CN117812500B - Earphone wind noise prevention test method and equipment based on audio signal processing - Google Patents
Earphone wind noise prevention test method and equipment based on audio signal processing Download PDFInfo
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Abstract
The invention relates to the technical field of earphone wind noise prevention, in particular to an earphone wind noise prevention test method and equipment based on audio signal processing, which are used for solving the problems that the traditional wind noise prevention earphone cannot accurately evaluate the wind noise prevention performance of the earphone, and various noises of the earphone cannot be optimally processed, so that the accuracy of a test result is not high and the wearing comfort of the earphone is not good; the earphone wind noise prevention testing method comprises the following modules: the system comprises a wearing monitoring module, a data analysis module, a wind noise adjusting platform, a habit monitoring module and an automatic adjusting module; the earphone wind noise prevention test method can evaluate and adjust the wind noise prevention performance of the earphone, avoids subjectivity of manual hearing evaluation, improves objectivity of test results, eliminates influence of non-wind noise components on the test results, improves evaluation accuracy, and has the advantages of being strong in objectivity, high in accuracy, high in efficiency, strong in expandability and the like.
Description
Technical Field
The invention relates to the technical field of earphone wind noise prevention, in particular to an earphone wind noise prevention test method and equipment based on audio signal processing.
Background
With the continuous development of technology, headphones have become an indispensable audio device in people's daily life. However, when using the earphone outdoors, wind noise can produce serious influence to the tone quality of earphone, reduces the testers experience. Therefore, it is particularly important to test and evaluate the wind noise prevention performance of the earphone. Patent application number CN201811274916.0 discloses a method for preventing wind noise, earphone and storage medium, wherein the method comprises: acquiring a first noise signal and a second noise signal respectively acquired by a feedforward microphone and a reference microphone of the earphone, wherein a windward surface of the reference microphone is covered with an anti-wind layer; determining a wind noise signal contained in the first noise signal according to a difference between the first noise signal and the second noise signal; and stopping feedforward noise reduction processing on the useful signals output by the loudspeaker in the earphone when the wind noise signals do not meet feedforward noise reduction conditions. In this embodiment, it may be determined that the wind noise signal included in the first noise signal, when the wind noise signal does not meet the feedforward noise reduction condition, the feedforward noise reduction function of the earphone may be stopped, so as to avoid the influence of the wind noise signal on the feedforward noise reduction function of the earphone, thereby improving the hearing experience of the tester, but the following disadvantages still exist: the wind noise prevention performance of the earphone cannot be accurately evaluated, various noises of the earphone cannot be optimally processed, and accordingly the accuracy of a test result is low and the wearing comfort of the earphone is poor.
Disclosure of Invention
In order to overcome the technical problems, the invention aims to provide a method and equipment for testing wind noise prevention of an earphone based on audio signal processing: the system comprises a data analysis module, a monitor module, a data processing module, an earphone, an automatic adjusting module, an earphone speaker and an earphone noise adjusting module, wherein the intensity coefficient comprises a sound intensity value and a wind intensity value, the sound intensity ratio is obtained according to the intensity coefficient through the data analysis module, a habit monitoring instruction is generated according to the sound intensity ratio through a wind noise adjusting platform, the sound intensity coefficient is obtained according to historical data after the habit monitoring instruction is received through the habit monitoring module, the sound intensity coefficient comprises an average value, a sound value and an average value, the data analysis module obtains a tuning value according to the sound intensity coefficient, the earphone is subjected to audio signal processing through the automatic adjusting module, the earphone speaker is adjusted according to the tuning value, and earphone noise around the speaker is eliminated, so that the problems that the wind noise performance of the earphone cannot be accurately evaluated, various noises of the earphone cannot be optimally processed, and the accuracy of a test result is not high, and the wearing comfort of the earphone is poor are solved.
