CN112637721A - Bluetooth headset conversation noise reduction method and Bluetooth noise reduction headset - Google Patents
Bluetooth headset conversation noise reduction method and Bluetooth noise reduction headset Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 34
- 230000005236 sound signal Effects 0.000 claims abstract description 51
- 238000012545 processing Methods 0.000 claims abstract description 35
- 238000009432 framing Methods 0.000 claims abstract description 28
- 238000012805 post-processing Methods 0.000 claims abstract description 17
- 238000006243 chemical reaction Methods 0.000 claims abstract description 9
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R1/00—Details of transducers, loudspeakers or microphones
- H04R1/10—Earpieces; Attachments therefor ; Earphones; Monophonic headphones
- H04R1/1083—Reduction of ambient noise
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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
- G10K11/1787—General system configurations
- G10K11/17875—General system configurations using an error signal without a reference signal, e.g. pure feedback
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R2499/00—Aspects covered by H04R or H04S not otherwise provided for in their subgroups
- H04R2499/10—General applications
- H04R2499/11—Transducers incorporated or for use in hand-held devices, e.g. mobile phones, PDA's, camera's
Abstract
The invention discloses a method for reducing the noise of a Bluetooth headset during communication and a Bluetooth noise reduction headset, wherein the method comprises the following steps: 1) enabling the earphone to enter a conversation mode; 2) picking up sound by a microphone to obtain an audio signal; 3) converting the audio signal into a digital signal; 4) performing framing processing on the digital signal; 5) recognizing a voice segment and a noise segment; 6) calculating a signal-to-noise ratio; 7) weighting processing; 8) mixing treatment; 9) post-treatment; the earphone comprises two earplugs and a controller, wherein each earplug is provided with a feedforward microphone and a feedback microphone, the feedforward microphone is arranged on the outer side of each earplug, the feedback microphones are arranged in coupling cavities of the earplugs and human ears, the controller is provided with a call microphone, and the controller comprises an analog-to-digital conversion module, a framing processing module, a voice activation detection module, a signal-to-noise ratio operation module, a weight distribution module, a wave mixing module and a post-processing module. The invention has good conversation noise reduction effect and brings good experience for users.
Description
Technical Field
The invention relates to the technical field of noise reduction earphones, in particular to a method for reducing noise of a Bluetooth earphone call and a Bluetooth noise reduction earphone.
Background
With the wide application of portable electronic products such as high-quality smart phones and pads, people have higher and higher requirements on acoustic parameters of earphones which can be used in cooperation with the portable electronic products. With the introduction of type c and Lightning interfaces, the earphone gradually changes to a digital mode, and an earphone with an ANC (Active Noise Control) function is implemented on a digital earphone.
In the current ANC earphone, the noise reduction function mainly has two realization modes, one is to realize the uplink noise reduction function through a call microphone; the other method is to realize uplink noise reduction by multiplexing microphones respectively arranged in the earphones at the left side and the right side. Although the mode of multiplexing the microphones respectively arranged in the left and right earphone earpieces for uplink noise reduction can achieve a good effect of eliminating left and right noise of a user, the microphones arranged in the left and right earphone earpieces can receive relatively stable audio signals, so that the noise at the rear side of the user can not be eliminated basically; however, since the communication microphone is usually disposed on the drive-by-wire box of the earphone, the position of the microphone cannot be effectively fixed, and the uplink noise reduction function of a single microphone is not ideal.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a method for reducing noise in a bluetooth headset call and a bluetooth noise reduction headset, which can achieve a good call noise reduction effect and bring a good experience to a user.
