Sound leakage evaluation method and device, equipment, storage medium and program product

Abstract

The invention provides a sound leakage evaluation method and device, equipment, a storage medium and a program product, and relates to the technical field of acoustic testing. The method comprises the steps of obtaining a sound leakage volume value of to-be-tested audio equipment, obtaining a sound leakage definition index of the to-be-tested audio equipment, and further determining a sound leakage evaluation result of the to-be-tested audio equipment based on the sound leakage volume value and the sound leakage definition index. According to the method and the device, the sound leakage condition of the to-be-tested audio equipment is comprehensively evaluated by combining the two dimensions of the sound leakage volume value and the sound leakage definition index of the to-be-tested audio equipment, so that sound leakage evaluation of the to-be-tested audio equipment is more accurate and comprehensive, and the accuracy of a sound leakage evaluation result is improved; besides, through a more accurate sound leakage evaluation result, research and development personnel can more effectively optimize the design of the audio equipment, so that unnecessary sound leakage is reduced, and the requirements of users for high-quality audio experience and privacy protection are met.

Description

Technical Field

[0001] The present application relates to the field of acoustic testing technology, and in particular to a sound leakage evaluation method, device, equipment, storage medium and program product. Background Art

[0002] In recent years, with the growing demand of users for a natural and comfortable auditory experience, open audio devices such as open wearable stereo systems (OWS), smart glasses, augmented reality (AR) and virtual reality (VR) devices have gradually become popular among users. Through the open cavity design, open audio devices allow users to maintain awareness of the surrounding environment while enjoying high-quality audio. However, this type of audio device also faces a common problem, namely sound leakage. Sound leakage refers to the unexpected leakage of sound to the outside world when the audio device plays sound. This unexpected sound leakage may not only disturb the people around, but more importantly, it may leak the user's privacy, especially in public places or environments that require confidentiality. Therefore, sound leakage evaluation has become a key link in the research and development process of open audio devices. Accurate evaluation results can help R&D personnel evaluate and improve the acoustic sealing of open audio devices, thereby improving user experience and safety.

[0003] In the related art, the sound leakage volume value of the open audio device is usually tested, and the sound leakage situation is evaluated based on the sound leakage volume value and a preset reference value, which has the problem of low accuracy of the evaluation result. Summary of the invention

[0004] The present application provides a sound leakage evaluation method, device, equipment, storage medium and program product, which are used to solve the problem of low accuracy of evaluation results when performing sound leakage evaluation of open audio equipment in the related art.

[0005] In a first aspect, the present application provides a sound leakage evaluation method, comprising:

[0006] Get the sound leakage volume value of the audio device under test;

[0007] Get the sound leakage clarity index of the audio device under test;

[0008] The sound leakage evaluation result of the audio device under test is determined based on the sound leakage volume value and the sound leakage clarity index.

[0009] In a possible implementation, obtaining a leakage sound clarity index of an audio device under test includes: obtaining first sound pressure level data of a first target point under target background noise; obtaining second sound pressure level data of a second target point while the audio device under test plays a target corpus at a first volume; obtaining third sound pressure level data of the second target point while the audio device under test plays a target corpus at a second volume; determining the leakage sound clarity index of the audio device under test based on the first sound pressure level data, the second sound pressure level data, and the third sound pressure level data; wherein the first target point and the second target point are disposed adjacent to the audio device under test.

[0010] In a possible implementation, based on the first sound pressure level data, the second sound pressure level data and the third sound pressure level data, a leakage sound clarity index of the audio device to be tested is determined, including: based on the first sound pressure level data, determining the octave spectrum of the first sound pressure level data within the target test frequency range; based on the second sound pressure level data, the third sound pressure level data and the target test frequency range, determining the pronunciation window of the audio device to be tested; based on the octave spectrum and the pronunciation window, determining the coverage value of each octave contained in the target octave range, the target octave range is determined according to the target test frequency range; based on the coverage value of each octave contained in the target octave range and the octave weight factor, determining the leakage sound clarity index of the audio device to be tested.

[0011] In a possible implementation, the sound leakage clarity index satisfies the following formula:

[0012]

[0013] Among them, B 1 is the sound leakage clarity index, n is the number of octaves contained in the target octave range, F i is the coverage value of the i-th octave included in the target octave range, Q i is the octave weight factor of the i-th octave band.

[0014] In one possible implementation, based on the octave spectrum and the pronunciation window, the coverage value of each octave included in the target octave range is determined, including: for each octave included in the target octave range, comparing the sound pressure level value corresponding to the octave in the octave spectrum, the upper limit value of the sound pressure level and the lower limit value of the sound pressure level corresponding to the octave in the pronunciation window; and determining the coverage value of the octave according to the numerical relationship between the sound pressure level value, the upper limit value of the sound pressure level and the lower limit value of the sound pressure level.

[0015] In a possible implementation, the octave coverage value is determined according to the numerical relationship between the sound pressure level value, the upper limit value of the sound pressure level and the lower limit value of the sound pressure level, including: if the sound pressure level value is greater than or equal to the upper limit value of the sound pressure level, the octave coverage value is determined to be 0; if the sound pressure level value is less than or equal to the lower limit value of the sound pressure level, the octave coverage value is determined to be 1; if the sound pressure level value is greater than the lower limit value of the sound pressure level and less than the upper limit value of the sound pressure level, the difference between the upper limit value of the sound pressure level and the sound pressure level value is obtained, and the octave coverage value is determined according to the ratio of the difference to the lower limit value of the sound pressure level.