The aim of the invention can be achieved by the following technical scheme:
the earphone wind noise prevention test method based on audio signal processing comprises the following steps:
step one: the wearing monitoring module acquires an intensity coefficient according to the actual situation that a tester wears the earphone, wherein the intensity coefficient comprises a sound intensity value SQ and a wind intensity value FQ, and sends the intensity coefficient to the data analysis module;
Step two: the data analysis module obtains the sound-wind ratio SF according to the intensity coefficient and sends the sound-wind ratio SF to the wind noise adjustment platform;
Step three: the wind noise adjusting platform generates habit monitoring instructions according to the sound-wind ratio SF and sends the habit monitoring instructions to the habit monitoring module;
step four: the habit monitoring module receives the habit monitoring instruction, acquires a sound intensity coefficient according to the historical data, wherein the sound intensity coefficient comprises an average value JP, a sound value SS and an average value JS, and sends the sound intensity coefficient to the data analysis module;
Step five: the data analysis module obtains a tone value TY according to the sound intensity coefficient and sends the tone value TY to the automatic adjustment module;
Step six: the automatic adjusting module processes the audio signal of the earphone, adjusts the loudspeaker of the earphone according to the tone value TY, and eliminates the noise of the earphone around the loudspeaker.
As a further scheme of the invention: the specific process of acquiring the sound intensity value SQ by the wearing monitoring module is as follows:
the sound intensity of the speaker playing the audio when the test person wears the earphone is obtained, and the sound intensity is marked as a sound intensity value SQ.
As a further scheme of the invention: the specific process of acquiring the wind intensity value FQ by the wearing monitoring module is as follows:
Marking the wearing front of the earphone as a broadcasting surface, marking the back of the earphone on the broadcasting surface as a wind noise surface, acquiring the wind speed at the wind noise surface, marking the wind speed as a wind speed value FS, acquiring the included angle between the wind direction at the wind noise surface and the wind noise surface, marking the included angle as a face angle value JM, carrying out quantization processing on the wind speed value FS and the face angle value JM, extracting the values of the wind speed value FS and the face angle value JM, substituting the values into a formula for calculation, and obtaining the included angle between the wind direction at the wind noise surface and the wind noise surface according to the formula And obtaining a wind intensity value FQ, wherein f1 and f2 are preset proportional coefficients corresponding to a set wind speed value FS and a face angle value JM respectively, f1 and f2 meet f1+f2=1, 0 < f2 < f1 < 1, f1=0.64 is taken, and f2=0.36.
As a further scheme of the invention: the specific process of obtaining the sound-wind ratio SF by the data analysis module is as follows:
Quantizing the sound intensity value SQ and the wind intensity value FQ, extracting the values of the sound intensity value SQ and the wind intensity value FQ, substituting the values into a formula for calculation, and calculating according to the formula Obtaining a sound-wind ratio SF, wherein sigma is a preset error adjustment factor, sigma=1.109 is taken, q1 and q2 are respectively preset proportionality coefficients corresponding to a set sound intensity value SQ and a set wind intensity value FQ, q1 and q2 meet q1+q2=1, 0 < q1 < q2 < 1, q1=0.45 and q2=0.55;
and sending the sound-wind ratio SF to a wind noise adjusting platform.
As a further scheme of the invention: the specific process of generating habit monitoring instructions by the wind noise adjusting platform is as follows:
Comparing the sound-wind ratio SF with a preset sound-wind ratio threshold SFy:
And if the sound-wind ratio SF is smaller than the sound-wind ratio threshold SFy, generating a habit monitoring instruction, and sending the habit monitoring instruction to the habit monitoring module.
As a further scheme of the invention: the specific process of acquiring the average value JP by the habit monitoring module is as follows:
After receiving the habit monitoring instruction, acquiring an average value of sound intensity values SQ of a tester in the process of wearing the earphone each time in the history data, marking the average value as sound level values SP, sequencing all sound level values SP in a descending order, acquiring a sound level value list, acquiring sound level values SP positioned at a middle position in the sound level value list, marking only one sound level value SP at the middle position as an average value JP, and marking the average value of the two sound level values SP as the average value JP if the sound level values SP at the middle position are two.
As a further scheme of the invention: the specific process of the habit monitoring module obtaining the sound value SS is as follows:
and acquiring a sound intensity value SQ of the historical data in the process of wearing the earphone by the tester last time, acquiring the total time occupied by different sound intensity values SQ, and marking the sound intensity value SQ with the longest total occupied time as a sound value SS.
As a further scheme of the invention: the specific process of the habit monitoring module obtaining the average value JS is as follows:
and acquiring the sound values SS of the testers in the history data in each earphone wearing process, acquiring the average value of all the sound values SS, and marking the average value as a uniform value JS.
