call the noise reduction program based on the pressure feedback stored in the memory 1004, and further perform the following operations:
the step of performing noise reduction processing on the data to be subjected to noise reduction by using the pressure data comprises the following steps:
and inquiring a pre-stored mapping relation by using the pressure data to obtain corresponding target calibration data, and compensating the target calibration data for the data to be denoised to obtain the audio data to be played.
Further, the processor 1001 may call the noise reduction program based on the pressure feedback stored in the memory 1004, and further perform the following operations:
before the step of receiving the raw audio data picked up by the microphone, the method further comprises:
after an on-board noise environment is simulated, test audio data collected by the microphone are received as calibration data, test pressure data collected by the pressure sensor are synchronously received, and association between the calibration data and the test pressure data is established according to a collection time sequence to construct a pre-stored mapping relation.
Further, the processor 1001 may call the noise reduction program based on the pressure feedback stored in the memory 1004, and further perform the following operations:
the pre-stored mapping relationship comprises a first mapping relationship in an amplitude dimension and a second mapping relationship in a frequency dimension of the calibration data and the test pressure data, and the step of establishing the association of the calibration data and the test pressure data according to the acquisition time sequence to construct the pre-stored mapping relationship comprises:
obtaining a first mapping relationship between the calibration data and the test pressure data in an amplitude dimension by applying different levels of air pressure intensity within a cavity of the microphone;
a second mapping relationship in frequency dimension between the calibration data and the test pressure data is obtained by applying sinusoidal pressure signals of different frequencies within a cavity of the microphone.
Further, the processor 1001 may call the noise reduction program based on the pressure feedback stored in the memory 1004, and further perform the following operations:
the step of using the pressure data to inquire a pre-stored mapping relation to obtain corresponding target calibration data, and compensating the target calibration data for the data to be denoised to obtain the audio data to be played comprises the following steps:
inquiring the first mapping relation by using the amplitude of the pressure data to obtain first target calibration data with corresponding amplitude and compensate the amplitude of the data to be denoised;
inquiring the second mapping relation by using the frequency of the pressure data to obtain second target calibration data of corresponding frequency and compensate the frequency of the data to be denoised;
and after compensating the amplitude and the frequency of the data to be denoised, obtaining the audio data to be played.
Further, the processor 1001 may call the noise reduction program based on the pressure feedback stored in the memory 1004, and further perform the following operations:
before the step of receiving the raw audio data picked up by the microphone, the method further comprises:
and detecting the working states of the carrier equipment circuit and the elements, and if the working states are normal, executing the step of receiving the original audio data picked up by the microphone.
Referring to fig. 2, the invention provides a noise reduction method based on pressure-sensitive feedback, and carrier equipment applied to the noise reduction method based on pressure-sensitive feedback comprises a microphone, a pressure sensor, a PCB and a speaker, wherein a sound guide hole is formed in the PCB, and the microphone and the pressure sensor are arranged on two sides of the sound guide hole in the PCB; the noise reduction method based on the pressure feedback comprises the following steps:
step S10, receiving the raw audio data picked up by the microphone.
Referring to fig. 3, in an embodiment of the noise reduction method based on pressure-sensitive feedback of the present invention, the carrier device may be a TWS headset, and a system frame of the TWS headset includes:
the BT SOC (Bluetooth System On Chip), as a core component of the TWS headset circuit, contains a DSP (Digital Signal Processing) module and a Codec (Codec, multimedia Digital Signal Codec) module inside, where the Codec module is mainly responsible for Signal conversion of a DAC (Digital to Analog Converter) and an ADC (Analog to Digital Converter). The main functions of the BT SOC are Bluetooth communication, MIC signal acquisition and SPK sound production driving. And processing pressure data uploaded by the pressure signal processing module, compensating the pressure data on an algorithm, controlling and detecting the states of other external circuit elements, and ensuring that the TWS earphone can work normally.
And the SPK plays the sound under the driving of the BT SOC.
And talking MIC, picking up the voice of the user speaking, and transmitting the signal to the BT SOC.
And feeding forward the MIC, picking up external natural sounds in the algorithm, and transmitting a signal to the BT SOC.