In order to solve the technical problems, the technical scheme of the invention is as follows:
a noise reduction method for a Bluetooth headset call is based on a Bluetooth noise reduction headset, and comprises the following steps:
1) enabling the Bluetooth noise reduction earphone to enter a call mode;
2) a feedforward microphone, a call microphone and a feedback microphone on the Bluetooth noise reduction earphone pick up sound to obtain an audio signal of the feedforward microphone, an audio signal of the call microphone and an audio signal of the feedback microphone;
3) converting the audio signal of the feedforward microphone, the audio signal of the call microphone and the audio signal of the feedback microphone into a digital signal of the feedforward microphone, a digital signal of the call microphone and a digital signal of the feedback microphone;
4) framing the digital signal of the feedforward microphone, the digital signal of the conversation microphone and the digital signal of the feedback microphone;
5) analyzing the digital signals of the feedforward microphone, the conversation microphone and the feedback microphone after framing processing to identify a voice segment and a noise segment;
6) calculating a signal-to-noise ratio according to the recognized voice segment and the recognized noise segment;
7) weighting the digital signals of the feedforward microphone, the conversation microphone and the feedback microphone according to the calculated signal-to-noise ratio;
8) carrying out mixing processing on the weighted digital signal of the feedforward microphone, the digital signal of the conversation microphone and the digital signal of the feedback microphone to obtain a noise reduction digital signal;
9) and carrying out post-processing on the noise reduction digital signal to obtain a noise reduction audio signal.
As a preferable scheme, the key of the framing processing of the digital signals of the feedforward microphone, the conversation microphone and the feedback microphone in step 4) is to frame PCM binary data of each microphone digital signal.
Preferably, the PCM binary data of each microphone digital signal is subjected to framing processing to obtain a short-time stationary audio signal of each frame.
As a preferable scheme, the method for analyzing the digital signal of the feedforward microphone, the digital signal of the talking microphone and the digital signal of the feedback microphone after the framing processing in the step 5) comprises the following steps:
1) carrying out voice activation detection on the short-time stationary audio signals according to frames in sequence, and determining that the frames corresponding to the short-time stationary audio signals are voice frames or non-voice frames;
2) integrating the voice frames to obtain voice segments;
3) and integrating the non-speech frames to obtain noise segments.
As a preferable scheme, the method for calculating the signal-to-noise ratio according to the recognized speech segment and the recognized noise segment in the step 6) comprises the following steps:
1) obtaining the average amplitude of the voice segments to obtain the average amplitude of the voice;
2) obtaining the average amplitude of the noise segment to obtain the average amplitude of the noise;
3) and taking the ratio obtained by dividing the average voice amplitude and the average noise amplitude as a base number, taking e as a logarithm to carry out logarithmic operation, and multiplying the obtained logarithmic operation result by a multiple 20 to obtain the signal-to-noise ratio.
As a preferable scheme, the key of the step 7) of performing weighting processing on the digital signal of the feedforward microphone, the digital signal of the call microphone and the digital signal of the feedback microphone according to the calculated signal-to-noise ratio is to adjust the weight coefficients of the digital signal of the feedforward microphone, the digital signal of the call microphone and the digital signal of the feedback microphone through a weight distribution module in the bluetooth noise reduction earphone.
Preferably, in step 9), after post-processing the noise reduction digital signal, the post-processed noise reduction digital signal is converted into a noise reduction audio signal.
The utility model provides an earphone of making an uproar falls in bluetooth, includes earplug, controller, feedforward microphone, feedback microphone and conversation microphone, the earplug is two, is equipped with a feedforward microphone and a feedback microphone on every earplug, the outside of earplug is located to the feedforward microphone, the coupling intracavity of earplug and people's ear is located to the feedback microphone, be provided with a conversation microphone on the controller, feedforward microphone, feedback microphone and conversation microphone all are connected with the controller, the controller includes that the feedforward microphone, feedback microphone and conversation microphone are connected with the controller, the controller includes
The analog-to-digital conversion module is used for converting the audio signal of the feedforward microphone, the audio signal of the feedback microphone and the audio signal of the call microphone into the digital signal of the feedforward microphone, the digital signal of the call microphone and the digital signal of the feedback microphone;
the framing processing module is used for framing the digital signal of the feedforward microphone, the digital signal of the conversation microphone and the digital signal of the feedback microphone;
the voice activation detection module is used for analyzing the digital signals of the feedforward microphone, the conversation microphone and the feedback microphone after framing processing, and recognizing voice segments and noise segments;
the signal-to-noise ratio operation module is used for calculating the signal-to-noise ratio according to the recognized voice segment and the recognized noise segment;
the weight distribution module is used for adjusting the weight coefficients of the digital signal of the feedforward microphone, the digital signal of the conversation microphone and the digital signal of the feedback microphone according to the calculated signal-to-noise ratio;
the mixing module is used for mixing the weighted digital signals of the feedforward microphone, the conversation microphone and the feedback microphone to obtain noise reduction digital signals;
and the post-processing module is used for performing post-processing on the noise-reduction digital signal.