As a further scheme of the invention: the specific process of the data analysis module for obtaining the tone value TY is as follows:
Quantizing the average value JP, the sound value SS and the average value JS, extracting the values of the average value JP, the sound value SS and the average value JS, substituting the values into a formula for calculation, and calculating according to the formula Obtaining a tone value TY, wherein epsilon is a preset error adjustment factor, epsilon=1.033, t1, t2 and t3 are respectively preset proportional coefficients corresponding to a set average value JP, an acoustic value SS and an average value JS, t1, t2 and t3 meet t1+t2+t3=1, 0 < t3 < t2 < t1 < 1, t1=0.47, t2=0.31 and t3=0.22;
and sending the tuning value TY to an automatic adjusting module.
As a further scheme of the invention: the specific process of the automatic adjusting module for processing the audio signal of the earphone is as follows:
Adjusting the earphone speaker according to the tuning value TY, and enabling the sound intensity value sq=tuning value TY;
All sounds around the earphone except for the audio played by the loudspeaker are acquired and marked as earphone noise, the acoustic wave form of the earphone noise is acquired and marked as a positive wave form, the acoustic wave with the phase opposite to that of the positive wave form is generated and marked as a negative wave form, the negative wave form is mixed in the earphone loudspeaker to play the audio, and the sound intensity of the negative wave form is regulated according to the preset sound intensity increasing rate until the sound-wind ratio SF is more than or equal to the sound-wind ratio threshold SFy.
As a further scheme of the invention: earphone wind noise prevention test equipment based on audio signal processing includes following module:
the wearing monitoring module is used for acquiring an intensity coefficient according to the actual situation that the tester wears the earphone and sending the intensity coefficient to the data analysis module; wherein the intensity coefficient comprises a sound intensity value SQ and a wind intensity value FQ;
the data analysis module is used for obtaining the sound-wind ratio SF according to the intensity coefficient and sending the sound-wind ratio SF to the wind noise adjustment platform; the sound intensity coefficient is used for obtaining a sound modulation value TY according to the sound intensity coefficient and sending the sound modulation value TY to the automatic adjusting module;
The wind noise adjusting platform is used for generating habit monitoring instructions according to the sound-wind ratio SF and sending the habit monitoring instructions to the habit monitoring module;
The habit monitoring module is used for acquiring the sound intensity coefficient according to the historical data after receiving the habit monitoring instruction and sending the sound intensity coefficient to the data analysis module; wherein, the sound intensity coefficient comprises an average value JP, a sound value SS and an average value JS;
and the automatic adjusting module is used for processing the audio signal of the earphone, adjusting the loudspeaker of the earphone according to the tone value TY and eliminating the noise of the earphone around the loudspeaker.
The invention has the beneficial effects that:
According to the earphone wind noise prevention test method and equipment based on the audio signal processing, firstly, the wearing condition of the earphone for testing the performance of the earphone is monitored, under the wind noise environment, the intensity coefficient is collected by the earphone to be tested, then the intensity coefficient is subjected to data processing, the wind noise prevention effect of the earphone can be comprehensively measured according to the sound-wind ratio obtained by the intensity coefficient, the larger the sound-wind ratio is, the better the wind noise prevention effect is, otherwise, the wind noise prevention effect is poor, then the historical data is subjected to data analysis, the sound intensity coefficient is obtained, the comfort degree of a tester wearing the earphone for playing the audio can be comprehensively measured according to the tone value obtained by the sound intensity coefficient, the earphone loudspeaker is regulated by the tone value, finally, the corresponding inverse waveform is generated according to the noise around the loudspeaker, and noise reduction is realized by utilizing the interference principle of the sound wave, so that the playing audio is clearer, and the automatic noise reduction of the earphone is realized; the earphone wind noise prevention test method can evaluate and adjust the wind noise prevention performance of the earphone, avoids subjectivity of manual hearing evaluation, improves objectivity of test results, eliminates influence of non-wind noise components on the test results, improves evaluation accuracy, and has the advantages of being strong in objectivity, high in accuracy, high in efficiency, strong in expandability and the like.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a flow chart of a method for earphone wind noise prevention test based on audio signal processing in the present invention;
Fig. 2 is a schematic block diagram of an earphone wind noise prevention test apparatus based on audio signal processing in the present invention.
