CN112019958B - Wind noise resisting method - Google Patents
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- CN112019958B CN112019958B CN202010787031.1A CN202010787031A CN112019958B CN 112019958 B CN112019958 B CN 112019958B CN 202010787031 A CN202010787031 A CN 202010787031A CN 112019958 B CN112019958 B CN 112019958B
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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
- H04R1/08—Mouthpieces; Microphones; Attachments therefor
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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
Abstract
The invention discloses a wind noise resisting method. According to the method for resisting the wind noise, a signal sample set of a first feedforward microphone and a signal sample set of a second feedforward microphone are obtained, a correlation coefficient characteristic and an energy characteristic are further obtained, whether the wind noise occurs in a use environment is judged through comparison of the correlation coefficient and the energy, the real-time wind noise is judged through real-time signal updating, when the wind noise occurs, the output of the first feedforward microphone and the output of the second feedforward microphone are reduced, and when the wind noise is over, the output is recovered. The wind noise resisting method carries out wind noise resisting treatment according to judgment of wind noise, can realize self-adaptive wind noise resisting effect, and reduces influence of the wind noise in the application process of the microphone to the maximum extent.
Description
Technical Field
The invention relates to a wind noise resisting method.
Background
In the microphone application process, the microphone is often required to be exposed to the external environment. For example, the feedforward microphone of the noise reduction earphone needs to be arranged outside the earphone to collect an ambient noise signal, when there is a strong wind in the environment, the feedforward microphone may collect wind noise, and the presence of the wind noise may affect the normal signal processing process. In order to alleviate the influence of wind noise, the existing earphone reduces the collected wind noise by adding a wind-proof conduit between the opening of the feedforward microphone of the earphone and the microphone or adjusting the position and the orientation of the feedforward microphone.
In order to improve the noise reduction effect, reliable wind noise detection needs to be performed before noise reduction, and the working state of the system needs to be optimized after wind noise is detected, so that the noise reduction effect in the presence of wind is improved.
Disclosure of Invention
The invention aims to provide a wind noise resisting method, which can be used for reliably detecting wind noise, optimizing the working state of a system according to the judgment of the wind noise, improving the noise reduction effect and solving the problems that the control effect of a head-wearing type active noise reduction earphone and a neck-wearing type active noise reduction earphone is poor and even extra noise is generated when wind noise exists.
In order to solve the technical problems, the technical scheme of the invention is as follows:
a method of resisting wind noise, comprising the steps of:
obtaining a first set of signal samples and a second set of signal samples with a first feedforward microphone and a second feedforward microphone;
obtaining first energy samples in the first signal sample set, obtaining second energy samples in the second signal sample set, and obtaining correlation coefficient samples in the first signal sample set and the second signal sample set;
continuously updating the first and second sets of signal samples to obtain a first set of energy samples, a second set of energy samples and a set of correlation coefficient samples,
when the number of correlation coefficient samples smaller than a first threshold value in the correlation coefficient sample set reaches 0.5-1.0 times of the number of samples in the correlation coefficient sample set, and when the first energy sample set and the second energy sample set both have values larger than a second threshold value, judging that wind noise occurs;
and when the number of the correlation coefficient samples larger than the third threshold value in the correlation coefficient sample set reaches 0.5-1.0 times of the number of the samples in the correlation coefficient sample set, judging that the wind noise is over.
When wind noise is detected to appear, the controller reduces the signal output of the feedforward control units corresponding to the first feedforward microphone and the second feedforward microphone and keeps the signal output of the feedback control unit corresponding to the feedback microphone;
and when the wind noise is detected to be finished, the controller recovers the signal output of the feedforward control units corresponding to the first feedforward microphone and the second feedforward microphone.
Preferably, when wind noise occurs, the controller reduces the intensity of the signal output of the feedforward control unit corresponding to the first feedforward microphone and the second feedforward microphone to 0 to 0.8 times of the original intensity.
Preferably, the same sampling rate is set for sampling, and the first signal sample set and the second signal sample set are obtained.
Preferably, the first signal sample set and the second signal sample set are updated, and the sample repetition rate in the sample set is set to be 20-80%.
Preferably, a time domain correlation or frequency domain correlation solving formula is adopted to solve the correlation coefficient, and a correlation coefficient sample is obtained.
Preferably, the energy solution is performed by using a sum of squares formula, and the first energy sample and the second energy sample are obtained.
