WO2021147381A1

WO2021147381A1 - Method and device for testing listening module of terminal device

Info

Publication number: WO2021147381A1
Application number: PCT/CN2020/120883
Authority: WO
Inventors: 杨家宇
Original assignee: 上海万物新生环保科技集团有限公司
Priority date: 2020-01-21
Filing date: 2020-10-14
Publication date: 2021-07-29
Also published as: CN111314536A; CN111314536B

Abstract

The present application aims to provide a method and device for testing a listening module of a terminal device. The method of the present application comprises: adjusting a listening module of a terminal device to a threshold state by means of a pre-configured test program; acquiring original audio data of the listening module in the threshold state; cutting the original audio data into multiple segments, and then calculating the frequency of each segment of audio data to obtain a calculation result; and determining, according to the calculation result and the original audio data, whether the listening module is up to standard. Therefore, a test can be performed without obtaining a complete waveform, and the external interference is greatly reduced, thereby improving the test accuracy.

Description

Method and equipment for detecting listening module of terminal equipment

Technical field

This application relates to the field of device detection, and in particular, to a method and device for detecting a listening module of a terminal device.

Background technique

The listening module of the terminal equipment is used to emit and record sound, such as the speaker of a mobile phone. The listening module converts electrical and acoustic signals, and its performance has a great impact on the sound quality; performance testing is required when the listening module is produced. Among them, the audio test plays an important role. However, the current audio detection needs to detect the complete waveform of the acquired sound data, and the acquired sound usually contains a lot of external interference during the detection, which causes the detection result to be inaccurate.

Summary of the invention

One purpose of this application is to provide a method and device for detecting the listening module of a terminal device, which solves the problem that the audio detection of the listening module in the prior art needs to obtain a complete waveform and that the detection result is greatly interfered by the outside world and the detection is inaccurate. problem.

According to one aspect of the present application, there is provided a method for detecting a listening module of a terminal device, the method including:

Adjust the listening module of the terminal device to the threshold state through the preset detection program;

Acquiring the original audio data of the listening module in the threshold state;

After cutting the original audio data into multiple segments, calculate the frequency of each segment of audio data to obtain a calculation result;

Determine whether the listening module is qualified according to the calculation result and the original audio data.

Further, judging whether the listening module is qualified according to the calculation result and the original audio data includes:

Comparing the calculation result with the original audio data to obtain a comparison result, and judging whether the listening module is qualified according to the comparison result and a preset proportion.

Further, after the original audio data is cut into multiple segments, the frequency of each segment of audio data is calculated to obtain the calculation result, including:

After the original audio data is cut into multiple segments, discrete Fourier transform is performed on each segment to obtain multiple discrete points;

Select the discrete points as peak points from multiple discrete points and sort them according to the peak value;

Calculate the frequency corresponding to the discrete points after sorting, and obtain the calculation result.

If the frequency corresponding to the sorted discrete point corresponding to each piece of audio data has a frequency that is consistent with the frequency of the original audio data, then the piece of audio data is a qualified audio segment;

If the total number of qualified audio segments is greater than the preset proportion, the detection result of the listening module is qualified.

Further, the method further includes:

Obtain the frequency of the original audio data when the listening module is adjusted to the threshold state.

Further, comparing the calculation result with the original audio data to obtain a comparison result, and judging whether the listening module is qualified according to the comparison result and a preset proportion, includes:

Comparing whether the frequency of each piece of audio is the same as the frequency of the original audio data, and locating the position of the frequency when the frequency is the same;

Determine whether the listening module is qualified according to the preset proportion and the located position.

Further, obtaining the original audio data of the listening module in the threshold state includes:

Playing the listening module in the threshold state, and recording the sound emitted by the listening module;

Analyze the recorded sound, and determine whether the original audio data of the listening module is recorded according to the analysis result.