Detailed Description
The technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1, the present embodiment is a method for testing wind noise prevention of an earphone based on audio signal processing, including the following steps:
step one: the wearing monitoring module acquires an intensity coefficient according to the actual situation that a tester wears the earphone, wherein the intensity coefficient comprises a sound intensity value SQ and a wind intensity value FQ, and sends the intensity coefficient to the data analysis module;
Step two: the data analysis module obtains the sound-wind ratio SF according to the intensity coefficient and sends the sound-wind ratio SF to the wind noise adjustment platform;
Step three: the wind noise adjusting platform generates habit monitoring instructions according to the sound-wind ratio SF and sends the habit monitoring instructions to the habit monitoring module;
step four: the habit monitoring module receives the habit monitoring instruction, acquires a sound intensity coefficient according to the historical data, wherein the sound intensity coefficient comprises an average value JP, a sound value SS and an average value JS, and sends the sound intensity coefficient to the data analysis module;
Step five: the data analysis module obtains a tone value TY according to the sound intensity coefficient and sends the tone value TY to the automatic adjustment module;
Step six: the automatic adjusting module processes the audio signal of the earphone, adjusts the loudspeaker of the earphone according to the tone value TY, and eliminates the noise of the earphone around the loudspeaker.
Example 2
Referring to fig. 2, the present embodiment is an earphone wind noise prevention test device based on audio signal processing, including the following modules: the system comprises a wearing monitoring module, a data analysis module, a wind noise adjusting platform, a habit monitoring module and an automatic adjusting module;
the wear monitoring module is used for acquiring an intensity coefficient according to the actual situation that a tester wears the earphone and sending the intensity coefficient to the data analysis module; wherein the intensity coefficient comprises a sound intensity value SQ and a wind intensity value FQ;
the data analysis module is used for obtaining the sound-wind ratio SF according to the intensity coefficient, sending the sound-wind ratio SF to the wind noise adjustment platform, obtaining the tone value TY according to the intensity coefficient, and sending the tone value TY to the automatic adjustment module;
The wind noise adjusting platform is used for generating habit monitoring instructions according to the sound-wind ratio SF and sending the habit monitoring instructions to the habit monitoring module;
The habit monitoring module is used for acquiring a sound intensity coefficient according to historical data after receiving a habit monitoring instruction and sending the sound intensity coefficient to the data analysis module; wherein, the sound intensity coefficient comprises an average value JP, a sound value SS and an average value JS;
The automatic adjusting module is used for processing audio signals of the earphone, adjusting the earphone loudspeaker according to the tone value TY and eliminating earphone noise around the loudspeaker.
Example 3
Based on any one of the above embodiments, the present embodiment is a wearable monitoring module, and the wearable monitoring module is used for obtaining an intensity coefficient, where the intensity coefficient includes a sound intensity value SQ and a wind intensity value FQ, and the specific process is as follows:
the method comprises the steps that a wearing monitoring module obtains the sound intensity of a speaker playing audio when a tester wears the earphone, and marks the sound intensity as a sound intensity value SQ;
The wearing monitoring module marks the wearing front surface of the earphone as a broadcasting surface, marks the back surface of the earphone on the broadcasting surface as a wind noise surface, acquires the wind speed at the wind noise surface, marks the wind speed as a wind speed value FS, acquires the included angle between the wind direction at the wind noise surface and the wind noise surface, marks the included angle as a face angle value JM, carries out quantization processing on the wind speed value FS and the face angle value JM, extracts the values of the wind speed value FS and the face angle value JM, substitutes the values into a formula to calculate, and calculates according to the formula Obtaining a wind intensity value FQ, wherein f1 and f2 are preset proportional coefficients corresponding to a set wind speed value FS and a face angle value JM respectively, f1 and f2 meet f1+f2=1, 0 < f2 < f1 < 1, f1=0.64 is taken, and f2=0.36;
the wearing monitoring module sends the sound intensity value SQ and the wind intensity value FQ to the data analysis module.