Feeding back MIC, picking up SPK ambient sound near SPK and transmitting signal to BT SOC.
The pressure detection 1, i.e. the pressure sensor 1, detects the substrate vibration of the feedforward MIC and transmits the data to the pressure signal processing module.
The pressure detection 2, i.e., the pressure sensor 2, detects a substrate vibration of the call MIC and transmits data to the pressure signal processing module.
And the pressure signal processing module is used for carrying out preprocessing (such as filtering, amplification and the like) on the pressure detection sensor signal and transmitting the data to the BT SOC.
In one embodiment, audio data picked up by a feed-forward MIC and/or a call MIC as shown in fig. 3, where MIC is the feed-forward MIC and/or the call MIC in fig. 4, and one sound guide hole corresponds to one microphone and one pressure sensor, is received as raw audio data.
And step S20, if pressure data which are acquired by the pressure sensor and subjected to preprocessing are received at the same time, the original audio data are used as data to be subjected to noise reduction, and the pressure data are used for carrying out noise reduction on the data to be subjected to noise reduction to obtain audio data to be played.
Referring to fig. 4, in an embodiment of the hardware structure of the TWS headset, the feedforward MIC and/or the call MIC are/is welded on the PCB, an annular pressure sensor, i.e., a pressure sensor, is installed around a sound guide hole (a dashed line frame portion of the PCB in fig. 4) of the PCB, an elastic sealing ring is installed on the pressure sensor, a waterproof film is installed between the sealing ring and the housing, and a ceramic capacitor is disposed on the PCB. When the ceramic capacitor is charged and discharged continuously, the capacitor vibration can be generated due to the piezoelectric effect, the vibration of the PCB can be caused due to the capacitor vibration, and the volume of the sealing ring can be compressed when the PCB vibrates due to the elasticity of the sealing ring. At the moment, the waterproof membrane is equivalent to a damping, and air pressure can change in a cavity formed in the rubber ring and the sound guide hole. This varying air pressure is picked up by the MIC, creating noise. Therefore, if the BT SOC receives the original audio data picked up by the call microphone and the feedforward microphone at the same time, and the pressure signal processing module performs preprocessing such as filtering and amplifying on the original pressure data monitored by the pressure sensor, it is proved that the picked up original audio data is to-be-denoised data, and denoising processing is performed on the original audio data to obtain the audio data to be played. Moreover, since the MIC and the corresponding pressure sensor almost coincide in structural position and are separated by only one PCB thickness, the audio signal and the pressure signal collected by the two can be ensured to be almost synchronous. In addition, normal external sound can not cause the deformation of the elastic sealing ring, the interaction force between the sealing ring and the PCB can not be changed, and the pressure sensor can not respond to the normal external sound.
And step S30, driving a speaker to play the audio data to be played.
And after the data to be denoised is denoised on the BT SOC to obtain the audio data to be played, driving a loudspeaker to play the audio data to be played after the denoising treatment. At this time, the feedback microphone picks up the sound around the speaker, and verifies whether the audio data of the sound played by the speaker is consistent with the audio data expected to be output, or the audio data of the sound around the speaker picked up by the feedback microphone can be used for further noise reduction processing, so as to achieve a better noise reduction effect. That is to say, in the earphone adopting the ANC active noise reduction function in the prior art, the method of the embodiment of the present invention can be applied without pressure and combined, and the combination of the technologies does not affect the feedback noise reduction function and the capability of the earphone of the original ANC active noise reduction function, nor affect the noise reduction processing on the onboard vibration noise in the embodiment, so that the cost is low, and the application and the popularization of the embodiment of the present invention are easy to expand. In the embodiment of the present invention, the method for performing further noise reduction processing on the original audio data picked up by the feedback microphone is not limited.
In this embodiment, the pressure sensors are added at the feed-forward microphone and the talking microphone to detect the acting force causing the deformation, and when the pressure sensors and the microphone simultaneously collect and pick up pressure data and original audio data, it indicates that the PCB board has undergone board vibration, and the original audio data is doped with noise data. At the moment, the original audio data serving as the data to be denoised is denoised by utilizing the pressure data representing the noise data, so that the audio data to be played is obtained. Therefore, under the condition of not changing the original design of the TWS earphone, the audio noise is reduced more simply, more cost-effectively and more spatially.
