CN114666702A - Earphone control method and device, noise reduction earphone and storage medium - Google Patents

Abstract

The present disclosure relates to an earphone control method, device, noise reduction earphone and storage medium. The headset control method includes: acquiring a test audio signal and controlling the speaker to play the test audio signal; acquiring a feedback microphone time-domain signal generated based on the test audio signal through a feedback microphone; acquiring a speaker time-domain signal generated based on the test audio signal through an electrical signal acquisition module signal; according to the correlation between the feedback microphone time domain signal and the speaker time domain signal, determine the first frequency response corresponding to the secondary path; according to the preset frequency response set and the corresponding relationship of filter parameters, determine the corresponding first frequency response The filter parameters are used as the target filter parameters. Using the method in the present disclosure, it is possible to provide a variety of filter parameter setting methods, and accurately select the appropriate target filter parameters, so as to improve the noise reduction adaptability of the noise reduction headphones to the ear canal conditions of different users, and provide users with reduced noise reduction. Personalized adaptation experience of noise headphones.

Description

A headphone control method, device, noise reduction headphone and storage medium

technical field

The present disclosure relates to the field of signal processing, and in particular, to a headphone control method, a device, a noise reduction headphone, and a storage medium.

Background technique

Active Noise Cancellation (ANC) technology is a technology that achieves sound wave cancellation by interfering with the noise source by generating an acoustic signal whose phase is opposite to that of the noise source and has the same or similar energy. Active noise reduction technology is widely used in headphones, vehicle systems, smart homes and other fields.

With the continuous development of active noise reduction technology, active noise reduction headphones have gradually become popular, and active noise reduction headphones have also driven the rapid development of active noise reduction technology. With the rapid expansion of the user scale of active noise cancelling headphones, how to effectively adapt to different user groups is an urgent problem to be solved for active noise cancelling headphones.

SUMMARY OF THE INVENTION

In order to overcome the problems existing in the related art, the present disclosure provides a headphone control method, a device, a noise reduction headphone and a storage medium.

According to a first aspect of the embodiments of the present disclosure, there is provided a headphone control method, which is applied to a headphone, the headphone includes a speaker, a feedback microphone, and a controller, the method is executed by the controller, and the controller at least includes An electrical signal acquisition module, the method includes:

Obtain the test audio signal and control the speaker to play the test audio signal;

A feedback microphone time-domain signal generated based on the test audio signal is acquired through the feedback microphone; wherein, the feedback microphone time-domain signal refers to the time-domain representation of the sound wave signal formed by the test audio signal entering the ear canal;

The speaker time-domain signal generated based on the test audio signal is acquired by the electrical signal acquisition module; wherein, the speaker time-domain signal refers to the electrical signal acquisition module when the test audio signal is played by the speaker The time domain representation of the recovered electrical signal;

According to the correlation between the feedback microphone time domain signal and the speaker time domain signal, a first frequency response corresponding to a secondary path is determined, wherein the secondary path refers to the test audio signal from the speaker the propagation path to the feedback microphone;

According to the preset frequency response set and the corresponding relationship between the filter parameters, the filter parameters corresponding to the first frequency response are determined as the target filter parameters; wherein, the filter parameters include active noise reduction filter parameters and/or Sound equalization filter parameters.

In an exemplary embodiment, the determining the first frequency response corresponding to the secondary path according to the correlation between the feedback microphone time domain signal and the speaker time domain signal includes:

performing time-frequency conversion processing on the feedback microphone time-domain signal to obtain a feedback microphone frequency-domain signal;

performing time-frequency conversion processing on the loudspeaker time-domain signal to obtain a loudspeaker frequency-domain signal;

Determine a first frequency response corresponding to the secondary path according to the feedback microphone frequency domain signal and the speaker frequency domain signal and a preset transfer function, wherein the transfer function is used to represent the feedback microphone frequency domain signal and the speaker frequency domain signal correlation.

In an exemplary embodiment, the determining the filter parameter corresponding to the first frequency response as the target filter parameter according to the preset frequency response set and the corresponding relationship between the filter parameters includes:

The frequency response set includes a plurality of preset response parameters, and a preset response parameter closest to the first frequency response among the plurality of preset response parameters is selected as the target frequency response;

A filter parameter corresponding to the target frequency response is determined as a target filter parameter.

In an exemplary embodiment, the selecting the preset response parameter closest to the first frequency response among the plurality of preset response parameters as the target frequency response includes:

respectively calculating the perceptual similarity between the first frequency response and each of the preset response parameters to obtain a plurality of the perceptual similarity;

A preset response parameter corresponding to the perceptual similarity with the smallest value among the plurality of perceptual similarities is selected as the target frequency response.

In an exemplary embodiment, the calculating, respectively, the perceptual similarity between the first frequency response and each of the preset response parameters to obtain a plurality of the perceptual similarity, including:

Select frequency values corresponding to multiple spectral lines in the frequency spectrum of the feedback microphone frequency domain signal and the speaker frequency domain signal as frequency parameters;

The plurality of frequency parameters are arranged from small to large, and a frequency interval is formed between two adjacent frequency parameters;

For each frequency point in each of the frequency intervals, calculate the absolute value of the difference between the preset response parameter corresponding to each frequency point and the first frequency response as the first parameter;

summing the first parameters corresponding to each frequency point in the frequency interval to obtain a second parameter;

Weighted summation is performed on the second parameters of a plurality of the frequency intervals to obtain the perceptual similarity between a single preset response parameter and the first frequency response;

The perceptual similarity between each of the preset response parameters and the first frequency response is calculated separately to obtain a plurality of the perceptual similarity.

In an exemplary embodiment, the active noise reduction filter parameters include feedforward filter parameters and feedback filter parameters, and the target filter parameters include one of the following methods:

the feedforward filter parameters, the feedback filter parameters and the sound effect equalization filter parameters;

the feedforward filter parameters and the sound effect equalization filter parameters;

the feedforward filter parameters and the feedback filter parameters;

the feedforward filter parameters;

the feedback filter parameters.

In an exemplary embodiment, the test audio signal includes a wearing sound signal or a playback source signal.