Example 4
Based on any one of the above embodiments, the present embodiment is a data analysis module, which has two functions;
the first function is to obtain the sound-wind ratio SF, and the specific process is as follows:
the data analysis module carries out quantization processing on the sound intensity value SQ and the wind intensity value FQ, extracts the numerical values of the sound intensity value SQ and the wind intensity value FQ, substitutes the numerical values into a formula for calculation, and calculates according to the formula Obtaining a sound-wind ratio SF, wherein sigma is a preset error adjustment factor, sigma=1.109 is taken, q1 and q2 are respectively preset proportionality coefficients corresponding to a set sound intensity value SQ and a set wind intensity value FQ, q1 and q2 meet q1+q2=1, 0 < q1 < q2 < 1, q1=0.45 and q2=0.55;
the data analysis module sends the sound-wind ratio SF to a wind noise adjustment platform;
the second function is to obtain the tone value TY, and the specific process is as follows:
The data analysis module carries out quantization processing on the average value JP, the sound time value SS and the average value JS, extracts the values of the average value JP, the sound time value SS and the average value JS, substitutes the values into a formula to calculate, and then calculates according to the formula Obtaining a tone value TY, wherein epsilon is a preset error adjustment factor, epsilon=1.033, t1, t2 and t3 are respectively preset proportional coefficients corresponding to a set average value JP, an acoustic value SS and an average value JS, t1, t2 and t3 meet t1+t2+t3=1, 0 < t3 < t2 < t1 < 1, t1=0.47, t2=0.31 and t3=0.22;
The data analysis module sends the tuning value TY to the automatic adjustment module.
Example 5
Based on any one of the above embodiments, the present embodiment is a wind noise adjustment platform, and the wind noise adjustment platform is used for generating habit monitoring instructions, and the specific process is as follows:
The wind-to-wind ratio SF is compared with a preset wind-to-wind ratio threshold SFy by the wind-to-noise adjustment platform:
And if the sound-wind ratio SF is smaller than the sound-wind ratio threshold SFy, generating a habit monitoring instruction, and sending the habit monitoring instruction to the habit monitoring module.
Example 6
Based on any one of the above embodiments, the present embodiment is a habit monitoring module, and the habit monitoring module is used for obtaining a sound intensity coefficient, where the sound intensity coefficient includes an average value JP, a sound duration SS and an average value JS, and the specific process is as follows:
The habit monitoring module receives habit monitoring instructions, acquires an average value of sound intensity values SQ of a tester in the process of wearing the earphone each time in the history data, marks the average value as sound level values SP, sequences all the sound level values SP in a sequence from big to small, acquires a sound level value list, acquires sound level values SP positioned at a middle position in the sound level value list, marks only one sound level value SP at the middle position as an average value JP if the sound level values SP at the middle position are two, and marks the average value of the two sound level values SP as the average value JP;
The habit monitoring module acquires sound intensity values SQ of a tester in the history data in the process of wearing the earphone last time, acquires total time occupied by different sound intensity values SQ, and marks the sound intensity value SQ with the longest total occupied time as a sound value SS;
the habit monitoring module obtains sound values SS in the process of wearing the earphone each time by a tester in the history data, obtains the average value of all the sound values SS, and marks the average value as a uniform value JS;
The habit monitoring module sends the average value JP, the sound value SS and the average value JS to the data analysis module.
Example 7
Based on any one of the above embodiments, the present embodiment is an automatic adjustment module, and the function of the automatic adjustment module is to process an audio signal on the earphone, and the specific process is as follows:
The automatic adjusting module adjusts the earphone speaker according to the tuning value TY, and enables the sound intensity value SQ=the tuning value TY;
The automatic adjusting module obtains all sounds around the earphone except for the audio played by the loudspeaker, marks the sounds as earphone noise, obtains the acoustic waveform of the earphone noise, marks the acoustic waveform as a positive waveform, generates acoustic waves with the phase opposite to that of the positive waveform, marks the acoustic waveform as a negative waveform, mixes the negative waveform in the earphone loudspeaker to play the audio, and adjusts the sound intensity of the negative waveform according to the preset sound intensity increasing rate until the sound-wind ratio SF is more than or equal to the sound-wind ratio threshold SFy.