Further, in another embodiment of the noise reduction method based on pressure-sensitive feedback of the present invention, after the step of receiving the raw audio data picked up by the microphone, the method further includes:
and if the pressure data is not received at the same time, not performing noise reduction processing, taking the original audio data as audio data to be played, and executing the step of driving a loudspeaker to play the audio data to be played.
The pressure sensors at the feedforward microphone and the conversation microphone collect original pressure data, if pressure data obtained by preprocessing the original pressure data monitored by the pressure sensors by the pressure signal processing module such as filtering and amplification are not received, the PCB is not subjected to board vibration, and the received original audio data picked up by the conversation microphone and the feedforward microphone do not need to be subjected to noise reduction processing, and can be used as audio data to be played to directly drive a loudspeaker to play the audio data or be further processed.
Optionally, after the step of receiving the raw audio data picked up by the microphone, the method further includes:
and judging whether the pressure data collected by the pressure sensor and subjected to preprocessing is received at the same time, wherein the pressure data is the data of the pressure signal processing module subjected to preprocessing on the original pressure data collected by the pressure sensor.
After the BT SOC receives original audio data, whether the pressure data acquired by pressure sensors at the feedforward microphone and the call microphone are received at the same time or not is judged, if the pressure data obtained by performing pre-processing such as filtering and amplification on the original pressure data monitored by the pressure sensors by a pressure signal processing module is received, the board shake is generated, the noise reduction processing needs to be performed on the received original audio data picked up by the call microphone and the feedforward microphone, and after the audio data to be played is obtained, a loudspeaker is driven to play the audio data to be played. Wherein, the time for receiving the pressure data by the BT SOC is in microsecond level, the time for receiving the audio data is in millisecond level, and although a slight time delay exists, the receiving time delay is approximate to synchronization relative to the auditory sense of human ears.
Further, in another embodiment of the noise reduction method based on pressure feedback of the present invention, the step of performing noise reduction processing on the data to be noise reduced by using the pressure data includes:
and inquiring a pre-stored mapping relation by using the pressure data to obtain corresponding target calibration data, and compensating the target calibration data for the data to be denoised to obtain the audio data to be played.
And receiving pressure data obtained by pre-processing the original pressure data monitored by the pressure sensor by the pressure signal processing module, such as filtering, amplification and the like, wherein the pressure data indicates that the PCB vibrates, and the original audio data picked up by the call microphone and the feedforward microphone is data to be denoised and needs to be denoised. The pressure data after pre-processing such as filtering, amplification and the like is used for inquiring the pre-stored mapping relation to obtain corresponding target calibration data, the target calibration data is compensated for the data to be denoised to obtain the audio data to be played, and then the loudspeaker is driven to play the audio data to be played. For example, the pre-stored mapping relationship is a correspondence relationship between pressure data 1 corresponding to audio data 1, pressure data 2 corresponding to audio data 2, and the like.
Optionally, before the step of receiving the raw audio data picked up by the microphone, the method further includes:
after an on-board noise environment is simulated, test audio data collected by the microphone are received as calibration data, test pressure data collected by the pressure sensor are synchronously received, and association between the calibration data and the test pressure data is established according to a collection time sequence to construct a pre-stored mapping relation.
To obtain a pre-stored mapping relation for query during noise reduction, different levels of air pressure intensity or sinusoidal pressure signals with different frequencies are applied to a cavity of a microphone, amplitude and frequency of noise data in an onboard noise environment are simulated, test audio data of a call microphone and a feedforward microphone received in the simulated onboard noise environment are used as calibration data, pressure data obtained by preprocessing original pressure data collected by a pressure sensor at the same time are subjected to function fitting to obtain a functional relation, or the two data are made into a table, a corresponding mapping relation of the two data can be obtained by looking up the table during noise reduction, and the functional relation or the table is used as the pre-stored mapping relation. In the embodiment of the present invention, the method for obtaining the pre-stored mapping relationship between the calibration data and the pressure data is not limited.