According to a second aspect of the embodiments of the present disclosure, there is provided an earphone control apparatus, which is applied to an earphone, the earphone includes a speaker, a feedback microphone and a controller, the method is executed by the controller, and the controller at least includes An electrical signal acquisition module, the device includes:

a playback module, configured to obtain a test audio signal and control the speaker to play the test audio signal;

The first acquisition module is configured to acquire, through the feedback microphone, a feedback microphone time-domain signal generated based on the test audio signal; wherein, the feedback microphone time-domain signal refers to a signal formed by the test audio signal entering the ear canal. The time domain representation of the acoustic signal;

The second acquisition module is configured to acquire the speaker time domain signal generated based on the test audio signal through the electrical signal acquisition module; wherein the speaker time domain signal refers to the test audio signal being played by the speaker time domain representation of the electrical signal recovered by the electrical signal acquisition module;

The first determination module is configured to determine a first frequency response corresponding to the secondary path according to the correlation between the feedback microphone time-domain signal and the speaker time-domain signal, wherein the secondary path refers to the the propagation path of the test audio signal from the speaker to the feedback microphone;

The second determination module is configured to determine the filter parameter corresponding to the first frequency response as the target filter parameter according to the preset frequency response set and the corresponding relationship of the filter parameter; wherein, the filter parameter includes an active filter parameter. Noise reduction filter parameters and/or sound equalization filter parameters.

In an exemplary embodiment, the first determining module is further configured to:

performing time-frequency conversion processing on the feedback microphone time-domain signal to obtain a feedback microphone frequency-domain signal;

performing time-frequency conversion processing on the loudspeaker time-domain signal to obtain a loudspeaker frequency-domain signal;

Determine a first frequency response corresponding to the secondary path according to the feedback microphone frequency domain signal and the speaker frequency domain signal and a preset transfer function, wherein the transfer function is used to represent the feedback microphone frequency domain signal and the speaker frequency domain signal correlation.

In an exemplary embodiment, the second determining module is further configured to:

The frequency response set includes a plurality of preset response parameters, and a preset response parameter closest to the first frequency response among the plurality of preset response parameters is selected as the target frequency response;

A filter parameter corresponding to the target frequency response is determined as a target filter parameter.

In an exemplary embodiment, the second determining module is further configured to:

respectively calculating the perceptual similarity between the first frequency response and each of the preset response parameters to obtain a plurality of the perceptual similarity;

A preset response parameter corresponding to the perceptual similarity with the smallest value among the plurality of perceptual similarities is selected as the target frequency response.

In an exemplary embodiment, the second determining module is further configured to:

Select frequency values corresponding to multiple spectral lines in the frequency spectrum of the feedback microphone frequency domain signal and the speaker frequency domain signal as frequency parameters;

The plurality of frequency parameters are arranged from small to large, and a frequency interval is formed between two adjacent frequency parameters;

For each frequency point in each of the frequency intervals, calculate the absolute value of the difference between the preset response parameter corresponding to each frequency point and the first frequency response as the first parameter;

summing the first parameters corresponding to each frequency point in the frequency interval to obtain a second parameter;

Weighted summation is performed on the second parameters of a plurality of the frequency intervals to obtain the perceptual similarity between a single preset response parameter and the first frequency response;

The perceptual similarity between each of the preset response parameters and the first frequency response is calculated separately to obtain a plurality of the perceptual similarity.

In an exemplary embodiment, the active noise reduction filter parameters include feedforward filter parameters and feedback filter parameters, and the target filter parameters include one of the following methods:

the feedforward filter parameters, the feedback filter parameters and the sound effect equalization filter parameters;

the feedforward filter parameters and the sound effect equalization filter parameters;

the feedforward filter parameters and the feedback filter parameters;

the feedforward filter parameters;

the feedback filter parameters.

In an exemplary embodiment, the test audio signal includes a wearing sound signal or a playback source signal.

According to a third aspect of the embodiments of the present disclosure, a noise reduction earphone is provided, the earphone includes a housing and a feedforward microphone, a feedback microphone, a speaker, and a controller disposed on the housing:

The feedforward microphone is used to collect the sound wave signal in the surrounding environment of the earphone;

The feedback microphone is used to collect the sound wave signal in the ear canal;

The loudspeaker is used for playing sound wave signal;

the controller is respectively connected in communication with the feedforward microphone, the feedback microphone and the speaker, the controller includes a processor and a memory, the memory stores computer program instructions executable by the processor, The processor is configured to invoke the computer program instructions to perform the method according to the first aspect of the embodiments of the present disclosure.

According to a fourth aspect of the embodiments of the present disclosure, there is provided a non-transitory computer-readable storage medium on which computer program instructions are stored, wherein when the computer program instructions are called by a processor, the first The method described in the aspect.

The above method of the present disclosure has the following beneficial effects: using the earphone control method in the present disclosure, it is possible to provide a variety of filter parameter setting methods, and accurately select the appropriate filter parameters, so as to improve the noise reduction headphones for different users. The noise reduction adaptability of the ear canal situation provides users with a personalized adaptation experience of noise reduction headphones.

It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure.

Description of drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description serve to explain the principles of the invention.

1 is a schematic diagram of a noise reduction principle of a noise reduction earphone according to an exemplary embodiment;

FIG. 2 is a flowchart of a method for controlling an earphone according to an exemplary embodiment;

FIG. 3 is a flowchart of a method for controlling an earphone according to an exemplary embodiment;

FIG. 4 is a flowchart of a method for controlling an earphone according to an exemplary embodiment;

FIG. 5 is a block diagram of an apparatus for controlling an earphone according to an exemplary embodiment;

Fig. 6 is a block diagram of a noise-cancelling earphone according to an exemplary embodiment.

Detailed ways

Exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. Where the following description refers to the drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the illustrative examples below are not intended to represent all implementations consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with some aspects of the invention as recited in the appended claims.

FIG. 1 is a schematic diagram of the noise reduction principle of a noise reduction earphone according to an exemplary embodiment. As shown in FIG. 1 , the acoustic components mainly include: a feed-forward (Feed-Forward, FF) microphone 1, a feedback (Feed-Forward) -Back, FB) Microphone 2, Speaker 3. The feedforward microphone 1 is placed outside the auricle after wearing to monitor the intensity of ambient noise; the feedback microphone 2 is placed inside the ear canal after wearing, near the speaker, to detect residual noise near the ear canal in real time. Feedforward microphone 1 and speaker 3 form feedforward active noise reduction path 5, and the signal of feedforward active noise reduction path 5 passes through feedforward filter 6 to achieve feedforward active noise reduction; feedback microphone 2 and speaker 3 form feedback active noise reduction path 4 , the feedback active noise reduction channel 4 signal passes through the feedback filter 7 to realize the feedback active noise reduction. The playback source of the headphones (that is, the content source played by the headphones) can also achieve low-frequency energy compensation through sound effect equalizer (EQ). EQ filter 8 is an optional module. Some noise-cancelling headphones have EQ filter 8, and some reduce Noisy headphones have no EQ filter8.