Further, calculating the frequency of each piece of audio data after cutting the original audio data into multiple segments includes:

Determine the admission time for the sound emitted by the listening module;

The original audio data is cut into multiple segments according to the recording time and a preset segmented processing data threshold, and the frequency of each segment of audio data is calculated.

According to another aspect of the present application, there is also provided a device for detecting a listening module of a terminal device, the device including:

The deployment device is used to adjust the listening module of the terminal device to a threshold state through a preset detection program;

Acquiring means for acquiring the original audio data of the listening module in the threshold state;

A calculating device for calculating the frequency of each piece of audio data after cutting the original audio data into multiple segments to obtain a calculation result;

The judging device is used for judging whether the listening module is qualified according to the calculation result and the original audio data.

Further, the judging device is used for:

Further, the computing device is used for:

Further, the judging device is used for:

Further, the device further includes:

The second acquiring device is used to acquire the frequency of the original audio data when the listening module is adjusted to the threshold state.

Further, the judging device is used for:

Further, the acquiring device is used for:

Further, the computing device is used for:

Determine the admission time for the sound emitted by the listening module;

According to still another aspect of the present application, there is also provided a computer-readable medium having computer-readable instructions stored thereon, and the computer-readable instructions can be executed by a processor to implement the aforementioned method.

Compared with the prior art, this application adjusts the listening module of the terminal device to a threshold state through a preset detection program; obtains the original audio data of the listening module in the threshold state; cuts the original audio data into multiple segments Calculate the frequency of each piece of audio data to obtain the calculation result; determine whether the listening module is qualified according to the calculation result and the original audio data; thus, the detection can be performed without obtaining a complete waveform, and the external interference is greatly reduced, Improve the accuracy of detection.

Description of the drawings

By reading the detailed description of the non-limiting embodiments with reference to the following drawings, other features, purposes, and advantages of the present application will become more apparent:

Fig. 1 shows a schematic flowchart of a method for detecting a listening module of a terminal device according to an aspect of the present application;

Fig. 2 shows a frequency domain schematic diagram of a segment of audio file converted by a fast algorithm of discrete Fourier transform in an embodiment of the present application;

Fig. 3 shows a schematic structural diagram of a device for detecting a listening module of a terminal device according to another aspect of the present application.

The same or similar reference signs in the drawings represent the same or similar components.

Detailed ways

The application will be further described in detail below in conjunction with the accompanying drawings.

In a typical configuration of this application, the terminal, the equipment of the service network, and the trusted party all include one or more processors (for example, a central processing unit (CPU)), input/output interfaces, network interfaces, and memory .

Memory may include non-permanent memory in computer readable media, random access memory (RAM) and/or non-volatile memory, such as read only memory (ROM) or flash memory (Read Only Memory). flash RAM). Memory is an example of computer readable media.

Computer-readable media include permanent and non-permanent, removable and non-removable media, and information storage can be realized by any method or technology. The information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, Phase-Change RAM (PRAM), Static Random Access Memory (SRAM), and Dynamic Random Access Memory (DRAM) , Other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), flash memory or other memory technologies, only CD-ROM (Compact Disc Read-Only Memory), Digital Versatile Disk (DVD) or other optical storage, magnetic cassette tape, magnetic tape disk storage or other magnetic storage devices or any other Non-transmission media that can be used to store information that can be accessed by computing devices. According to the definition in this article, computer-readable media does not include non-transitory computer-readable media (transitory media), such as modulated data signals and carrier waves.

Fig. 1 shows a schematic flowchart of a method for detecting a listening module of a terminal device according to an aspect of the present application. The method includes: step S11 to step S14,

In step S11, the listening module of the terminal device is adjusted to the threshold state through the preset detection program; here, when the listening module of the terminal device is detected, the listening module is automatically adjusted to the threshold through the preset detection program in the detection machine Status, where the listening module is used to obtain external sounds and play the sounds of terminal devices, such as the microphones and speakers of mobile phones, and the threshold state is the state of maximum playback or sound collection, that is, the volume is adjusted to the maximum.