Further, in another embodiment of the noise reduction method based on pressure-sensitive feedback, the pre-stored mapping relationships include a first mapping relationship in an amplitude dimension and a second mapping relationship in a frequency dimension of the calibration data and the test pressure data, and the step of establishing the association between the calibration data and the test pressure data according to the acquisition timing sequence to construct the pre-stored mapping relationships includes:
obtaining a first mapping relationship between the calibration data and the test pressure data in an amplitude dimension by applying different levels of air pressure intensity within a cavity of the microphone;
a second mapping relationship in frequency dimension between the calibration data and the test pressure data is obtained by applying sinusoidal pressure signals of different frequencies within a cavity of the microphone.
The received test audio data of the call microphone and the feedforward microphone are taken as calibration data, and the pressure signal processing module carries out preprocessing such as filtering and amplification on the original pressure data monitored by the pressure sensor to obtain pressure data, wherein both the data have amplitude and frequency. Thus, the pre-stored mapping of calibration data and pressure data also includes a pre-stored mapping of amplitude and a pre-stored mapping of frequency, i.e. a first mapping in the amplitude dimension and a second mapping in the frequency dimension. The pre-stored mapping relationship is the corresponding relationship between the processed pressure data and the test audio data picked up by the microphone under the simulated on-board noise environment. In a quiet environment, different levels of air pressure intensity are applied to a microphone receiving cavity, test audio data picked up by a microphone and pressure data obtained after preprocessing of original pressure data of a pressure sensor are respectively read, a corresponding function relation or a corresponding filling table is found, a first mapping relation in an amplitude dimension between the processed pressure data and the test audio data picked up by the microphone can be obtained, and the mapping relation is used as a basis of noise reduction processing. The above is the correspondence when different amplitudes are considered, and the correspondence of different frequencies is the same process. Sinusoidal pressure signals with different frequencies are applied in the microphone cavity, and the processed pressure data and the test audio data picked up by the microphone are in one-to-one correspondence. Therefore, by establishing a pre-stored mapping relation between the pressure data and the test audio data, the pressure data can be used for representing noise data, and when the noise reduction processing is performed, the noise data needing to be eliminated in the audio data to be subjected to noise reduction is obtained by using the pressure data query, so that the noise reduction processing is completed.
Optionally, the step of using the pressure data to query a pre-stored mapping relationship to obtain corresponding target calibration data, and compensating the target calibration data for the data to be denoised to obtain the audio data to be played includes:
inquiring the first mapping relation by using the amplitude of the pressure data to obtain first target calibration data with corresponding amplitude and compensate the amplitude of the data to be denoised;
inquiring the second mapping relation by using the frequency of the pressure data to obtain second target calibration data of corresponding frequency and compensate the frequency of the data to be denoised;
and after compensating the amplitude and the frequency of the data to be denoised, obtaining the audio data to be played.
Therefore, after the first mapping relation and the second mapping relation of the calibration data and the pressure data are obtained after pre-calibration, the first mapping relation is inquired by using the amplitude of the pressure data after pre-calibration during noise reduction processing, calibration data with corresponding amplitude is obtained, and the calibration data with corresponding amplitude is compensated for the amplitude of the data to be noise reduced. And inquiring the second mapping relation by using the frequency of the pressure data after the preprocessing to obtain calibration data of the corresponding frequency, and compensating the frequency of the data to be denoised by the calibration data of the corresponding frequency. Therefore, after the amplitude and the frequency of the data to be denoised are respectively compensated, the audio data to be played is obtained, and thus the denoising processing of the data to be denoised is completed.
Optionally, before the step of receiving the raw audio data picked up by the microphone, the method further includes:
and detecting the working states of the carrier equipment circuit and the elements, and if the working states are normal, executing the step of receiving the original audio data picked up by the microphone.
Referring to fig. 3, before receiving the original audio data picked up by the microphone or during the use process of the TWS headset after being powered on, the working states of various circuits and components are detected, so that the headset can work normally.
In addition, an embodiment of the present invention further provides a TWS headset, including: the microphone and the pressure sensor are arranged on two sides of the sound guide hole on the PCB; the computer program, when being executed by the processor, realizes the steps of the pressure feedback based noise reduction method as described above.