Each noise reduction channel (which can include feedforward active noise reduction channel 5 and feedback active noise reduction channel 4) is designed based on active noise reduction hardware filter (ANC chip), due to a series of chip costs, headphone power consumption, etc. Factors, commercial-grade ANC chips all use a fixed filter configuration scheme, that is, based on the acoustic transmission path measured by a certain ear canal model, calculate the corresponding ANC filter coefficients, and then burn the parameters into the ANC chip for curing, and in the later stage During use, the ANC filter coefficients will not change.

However, a single ear canal model cannot adapt to all users. In order to adapt to more users, some chips have the function of supporting multiple sets of filter coefficients, that is, multiple sets of ANCs modeled by multiple ear canal models are pre-programmed in the chip. Filter coefficients, switch to the corresponding coefficients according to user needs. However, how to effectively select the optimal ANC filter coefficient is an urgent problem to be solved in the current application of noise-cancelling headphones. In addition, when the noise-cancelling headphones also provide an EQ filter built on a chip, the EQ filter is similar to the ANC filter, and the EQ filter coefficients are modeled based on an ear canal model, which also has the problem of user adaptability. .

In an exemplary embodiment of the present disclosure, an earphone control method is provided, which is applied to an earphone including a speaker, a feedback microphone and a controller. The earphone control method is performed by a controller in the earphone, and the controller at least includes an electrical signal acquisition module, and the earphone Including in-ear headphones, semi-in-ear headphones, headphones, etc. The controller also includes a playback module, and the playback module includes a playback control circuit and playback control software running on the playback control circuit. Fig. 2 is a flowchart of a method for controlling an earphone according to an exemplary embodiment. As shown in Fig. 2, the method for controlling an earphone includes the following steps:

Step S201, acquiring the test audio signal and controlling the speaker to play the test audio signal;

Step S202, obtaining the feedback microphone time-domain signal generated based on the test audio signal through the feedback microphone; wherein, the feedback microphone time-domain signal refers to the time-domain representation of the sound wave signal formed by the test audio signal entering the ear canal;

Step S203, obtaining the speaker time domain signal generated based on the test audio signal through the electrical signal acquisition module; wherein the speaker time domain signal refers to the time domain representation of the electrical signal retrieved by the electrical signal acquisition module when the test audio signal is played by the speaker ;

Step S204, determining the first frequency response corresponding to the secondary path according to the correlation between the feedback microphone time domain signal and the speaker time domain signal, wherein the secondary path refers to the propagation path of the test audio signal from the speaker to the feedback microphone;

Step S205, according to the preset frequency response set and the corresponding relationship of the filter parameters, determine the filter parameters corresponding to the first frequency response as the target filter parameters; wherein, the filter parameters include active noise reduction filter parameters and/or sound effects Equalization filter parameters.

In step S201, the earphone control method provided by the present disclosure sets the filter parameters according to the ear canal, so when the user wears the earphone, the test audio signal is acquired and the speaker is controlled to play the test audio signal. The controller in the earphone also includes a playback module, and the playback module includes a playback control circuit and playback control software running on the playback control circuit. Obtain the test audio signal through the playback module in the headset and control the speaker to play the test audio signal. The test audio signal can use one of the wearing prompt tone signal and the playback source signal, or can use the wearing prompt tone signal and the playing source signal at the same time. In this step, the acquisition and playback of the test audio signal is actively triggered after the user wears the headset. No user operation is required, which ensures the user experience. Of course, it can be understood that the test audio signal may also be the user actively controlling the headset to play it through touch, click, or voice control. For example, when multiple members of a family share an earphone, each member can actively control the earphone to play a test audio signal before using the earphone, so as to adjust the filter parameters suitable for the member currently using the earphone according to the test result.

The wearing prompt sound is the preset audio signal in the playback module of the headset. When the user wears the headset for the first time, or when the wearer actively controls the headset to test, the wearing prompt sound will be played to complete the filter parameters of the headset according to the ear canal. settings, and then play the audio information that the user wants to listen to. The playback source signal is the playback source audio used when the user wears the headset for the first time, or when the wearer actively controls the headset for testing. Since the noise-cancelling headset is mainly aimed at noise sources below 1000Hz, the daily playback source can provide sufficient frequency components below 1000Hz , so the playback source signal depends on the playback resource selected by the user, which is random. It should be noted that, the setting of the filter parameters for the headphones according to the ear canal can be completed only when the user wears the headphones and uses the audio device to play the audio signals.

In step S202 and step S203, when the test audio signal is a valid audio signal, the feedback microphone time domain signal generated based on the test audio signal is obtained through the feedback microphone, that is, the time domain of the sound wave signal formed by the test audio signal entering the ear canal is obtained. express. The speaker time domain signal generated based on the test audio signal is acquired by the electrical signal acquisition module in the earphone, that is, the time domain representation of the electrical signal collected by the electrical signal acquisition module when the test audio signal is played by the speaker of the earphone. The sampling duration of the feedback microphone time-domain signal and speaker time-domain signal can be set according to actual needs. When the test audio signal is the wearing tone, the sampling duration is the wearing tone, and when the test audio signal is the playback source signal, the sampling duration You can set it according to the playback source signal. The signal sampling rate of the time domain signal is not lower than 16000Hz.

In step S204, the propagation path of the test audio signal in the earphone includes a primary propagation path and a secondary propagation path, the primary propagation path is the propagation path of the test audio signal from the feedforward microphone to the feedback microphone, and the secondary path is the test audio signal The propagation path from the speaker to the feedback microphone. A first frequency response corresponding to the secondary path is determined from the feedback microphone time domain signal and the speaker time domain signal. The first frequency response may reflect the correlation between the feedback microphone frequency domain signal and the speaker frequency domain signal. For example, after converting the time domain signal into a frequency domain signal, the first frequency response is determined according to the correlation between the frequency domain signals.

In step S205, the preset corresponding relationship between the set of frequency responses and the filter parameters is pre-stored in the earphone, and when the preset set of frequency responses and the corresponding relationship between the filter parameters include the first frequency response, the preset frequency response The corresponding relationship between the set and the filter parameter, determine the filter parameter corresponding to the first frequency response as the target filter parameter; when the preset frequency response set and the corresponding relationship between the filter parameter does not include the first frequency response, it can be obtained from the preset frequency response. It is assumed that the frequency response closest to the first response frequency is selected from the frequency response set, and the filter parameter corresponding to the closest frequency response is used as the target filter parameter.