Preferably, the first threshold value taking method is as follows: and in the anechoic chamber, a sound source is arranged in front of the microphones, a stable sound source is played, when the sound pressure levels of the first feedforward microphone and the second feedforward microphone are both 60dB, the first feedforward microphone and the second feedforward microphone acquire signals and solve the correlation coefficient to acquire the correlation coefficient in the anechoic chamber, and 0.1-0.5 times of the correlation coefficient in the anechoic chamber is cancelled to be used as a first threshold value.
Preferably, the second threshold value taking method is as follows: in the anechoic chamber, when noise is background noise of the anechoic chamber, signals of a first feedforward microphone and a second feedforward microphone are obtained, energy solution is carried out, and 5dB is added to the energy in the anechoic chamber to serve as a second threshold value.
Preferably, the third threshold value taking method is as follows: and in the anechoic chamber, a sound source is arranged in front of the microphones, a stable sound source is played, when the sound pressure levels at the first feedforward microphone and the second feedforward microphone are both 60dB, the first feedforward microphone and the second feedforward microphone acquire signals and carry out correlation coefficient solving to acquire correlation coefficients in the anechoic chamber, and 0.2-0.9 times of the correlation coefficients in the anechoic chamber are cancelled to be used as a third threshold value.
Compared with the prior art, the invention has the following advantages: according to the wind noise resisting method, a signal sample set obtained by two microphones at the same time point is obtained, characteristic analysis is carried out on the signal sample, and whether wind noise exists in the environment in use or not is judged in real time through correlation and energy characteristics. Furthermore, a signal sample set of the two microphones is dynamically acquired in real time, characteristic analysis is carried out on the signal samples, wind noise resistance processing is carried out according to judgment of wind noise, when wind noise occurs, the output of the first feedforward microphone and the second feedforward microphone is reduced, and when the wind noise is finished, the output is recovered, so that a self-adaptive wind noise resistance effect can be realized, the influence of the wind noise in the microphone application process is reduced to the maximum extent, and the noise reduction effect is improved.
Drawings
The drawings described herein are for illustration purposes only and are not intended to limit the scope of the present disclosure in any way. In addition, the shapes, the proportional sizes, and the like of the respective members in the drawings are merely schematic for facilitating the understanding of the present invention, and do not specifically limit the shapes, the proportional sizes, and the like of the respective members of the present invention. Those skilled in the art, having the benefit of the teachings of this invention, may choose from the various possible shapes and proportional sizes to implement the invention as a matter of case. In the drawings:
fig. 1 and fig. 2 are flowcharts of a method for detecting wind noise according to a first embodiment of the present invention.
Detailed Description
In order to make those skilled in the art better understand the technical solution of the present invention, the technical solution in the embodiment of the present invention will be clearly and completely described below with reference to the drawings in the embodiment of the present invention, and it is obvious that the described embodiment is only a part of the embodiment of the present invention, and not all embodiments. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, shall fall within the scope of protection of the present invention.
It will be understood that when an element is referred to as being "disposed on" another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present. The terms "vertical," "horizontal," "left," "right," and the like as used herein are for illustrative purposes only and do not denote a single embodiment.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
Example one
A method of detecting wind noise comprising the steps of:
referring to fig. 1 and 2, a first set of signal samples is obtained from a first feedforward microphone; a second set of signal samples is obtained from a second feedforward microphone, the first and second sets of signal samples being obtained simultaneously.
The first feedforward microphone and the second feedforward microphone are connected by a wire.
Performing correlation and energy signature analysis on the first set of signal samples and the second set of signal samples. Obtaining first energy samples within the first set of signal samples, obtaining second energy samples within the second set of signal samples, and obtaining correlation coefficient samples within the first and second sets of signal samples.
The first signal sample set and the second signal sample set are continuously updated, specifically, the original signal in the signal sample set is replaced by the newly acquired signal sample, and the updated first signal sample set and the updated second signal sample set are obtained. And performing correlation and energy characteristic analysis on the updated first signal sample set and the second signal sample set by adopting the same method to obtain a first energy sample, a second energy sample and a correlation coefficient sample so as to obtain a first energy sample set, a second energy sample set and a correlation coefficient sample set.
And when the number of the correlation coefficient samples smaller than the first threshold value in the correlation coefficient sample set reaches 0.5-1.0 times of the number of the samples in the correlation coefficient sample set, and when the first energy sample set and the second energy sample set both have values larger than the second threshold value, judging that wind noise occurs.