Based on the above embodiments 1-7, the working principle of the present invention is as follows:
According to the earphone wind noise prevention test method and equipment based on audio signal processing, the wearing monitoring module is used for acquiring the intensity coefficient according to the actual situation that a tester wears an earphone, wherein the intensity coefficient comprises a sound intensity value and a wind intensity value, the data analysis module is used for acquiring a sound-wind ratio according to the intensity coefficient, the wind noise adjustment platform is used for generating a habit monitoring instruction according to the sound-wind ratio, the habit monitoring module is used for receiving the habit monitoring instruction and then acquiring the sound intensity coefficient according to historical data, the sound intensity coefficient comprises an average value, a sound value and an average value, the data analysis module is used for acquiring a sound adjustment value according to the sound intensity coefficient, the automatic adjustment module is used for carrying out audio signal processing on the earphone, adjusting the earphone loudspeaker according to the sound adjustment value and eliminating earphone noise around the loudspeaker; according to the earphone wind-prevention noise test method, firstly, the wearing condition of an earphone for testing the performance of the earphone is monitored, under a wind-prevention noise environment, an intensity coefficient is acquired by using the earphone to be tested, then data processing is carried out on the intensity coefficient, the wind-prevention noise effect of the earphone can be comprehensively measured according to the sound-wind ratio obtained by the intensity coefficient, the larger the sound-wind ratio is, the better the wind-prevention noise effect is, otherwise, the wind-prevention noise effect is represented to be poor, then data analysis is carried out on historical data, the sound intensity coefficient is obtained, the comfort degree of a tester wearing the earphone for playing the audio can be comprehensively measured according to the tone value obtained by the sound intensity coefficient, the earphone loudspeaker is adjusted by utilizing the tone value, and finally, the corresponding inverse waveform is generated according to the noise around the loudspeaker, and noise reduction and noise elimination are realized by utilizing the interference principle of the sound wave, so that the playing audio is clearer, and the automatic noise reduction of the earphone is realized; the earphone wind noise prevention test method can evaluate and adjust the wind noise prevention performance of the earphone, avoids subjectivity of manual hearing evaluation, improves objectivity of test results, eliminates influence of non-wind noise components on the test results, improves evaluation accuracy, and has the advantages of being strong in objectivity, high in accuracy, high in efficiency, strong in expandability and the like.
It should be further noted that, the above formulas are all formulas obtained by collecting a large amount of data and performing software simulation, and selecting a formula close to the true value, and coefficients in the formulas are set by those skilled in the art according to actual situations.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing is merely illustrative and explanatory of the application, as various modifications and additions may be made to the particular embodiments described, or in a similar manner, by those skilled in the art, without departing from the scope of the application or exceeding the scope of the application as defined by the claims.
Claims (4)
1. The earphone wind noise prevention testing method based on audio signal processing is characterized by comprising the following steps:
Step one: the wearing monitoring module acquires an intensity coefficient according to the actual situation that a tester wears the earphone, wherein the intensity coefficient comprises a sound intensity value SQ and a wind intensity value FQ, and sends the intensity coefficient to the data analysis module;
the specific process of acquiring the sound intensity value SQ is as follows:
acquiring the sound intensity of a speaker playing audio when a tester wears the earphone, and marking the sound intensity as a sound intensity value SQ;
The specific process of obtaining the wind intensity value FQ is as follows:
Marking the wearing front surface of the earphone as a broadcasting surface, marking the back surface of the earphone on the broadcasting surface as a wind noise surface, acquiring the wind speed at the wind noise surface, marking the wind speed as a wind speed value FS, acquiring the included angle between the wind direction at the wind noise surface and the wind noise surface, marking the included angle as a face angle value JM, carrying out quantization processing on the wind speed value FS and the face angle value JM, and carrying out quantization processing according to a formula Obtaining a wind intensity value FQ, wherein f1 and f2 are preset proportional coefficients corresponding to a set wind speed value FS and a face angle value JM respectively;
Step two: the data analysis module obtains the sound-wind ratio SF according to the intensity coefficient and sends the sound-wind ratio SF to the wind noise adjustment platform;
the specific process of obtaining the sound-wind ratio SF is as follows:
the sound intensity value SQ and the wind intensity value FQ are quantized and processed according to the formula Obtaining an acoustic-wind ratio SF, wherein sigma is a preset error adjustment factor, and q1 and q2 are preset proportional coefficients corresponding to a set sound intensity value SQ and a set wind intensity value FQ respectively;
sending the sound-wind ratio SF to a wind noise adjusting platform;
Step three: the wind noise adjusting platform generates habit monitoring instructions according to the sound-wind ratio SF and sends the habit monitoring instructions to the habit monitoring module;