The filter parameters include active noise reduction filter parameters and/or sound effect equalization filter parameters, that is, the target filter parameters may include only active noise reduction filter parameters, only sound effect equalization filter parameters, or both active noise reduction filter parameters. Noise filter parameters and sound equalization filter parameters. Whether or not the EQ filter parameter is included depends on whether the EQ filter is included in the headset. The active noise reduction filter parameters may include only the feedforward filter parameters, may only include the feedback filter parameters, or may include both the feedforward filter parameters and the feedback filter parameters. Therefore, the target filter parameters include one of the following:

Feedforward filter parameters, feedback filter parameters and sound effect equalization filter parameters;

Feedforward filter parameters and sound effect equalization filter parameters;

Feedforward filter parameters and feedback filter parameters;

Feedforward filter parameters;

Feedback filter parameters.

In an exemplary embodiment of the present disclosure, the speaker is controlled to play the test audio signal, and based on the test audio signal, the feedback microphone time-domain signal and the speaker time-domain signal are respectively obtained, that is, the time-domain representation of the sound wave signal formed in the ear canal and the The time domain representation of the electrical signal recovered by the electrical signal acquisition module, according to the feedback microphone time domain signal and speaker time domain signal, to determine the first frequency response corresponding to the secondary path, according to the preset frequency response set corresponding to the filter parameters relationship, the filter parameter corresponding to the first frequency response is determined as the target filter parameter. Since the preset frequency response set and the corresponding relationship of filter parameters include multiple sets of corresponding relationships, and the filter parameters include filter coefficients in multiple combinations, the method in the present disclosure can provide multiple filter parameter setting methods, and Accurately select the appropriate filter parameters to improve the noise reduction adaptability of noise-cancelling headphones to the ear canal conditions of different users, and provide users with a personalized earphone adaptation experience.

In an exemplary embodiment of the present disclosure, an earphone control method is provided, which is applied to an earphone including a speaker, a feedback microphone and a controller. The earphone control method is performed by a controller in the earphone, and the controller at least includes an electrical signal acquisition module, and the earphone Including in-ear headphones, semi-in-ear headphones, headphones, etc. The controller also includes a playback module, and the playback module includes a playback control circuit and playback control software running on the playback control circuit. FIG. 3 is a flowchart of a method for controlling an earphone according to an exemplary embodiment. As shown in FIG. 3 , the method for controlling an earphone includes the following steps:

Step S301, acquiring the test audio signal and controlling the speaker to play the test audio signal;

Step S302, obtaining the feedback microphone time-domain signal generated based on the test audio signal through the feedback microphone; wherein, the feedback microphone time-domain signal refers to the time-domain representation of the sound wave signal formed by the test audio signal entering the ear canal;

Step S303, obtaining the speaker time domain signal generated based on the test audio signal through the electrical signal acquisition module; wherein the speaker time domain signal refers to the time domain representation of the electrical signal recovered by the electrical signal acquisition module when the test audio signal is played by the speaker ;

Step S304, performing time-frequency conversion processing on the feedback microphone time-domain signal to obtain the feedback microphone frequency-domain signal;

Step S305, performing time-frequency conversion processing on the speaker time domain signal to obtain the speaker frequency domain signal;

Step S306: Determine a first frequency response corresponding to the secondary path according to the feedback microphone frequency domain signal and the speaker frequency domain signal and a preset transfer function, where the transfer function is used to represent the feedback microphone frequency domain signal and the speaker frequency domain signal relevance;

Step S307, according to the preset frequency response set and the corresponding relationship of the filter parameters, determine the filter parameters corresponding to the first frequency response as the target filter parameters; wherein, the filter parameters include active noise reduction filter parameters and/or sound effects Equalization filter parameters.

The contents of steps S301 to S303 are the same as those of steps S201 to S203 , and the contents of step S307 are the same as those of step S205 , which will not be repeated here. There is no time sequence between steps S302 and S303, and there is no time sequence between steps S304 and S305. Steps S304 and S305 are performed after steps S302 and S303.

In step S304 and step S305, after acquiring the feedback microphone time domain signal and the speaker time domain signal, by performing frame-by-frame windowing processing on the speaker time domain signal and the feedback microphone time domain signal, the microphone time domain signal and the speaker time domain signal can be respectively The time domain signal is divided into multi-frame signals, and in the subsequent correlation calculation, the frame-by-frame calculation is performed in units of each frame.

For example, after frame-by-frame windowing processing, it is divided into N windows, and the time-domain signal (which may be a speaker time-domain signal or a feedback microphone time-domain signal) has a total of N frames. In order to prevent block effect and facilitate frequency domain calculation, Δ overlap is used between frames, that is, the tail data of the previous frame is the same as the header data of the next frame, Δ is the overlap ratio, Δ∈(0,1). Δ varies based on other platform factors such as the signal sample rate, and is typically 0.5. The feedback microphone time domain signal is denoted as f _y (n, t), and the speaker time domain signal is denoted as f _x (n, t), where n represents the frame number, that is, the nth frame of the N frame time domain signal, and t represents the th Sampling time t in n frames.

Perform Short-Time Fourier Transform (STFT) on the speaker time domain signal and the feedback microphone time domain signal to obtain the corresponding frequency domain signal. The length of the short-time Fourier transform can be selected according to actual needs. When it is large, the more frequency points in the spectrum after Fourier transform, the more accurate the analysis of the sound signal in the frequency domain, and the transform length is not less than 512 points. The speaker frequency domain signal is denoted as F _x (n, k), and the feedback microphone frequency domain signal is denoted as F _y (n, k), where k represents the kth spectral line of the nth frame spectrum.

In step S306, the preset transfer function is the calculation rule of the correlation between the feedback microphone frequency domain signal and the speaker frequency domain signal, according to the feedback microphone frequency domain signal f _y (n, k) and the speaker frequency domain signal F _x (n, k), three transfer functions are obtained, denoted as TF _α (k), TF _β (k) and TF _γ (k), respectively, obtained by the following formulas:

Among them, N represents the total number of frames, r(…) represents the operation to find the real part of the complex number, j(…) represents the operation to find the imaginary part of the complex number, and k represents the kth spectral line of the nth frame spectrum.