Next, in step S12, the original audio data of the listening module in the threshold state is obtained; here, after the listening module is adjusted to the threshold state, the original audio data sent by the listening module at this time is obtained, such as when the volume is adjusted. When the maximum value is reached, the sound emitted by the listening module is the original audio data, which reduces the detection inaccuracy caused by external interference.

Subsequently, in step S13, the original audio data is cut into multiple segments and the frequency of each piece of audio data is calculated to obtain the calculation result; here, the recorded original audio data is segmented, and after being cut into multiple segments, you can use Discrete Fourier algorithm calculates the frequency of each segment of audio data, that is, converts the waveform data to point data, and obtains the frequency of the sound in each segment; among them, the audio data after interference is converted by discrete Fourier calculation (such as FFT) After obtaining the peak values of multiple points, you can take the peak values of the largest three points, and then convert the peak values of the three points into frequencies. Therefore, in step S14, it is judged whether the listening module is qualified according to the calculation result and the original audio data. Here, the calculated frequency of each piece of audio data is compared with the original audio data, and audio analysis is performed to determine whether the calculated audio data is original audio data. If they are consistent, the audio performance of the listening module is qualified. For example, the peak value of multiple points obtained after FFT conversion of a certain piece of audio data is taken, and then the peak value of the largest three points is converted into frequency. If the frequency of a certain point is the same as the frequency of the source audio file, it can be considered as the peak value. Pieces of audio are eligible. This avoids the possibility of audio analysis even if the sound waveform is incomplete to determine whether the audio meets the conditions.

In an embodiment of the present application, in step S14, the calculation result is compared with the original audio data to obtain a comparison result, and it is determined whether the listening module is qualified according to the comparison result and a preset proportion. Here, the frequency of each piece of audio data obtained by calculation is analyzed and compared with the original data. If the comparison result exceeds the specified proportion, it is judged that the audio has passed the detection and the audio detection of the listening module is qualified.

In an embodiment of the present application, the method further includes: acquiring the frequency of the original audio data when the listening module is adjusted to a threshold state. Here, the frequency of the corresponding audio data output when the listening module is adjusted to the maximum volume is obtained, so that when the audio of the listening module is detected, the frequency of the sound data recorded under the maximum volume is the same as the original output frequency. Specifically: in step S14, compare whether the frequency of each piece of audio is the same as the frequency of the original audio data, and locate the location of the frequency when the same; according to the preset proportion and the location The location judges whether the listening module is qualified. Here, search for the segment in which the frequency of all segments of audio is consistent with the frequency of the original audio data, locate the segment, and determine the audio of this analysis based on the specified proportion and the location of the segment. Whether it passes the test; for example, the frequency of the original audio data is sent out under 1000HZ. After the recorded audio data is cut and analyzed, the frequency of 10 segments of audio data is obtained. Among them, the frequency may appear 200HZ or 300HZ. The preset proportion is 80%. When the frequency of 1000HZ in each segment exceeds 80%, the audio data of this segment can be considered qualified. When the number of qualified segments occupies the total number of segments and exceeds the preset proportion value At the time, it is considered that the audio data detection passed this time.