As a preferable scheme, the controller further includes a digital-to-analog conversion module, configured to convert the post-processed noise reduction digital signal into a noise reduction audio signal.
The invention has the beneficial effects that: when in call, a call microphone, a feedforward microphone and a feedback microphone of the earphone collect audio signals, the signal-to-noise ratio is calculated, weighting processing is correspondingly carried out on each microphone according to the signal-to-noise ratio, mixing processing is carried out after weighting processing, post processing is carried out on the signals after mixing processing, noise reduction audio signals are generated and output, and therefore the call noise reduction effect is good, and good experience is brought to a user; in addition, because the communication microphone, the feedforward microphone and the feedback microphone which are arranged on the Bluetooth noise reduction earphone are used in the communication noise reduction method, the communication noise reduction performance can be improved under the condition of not increasing the hardware cost.
Drawings
FIG. 1 is a flow chart of a method for reducing noise in a Bluetooth headset call according to the present invention;
FIG. 2 is a block flow diagram of a method of analyzing the framed digital signals of the feedforward microphone, the conversation microphone, and the feedback microphone according to the present invention;
FIG. 3 is a block diagram of a flow diagram of a method of calculating a signal-to-noise ratio based on identified speech segments and noise segments in accordance with the present invention;
FIG. 4 is a structural diagram of the Bluetooth noise reduction earphone of the present invention
Fig. 5 is a schematic diagram of an internal structure of the bluetooth noise reduction earphone according to the present invention.
In the figure: the microphone comprises a feed-forward microphone 1, a call microphone 2, a feed-back microphone 3, a controller 4, an analog-to-digital conversion module 41, a framing processing module 42, a voice activation detection module 43, a signal-to-noise ratio operation module 44, a weight distribution module 45, a mixing module 46, a post-processing module 47, a digital-to-analog conversion module 48 and an earplug 5.
Detailed Description
The structural and operational principles of the present invention are explained in further detail below with reference to the accompanying drawings.
As shown in fig. 1, a method for reducing noise in a bluetooth headset call is based on a bluetooth noise reduction headset, and the method for reducing noise includes the following steps:
1) enabling the Bluetooth noise reduction earphone to enter a call mode;
2) a feedforward microphone 1, a call microphone 2 and a feedback microphone 3 on the Bluetooth noise reduction earphone pick up sound to obtain an audio signal of the feedforward microphone 1, an audio signal of the call microphone 2 and an audio signal of the feedback microphone 3;
3) converting the audio signal of the feedforward microphone 1, the audio signal of the call microphone 2 and the audio signal of the feedback microphone 3 into the digital signal of the feedforward microphone 1, the digital signal of the call microphone 2 and the digital signal of the feedback microphone 3;
4) framing the digital signal of the feedforward microphone 1, the digital signal of the conversation microphone 2 and the digital signal of the feedback microphone 3;
5) analyzing the digital signals of the feedforward microphone 1, the conversation microphone 2 and the feedback microphone 3 after framing processing to identify voice segments and noise segments;
6) calculating a signal-to-noise ratio according to the recognized voice segment and the recognized noise segment;
7) weighting the digital signal of the feedforward microphone 1, the digital signal of the call microphone 2 and the digital signal of the feedback microphone 3 correspondingly according to the calculated signal-to-noise ratio;
8) carrying out mixing processing on the weighted digital signal of the feedforward microphone 1, the digital signal of the conversation microphone 2 and the digital signal of the feedback microphone 3 to obtain a noise reduction digital signal;
9) and post-processing the noise reduction digital signal, and converting the post-processed noise reduction digital signal into a noise reduction audio signal.