则：According to the three transfer functions, the first frequency response corresponding to the secondary path is determined, and the first frequency response is recorded as

but:

In an exemplary embodiment of the present disclosure, a headphone control method is provided, which is applied to a headphone including a speaker, a feedback microphone and a controller, the headphone control method is performed by a controller in the headphone, and the controller at least includes an electrical signal acquisition analog image, The earphones include in-ear earphones, semi-in-ear earphones, headphone and the like. The controller also includes a playback module, and the playback module includes a playback control circuit and playback control software running on the playback control circuit. FIG. 4 is a flowchart of a method for controlling an earphone according to an exemplary embodiment. As shown in FIG. 4 , the method for controlling an earphone includes the following steps:

Step S401, acquiring the test audio signal and controlling the speaker to play the test audio signal;

Step S402, obtaining a feedback microphone time-domain signal generated based on the test audio signal through the feedback microphone; wherein, the feedback microphone time-domain signal refers to the time-domain representation of the sound wave signal formed by the test audio signal entering the ear canal;

Step S403, acquiring the speaker time domain signal generated based on the test audio signal through the electrical signal acquisition module; wherein the speaker time domain signal refers to the time domain representation of the electrical signal recovered by the electrical signal acquisition module when the test audio signal is played by the speaker ;

Step S404, performing time-frequency conversion processing on the feedback microphone time-domain signal to obtain the feedback microphone frequency-domain signal;

Step S405, performing time-frequency conversion processing on the speaker time domain signal to obtain the speaker frequency domain signal;

Step S406: Determine a first frequency response corresponding to the secondary path according to the feedback microphone frequency domain signal and the speaker frequency domain signal and a preset transfer function, wherein the transfer function is used to represent the feedback microphone frequency domain signal and the speaker frequency domain signal relevance;

Step S407, the frequency response set includes a plurality of preset response parameters, respectively calculates the perceptual similarity between the first frequency response and each preset response parameter, and obtains multiple perceptual similarities;

Step S408, selecting the preset response parameter corresponding to the perceptual similarity with the smallest value among the multiple perceptual similarities as the target frequency response;

Step S409, according to the preset frequency response set and the corresponding relationship of the filter parameters, determine the filter parameters corresponding to the target frequency response as the target filter parameters; wherein, the filter parameters include active noise reduction filter parameters and/or Sound equalization filter parameters.

The contents of steps S401 to S406 are the same as those of steps S301 to S306, and are not repeated here.

In step S407, the set of frequency responses is a plurality of preset frequency responses pre-stored in the active noise reduction chip of the earphone, the number of the preset frequency responses is represented by M, and the first frequency response and each preset response are calculated respectively. Perceptual similarity between parameters to obtain multiple perceptual similarities.

In one embodiment, the calculation method of the perceptual similarity includes the following process:

1. Select frequency values corresponding to multiple spectral lines in the frequency spectrum of the feedback microphone frequency domain signal and the speaker frequency domain signal as frequency parameters.

The corresponding frequency domain signal is obtained by performing short-time Fourier transform on the loudspeaker time domain signal and the feedback microphone time domain signal, the loudspeaker frequency domain signal is denoted as F _x (n, k), and the feedback microphone frequency domain signal is denoted as F _y ( n, k), where k represents the kth spectral line of the nth frame spectrum. The length of the short-time Fourier transform leads to a different total number of spectral lines in a single frame, and the corresponding relationship between each spectral line and the physical frequency is also different. According to the main effective frequency band of active noise reduction and energy compensation, that is, the 50-2000Hz frequency band, select multiple spectral lines from the main effective frequency band. The choice of spectral lines can be set according to actual needs, such as 50Hz, 500Hz, 1000Hz, 2000Hz. Spectral line, select the frequency values corresponding to multiple spectral lines in the frequency spectrum of the feedback microphone frequency domain signal and the speaker frequency domain signal as frequency parameters, which are respectively denoted as k ₀ , k ₁ , k ₂ , and k ₃ .

In an example, if the spectrum obtained after Fourier transform contains exactly four spectral lines of 50Hz, 500Hz, 1000Hz, and 2000Hz, then k ₀ =50Hz, k ₁ =500Hz, k ₂ =1000Hz directly , k ₃ =2000Hz.

In another example, if the spectrum obtained after Fourier transform does not contain the four spectral lines of 50Hz, 500Hz, 1000Hz, and 2000Hz, select the frequency value corresponding to the frequency point closest to the four frequency values in the spectrum as specific numerical values of k ₀ , k ₁ , k ₂ , and k ₃ . For example, k ₀ =49 Hz, k ₁ =450 Hz, k ₂ =1005 Hz, k ₃ =2100 Hz.

2. Multiple frequency parameters are arranged from small to large, and a frequency interval is formed between two adjacent frequency parameters.

Multiple frequency parameters are arranged from small to large, namely k ₀ , k ₁ , k ₂ , k ₃ , and multiple frequency intervals are formed between two adjacent frequency parameters, namely frequency interval k ₀ ～ k ₁ , frequency interval k ₁ to k ₂ , frequency interval k ₂ to k ₃ .

3. For each frequency point in each frequency interval, calculate the absolute value of the difference between the preset response parameter corresponding to each frequency point and the first frequency response as the first parameter.

For each frequency point in each frequency interval, that is, the kth frequency point, the corresponding preset response parameter is denoted as S _m (k), where the subscript m∈(1, M), k represents the frequency point, indicating One of the M preset response parameters, for each frequency point in each frequency interval, the absolute value of the difference between the preset response parameter corresponding to each frequency point and the first frequency response is calculated as the first parameter, then The first parameter is:

4. Summing the first parameters corresponding to each frequency point in the frequency interval to obtain the second parameter.

The first parameter corresponding to each frequency point in the frequency interval is summed to obtain the second parameter, then the second parameters corresponding to the three frequency intervals are:

5. Perform a weighted summation on the second parameters in multiple frequency intervals to obtain the perceptual similarity between the single preset response parameter and the first frequency response.