[0016] In a possible implementation, the octave weight factor is determined in the following manner: obtaining speech content in the target corpus; determining the gender of the pronunciation object corresponding to the speech content based on the speech content; and determining the octave weight factor to be the octave weight factor corresponding to the gender of the pronunciation object.

[0017] In a possible implementation, obtaining a leakage sound volume value of an audio device under test includes: obtaining fourth sound pressure level data of multiple points during audio playback by the audio device under test, where the multiple points are arranged adjacent to the audio device under test; and determining a leakage sound volume value of the audio device under test based on the fourth sound pressure level data of the multiple points.

[0018] In a possible implementation, multiple points correspond to different directions and different heights, and based on the fourth sound pressure level data of the multiple points, the leakage volume value of the audio device to be tested is determined, including: obtaining a weight factor of each of the multiple points; based on the weight factor of each of the multiple points and the fourth sound pressure level data, determining the leakage volume value of the audio device to be tested.

[0019] In a possible implementation, when testing different types of audio devices under test, before obtaining fourth sound pressure level data of multiple points, it also includes: performing a reference signal amplitude calibration on a test signal sent to the audio device under test to determine the calibrated reference signal amplitude; based on the reference signal amplitude, sending a swept frequency signal in a target frequency range to the audio device under test, and the audio device under test plays audio according to the swept frequency signal.

[0020] In a possible implementation, a sound leakage evaluation result of the audio device to be tested is determined based on a sound leakage volume value and a sound leakage clarity index, including: determining a sound leakage performance index value of the audio device to be tested based on the sound leakage volume value and the sound leakage clarity index; determining a sound leakage evaluation result of the audio device to be tested based on the sound leakage performance index value and a sound leakage performance index reference value.

[0021] In one possible implementation, a sound leakage performance index value of the audio device to be tested is determined based on a sound leakage volume value and a sound leakage clarity index, including: determining a first ratio of the sound leakage volume value to a sound leakage volume reference value; determining a second ratio of the sound leakage clarity index to the sound leakage clarity index reference value; and determining the sound leakage performance index value of the audio device to be tested based on the first ratio and the second ratio.

[0022] In a second aspect, the present application provides a sound leakage evaluation device, comprising:

[0023] A first acquisition module is used to obtain the sound leakage volume value of the audio device to be tested;

[0024] The second acquisition module is used to obtain the sound leakage clarity index of the audio device to be tested;

[0025] The determination module is used to determine the sound leakage evaluation result of the audio device to be tested based on the sound leakage volume value and the sound leakage clarity index.

[0026] In a third aspect, the present application provides an electronic device, comprising: a processor, and a memory communicatively connected to the processor;

[0027] Memory for storing computer-executable instructions;

[0028] A processor, configured to execute computer-executable instructions stored in a memory to implement any one of the methods described in the first aspect.

[0029] In a fourth aspect, the present application provides a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed, they are used to implement any of the methods in the first aspect.

[0030] In a fifth aspect, the present application provides a computer program product, including a computer program, which implements any method in the first aspect when executed.

[0031] The sound leakage evaluation method, device, equipment, storage medium and program product provided in the present application obtain the sound leakage volume value of the audio device to be tested, as well as the sound leakage clarity index of the audio device to be tested, and further determine the sound leakage evaluation result of the audio device to be tested based on the sound leakage volume value and the sound leakage clarity index. In this process, by combining the two dimensions of the sound leakage volume value and the sound leakage clarity index of the audio device to be tested, a comprehensive evaluation is performed on the sound leakage of the audio device to be tested, so that the sound leakage evaluation of the audio device to be tested is more accurate and comprehensive, thereby improving the accuracy of the sound leakage evaluation results; in addition, through more accurate sound leakage evaluation results, R&D personnel can more effectively optimize the design of audio equipment, thereby reducing unnecessary sound leakage, thereby meeting users' needs for high-quality audio experience and privacy protection. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0033] Figure 1 A schematic diagram of an application scenario of a sound leakage evaluation method provided for an exemplary embodiment of the present application;

[0034] Figure 2 A schematic diagram of the deployment of an artificial head provided for an exemplary embodiment of the present application;

[0035] Figure 3 A schematic diagram of a flow chart of a sound leakage evaluation method provided for an exemplary embodiment of the present application;

[0036] Figure 4 A schematic diagram of the human hearing audio range provided for an exemplary embodiment of the present application;

[0037] Figure 5 A schematic diagram of a pronunciation window provided for an exemplary embodiment of the present application;

[0038] Figure 6 A schematic diagram of a sound leakage evaluation device provided for an exemplary embodiment of the present application;

[0039] Figure 7 A schematic diagram of the structure of an electronic device provided for an exemplary embodiment of the present application.

[0040] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0041] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0042] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, and need not be used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchangeable in appropriate circumstances, so that the embodiments of the present application described herein can be implemented in a sequence other than those illustrated or described herein, for example. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, the process, system, product or equipment comprising a series of steps or units need not be limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, products or equipment.