step four: the habit monitoring module receives the habit monitoring instruction, acquires a sound intensity coefficient according to the historical data, wherein the sound intensity coefficient comprises an average value JP, a sound value SS and an average value JS, and sends the sound intensity coefficient to the data analysis module;
The specific process of acquiring the average value JP by the habit monitoring module is as follows:
After receiving habit monitoring instructions, acquiring an average value of sound intensity values SQ of a tester in the process of wearing the earphone each time in the history data, marking the average value as sound level values SP, sequencing all sound level values SP in a sequence from big to small, acquiring a sound level value list, acquiring sound level values SP positioned at a middle position in the sound level value list, marking only one sound level value SP at the middle position as an average value JP, and marking the average value of the two sound level values SP as the average value JP if the sound level values SP at the middle position are two;
The specific process of the habit monitoring module obtaining the sound value SS is as follows:
Acquiring sound intensity values SQ of a tester in the history data in the process of wearing the earphone last time, acquiring total time occupied by different sound intensity values SQ, and marking the sound intensity value SQ with the longest total occupied time as a sound value SS;
the specific process of the habit monitoring module obtaining the average value JS is as follows:
Acquiring an acoustic value SS of a tester in the history data in each earphone wearing process, acquiring an average value of all the acoustic values SS, and marking the average value as an average value JS;
Step five: the data analysis module obtains a tone value TY according to the sound intensity coefficient and sends the tone value TY to the automatic adjustment module;
The specific process of the data analysis module for obtaining the tone value TY is as follows:
Quantizing the average value JP, the sound value SS and the average value JS according to the formula Obtaining a tone value TY, wherein epsilon is a preset error adjustment factor, and t1, t2 and t3 are preset proportional coefficients corresponding to a set average value JP, an acoustic value SS and an average value JS respectively;
Step six: the automatic adjusting module processes the audio signal of the earphone, adjusts the loudspeaker of the earphone according to the tone value TY, and eliminates the noise of the earphone around the loudspeaker.
2. The method for testing the wind noise prevention of the earphone based on the audio signal processing according to claim 1, wherein the specific process of generating the habit monitoring instruction by the wind noise adjusting platform is as follows:
Comparing the sound-wind ratio SF with a preset sound-wind ratio threshold SFy:
And if the sound-wind ratio SF is smaller than the sound-wind ratio threshold SFy, generating a habit monitoring instruction, and sending the habit monitoring instruction to the habit monitoring module.
3. The method for testing the wind noise prevention of the earphone based on the audio signal processing according to claim 1, wherein the specific process of the automatic adjusting module for processing the audio signal of the earphone is as follows:
Adjusting the earphone speaker according to the tuning value TY, and enabling the sound intensity value sq=tuning value TY;
All sounds around the earphone except for the audio played by the loudspeaker are acquired and marked as earphone noise, the acoustic wave form of the earphone noise is acquired and marked as a positive wave form, the acoustic wave with the phase opposite to that of the positive wave form is generated and marked as a negative wave form, the negative wave form is mixed in the earphone loudspeaker to play the audio, and the sound intensity of the negative wave form is regulated according to the preset sound intensity increasing rate until the sound-wind ratio SF is more than or equal to the sound-wind ratio threshold SFy.
4. An earphone wind noise prevention test device based on audio signal processing, which is used for implementing the earphone wind noise prevention test method based on audio signal processing according to any one of claims 1-3, and is characterized in that the earphone wind noise prevention test device comprises:
the wearing monitoring module is used for acquiring an intensity coefficient according to the actual situation that the tester wears the earphone and sending the intensity coefficient to the data analysis module; wherein the intensity coefficient comprises a sound intensity value SQ and a wind intensity value FQ;
The data analysis module is used for obtaining the sound-wind ratio SF according to the intensity coefficient, sending the sound-wind ratio SF to the wind noise adjustment platform, obtaining the tone value TY according to the intensity coefficient, and sending the tone value TY to the automatic adjustment module;
The wind noise adjusting platform is used for generating habit monitoring instructions according to the sound-wind ratio SF and sending the habit monitoring instructions to the habit monitoring module;
The habit monitoring module is used for acquiring the sound intensity coefficient according to the historical data after receiving the habit monitoring instruction and sending the sound intensity coefficient to the data analysis module; wherein, the sound intensity coefficient comprises an average value JP, a sound value SS and an average value JS;
and the automatic adjusting module is used for processing the audio signal of the earphone, adjusting the loudspeaker of the earphone according to the tone value TY and eliminating the noise of the earphone around the loudspeaker.
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