Perform weighted summation on the second parameters of multiple frequency intervals, and record the weighting coefficients corresponding to the three second parameters as λ, μ, and ν. The weighting coefficients can be set according to actual needs, but they are all values not less than 0. , for example, let λ=2, μ=1, and ν=0.1. After the weighted summation of the second parameters of multiple frequency intervals, the perceptual similarity between a single preset response parameter and the first frequency response is obtained, and the perceptual similarity is denoted as corr _m , then:

为第一频率响应，S_m(k)为预设响应参数，m表示M个预设响应参数中的一个，k₀、k₁、k₂、k₃为频率参数，分别为从反馈麦克风频域信号和扬声器频域信号的频谱中选取的多个谱线对应的频率值，λ、μ、ν为加权系数。in,

is the first frequency response, S _m (k) is a preset response parameter, m represents one of the M preset response parameters, k ₀ , k ₁ , k ₂ , and k ₃ are frequency parameters, which are respectively the frequency from the feedback microphone. The frequency values corresponding to multiple spectral lines selected in the frequency spectrum of the domain signal and the speaker frequency domain signal, and λ, μ, and ν are weighting coefficients.

6. Calculate the perceptual similarity between each preset response parameter and the first frequency response separately to obtain multiple perceptual similarities.

The perceptual similarity between each preset response parameter in the preset frequency response set and the first frequency response is calculated separately to obtain multiple perceptual similarities.

In step S408, the preset response parameter corresponding to the perceptual similarity with the smallest value among the multiple perceptual similarities is selected as the target frequency response, and the target frequency response is recorded as opt, then

In step S409, filter parameters corresponding to the target frequency response are used as target filter parameters, and the filter parameters include active noise reduction filter parameters and/or sound effect equalization filter parameters. The target frequency response is denoted as S _m (k), and its mapping relationship with the filter coefficients includes the following five types: S _m (k)→{FF _m , FB _m , EQ _m }, S _m (k)→{FF _m , EQ _m }, S _m (k)→{FF _m , FB _m }, S _m (k)→{FF _m }, S _m (k)→{EQ _m }, where in S _m (k) m represents the mth of the M preset frequency responses, and → represents the mapping relationship. For example, S ₁ (k) corresponds to {FF ₁ , FB ₁ , EQ ₁ }.

FF _m represents the m-th group of coefficients of the active noise reduction feedforward filter, FB _m represents the m-th group of coefficients of the active noise reduction feedback filter, and EQ _m represents the m-th group of coefficients of the EQ filter. The above five mapping relationships represent five filter parameter combination schemes: {FF _m , FB _m , EQ _m } represents feedforward active noise reduction filter parameters, feedback active noise reduction filter parameters, and EQ filter parameters; {FF _m , EQ _m } represents feedforward active noise reduction filter parameters, EQ filter parameters. Since the feedback active noise reduction filter is not sensitive to ear canal parameters, the feedback active noise reduction filter parameters may not be included. {FF _m , FB _m } represents the parameters of the feedforward active noise reduction filter and the feedback active noise reduction filter parameters. This scheme is used when the audio device does not provide an EQ filter or does not require parameter setting for it. {FF _m } indicates that only feedforward ANC filter parameters are included; {EQ _m } includes only EQ filter parameters, which is a special case and applies to headphones without ANC filters but with EQ filters. The choice of the above five filter parameter combination schemes depends on the type of chip in the headset and the product positioning of the headset.

In an exemplary embodiment of the present disclosure, the speaker is controlled to play a test audio signal, and based on the test audio signal, the feedback microphone time-domain signal and speaker time-domain signal are obtained respectively, that is, the time-domain representation of the sound wave signal formed in the ear canal and the The time domain representation of the electrical signal retrieved by the electrical signal acquisition module, by testing the audio signal generated according to the feedback microphone time domain signal and speaker time domain signal, to determine the first frequency response corresponding to the secondary path, according to the preset frequency response The correspondence between the set and the filter parameters determines the preset response parameter closest to the first frequency response in the preset response set as the target response parameter, and the filter parameter corresponding to the target response parameter is the target filter parameter. Therefore, using the method in the present disclosure, it is possible to provide a variety of filter parameter setting methods, and accurately select the appropriate filter parameters, so as to improve the noise reduction adaptability of the noise reduction headphones to the ear canal conditions of different users, and provide users with headphones personalized adaptation experience.

In an exemplary embodiment of the present disclosure, an earphone control device is provided, which is applied to an earphone. The earphone includes a speaker, a feedback microphone and a controller. The earphone control device is arranged in the controller. The controller at least includes an electrical signal acquisition module. The signal acquisition module is used to collect feedback microphone signals and speaker signals. The controller also includes a playback module, and the playback module includes a playback control circuit and playback control software running on the playback control circuit. Fig. 5 is a block diagram of an earphone control device according to an exemplary embodiment. As shown in Fig. 5 , the earphone control device includes:

Playing module 501, is configured to obtain the test audio signal and control the speaker to play the test audio signal;

The first obtaining module 502 is configured to obtain, through the feedback microphone, a feedback microphone time-domain signal generated based on the test audio signal; wherein, the feedback microphone time-domain signal refers to where the test audio signal enters the ear canal. the time domain representation of the formed acoustic signal;

The second acquisition module 503 is configured to acquire, through the electrical signal acquisition module, a speaker time domain signal generated based on the test audio signal; wherein the speaker time domain signal refers to the fact that the test audio signal is generated by the speaker by the speaker The time domain representation of the electrical signal acquired by the electrical signal acquisition module during playback;

The first determining module 504 is configured to determine a first frequency response corresponding to the secondary path according to the correlation between the feedback microphone time-domain signal and the speaker time-domain signal, wherein the secondary path refers to the propagation path of the test audio signal from the speaker to the feedback microphone;

The second determination module 505 is configured to determine the filter parameter corresponding to the first frequency response as the target filter parameter according to the preset frequency response set and the corresponding relationship between the filter parameters; wherein the filter parameters include Active Noise Cancellation filter parameters and/or EQ filter parameters.

In an exemplary embodiment, the first determining module 504 is further configured to:

performing time-frequency conversion processing on the feedback microphone time-domain signal to obtain a feedback microphone frequency-domain signal;

performing time-frequency conversion processing on the loudspeaker time-domain signal to obtain a loudspeaker frequency-domain signal;

Determine a first frequency response corresponding to the secondary path according to the feedback microphone frequency domain signal and the speaker frequency domain signal and a preset transfer function, wherein the transfer function is used to represent the feedback microphone frequency domain signal and the speaker frequency domain signal correlation.

In an exemplary embodiment, the second determining module 505 is further configured to:

According to the preset frequency response set and the corresponding relationship between the filter parameters, the filter parameters corresponding to the target frequency response are determined as the target filter parameters, wherein the frequency response set includes a plurality of preset response parameters, and the selected The preset response parameter closest to the first frequency response among the preset response parameters is used as the target frequency response.