[0043] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant laws, regulations and standards, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0044] In the related art, when conducting sound leakage evaluation of the audio device to be tested, only the dimension of the sound leakage volume value is considered, and the clarity of the leaked sound is not considered to be a key factor in protecting user privacy, resulting in the problem of low accuracy of the evaluation results.

[0045] In order to solve the above problems, the embodiment of the present application provides a sound leakage evaluation solution, which is based on the dual needs of user privacy protection and minimization of environmental interference, and combines the two dimensions of leakage volume and leakage clarity index to comprehensively evaluate the sound leakage of the audio device to be tested, so that the sound leakage evaluation of the audio device to be tested is more accurate and comprehensive, thereby improving the accuracy of the sound leakage evaluation results; through more accurate sound leakage evaluation results, R&D personnel can more effectively optimize the design of audio equipment, thereby reducing unnecessary sound leakage, and thus meeting users' needs for high-quality audio experience and privacy protection.

[0046] Figure 1 Schematic diagram of an application scenario of the sound leakage evaluation method provided by the exemplary embodiment of the present application. Figure 1 As shown, the application scenario includes a processing device, a Bluetooth module, an audio device to be tested, an artificial ear, a test amplifier, and a sound card, etc. The processing device and the Bluetooth module, and the processing device and the sound card are connected via a Universal Serial Bus (USB for short); the artificial ear refers to an artificial ear on a simulated human body trunk (referred to as an artificial head for short). Figure 2 The following is a schematic diagram of the deployment of an artificial head provided by an exemplary embodiment of the present application. Figure 2As shown, 21 is a circular guide rail, 22 is a platform for placing an artificial head that can be raised and lowered and rotated left and right, 23 is a forward and backward sliding rail, 24 is a support frame for placing a microphone (MIC) bracket that can be raised and lowered, and 25 is a MIC bracket. Figure 1 The application scenario diagram shown in the figure connects the processing equipment, sound card and test amplifier, and Figure 2 The deployment diagram of the artificial head shown in the figure places the artificial head on the platform 22, connects the audio device to be tested via the Bluetooth module, and wears the audio device to be tested on the artificial ear of the artificial head to simulate the situation where a person actually wears the audio device to be tested; further, according to the test requirements of the sound leakage evaluation, adjust Figure 2 The position of each component in the test, such as the test height, test distance, test orientation and the number of test points (i.e., the number of deployed test MICs), etc. The test distance can be set to a value between 30-50cm, for example; in addition, in some test scenarios, the test MIC and other equipment need to be calibrated. In actual applications, when the processing device receives the sound leakage evaluation instruction, it executes the sound leakage evaluation method provided in this application to obtain the sound leakage evaluation result for the audio device to be tested.

[0047] It should be noted that the processing device can also be replaced by an audio analyzer, a server, a server cluster or other computing devices with a certain computing power. The test MIC can also be replaced by a sound sensor, etc.

[0048] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0049] Figure 3 A flow chart of a sound leakage evaluation method provided by an exemplary embodiment of the present application. Figure 3 As shown, the sound leakage evaluation method includes the following steps:

[0050] S301: Obtain the sound leakage volume value of the audio device to be tested.

[0051] For example, Figure 1 As shown, the processing device sets the volume of the audio device to be tested to the maximum volume (i.e., 100% volume) through the Bluetooth module; the processing device sets the maximum signal amplitude and sends a sweep signal of a target frequency range to the audio device to be tested, wherein the target frequency range is, for example, 20Hz-20kHz; and through Figure 2The test MICs set at the points of the MIC bracket collect sound pressure level data at the corresponding points; further, based on the sound pressure level data, the leakage volume value of the audio device to be tested is determined.

[0052] S302: Obtain a sound leakage clarity index of the audio device to be tested.

[0053] Among them, speech clarity describes the user's ability to recognize and understand speech signals. There are many ways to quantify speech clarity, among which the Articulation Index (AI) is mainly used to evaluate the speech clarity in the communication channel. Therefore, this application uses this index to measure the leakage sound clarity of the audio device under test.

[0054] In some embodiments, obtaining the leakage sound clarity index of the audio device under test includes: obtaining first sound pressure level data of a first target point under target background noise; obtaining second sound pressure level data of a second target point while the audio device under test plays the target corpus at a first volume; obtaining third sound pressure level data of the second target point while the audio device under test plays the target corpus at a second volume; determining the leakage sound clarity index of the audio device under test based on the first sound pressure level data, the second sound pressure level data, and the third sound pressure level data; wherein the first target point and the second target point are arranged adjacent to the audio device under test.

[0055] For example, a speaker is placed in a soundproof room to play specific background noise (such as noise in subways, restaurants, etc.). Figure 2 ,pass Figure 2 The test MIC set on the first target point on the MIC bracket in the embodiment collects the first sound pressure level data under the background noise, wherein the first target point is set near the audio device to be tested; the speaker stops playing the background noise, and the processing device sets the audio device to be tested to play the target corpus at, for example, 100% volume through the Bluetooth module, and Figure 2 A test MIC arranged at a second target point on the MIC bracket collects second sound pressure level data, wherein the second target point is arranged adjacent to the audio device to be tested; the processing device sets the audio device to be tested to play the target corpus at, for example, 20% volume through the Bluetooth module, and collects third sound pressure level data through the test MIC arranged at the second target point; further, based on the first sound pressure level data, the second sound pressure level data and the third sound pressure level data, the sound leakage clarity index of the audio device to be tested is determined.