In an embodiment of the present application, in step S13, after the original audio data is cut into multiple segments, each segment is subjected to discrete Fourier transform to obtain multiple discrete points; the peak point is selected from the multiple discrete points The discrete points are sorted according to the peak value; the frequency corresponding to the sorted discrete points is calculated, and the calculation result is obtained. Furthermore, in step S14, if the frequency corresponding to the sorted discrete point corresponding to each piece of audio data has a frequency that is consistent with the frequency of the original audio data, then the piece of audio data is a qualified audio segment; If the total number is greater than the preset proportion, the detection result of the listening module is qualified. As shown in Figure 2, it is a schematic diagram of the frequency domain of an audio file converted by FFT (Fast Algorithm of Discrete Fourier Transform). It can be seen from the figure that peaks appear at points 1, 51, and 76. The point is close to 0, and the peak data is sorted from largest to smallest, and the three peak points are taken to calculate the frequency respectively. The calculation is carried out by the formula: Fn=(n-1)*Fs/N, where Fn is the frequency of point n, and Fs is Sampling frequency, N is the number of sampling points, the sampling frequency in Figure 2 is 256, and the number of sampling points is 256, so that the frequency of the audio file can be obtained as 0Hz, 50Hz, 75Hz. If the frequency of the source audio file is 100Hz, these three points are not met. Similarly, it can be concluded whether other pieces of audio data meet the conditions. If each piece of audio data meets the conditions, the total is added to 1, and finally the passing ratio r= (pt/t)*100, where pt is the number of matching audio segments, t is the total number of segments, r is the result of qualification, if r is greater than 80, it is considered that there is no problem with the source audio data, and there is no problem with the terminal device, that is, the terminal device’s There is no problem with audio detection.

In an embodiment of the present application, in step S12, the listening module is played in the threshold state, and the sound emitted by the listening module is recorded; the recorded sound is analyzed, and it is determined according to the analysis result whether it is admitted to the listening module. The original audio data of the listening module. Here, when the audio data that needs to be detected is obtained, the sound is played at the maximum volume state, and then the sound data at this time is recorded, and the recorded sound is analyzed to determine whether the audio data that needs to be detected is actually recorded, that is, The original audio data has been recorded.

In an embodiment of the present application, in step S13, the recording time for recording the sound emitted by the listening module is determined; the original audio data is cut into multiple segments according to the recording time and a preset segmented processing data threshold, Calculate the frequency of each piece of audio data. Here, for example, the recording time for recording the sound emitted by the speaker is 10s, and the preset segment processing data is M, then the 10s original audio data is based on the data volume within 10s and the data M that can be processed in each segment Carry out segmentation, cut into multiple segments, then calculate the frequency of each segment of audio data, and analyze each segment of audio data.

2 shows a schematic structural diagram of a device for detecting a listening module of a terminal device according to another aspect of the present application. The device includes: a deployment device 11, an acquisition device 12, a calculation device 13, and a judgment device 14.

The deployment device 11 is used to adjust the listening module of the terminal device to the threshold state through the preset detection program; here, when the listening module of the terminal device is detected, the listening module is automatically adjusted to the preset detection program in the detection machine Threshold state, where the listening module is used to acquire external sounds and play the sounds of terminal devices, such as the microphone and speaker of a mobile phone. The threshold state is the state of maximum playback or sound collection, that is, the volume is adjusted to the maximum.

The obtaining device 12 is used to obtain the original audio data of the listening module in the threshold state; here, after the listening module is adjusted to the threshold state, obtain the original audio data sent by the listening module at this time, for example, when the volume is adjusted to In the case of the maximum value, the sound emitted by the listening module is the original audio data, which reduces the detection inaccuracy caused by external interference.

The calculating device 13 is used to calculate the frequency of each piece of audio data after cutting the original audio data into multiple segments to obtain the calculation result; here, the recorded original audio data is divided into multiple segments, and then the discrete The Fourier algorithm calculates the frequency of each segment of audio data, that is, converts the waveform data into point data, and obtains the frequency of the sound in each segment; among them, the audio data after interference is transformed by discrete Fourier calculation (such as FFT) To obtain the peak values of multiple points, you can take the peak values of the largest three points, and then convert the peak values of the three points into frequencies. The judging device 14 is used for judging whether the listening module is qualified according to the calculation result and the original audio data. Here, the calculated frequency of each piece of audio data is compared with the original audio data, and audio analysis is performed to determine whether the calculated audio data is original audio data. If they are consistent, the audio performance of the listening module is qualified. This avoids the possibility of audio analysis even if the sound waveform is incomplete to determine whether the audio meets the conditions.