In an exemplary embodiment, the second determining module 505 is further configured to:

respectively calculating the perceptual similarity between the first frequency response and each of the preset response parameters to obtain a plurality of the perceptual similarity;

A preset response parameter corresponding to the perceptual similarity with the smallest value among the plurality of perceptual similarities is selected as the target frequency response.

In an exemplary embodiment, the second determining module 505 is further configured to:

Select frequency values corresponding to multiple spectral lines in the frequency spectrum of the feedback microphone frequency domain signal and the speaker frequency domain signal as frequency parameters;

The plurality of frequency parameters are arranged from small to large, and a frequency interval is formed between two adjacent frequency parameters;

For each frequency point in each of the frequency intervals, calculate the absolute value of the difference between the preset response parameter corresponding to each frequency point and the first frequency response as the first parameter;

summing the first parameters corresponding to each frequency point in the frequency interval to obtain a second parameter;

Weighted summation is performed on the second parameters of a plurality of the frequency intervals to obtain the perceptual similarity between a single preset response parameter and the first frequency response;

The perceptual similarity between each of the preset response parameters and the first frequency response is calculated separately to obtain a plurality of the perceptual similarity.

In an exemplary embodiment, the active noise reduction filter parameters include feedforward filter parameters and feedback filter parameters, and the target filter parameters include one of the following methods:

the feedforward filter parameters, the feedback filter parameters and the sound effect equalization filter parameters;

the feedforward filter parameters and the sound effect equalization filter parameters;

the feedforward filter parameters and the feedback filter parameters;

the feedforward filter parameters;

the feedback filter parameters.

In an exemplary embodiment, the test audio signal includes a wearing sound signal or a playback source signal.

Regarding the apparatus in the above-mentioned embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be described in detail here.

The present disclosure also provides a noise-cancelling earphone, the earphone is provided with the above-mentioned earphone control device, so as to realize the earphone control method in the above-mentioned embodiment. FIG. 6 is a block diagram of a noise-cancelling earphone 700 according to an exemplary embodiment.

6, noise-cancelling headphones 700 may include one or more of the following components: a processing component 702, a memory 704, a power supply component 706, a multimedia component 708, an audio component 710, an input/output (I/O) interface 712, a sensor component 714 , and a communication component 716 .

The processing component 702 generally controls the overall operation of the noise-cancelling headset 700, such as operations associated with display, phone calls, data communications, camera operations, and recording operations. The processing component 702 can include one or more processors 720 to execute instructions to perform all or some of the steps of the methods described above. Additionally, processing component 702 may include one or more modules to facilitate interaction between processing component 702 and other components. For example, processing component 702 may include a multimedia module to facilitate interaction between multimedia component 708 and processing component 702.

Memory 704 is configured to store various types of data to support operation in noise-cancelling headphones 700 . Examples of such data include instructions for any application or method operating on the noise-cancelling headset 700, contact data, phonebook data, messages, pictures, videos, and the like. Memory 704 may be implemented by any type of volatile or nonvolatile storage device or combination thereof, such as static random access memory (SRAM), electrically erasable programmable read only memory (EEPROM), erasable Programmable Read Only Memory (EPROM), Programmable Read Only Memory (PROM), Read Only Memory (ROM), Magnetic Memory, Flash Memory, Magnetic or Optical Disk.

Power supply assembly 706 provides power to the various components of noise-cancelling earphone 700 . Power components 706 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to noise-cancelling headphones 700 .

Multimedia component 708 includes a screen that provides an output interface between the noise-cancelling headphones 700 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touch, swipe, and gestures on the touch panel. The touch sensor may not only sense the boundaries of a touch or swipe action, but also detect the duration and pressure associated with the touch or swipe action. In some embodiments, multimedia component 708 includes a front-facing camera and/or a rear-facing camera. When the noise-cancelling earphone 700 is in an operation mode, such as a shooting mode or a video mode, the front camera and/or the rear camera may receive external multimedia data. Each of the front and rear cameras can be a fixed optical lens system or have focal length and optical zoom capability.

Audio component 710 is configured to output and/or input audio signals. For example, audio component 710 includes a microphone (MIC) that is configured to receive external audio signals when noise-cancelling headset 700 is in operating modes, such as calling mode, recording mode, and voice recognition mode. The received audio signal may be further stored in memory 704 or transmitted via communication component 716 . In some embodiments, audio component 710 also includes a speaker for outputting audio signals.

The I/O interface 712 provides an interface between the processing component 702 and a peripheral interface module, which may be a keyboard, a click wheel, a button, or the like. These buttons may include, but are not limited to: home button, volume buttons, start button, and lock button.

Sensor assembly 714 includes one or more sensors for providing status assessments of various aspects of noise-cancelling headphones 700 . For example, the sensor assembly 714 can detect the on/off state of the noise-cancelling headphones 700, the relative positioning of components, such as the display and keypad of the noise-cancelling headphones 700, and the sensor assembly 714 can also detect the noise-cancelling headphones 700 or drop Changes in the position of a component of the noise-cancelling headset 700 , presence or absence of user contact with the noise-cancelling headset 700 , orientation or acceleration/deceleration of the noise-cancelling headset 700 , and temperature changes in the noise-cancelling headset 700 . Sensor assembly 714 may include a proximity sensor configured to detect the presence of nearby objects in the absence of any physical contact. Sensor assembly 714 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 714 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

Communication component 716 is configured to facilitate wired or wireless communication between noise-cancelling headset 700 and other devices. Noise-cancelling headphones 700 can access wireless networks based on communication standards, such as WiFi, 2G or 3G, or a combination thereof. In one exemplary embodiment, the communication component 716 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 716 also includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module may be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.

In an exemplary embodiment, noise-cancelling headphones 700 may be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field Programmable gate array (FPGA), controller, microcontroller, microprocessor or other electronic component implementation for carrying out the above method.

In an exemplary embodiment, there is also provided a non-transitory computer-readable storage medium including instructions, such as memory 704 including instructions, executable by the processor 720 of the noise-cancelling headset 700 to perform the method described above. For example, the non-transitory computer-readable storage medium may be ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, and the like.

A non-transitory computer-readable storage medium on which computer program instructions are stored, characterized in that, when the computer program instructions are invoked by a processor, an apparatus can execute an earphone control method.

Other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or techniques in the art not disclosed by this disclosure . The specification and examples are to be regarded as exemplary only, with the true scope and spirit of the invention being indicated by the following claims.