[0056] It should be noted that the first target point and the second target point are only examples. Figure 2 The same point on the MIC bracket in the figure may also refer to different points, and the number of the first target point and the second target point may be multiple, which is not limited here.

[0057] S303: Determine a sound leakage evaluation result of the audio device to be tested based on the sound leakage volume value and the sound leakage clarity index.

[0058] For example, according to a pre-set standard, the sound leakage volume value and the sound leakage clarity index are combined to determine the sound leakage evaluation result of the audio device to be tested. Accordingly, the sound leakage evaluation results can be divided into multiple levels, such as "excellent", "good", "average" and "poor", and these levels can be defined by setting thresholds for the sound leakage volume value and the clarity index. For example, if the sound leakage volume value is lower than a certain threshold and the sound leakage clarity index is lower than a certain threshold, the sound leakage performance of the audio device to be tested can be rated as "excellent". Furthermore, the sound leakage evaluation results are output in the form of charts and text reports, and provided to the R&D team of the audio device to be tested, etc. The report may include detailed evaluation data, analysis process and final sound leakage performance level, etc., so that the R&D personnel can further optimize and improve the design of the audio device to be tested.

[0059] The sound leakage evaluation method provided in the embodiment of the present application comprehensively evaluates the sound leakage situation of the audio device to be tested by combining the two dimensions of the sound leakage volume value and the sound leakage clarity index of the audio device to be tested, so that the sound leakage evaluation of the audio device to be tested is more accurate and comprehensive, thereby improving the accuracy of the sound leakage evaluation results; in addition, through more accurate sound leakage evaluation results, R&D personnel can more effectively optimize the design of audio equipment, thereby reducing unnecessary sound leakage, and thus meeting users' needs for high-quality audio experience and privacy protection.

[0060] In some embodiments, a sound leakage clarity index of the audio device to be tested is determined based on first sound pressure level data, second sound pressure level data, and third sound pressure level data, including: determining an octave spectrum of the first sound pressure level data within a target test frequency range based on the first sound pressure level data; determining a pronunciation window of the audio device to be tested based on the second sound pressure level data, the third sound pressure level data, and the target test frequency range; determining a coverage value of each octave contained in the target octave range based on the octave spectrum and the pronunciation window, wherein the target octave range is determined based on the target test frequency range; determining the sound leakage clarity index of the audio device to be tested based on the coverage value of each octave contained in the target octave range and the octave weight factor.

[0061] For example, Figure 4 A schematic diagram of the human hearing audio range provided for an exemplary embodiment of the present application. Figure 4 As shown, the horizontal axis represents frequency in kilohertz (kHz), and the vertical axis represents amplitude in decibels (dB); Figure 4The area corresponding to the hearing audio range represents the frequencies and amplitudes that humans can perceive, and the area corresponding to the speech audio range represents the frequencies and amplitudes produced by normal human speech. Considering that humans can perceive sounds of 20Hz-20kHz, and the frequency range produced by human speech is relatively narrow, and taking into account the impact of high frequencies on speech clarity and some special circumstances, the target test frequency range is set to 20Hz-9kHz.

[0062] Further, considering that when the background noise reaches a certain intensity, the background noise can drown out other sounds including human voices, this phenomenon is called masking, which means that other sounds are drowned out by the background noise, causing other sounds to be inaudible, and therefore, the masking effect prevents the clear communication of language. In order to evaluate the masking ability of background noise, it can be decomposed into multiple frequency ranges that simulate the characteristics of human hearing. Taking into account the structural characteristics of the cochlea, the human ear tends to distribute sounds into specific frequency bands, which are called octave bands. Correspondingly, when calculating the sound leakage clarity index, the sound level of one-third octave covering 20Hz to 9000Hz is used. For example, Table 1 is an example of each octave included in the target octave range provided by the exemplary embodiment of the present application. As shown in Table 1, each octave included in the target octave range corresponds to a one-third octave bandwidth, and each octave corresponds to a center frequency.

[0063] Table 1

[0064] One-third octave bandwidth (Hz) Center frequency (Hz) 20-180 160 180-224 200 224-280 250 280-355 315 355-450 400 450-560 500 560-710 630 710-900 800 900-1120 1000 1120-1400 1250 1400-1800 1600 1800-2240 2000 2240-2800 2500 2800-3550 3150 3550-4500 4000 4500-5600 5000 5600-7100 6300 7100-9000 8000

[0065] For example, an A-weighted filter is applied to perform weighted processing on the first sound pressure level data to obtain A-weighted sound pressure level data; the A-weighted sound pressure level data is subjected to octave analysis, the entire frequency range is divided into a number of octave bands, and the sound pressure level in each band is calculated. Specifically, the signal can be decomposed by digital signal processing technology, such as Fast Fourier Transform (FFT), and the sound pressure level of each octave band can be obtained by a filter group or mathematical calculation; accordingly, in combination with the target octave range, the sound pressure level corresponding to each octave contained in the target octave range is retained, thereby obtaining the octave spectrum of the first sound pressure level data under the target test frequency range. Among them, A-weighting is a standardized frequency weighting curve that simulates the human ear's perception sensitivity to sounds of different frequencies. A-weighting will reduce the influence of low frequencies and extremely high frequencies, so that the processing result is more in line with the auditory perception of the human ear.