The user can perform post-processing on the noise reduction digital signal according to the requirement, wherein the post-processing can be one or more of echo suppression, noise reduction, definition control, automatic gain control, frequency response adjustment and amplitude adjustment.
As a preferable scheme, the key of framing the digital signals of the microphones in step 4) is framing the PCM binary data of the digital signals of each microphone.
Preferably, the PCM binary data of each microphone digital signal is subjected to framing processing to obtain a short-time stationary audio signal of each frame.
As shown in fig. 2, the method for analyzing the digital signal of the feedforward microphone 1, the digital signal of the conversation microphone 2 and the digital signal of the feedback microphone 3 after framing in step 5) includes the following steps:
1) carrying out voice activation detection on the short-time stationary audio signals according to frames in sequence, and determining that the frames corresponding to the short-time stationary audio signals are voice frames or non-voice frames;
2) integrating the voice frames to obtain voice segments;
3) and integrating the non-speech frames to obtain noise segments.
As shown in fig. 3, the method for calculating the signal-to-noise ratio according to the recognized speech segment and the recognized noise segment in step 6) includes the following steps:
1) obtaining the average amplitude of the voice segments to obtain the average amplitude of the voice;
2) obtaining the average amplitude of the noise segment to obtain the average amplitude of the noise;
3) and taking the ratio obtained by dividing the average voice amplitude and the average noise amplitude as a base number, taking e as a logarithm to carry out logarithmic operation, and multiplying the obtained logarithmic operation result by a multiple 20 to obtain the signal-to-noise ratio.
As a preferable scheme, the key of the step 7) to perform weighting processing on the digital signal of the feedforward microphone 1, the digital signal of the call microphone 2 and the digital signal of the feedback microphone 3 according to the calculated signal-to-noise ratio is to adjust the weight coefficients of the digital signal of the feedforward microphone 1, the digital signal of the call microphone 2 and the digital signal of the feedback microphone 3 by the weight distribution module 45 in the bluetooth noise reduction earphone.
When the signal-to-noise ratio is greater than the first signal-to-noise ratio threshold, the weight distribution module 45 reduces the weight coefficient of the digital signal of the feedback microphone 3, and the weight distribution module 45 promotes the weight coefficient of the digital signal of the feedforward microphone 1 and/or the weight coefficient of the digital signal of the conversation microphone 2 according to the actual situation;
when the signal-to-noise ratio is smaller than the second signal-to-noise ratio threshold, the weight distribution module 45 reduces the weight coefficient of the digital signal of the feedforward microphone 1 and/or the weight coefficient of the digital signal of the call microphone 2, and the weight distribution module 45 increases the weight coefficient of the digital signal of the feedback microphone 3;
the first signal-to-noise ratio threshold may be greater than the second signal-to-noise ratio threshold, or may be equal to the second signal-to-noise ratio threshold.
It should be noted that when the first signal-to-noise ratio threshold is greater than the second signal-to-noise ratio threshold and the signal-to-noise ratio is between the second signal-to-noise ratio threshold and the first signal-to-noise ratio threshold, the weight coefficient of the digital signal of the feedforward microphone 1, the weight coefficient of the digital signal of the conversation microphone 2 and the weight coefficient of the digital signal of the feedback microphone 3 are dynamically variable according to the change of the signal-to-noise ratio value.