In an embodiment of the present application, the judging device 14 is used to compare the calculation result with the original audio data to obtain a comparison result, and determine whether the listening module is qualified according to the comparison result and a preset proportion. Here, the frequency of each piece of audio data obtained by calculation is analyzed and compared with the original data. If the comparison result exceeds the specified proportion, it is judged that the audio has passed the detection and the audio detection of the listening module is qualified. For example, the peak value of multiple points obtained after FFT conversion of a certain piece of audio data is taken, and then the peak value of the largest three points is converted into frequency. If the frequency of a certain point is the same as the frequency of the source audio file, it can be considered as the peak value. Pieces of audio are eligible. This avoids the possibility of audio analysis even if the sound waveform is incomplete to determine whether the audio meets the conditions.

In an embodiment of the present application, the device further includes: a second acquiring device, configured to acquire the frequency of the original audio data when the listening module is adjusted to a threshold state. Here, the frequency of the corresponding audio data output when the listening module is adjusted to the maximum volume is obtained, so that when the audio of the listening module is detected, the frequency of the sound data recorded under the maximum volume is the same as the original output frequency. Specifically: the judging device 14 is used to compare whether the frequency of each piece of audio is the same as the frequency of the original audio data, and locate the position of the frequency when the same; according to the preset proportion and the location The location judges whether the listening module is qualified. Here, search for the segment in which the frequency of all segments of audio is consistent with the frequency of the original audio data, locate the segment, and determine the audio of this analysis based on the specified proportion and the location of the segment. Whether it passes the test; for example, the frequency of the original audio data is sent out under 1000HZ. After the recorded audio data is cut and analyzed, the frequency of 10 segments of audio data is obtained. Among them, the frequency may appear 200HZ or 300HZ. The preset proportion is 80%. When the frequency of 1000HZ in each segment exceeds 80%, the audio data of this segment can be considered qualified. When the number of qualified segments occupies the total number of segments and exceeds the preset proportion value At the time, it is considered that the audio data detection passed this time.

In an embodiment of the present application, the computing device 13 is configured to: after cutting the original audio data into multiple segments, perform discrete Fourier transform on each segment to obtain multiple discrete points; and select the peak value from the multiple discrete points. The discrete points of the points are sorted according to the peak value; the frequency corresponding to the sorted discrete points is calculated, and the calculation result is obtained. The judging device 14 is used for: if there is a frequency consistent with the frequency of the original audio data in the frequency corresponding to the sorted discrete point corresponding to each piece of audio data, then the piece of audio data is a qualified audio segment; If the total number is greater than the preset proportion, the detection result of the listening module is qualified. As shown in Figure 2, it is a schematic diagram of the frequency domain of an audio file converted by FFT (Fast Algorithm of Discrete Fourier Transform). It can be seen from the figure that peaks appear at points 1, 51, and 76. The point is close to 0, and the peak data is sorted from largest to smallest, and the three peak points are taken to calculate the frequency respectively. The calculation is carried out by the formula: Fn=(n-1)*Fs/N, where Fn is the frequency of point n, and Fs is Sampling frequency, N is the number of sampling points, the sampling frequency in Figure 2 is 256, and the number of sampling points is 256, so that the frequency of the audio file can be obtained as 0Hz, 50Hz, 75Hz. If the frequency of the source audio file is 100Hz, these three points are not met. Similarly, it can be concluded whether other pieces of audio data meet the conditions. If each piece of audio data meets the conditions, the total is added to 1, and finally the passing ratio r= (pt/t)*100, where pt is the number of matching audio segments, t is the total number of segments, r is the result of qualification, if r is greater than 80, it is considered that there is no problem with the source audio data, and there is no problem with the terminal device, that is, the terminal device’s There is no problem with audio detection.

In an embodiment of the present application, the acquiring device 12 is used to play the listening module in the threshold state, and record the sound emitted by the listening module; analyze the recorded sound, and determine whether it is admitted to the station according to the analysis result. The original audio data of the listening module. Here, when the audio data that needs to be detected is obtained, the sound is played at the maximum volume state, and then the sound data at this time is recorded, and the recorded sound is analyzed to determine whether the audio data that needs to be detected is actually recorded, that is, The original audio data has been recorded.