[0066] Accordingly, based on the second sound pressure level data and the third sound pressure level data, the average sound pressure level of each octave is calculated according to each octave included in the target octave range, and the upper limit and lower limit of the sound pressure level corresponding to each octave are obtained, thereby determining the pronunciation window of the audio device to be tested. For example, Figure 5 Schematic diagram of a pronunciation window provided for an exemplary embodiment of the present application. Figure 5 As shown in the figure, the area indicated by the arrow is the pronunciation window. Figure 5 The pronunciation window shown is only an example, and the specific form of the pronunciation window is not limited here.

[0067] Furthermore, based on the octave spectrum and the pronunciation window, the coverage value of each octave included in the target octave range shown in Table 1 is determined, and based on the coverage value of each octave and the octave weight factor, the sound leakage clarity index of the audio device to be tested is determined.

[0068] In some embodiments, the sound leakage clarity index satisfies the following formula:

[0069]

[0070] Among them, B 1 is the sound leakage clarity index, n is the number of octaves contained in the target octave range, F i is the coverage value of the i-th octave included in the target octave range, Q i is the octave weight factor of the i-th octave. For example, for each octave included in the target octave range as shown in Table 1, n is 18, F 1 Indicates the coverage value of the first octave 20Hz-180Hz, Q 1 is the octave weight factor for the first octave band 20Hz-180Hz.

[0071] In the embodiment of the present application, an octave spectrum and a pronunciation window are determined based on the first sound pressure level data, the second sound pressure level data and the third sound pressure level data, and based on the octave spectrum and the pronunciation window, the sound leakage characteristics in different frequency ranges are more carefully evaluated, thereby determining the sound leakage clarity index of the audio device to be tested, so that the obtained sound leakage clarity index can more comprehensively capture the sound leakage characteristics of the audio device to be tested, thereby improving the accuracy of the sound leakage clarity index, and further improving the accuracy of the sound leakage evaluation results.

[0072] In some embodiments, based on the octave spectrum and the pronunciation window, the coverage value of each octave included in the target octave range is determined, including: for each octave included in the target octave range, comparing the sound pressure level value corresponding to the octave in the octave spectrum, the upper limit value and the lower limit value of the sound pressure level corresponding to the octave in the pronunciation window; and determining the coverage value of the octave according to the numerical relationship between the sound pressure level value, the upper limit value and the lower limit value of the sound pressure level.

[0073] For example, for each octave included in the target octave range, for example, 180Hz-224Hz, the sound pressure level value corresponding to 180Hz-224Hz in the octave spectrum, the upper limit value and the lower limit value of the sound pressure level corresponding to 180Hz-224Hz in the pronunciation window are compared to determine the degree to which the pronunciation window corresponding to 180Hz-224Hz is "covered". For example, if the sound pressure level value exceeds the upper limit value of the sound pressure level (i.e. Figure 5 The upper limit of 180Hz-224Hz in the sound pressure level is completely covered; if the sound pressure level value is between the upper limit of the sound pressure level and the lower limit of the sound pressure level (i.e. Figure 5 If the pronunciation window of the octave band is between 180Hz and 224Hz corresponding to the lower limit, the pronunciation window of the octave band is partially "covered"; further, the coverage value of the octave band is determined according to the coverage degree.

[0074] In some embodiments, the coverage value of the octave is determined according to the numerical relationship between the sound pressure level value, the upper limit value of the sound pressure level and the lower limit value of the sound pressure level, including: if the sound pressure level value is greater than or equal to the upper limit value of the sound pressure level, the coverage value of the octave is determined to be 0; if the sound pressure level value is less than or equal to the lower limit value of the sound pressure level, the coverage value of the octave is determined to be 1; if the sound pressure level value is greater than the lower limit value of the sound pressure level and less than the upper limit value of the sound pressure level, the difference between the upper limit value of the sound pressure level and the sound pressure level value is obtained, and the coverage value of the octave is determined according to the ratio of the difference to the lower limit value of the sound pressure level.

[0075] Among them, for each octave included in the target octave range, when the sound pressure level value is greater than or equal to the upper limit of the sound pressure level, it means that the pronunciation window corresponding to the octave is covered; when the sound pressure level value is less than or equal to the lower limit of the sound pressure level, it means that the pronunciation window corresponding to the octave is not covered; when the sound pressure level value is greater than the lower limit of the sound pressure level and less than the upper limit of the sound pressure level, it means that the pronunciation window corresponding to the octave is partially covered. When determining the coverage value of the octave, specifically, the difference between the upper limit of the sound pressure level and the sound pressure level value can be determined first, and then the coverage value of the octave can be determined according to the ratio of the difference to the lower limit of the sound pressure level. For example, if the sound pressure level value of a specific octave is 70dB, the upper limit of the sound pressure level is 90dB, and the lower limit of the sound pressure level is 60dB, then the coverage value of the specific octave is determined to be 0.333 or one third; or, based on a preset rule, if the sound pressure level value of a specific octave is 10dB higher than the lower limit of the sound pressure level, then the coverage value of the specific octave is determined to be 0.666 or two thirds.