As shown in fig. 4 and 5, a bluetooth noise reduction earphone includes an earplug 5, a controller 4, two earplugs 5, a feedforward microphone 1, a feedback microphone 3 and a communication microphone 2, wherein each earplug 5 is provided with one feedforward microphone 1 and one feedback microphone 3, the feedforward microphone 1 is disposed outside the earplug 5, the feedback microphone 3 is disposed in a coupling cavity between the earplug 5 and human ear, the controller 4 is provided with one communication microphone 2, the feedforward microphone 1, the feedback microphone 3 and the communication microphone 2 are all connected with the controller 4, and the controller 4 includes
An analog-to-digital conversion module 41, configured to convert the audio signal of the feedforward microphone 1, the audio signal of the feedback microphone 3, and the audio signal of the call microphone 2 into a digital signal of the feedforward microphone 1, a digital signal of the call microphone 2, and a digital signal of the feedback microphone 3;
a framing processing module 42, configured to perform framing processing on the digital signal of the feedforward microphone 1, the digital signal of the conversation microphone 2, and the digital signal of the feedback microphone 3;
a voice activation detection module 43, configured to analyze the digital signal of the feedforward microphone 1, the digital signal of the call microphone 2, and the digital signal of the feedback microphone 3 after framing processing, and identify a voice segment and a noise segment;
a signal-to-noise ratio calculation module 44, configured to calculate a signal-to-noise ratio according to the recognized speech segment and the recognized noise segment;
the weight distribution module 45 is used for adjusting the weight coefficients of the digital signal of the feedforward microphone 1, the digital signal of the conversation microphone 2 and the digital signal of the feedback microphone 3 according to the calculated signal-to-noise ratio;
a mixing module 46, configured to perform mixing processing on the weighted digital signal of the feedforward microphone 1, the digital signal of the conversation microphone 2, and the digital signal of the feedback microphone 3 to obtain a noise-reduced digital signal;
and a post-processing module 47, configured to perform post-processing on the noise-reduced digital signal.
Preferably, the controller 4 further comprises a digital-to-analog conversion module 48 for converting the post-processed noise reduction digital signal into a noise reduction audio signal.
The invention has the beneficial effects that: during conversation, a conversation microphone 2, a feedforward microphone 1 and a feedback microphone 3 of the earphone collect audio signals, the signal-to-noise ratio is calculated, weighting processing is correspondingly carried out on each microphone according to the signal-to-noise ratio, mixing processing is carried out after weighting processing, post processing is carried out on the signals after mixing processing, noise reduction audio signals are generated and output, and therefore the conversation noise reduction effect is good, and good experience is brought to a user; in addition, because the call microphone 2, the feedforward microphone 1 and the feedback microphone 3 which are arranged on the Bluetooth noise reduction earphone are used in the call noise reduction method, the call noise reduction performance can be improved without increasing the hardware cost.
The above description is only a preferred embodiment of the present invention, and all the minor modifications, equivalent changes and modifications made to the above embodiment according to the technical solution of the present invention are within the scope of the technical solution of the present invention.
Claims (9)
1. A method for reducing noise of a Bluetooth headset call is characterized by comprising the following steps: based on a Bluetooth noise reduction earphone, the noise reduction method comprises the following steps:
1) enabling the Bluetooth noise reduction earphone to enter a call mode;
2) a feedforward microphone, a call microphone and a feedback microphone on the Bluetooth noise reduction earphone pick up sound to obtain an audio signal of the feedforward microphone, an audio signal of the call microphone and an audio signal of the feedback microphone;
3) converting the audio signal of the feedforward microphone, the audio signal of the call microphone and the audio signal of the feedback microphone into a digital signal of the feedforward microphone, a digital signal of the call microphone and a digital signal of the feedback microphone;
4) framing the digital signal of the feedforward microphone, the digital signal of the conversation microphone and the digital signal of the feedback microphone;
5) analyzing the digital signals of the feedforward microphone, the conversation microphone and the feedback microphone after framing processing to identify a voice segment and a noise segment;
6) calculating a signal-to-noise ratio according to the recognized voice segment and the recognized noise segment;
7) weighting the digital signals of the feedforward microphone, the conversation microphone and the feedback microphone according to the calculated signal-to-noise ratio;
8) carrying out mixing processing on the weighted digital signal of the feedforward microphone, the digital signal of the conversation microphone and the digital signal of the feedback microphone to obtain a noise reduction digital signal;
9) and carrying out post-processing on the noise reduction digital signal to obtain a noise reduction audio signal.