In an embodiment of the present application, the computing device 13 is used to determine the recording time for recording the sound emitted by the listening module; cutting the original audio data into multiple segments according to the recording time and a preset segmented processing data threshold, Calculate the frequency of each piece of audio data. Here, for example, the recording time for recording the sound emitted by the speaker is 10s, and the preset segment processing data is M, then the 10s original audio data is based on the data volume within 10s and the data M that can be processed in each segment Carry out segmentation, cut into multiple segments, then calculate the frequency of each segment of audio data, and analyze each segment of audio data.

In addition, the embodiments of the present application also provide a computer-readable medium, on which computer-readable instructions are stored, and the computer-readable instructions can be executed by a processor to implement the aforementioned method for detecting a listening module of a terminal device. method.

Obviously, those skilled in the art can make various changes and modifications to the application without departing from the spirit and scope of the application. In this way, if these modifications and variations of this application fall within the scope of the claims of this application and their equivalent technologies, then this application is also intended to include these modifications and variations.

It should be noted that this application can be implemented in software and/or a combination of software and hardware. For example, it can be implemented using an application specific integrated circuit (ASIC), a general purpose computer or any other similar hardware device. In an embodiment, the software program of the present application may be executed by a processor to realize the steps or functions described above. Likewise, the software program (including related data structures) of the present application can be stored in a computer-readable recording medium, for example, RAM memory, magnetic or optical drives or floppy disks and similar devices. In addition, some steps or functions of the present application may be implemented by hardware, for example, as a circuit that cooperates with a processor to execute each step or function.

In addition, a part of this application can be applied as a computer program product, such as a computer program instruction, when it is executed by a computer, through the operation of the computer, the method and/or technical solution according to this application can be invoked or provided. The program instructions for calling the method of the present application may be stored in a fixed or removable recording medium, and/or be transmitted through a data stream in a broadcast or other signal-bearing medium, and/or be stored in accordance with the Said program instructions run in the working memory of the computer equipment. Here, an embodiment according to the present application includes a device that includes a memory for storing computer program instructions and a processor for executing the program instructions, wherein when the computer program instructions are executed by the processor, the device triggers The operation of the device is based on the aforementioned methods and/or technical solutions according to multiple embodiments of the present application.

For those skilled in the art, it is obvious that the present application is not limited to the details of the above exemplary embodiments, and the present application can be implemented in other specific forms without departing from the spirit or basic characteristics of the present application. Therefore, no matter from which point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of this application is defined by the appended claims rather than the above description, and therefore it is intended to fall into the claims. All changes in the meaning and scope of the equivalent elements of are included in this application. Any reference signs in the claims should not be regarded as limiting the claims involved. In addition, it is obvious that the word "including" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or devices stated in the device claims can also be implemented by one unit or device through software or hardware. Words such as first and second are used to denote names, but do not denote any specific order.

Claims

A method for detecting a listening module of a terminal device, characterized in that the method includes:

Adjust the listening module of the terminal device to the threshold state through the preset detection program;

Acquiring the original audio data of the listening module in the threshold state;

After cutting the original audio data into multiple segments, calculate the frequency of each segment of audio data to obtain a calculation result;

Determine whether the listening module is qualified according to the calculation result and the original audio data.
The method according to claim 1, wherein judging whether the listening module is qualified according to the calculation result and the original audio data comprises:

Comparing the calculation result with the original audio data to obtain a comparison result, and judging whether the listening module is qualified according to the comparison result and a preset proportion.
The method according to claim 1, wherein after the original audio data is cut into multiple segments, the frequency of each segment of audio data is calculated to obtain the calculation result, comprising: after the original audio data is cut into multiple segments, each segment Perform discrete Fourier transform to obtain multiple discrete points;