[0076] In the embodiment of the present application, the octave coverage value can be determined by simply comparing the numerical relationship between the sound pressure level value, the upper limit value of the sound pressure level and the lower limit value of the sound pressure level, thereby simplifying the calculation process and improving the real-time processing capability, thereby making the sound leakage evaluation of the audio device to be tested more efficient.

[0077] In some embodiments, the octave weight factor is determined by: obtaining speech content in the target corpus; determining the gender of the pronunciation object corresponding to the speech content based on the speech content; and determining the octave weight factor to be the octave weight factor corresponding to the gender of the pronunciation object.

[0078] For example, Table 2 is an example of weight factors corresponding to one-third octaves provided by the exemplary embodiment of the present application. As shown in Table 2, the weight factors corresponding to each octave add up to 100%; the weight factors for men and women are slightly different, but the overall trend is similar; the weight factors pay more attention to the octaves that are critical to human speech, as shown in Table 2, the octave range with the largest weight (i.e., weight factors>7%) is 900Hz to 2800Hz.

[0079] Table 2

[0080]

[0081]

[0082] For example, taking the first octave 20Hz-180Hz included in the target octave range as an example, the speech content corresponding to the octave in the target corpus is obtained, the speech content is analyzed using speech recognition technology, relevant speech features are extracted, and the gender of the pronunciation object is determined through speech feature analysis, such as using a machine learning model to identify the gender of the pronunciation object. Correspondingly, if the gender of the pronunciation object is male, the octave weight factor is determined to be the male weight factor corresponding to the octave, such as 2.81%; if the gender of the pronunciation object is female, the octave weight factor is determined to be the female weight factor corresponding to the octave, such as 8.10%; if the gender of the pronunciation object includes male and female, the octave weight factor is determined to be the average weight factor corresponding to the octave, such as 5.46%.

[0083] The embodiment of the present application introduces octave weight factors corresponding to males and females by taking into account the difference in frequency of pronunciation between males and females, and determines the octave weight factors corresponding to each octave according to the gender of the pronunciation object, thereby further improving the accuracy of the sound leakage evaluation results.

[0084] Considering that in the related art, when conducting sound leakage evaluation of open audio devices, only the leakage volume value of a single point is considered. Due to the propagation characteristics of sound, the sound leakage may show significant differences at different points. The leakage volume value of a single point cannot fully reflect the sound leakage characteristics of the audio device under test in different usage environments. Relying only on the leakage volume value of a single point will lead to low accuracy of the evaluation results.

[0085] Therefore, in some embodiments, obtaining the leakage sound volume value of the audio device under test includes: obtaining fourth sound pressure level data of multiple points during the audio device under test playing audio, and the multiple points are set adjacent to the audio device under test; based on the fourth sound pressure level data of the multiple points, determining the leakage sound volume value of the audio device under test.

[0086] For example, using Figure 2 According to the movement and rotation characteristics of the components in the test device, test MICs are installed at multiple points on the MIC bracket 25, so as to perform sound leakage tests on multiple points in the horizontal and vertical directions of the audio device to be tested, thereby obtaining sound pressure level data at multiple points.

[0087] On the basis of the above embodiments, in some embodiments, multiple points correspond to different directions and different heights, and based on the fourth sound pressure level data of the multiple points, the leakage volume value of the audio device to be tested is determined, including: obtaining a weight factor of each of the multiple points; based on the weight factor of each of the multiple points and the fourth sound pressure level data, determining the leakage volume value of the audio device to be tested.

[0088] For example, still refer to Figure 2For example, 7 points are set on the MIC bracket 25, and the 7 points correspond to different directions and different heights. The weight factors corresponding to the 7 points are K 1 , K 2 , ... and K 7 Among them, the weight factors corresponding to each point are pre-set according to experimental simulation and measured data. Correspondingly, if the fourth sound pressure level data corresponding to the 7 points are SPL 1 、SPL 2 , ... and SPL 7 , then the leakage volume value A of the audio device to be tested 1 Satisfies the following formula:

[0089] A1=K 1 SPL 1 +K 2 SPL 2 +……+K 7 SPL 7

[0090] The embodiments of the present application, by considering the sound pressure level data of multiple points at different directions and heights and integrating the sound pressure level data of multiple points, can more accurately reflect the sound leakage characteristics of the audio device under test in the actual usage environment, so that the sound leakage evaluation of the audio device under test is more comprehensive and accurate, thereby improving the accuracy of the sound leakage evaluation results.

[0091] When performing sound leakage tests on different types of audio devices under test, differences in device performance may result in different sound pressure level data output at the same volume, thereby affecting the accuracy of horizontal comparison. Therefore, in some embodiments, when testing different types of audio devices under test, before obtaining the fourth sound pressure level data of multiple points, it also includes: calibrating the reference signal amplitude of the test signal sent to the audio device under test to determine the calibrated reference signal amplitude; based on the reference signal amplitude, sending a sweep signal of the target frequency range to the audio device under test, and the audio device under test plays audio according to the sweep signal.