And when the number of the correlation coefficient samples larger than the third threshold value in the correlation coefficient sample set reaches 0.5-1.0 times of the number of the samples in the correlation coefficient sample set, judging that the wind noise is over.
And when the first and second signal sample sets are obtained from the first and second feedforward microphones, setting a sampling rate, for example, the sampling rate is 16kHz, the first and second feedforward microphones simultaneously sample, and continuously collect external signals to form respective signal streams, the signals are divided into signal windows with length L, for example, L is 512, and the first and second signal sample sets with the number of samples of 512 are obtained. And carrying out correlation and energy characteristic analysis on the first signal sample set and the second signal sample set to obtain a first energy sample, a second energy sample and a correlation coefficient sample. The method comprises the steps that signals are continuously acquired by a first feedforward microphone and a second feedforward microphone, signals in a first signal sample set and a second signal sample set are continuously updated, in order to keep stability of data, the overlapping rate of signal samples in the first signal sample set and the second signal sample set is set to be 20-80%, preferably 50%, and when the number of newly acquired signals reaches half of the total number of the signal sample sets, the newly acquired signals are used for replacing the half of signals acquired at first in an original sample set. And performing correlation and energy characteristic analysis on the updated first signal sample set and the second signal sample set to obtain updated first energy samples, second energy samples and correlation coefficient samples, forming a first energy sample set by the continuously obtained first energy samples, and forming a second energy sample set and a correlation coefficient sample set by the same method.
And when wind noise is detected, a correlation coefficient characteristic solving formula is adopted to carry out correlation coefficient characteristic solving on the first signal sample set and the second signal sample set, so as to obtain correlation coefficient samples. And simultaneously, respectively carrying out energy characteristic solving on the first signal sample set and the second signal sample set by adopting an energy solving formula.
And when the correlation coefficient characteristics are solved, a time domain correlation solving formula or a frequency domain correlation solving formula is adopted to solve the correlation coefficients to obtain correlation coefficient samples.
The first set of signal samples is denoted by WLi and the second set of signal samples is denoted by WRi.
When the time domain correlation solving formula is adopted to solve the correlation coefficient,
the time domain correlation coefficient x is max (corr (WLi, WRi))/sqrt (WLi ^2 xWRi ^ 2). Where corr is a function of the correlation coefficient and max is a function of the maximum.
When the frequency domain correlation solving formula is adopted to solve the correlation coefficient,
firstly, Fourier transform is carried out on a signal sample by adopting the following formula to obtain frequency domain information,
f1 fft (wli), F2 fft (wri); where F1 represents frequency domain information for the first set of signal samples and F2 represents frequency domain information for the second set of signal samples.
Then, the frequency domain correlation coefficient is solved, and the frequency domain correlation coefficient WF is F1 × F2. The respective amplitudes in WF represent the correlation coefficients at the respective frequencies. Therefore, the amplitude corresponding to the effective frequency band in WF is taken as the correlation coefficient at the current time. Preferably, the sum of squares of correlation coefficients corresponding to frequency bands below 500Hz is used.
And when the energy characteristics are solved, energy solution is carried out by adopting a square sum formula. The sum of the squares of all signal samples in the first set of signal samples is a first energy sample, and the sum of the squares of all signal samples in the second set of signal samples is a second energy sample.
Obtaining the first set of energy samples, the second set of energy samples and the set of correlation coefficient samples as the first set of signal samples and the second set of signal samples are continuously updated.
And when the number of the correlation coefficient samples smaller than the first threshold value in the correlation coefficient sample set reaches 0.5-1.0 times of the number of the correlation coefficient sample set samples, and when the first energy sample set and the second energy sample set both have the first energy sample value and the second energy sample value larger than the second threshold value, judging that wind noise occurs.
And when the number of the correlation coefficient samples larger than a third threshold value in the correlation coefficient sample set reaches 0.5-1.0 time of the number of the correlation coefficient sample set samples, judging that the wind noise is over.
The first threshold value dereferencing method comprises the following steps: and in the anechoic chamber, a sound source is arranged in front of the microphones, a stable sound source is played, when the sound pressure levels of the first feedforward microphone and the second feedforward microphone are both 60dB, the first feedforward microphone and the second feedforward microphone acquire signals and solve the correlation coefficient to acquire the correlation coefficient in the anechoic chamber, and 0.1-0.5 times of the correlation coefficient in the anechoic chamber is cancelled to be used as a first threshold value.