Furthermore, an embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the noise reduction method based on pressure-sensitive feedback are implemented as described above.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention or the portions contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) as described above and includes several instructions for enabling a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (10)

1. A noise reduction method based on pressure-sensitive feedback is characterized in that carrier equipment applied to the noise reduction method based on the pressure-sensitive feedback comprises a microphone, a pressure sensor, a PCB and a loudspeaker, wherein a sound guide hole is formed in the PCB, and the microphone and the pressure sensor are arranged on two sides of the sound guide hole in the PCB; the noise reduction method based on the pressure feedback comprises the following steps:
receiving original audio data picked up by the microphone;
if pressure data which is acquired by the pressure sensor and subjected to preprocessing is received at the same time, the original audio data is used as data to be denoised, and denoising processing is carried out on the data to be denoised by using the pressure data to obtain audio data to be played;
and driving a loudspeaker to play the audio data to be played.
2. The pressure-sensitive feedback-based noise reduction method according to claim 1, wherein the step of receiving the raw audio data picked up by the microphone further comprises:
and if the pressure data is not received at the same time, not performing noise reduction processing, taking the original audio data as audio data to be played, and executing the step of driving a loudspeaker to play the audio data to be played.
3. The pressure-sensitive feedback-based noise reduction method according to claim 1, wherein the step of receiving the raw audio data picked up by the microphone further comprises:
and judging whether the pressure data collected by the pressure sensor and subjected to preprocessing is received at the same time, wherein the pressure data is the data of the pressure signal processing module subjected to preprocessing on the original pressure data collected by the pressure sensor.
4. The pressure-sensitive feedback-based noise reduction method according to any one of claims 1 to 3, wherein the step of performing noise reduction processing on the data to be noise reduced by using the pressure data comprises:
and inquiring a pre-stored mapping relation by using the pressure data to obtain corresponding target calibration data, and compensating the target calibration data for the data to be denoised to obtain the audio data to be played.
5. The pressure-sensitive feedback-based noise reduction method according to claim 4, wherein the step of receiving the raw audio data picked up by the microphone is preceded by:
after an on-board noise environment is simulated, test audio data collected by the microphone are received as calibration data, test pressure data collected by the pressure sensor are synchronously received, and association between the calibration data and the test pressure data is established according to a collection time sequence to construct a pre-stored mapping relation.
6. The pressure feedback based noise reduction method according to claim 5, wherein the pre-stored mapping relationships comprise a first mapping relationship in an amplitude dimension and a second mapping relationship in a frequency dimension of the calibration data and the test pressure data, and the step of correlating the calibration data and the test pressure data according to the acquisition timing to construct the pre-stored mapping relationships comprises:
obtaining a first mapping relationship between the calibration data and the test pressure data in an amplitude dimension by applying different levels of air pressure intensity within a cavity of the microphone;
a second mapping relationship in frequency dimension between the calibration data and the test pressure data is obtained by applying sinusoidal pressure signals of different frequencies within a cavity of the microphone.
7. The method according to claim 6, wherein the step of obtaining the audio data to be played by using the pressure data to query a pre-stored mapping relationship to obtain corresponding target calibration data and compensating the target calibration data for the data to be noise reduced comprises:
inquiring the first mapping relation by using the amplitude of the pressure data to obtain first target calibration data with corresponding amplitude and compensate the amplitude of the data to be denoised;
inquiring the second mapping relation by using the frequency of the pressure data to obtain second target calibration data of corresponding frequency and compensate the frequency of the data to be denoised;
and after compensating the amplitude and the frequency of the data to be denoised, obtaining the audio data to be played.
8. The pressure-sensitive feedback-based noise reduction method according to claim 1, wherein the step of receiving the raw audio data picked up by the microphone is preceded by:
and detecting the working states of the carrier equipment circuit and the element, and if the working states are normal, executing the step of receiving the original audio data picked up by the microphone.
9. A TWS headset, comprising: the microphone and the pressure sensor are arranged on two sides of the sound guide hole on the PCB; the computer program when being executed by the processor realizes the steps of the pressure feedback based noise reduction method according to any one of claims 1 to 8.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps of the pressure-sensitive feedback-based noise reduction method according to any one of claims 1 to 8.
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