[0092] For example, according to Figure 1 The application scenario diagram shown in the figure connects the processing equipment, sound card and test amplifier, and Figure 2The deployment diagram of the artificial head shown in the figure places the artificial head on the platform 22, connects the audio device to be tested through the Bluetooth module, sets the volume of the audio device to be tested to the maximum volume (i.e., 100% volume) through the Bluetooth module, and wears the audio device to be tested on the artificial ear of the artificial head to simulate the situation where a person actually wears the audio device to be tested; sends a constant frequency signal of, for example, 1kHz to the audio device to be tested through a processing device such as an audio analyzer; collects sound pressure level data through a test MIC set near the audio device to be tested, and the audio analyzer monitors the change of the sound pressure level data at the simulated ear according to the sound pressure level data, repeatedly adjusts the signal amplitude through the audio analyzer until the sound pressure level data detected by the test MIC reaches, for example, 94dB, stops adjusting the signal amplitude, and sets the signal amplitude of the audio analyzer at this time as the reference signal amplitude. When performing sound leakage tests on different types of audio devices to be tested, it is necessary to calibrate the reference signal amplitude of each type of audio device to be tested to ensure the accuracy of the sound leakage test.

[0093] Correspondingly, after the reference signal amplitude is determined, a sweep frequency signal of a target frequency range is sent to the audio device to be tested, wherein the target frequency range is, for example, 20 Hz-20 kHz; Figure 2 A plurality of test MICs are arranged at points of the MIC bracket in the apparatus, and sound pressure level data of the corresponding points are collected; further, based on the sound pressure level data of each point, the leakage volume value of the audio device to be tested is determined.

[0094] In the embodiment of the present application, by calibrating the reference signal amplitude, it can be ensured that all audio devices under test are subjected to sound leakage tests under the same reference conditions, thereby reducing the test deviation caused by differences in device performance and making the sound leakage test results between different types of audio devices under test comparable.

[0095] In some embodiments, a sound leakage evaluation result of the audio device to be tested is determined based on a sound leakage volume value and a sound leakage clarity index, including: determining a sound leakage performance index value of the audio device to be tested based on the sound leakage volume value and the sound leakage clarity index; determining a sound leakage evaluation result of the audio device to be tested based on the sound leakage performance index value and a sound leakage performance index reference value.

[0096] For example, Table 3 is an example of sound leakage of an audio device provided by an exemplary embodiment of the present application.

[0097] Table 3

[0098] Serial number Sound leakage 1 Loud sound leakage + clear sound leakage 2 The sound leakage is loud and the sound leakage is not clear 3 Low sound volume + unclear sound 4 Low sound leakage volume + clear sound leakage

[0099] In some embodiments, a sound leakage performance index value of the audio device to be tested is determined based on a sound leakage volume value and a sound leakage clarity index, including: determining a first ratio of the sound leakage volume value to a sound leakage volume reference value; determining a second ratio of the sound leakage clarity index to the sound leakage clarity index reference value; and determining the sound leakage performance index value of the audio device to be tested based on the first ratio and the second ratio.

[0100] For example, the sound leakage performance index value satisfies the following formula:

[0101] L=(A 1 / A 2 )+(B 1 / B 2 )

[0102] Among them, L is the sound leakage performance index value, A 1 is the leakage volume value, A 2 is the reference value of sound leakage volume, B 1 is the sound leakage clarity index, B 2 It is the reference value of the sound leakage clarity index; the reference value of the sound leakage volume ranges from 50dB to 65dB, and the reference value of the sound leakage clarity index ranges from 30% to 50%. For example, the reference value of the sound leakage volume is 55dB, and the reference value of the sound leakage clarity index is 40%.

[0103] Further, according to the sound leakage performance index value and the sound leakage performance index reference value, the sound leakage evaluation result of the audio device to be tested is determined. For example, Table 4 is an example of the sound leakage performance evaluation of the audio device provided by the exemplary embodiment of the present application.

[0104] Table 4

[0105] L≥2 Poor sound leakage prevention performance 1.5≤L＜2 Poor sound leakage prevention performance 1＜L＜1.5 Good sound leakage prevention performance L≤1 Good sound leakage prevention performance

[0106] Correspondingly, as shown in Table 4, if L≥2, the anti-sound leakage performance of the audio device to be tested is poor; if 1.5≤L<2, the anti-sound leakage performance of the audio device to be tested is poor; if 1<L<1.5, the anti-sound leakage performance of the audio device to be tested is good; if L≤1, the anti-sound leakage performance of the audio device to be tested is good.

[0107] It should be noted that the sound leakage performance evaluation of the audio device shown in Table 4 is only an example. In actual applications, it can be set according to the specific type of the audio device, the usage environment and the user needs, and is not limited here.

[0108] The embodiments of the present application combine the sound leakage volume value and the sound leakage clarity index to achieve a comprehensive evaluation of the sound leakage performance of the audio device under test, thereby more accurately reflecting the sound leakage situation of the audio device under test in actual use; in addition, by determining the sound leakage performance index value, the sound leakage performance is quantified into a comparable value, making the sound leakage evaluation result of the audio device under test more intuitive.

[0109] In summary, this application has at least the following advantages:

[0110] 1. By combining the two dimensions of the sound leakage volume value and the sound leakage clarity index of the audio device under test, a comprehensive evaluation is conducted on the sound leakage situation of the audio device under test, making the sound leakage evaluation of the audio device under test more accurate and comprehensive, thereby improving the accuracy of the sound leakage evaluation results; in addition, through more accurate sound leakage evaluation results, R&D personnel can more effectively optimize the design of audio equipment, thereby reducing unnecessary sound leakage, and thus meeting users' needs for high-quality audio experience and privacy protection.