The second threshold value taking method comprises the following steps: in the anechoic chamber, when noise is background noise of the anechoic chamber, signals of a first feedforward microphone and a second feedforward microphone are obtained, energy solution is carried out, and 5dB is added to the energy in the anechoic chamber to serve as a second threshold value.
The third threshold value taking method comprises the following steps: and in the anechoic chamber, a sound source is arranged in front of the microphones, a stable sound source is played, when the sound pressure levels at the first feedforward microphone and the second feedforward microphone are both 60dB, the first feedforward microphone and the second feedforward microphone acquire signals and carry out correlation coefficient solving to acquire correlation coefficients in the anechoic chamber, and 0.2-0.9 times of the correlation coefficients in the anechoic chamber are cancelled to be used as a third threshold value.
The method for detecting the wind noise identifies whether the wind noise exists in the microphone in the using process through simultaneous judgment of the correlation and the energy, and is high in accuracy, convenient and fast.
Example two
A method of resisting wind noise, comprising the steps of:
and setting a sampling rate, and continuously acquiring external signals by the first feedforward microphone and the second feedforward microphone to form respective signal streams to obtain a first signal sample set and a second signal sample set. The method for detecting wind noise according to the first embodiment is adopted to detect wind noise, when wind noise is detected, the controller reduces the signal output of the feedforward control units corresponding to the first feedforward microphone and the second feedforward microphone, keeps the signal output of the feedback control unit corresponding to the feedback microphone, and when wind noise is detected to be over, the controller restores the signal output of the feedforward control units corresponding to the first feedforward microphone and the second feedforward microphone. Specifically, when wind noise occurs, the controller reduces the intensity of the signal output of the feedforward control unit corresponding to the first feedforward microphone and the second feedforward microphone to 0 to 0.8 times of the original intensity.
The first feedforward microphone and the second feedforward microphone continuously collect outside signals to form respective signal streams, the signals are divided into signal windows with the length of L, and signal samples in the first signal sample set and the second signal sample set are obtained. The first feedforward microphone and the second feedforward microphone continuously collect external signals, and after new signals are collected, the first signal sample set and the second signal sample set are continuously updated, specifically, the overlapping rate of the first signal sample set and the second signal sample set is set to be 50%, and when the number of the newly collected signals reaches half of the total number of the signal sample sets, the newly collected signals are used for replacing half of the signals collected firstly in the original sample sets. And setting the length L of the signal window to 512, after a new signal is acquired, sliding the signal window once every 256 signal points, updating the signal samples in the signal sample set, and updating the first signal sample set and the second signal sample set simultaneously.
EXAMPLE III
An apparatus for detecting wind noise, comprising:
a first feedforward microphone, a second feedforward microphone and a controller,
the controller obtains a first set of signal samples from a first feedforward microphone;
obtaining a second set of signal samples from a second feedforward microphone, the first and second sets of signal samples being obtained simultaneously;
obtaining first energy samples in the first signal sample set, obtaining second energy samples in the second signal sample set, and obtaining correlation coefficient samples in the first signal sample set and the second signal sample set;
continuously updating the first and second sets of signal samples to obtain a first set of energy samples, a second set of energy samples and a set of correlation coefficient samples,
when the number of correlation coefficient samples smaller than a first threshold value in the correlation coefficient sample set reaches 0.5-1.0 times of the number of samples in the correlation coefficient sample set, and when the first energy sample set and the second energy sample set both have values larger than a second threshold value, judging that wind noise occurs;
and when the number of the correlation coefficient samples larger than the third threshold value in the correlation coefficient sample set reaches 0.5-1.0 times of the number of the samples in the correlation coefficient sample set, judging that the wind noise is over.
The apparatus for detecting wind noise comprises a headset or a neck headset.
The left and right ear front feedback microphones of the head-wearing or neck-wearing earphone can be directly connected, and whether wind noise exists can be judged by utilizing the relation between signals of the left and right ears, so that the control of the wind noise is realized. The first feedforward microphone and the second feedforward microphone are front feedback microphones of the left ear and the right ear of the head-wearing type or the neck-wearing type earphone, and signals acquired by the feedforward microphones of the left ear and the right ear are utilized to judge whether wind noise exists. When wind noise is detected to appear, a controller in the earphone reduces signal output of feedforward control units corresponding to the first feedforward microphone and the second feedforward microphone, keeps signal output of a feedback control unit corresponding to a feedback microphone, and when wind noise is detected to end, the controller restores signal output of the feedforward control units corresponding to the first feedforward microphone and the second feedforward microphone.