Select the discrete points as peak points from multiple discrete points and sort them according to the peak value;

Calculate the frequency corresponding to the discrete points after sorting, and obtain the calculation result.
The method according to claim 3, wherein judging whether the listening module is qualified according to the calculation result and the original audio data comprises:

If the frequency corresponding to the sorted discrete point corresponding to each piece of audio data has a frequency that is consistent with the frequency of the original audio data, then the piece of audio data is a qualified audio segment;

If the total number of qualified audio segments is greater than the preset proportion, the detection result of the listening module is qualified.
The method according to claim 1, wherein the method further comprises:

Obtain the frequency of the original audio data when the listening module is adjusted to the threshold state.
The method according to claim 2 or 5, characterized in that, comparing the calculation result with the original audio data to obtain a comparison result, and judging whether the listening module is qualified according to the comparison result and a preset proportion, include:

Comparing whether the frequency of each piece of audio is the same as the frequency of the original audio data, and locating the position of the frequency when the frequency is the same;

Determine whether the listening module is qualified according to the preset proportion and the located position.
The method according to claim 1, wherein acquiring the original audio data of the listening module in the threshold state comprises:

Playing the listening module in the threshold state, and recording the sound emitted by the listening module;

Analyze the recorded sound, and determine whether the original audio data of the listening module is recorded according to the analysis result.
The method according to claim 7, wherein the calculation of the frequency of each piece of audio data after cutting the original audio data into multiple pieces comprises:

Determine the admission time for the sound emitted by the listening module;

The original audio data is cut into multiple segments according to the enrollment time and a preset segmented processing data threshold, and the frequency of each segment of audio data is calculated.
A device for detecting a listening module of a terminal device, characterized in that the device includes:

The deployment device is used to adjust the listening module of the terminal device to a threshold state through a preset detection program;

Acquiring means for acquiring the original audio data of the listening module in the threshold state;

A calculating device for calculating the frequency of each piece of audio data after cutting the original audio data into multiple segments to obtain a calculation result;

The judging device is used for judging whether the listening module is qualified according to the calculation result and the original audio data.
The device according to claim 9, wherein the judging device is used for:

Comparing the calculation result with the original audio data to obtain a comparison result, and judging whether the listening module is qualified according to the comparison result and a preset proportion.
The device according to claim 9, wherein the computing device is used for:

After the original audio data is cut into multiple segments, discrete Fourier transform is performed on each segment to obtain multiple discrete points;

Select the discrete points as peak points from multiple discrete points and sort them according to the peak value;

Calculate the frequency corresponding to the discrete points after sorting, and obtain the calculation result.
The device according to claim 11, wherein the judging device is used for:

If the frequency corresponding to the sorted discrete point corresponding to each piece of audio data has a frequency that is consistent with the frequency of the original audio data, then the piece of audio data is a qualified audio segment;

If the total number of qualified audio segments is greater than the preset proportion, the detection result of the listening module is qualified.
The device according to claim 9, wherein the device further comprises:

The second acquiring device is used to acquire the frequency of the original audio data when the listening module is adjusted to the threshold state.
The device according to claim 10 or 13, wherein the judging device is used for:

Comparing whether the frequency of each piece of audio is the same as the frequency of the original audio data, and locating the position of the frequency when the frequency is the same;

Determine whether the listening module is qualified according to the preset proportion and the located position.
The device according to claim 9, wherein the acquiring device is used for:

Playing the listening module in the threshold state, and recording the sound emitted by the listening module;

Analyze the recorded sound, and determine whether the original audio data of the listening module is recorded according to the analysis result.
The device according to claim 15, wherein the computing device is used for:

Determine the admission time for the sound emitted by the listening module;

The original audio data is cut into multiple segments according to the enrollment time and a preset segmented processing data threshold, and the frequency of each segment of audio data is calculated.
A computer-readable medium having computer-readable instructions stored thereon, and the computer-readable instructions can be executed by a processor to implement the method according to any one of claims 1 to 8.