It should be understood that the present invention is not limited to the precise structures described above and illustrated in the accompanying drawings, and that various modifications and changes may be made without departing from its scope. The scope of the present invention is limited only by the appended claims.

Claims (10)

1. A headset control method applied to a headset comprising a speaker, a feedback microphone and a controller, the method being performed by the controller, the controller comprising at least an electrical signal acquisition module, the method comprising:

acquiring a test audio signal and controlling the loudspeaker to play the test audio signal;

acquiring, by the feedback microphone, a feedback microphone time domain signal generated based on the test audio signal; wherein the feedback microphone time domain signal refers to a time domain representation of a sound wave signal formed by the test audio signal entering the ear canal;

acquiring a loudspeaker time domain signal generated based on the test audio signal through the electric signal acquisition module; wherein the speaker time domain signal refers to a time domain representation of an electrical signal retrieved by the electrical signal acquisition module when the test audio signal is played by the speaker;

determining a first frequency response corresponding to a secondary path according to a correlation of the feedback microphone time domain signal and the speaker time domain signal, wherein the secondary path refers to a propagation path of the test audio signal from the speaker to the feedback microphone;

determining a filter parameter corresponding to the first frequency response as a target filter parameter according to a preset frequency response set and a filter parameter corresponding relation; wherein the filter parameters comprise active noise reduction filter parameters and/or sound effect equalization filter parameters.

2. The headphone control method of claim 1 wherein determining a first frequency response corresponding to a secondary path based on a correlation of the feedback microphone time domain signal and the speaker time domain signal comprises:

performing time-frequency conversion processing on the feedback microphone time domain signal to obtain a feedback microphone frequency domain signal;

performing time-frequency conversion processing on the loudspeaker time domain signal to obtain a loudspeaker frequency domain signal;

and determining a first frequency response corresponding to the secondary path according to the feedback microphone frequency domain signal, the loudspeaker frequency domain signal and a preset transfer function, wherein the transfer function is used for representing the correlation of the feedback microphone frequency domain signal and the loudspeaker frequency domain signal.

3. The method of claim 2, wherein the determining a filter parameter corresponding to the first frequency response as a target filter parameter according to a preset frequency response set and filter parameter correspondence comprises:

the frequency response set comprises a plurality of preset response parameters, and a preset response parameter which is closest to the first frequency response in the plurality of preset response parameters is selected as a target frequency response; determining a filter parameter corresponding to the target frequency response as a target filter parameter.

4. The headphone control method according to claim 3, wherein the selecting, as the target frequency response, a preset response parameter that is closest to the first frequency response among the plurality of preset response parameters comprises:

respectively calculating the perception similarity between the first frequency response and each preset response parameter to obtain a plurality of perception similarities;

and selecting a preset response parameter corresponding to the perception similarity with the minimum value in the plurality of perception similarities as a target frequency response.

5. The headphone control method according to claim 4, wherein the separately calculating perceptual similarity between the first frequency response and each of the preset response parameters to obtain a plurality of the perceptual similarities comprises:

selecting frequency values corresponding to a plurality of spectral lines in the frequency spectrums of the feedback microphone frequency domain signal and the loudspeaker frequency domain signal as frequency parameters;

the multiple frequency parameters are arranged from small to large, and a frequency interval is formed between every two adjacent frequency parameters;

for each frequency point in each frequency interval, calculating an absolute value of a difference value between the preset response parameter corresponding to each frequency point and the first frequency response as a first parameter;

summing the first parameters corresponding to each frequency point in the frequency interval to obtain second parameters;

carrying out weighted summation on the second parameters of the frequency intervals to obtain the perceptual similarity between a single preset response parameter and the first frequency response;

and respectively calculating the perception similarity of each preset response parameter and the first frequency response to obtain a plurality of perception similarities.

6. The headphone control method according to any one of claims 1-5, wherein the active noise reduction filter parameters include feedforward filter parameters and feedback filter parameters, and the target filter parameters include one of:

the feedforward filter parameter, the feedback filter parameter and the sound effect equalization filter parameter;

the feedforward filter parameter and the sound effect equalization filter parameter;

the feedforward filter parameter and the feedback filter parameter;

the feedforward filter parameter;

the feedback filter parameter.

7. The headphone control method according to any one of claims 1-5, wherein the test audio signal comprises a wearing cue tone signal or a playback source signal.

8. The utility model provides an earphone controlling means, its characterized in that is applied to the earphone, the earphone includes speaker, feedback microphone and controller, install in the controller, the controller includes the signal of telecommunication collection module at least, earphone controlling means includes:

the playing module is configured to acquire a test audio signal and control the loudspeaker to play the test audio signal;

a first acquisition module configured to acquire, by the feedback microphone, a feedback microphone time domain signal generated based on the test audio signal; wherein the feedback microphone time domain signal refers to a time domain representation of a sound wave signal formed by the test audio signal entering the ear canal;

a second obtaining module configured to obtain, by the electrical signal acquisition module, a speaker time domain signal generated based on the test audio signal; wherein the speaker time domain signal refers to a time domain representation of an electrical signal retrieved by the electrical signal acquisition module when the test audio signal is played by the speaker;

a first determining module configured to determine a first frequency response corresponding to a secondary path according to a correlation of the feedback microphone time domain signal and the speaker time domain signal, wherein the secondary path refers to a propagation path of the test audio signal from the speaker to the feedback microphone;

a second determining module configured to determine a filter parameter corresponding to the first frequency response as a target filter parameter according to a preset frequency response set and a filter parameter correspondence; wherein the filter parameters comprise active noise reduction filter parameters and/or audio equalization filter parameters.

9. A noise reduction earphone is characterized by comprising a shell, a feedforward microphone, a feedback microphone, a loudspeaker and a controller, wherein the feedforward microphone, the feedback microphone, the loudspeaker and the controller are arranged on the shell;

the feedforward microphone is used for collecting sound wave signals in the surrounding environment of the earphone;

the feedback microphone is used for collecting sound wave signals in the auditory canal;

the loudspeaker is used for playing sound wave signals;

the controller is communicatively coupled to the feedforward microphone, the feedback microphone, and the speaker, respectively, the controller including a processor and a memory, the memory storing computer program instructions executable by the processor, the processor configured to invoke the computer program instructions to perform the method of any of claims 1-7.

10. A non-transitory computer-readable storage medium having stored thereon computer program instructions that, when invoked by a processor, perform the method of any one of claims 1-7.

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