It is to be understood that the above description is intended to be illustrative, and not restrictive. Many embodiments and many applications other than the examples provided would be apparent to those of skill in the art upon reading the above description. The scope of the present teachings should, therefore, be determined not with reference to the above description, but should instead be determined with reference to the appended claims, along with the full scope of equivalents to which such claims are entitled. The disclosures of all articles and references, including patent applications and publications, are hereby incorporated by reference for all purposes. The omission in the foregoing claims of any aspect of subject matter that is disclosed herein is not intended to forego such subject matter, nor should the applicant consider that such subject matter is not considered part of the disclosed subject matter.
Claims (7)
1. A method of resisting wind noise, comprising the steps of:
obtaining a first set of signal samples and a second set of signal samples with a first feedforward microphone and a second feedforward microphone;
obtaining first energy samples in the first signal sample set, obtaining second energy samples in the second signal sample set, and obtaining correlation coefficient samples in the first signal sample set and the second signal sample set; performing energy solution by adopting a square sum formula to obtain the first energy sample and the second energy sample; solving a correlation coefficient by adopting a time domain correlation or frequency domain correlation solving formula to obtain a correlation coefficient sample;
continuously updating the first and second sets of signal samples to obtain a first set of energy samples, a second set of energy samples and a set of correlation coefficient samples,
when the number of correlation coefficient samples smaller than a first threshold value in the correlation coefficient sample set reaches 0.5-1.0 times of the number of samples in the correlation coefficient sample set, and when the first energy sample set and the second energy sample set both have values larger than a second threshold value, judging that wind noise occurs;
when the number of the correlation coefficient samples larger than the third threshold value in the correlation coefficient sample set reaches 0.5-1.0 times of the number of the samples in the correlation coefficient sample set, judging that the wind noise is over;
when wind noise is detected to appear, the controller reduces the signal output of the feedforward control units corresponding to the first feedforward microphone and the second feedforward microphone and keeps the signal output of the feedback control unit corresponding to the feedback microphone;
and when the wind noise is detected to be finished, the controller recovers the signal output of the feedforward control units corresponding to the first feedforward microphone and the second feedforward microphone.
2. The method for resisting wind noise according to claim 1, wherein when wind noise occurs, the controller reduces the intensity of the signal output of the feedforward control unit corresponding to the first feedforward microphone and the second feedforward microphone to 0-0.8 times of the original intensity.
3. The method of claim 1, wherein the same sampling rate is set for sampling, and the first set of signal samples and the second set of signal samples are obtained.
4. The method of wind noise resistance according to claim 1, wherein the first set of signal samples and the second set of signal samples are updated to set a sample repetition rate within the set of samples to be 20-80%.
5. The method for resisting wind noise according to claim 1, wherein the first threshold value is obtained by: and in the anechoic chamber, a sound source is arranged in front of the microphones, a stable sound source is played, when the sound pressure levels of the first feedforward microphone and the second feedforward microphone are both 60dB, the first feedforward microphone and the second feedforward microphone acquire signals and solve the correlation coefficient to acquire the correlation coefficient in the anechoic chamber, and 0.1-0.5 times of the correlation coefficient in the anechoic chamber is cancelled to be used as a first threshold value.
6. The method for resisting wind noise according to claim 1, wherein the second threshold value is obtained by: in the anechoic chamber, when noise is background noise of the anechoic chamber, signals of a first feedforward microphone and a second feedforward microphone are obtained, energy solution is carried out, and 5dB is added to the energy in the anechoic chamber to serve as a second threshold value.
7. The method for resisting wind noise according to claim 1, wherein the third threshold value is obtained by: and in the anechoic chamber, a sound source is arranged in front of the microphones, a stable sound source is played, when the sound pressure levels at the first feedforward microphone and the second feedforward microphone are both 60dB, the first feedforward microphone and the second feedforward microphone acquire signals and carry out correlation coefficient solving to acquire correlation coefficients in the anechoic chamber, and 0.2-0.9 times of the correlation coefficients in the anechoic chamber are cancelled to be used as a third threshold value.
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| CN113259797B (en) * | 2021-04-06 | 2022-06-14 | 歌尔股份有限公司 | Noise reduction circuit, noise reduction method and earphone |
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