2. The method of claim 1, wherein the method comprises the following steps: the key of framing the digital signals of the feedforward microphone, the conversation microphone and the feedback microphone in the step 4) is framing the PCM binary data of the digital signals of each microphone.
3. The method of claim 2, wherein the method comprises: and performing frame division processing on the PCM binary data of each microphone digital signal to obtain a short-time stationary audio signal of each frame.
4. The method of claim 3, wherein the method comprises the following steps: the method for analyzing the digital signals of the feedforward microphone, the conversation microphone and the feedback microphone after the framing processing in the step 5) comprises the following steps:
1) carrying out voice activation detection on the short-time stationary audio signals according to frames in sequence, and determining that the frames corresponding to the short-time stationary audio signals are voice frames or non-voice frames;
2) integrating the voice frames to obtain voice segments;
3) and integrating the non-speech frames to obtain noise segments.
5. The method of claim 4, wherein the method comprises: the method for calculating the signal-to-noise ratio according to the recognized voice segment and the recognized noise segment in the step 6) comprises the following steps:
1) obtaining the average amplitude of the voice segments to obtain the average amplitude of the voice;
2) obtaining the average amplitude of the noise segment to obtain the average amplitude of the noise;
3) and taking the ratio obtained by dividing the average voice amplitude and the average noise amplitude as a base number, taking e as a logarithm to carry out logarithmic operation, and multiplying the obtained logarithmic operation result by a multiple 20 to obtain the signal-to-noise ratio.
6. The method of claim 5, wherein the method comprises: and 7) correspondingly weighting the digital signals of the feedforward microphone, the conversation microphone and the feedback microphone according to the calculated signal-to-noise ratio, wherein the key of the weighting processing is to adjust the weight coefficients of the digital signals of the feedforward microphone, the conversation microphone and the feedback microphone through a weight distribution module in the Bluetooth noise reduction earphone.
7. The method for reducing noise in a bluetooth headset communication according to claim 6, wherein the noise reduction module is configured to generate noise; and 9), after post-processing the noise reduction digital signal, converting the post-processed noise reduction digital signal into a noise reduction audio signal.
8. The utility model provides a bluetooth noise reduction earphone which characterized in that: including earplug, controller, feedforward microphone, feedback microphone and conversation microphone, the earplug is two, is equipped with a feedforward microphone and a feedback microphone on every earplug, the outside of earplug is located to the feedforward microphone, the coupling intracavity of earplug and people's ear is located to the feedback microphone, be provided with a conversation microphone on the controller, feedforward microphone, feedback microphone and conversation microphone all are connected with the controller, the controller includes that earplug, controller, feedforward microphone, feedback microphone and conversation microphone are connected
The analog-to-digital conversion module is used for converting the audio signal of the feedforward microphone, the audio signal of the feedback microphone and the audio signal of the call microphone into the digital signal of the feedforward microphone, the digital signal of the call microphone and the digital signal of the feedback microphone;
the framing processing module is used for framing the digital signal of the feedforward microphone, the digital signal of the conversation microphone and the digital signal of the feedback microphone;
the voice activation detection module is used for analyzing the digital signals of the feedforward microphone, the conversation microphone and the feedback microphone after framing processing, and recognizing voice segments and noise segments;
the signal-to-noise ratio operation module is used for calculating the signal-to-noise ratio according to the recognized voice segment and the recognized noise segment;
the weight distribution module is used for adjusting the weight coefficients of the digital signal of the feedforward microphone, the digital signal of the conversation microphone and the digital signal of the feedback microphone according to the calculated signal-to-noise ratio;
the mixing module is used for mixing the weighted digital signals of the feedforward microphone, the conversation microphone and the feedback microphone to obtain noise reduction digital signals;
and the post-processing module is used for performing post-processing on the noise-reduction digital signal.
9. A bluetooth noise reducing headset according to claim 8, characterized in that: the controller also comprises a digital-to-analog conversion module which is used for converting the post-processed noise reduction digital signal into a noise reduction audio signal.
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Application publication date: 20210409 |