[0111] Second, by considering the difference in pronunciation frequency between men and women, we introduce the octave weight factors corresponding to men and women, and determine the octave weight factors corresponding to each octave according to the gender of the pronunciation object, so as to further improve the accuracy of the sound leakage evaluation results.

[0112] 3. By considering the sound pressure level data of multiple points at different directions and heights, and combining the sound pressure level data of multiple points, the sound leakage characteristics of the audio device under test in the actual usage environment can be more accurately reflected, making the sound leakage evaluation of the audio device under test more comprehensive and accurate, thereby improving the accuracy of the sound leakage evaluation results.

[0113] Figure 6 A schematic diagram of a sound leakage evaluation device provided by an exemplary embodiment of the present application. Figure 6 As shown, the sound leakage evaluation device 60 includes a first acquisition module 61, a second acquisition module 62 and a determination module 63, wherein:

[0114] A first acquisition module 61 is used to obtain a sound leakage volume value of the audio device to be tested;

[0115] A second acquisition module 62 is used to obtain a sound leakage clarity index of the audio device to be tested;

[0116] The determination module 63 is used to determine the sound leakage evaluation result of the audio device to be tested based on the sound leakage volume value and the sound leakage clarity index.

[0117] In a possible implementation, the second acquisition module 62 may be specifically used to: acquire first sound pressure level data of a first target point under target background noise; acquire second sound pressure level data of a second target point while the audio device under test plays the target corpus at a first volume; acquire third sound pressure level data of the second target point while the audio device under test plays the target corpus at a second volume; determine a leakage sound clarity index of the audio device under test based on the first sound pressure level data, the second sound pressure level data, and the third sound pressure level data; wherein the first target point and the second target point are arranged adjacent to the audio device under test.

[0118] In a possible implementation, the second acquisition module 62 may also be used to: determine the octave spectrum of the first sound pressure level data within the target test frequency range based on the first sound pressure level data; determine the pronunciation window of the audio device to be tested based on the second sound pressure level data, the third sound pressure level data and the target test frequency range; determine the coverage value of each octave contained in the target octave range based on the octave spectrum and the pronunciation window, the target octave range is determined based on the target test frequency range; determine the sound leakage clarity index of the audio device to be tested based on the coverage value of each octave contained in the target octave range and the octave weight factor.

[0119] In a possible implementation manner, the sound leakage clarity index satisfies the following formula:

[0120]

[0121] Among them, B 1 is the sound leakage clarity index, n is the number of octaves contained in the target octave range, F i is the coverage value of the i-th octave included in the target octave range, Q i is the octave weight factor of the i-th octave band.

[0122] In a possible implementation, the second acquisition module 62 can also be used to: compare, for each octave included in the target octave range, the sound pressure level value corresponding to the octave in the octave spectrum, the sound pressure level upper limit value and the sound pressure level lower limit value corresponding to the octave in the pronunciation window; and determine the coverage value of the octave based on the numerical relationship between the sound pressure level value, the sound pressure level upper limit value and the sound pressure level lower limit value.

[0123] In a possible implementation, the second acquisition module 62 may also be used to: if the sound pressure level value is greater than or equal to the upper limit value of the sound pressure level, determine that the octave coverage value is 0; if the sound pressure level value is less than or equal to the lower limit value of the sound pressure level, determine that the octave coverage value is 1; if the sound pressure level value is greater than the lower limit value of the sound pressure level and less than the upper limit value of the sound pressure level, obtain the difference between the upper limit value of the sound pressure level and the sound pressure level value, and determine the octave coverage value based on the ratio of the difference to the lower limit value of the sound pressure level.

[0124] In a possible implementation, the octave weight factor is determined in the following manner: obtaining speech content in the target corpus; determining the gender of the pronunciation object corresponding to the speech content based on the speech content; and determining the octave weight factor to be the octave weight factor corresponding to the gender of the pronunciation object.

[0125] In a possible implementation, the first acquisition module 61 may be specifically used to: acquire fourth sound pressure level data of multiple points during audio playback by the audio device under test, where the multiple points are arranged adjacent to the audio device under test; and determine the leakage sound volume value of the audio device under test based on the fourth sound pressure level data of the multiple points.

[0126] In a possible implementation, multiple points correspond to different directions and different heights, and the first acquisition module 61 can also be used to: obtain a weight factor of each of the multiple points; and determine the leakage volume value of the audio device to be tested based on the weight factor of each of the multiple points and the fourth sound pressure level data.

[0127] In a possible implementation, when testing different types of audio devices under test, before obtaining the fourth sound pressure level data of multiple points, the first acquisition module 61 can also be used to: perform a reference signal amplitude calibration on the test signal sent to the audio device under test, and determine the calibrated reference signal amplitude; based on the reference signal amplitude, send a sweep signal of a target frequency range to the audio device under test, and the audio device under test plays audio according to the sweep signal.

[0128] In a possible implementation, the determination module 63 may be specifically used to: determine the sound leakage performance index value of the audio device to be tested based on the sound leakage volume value and the sound leakage clarity index; and determine the sound leakage evaluation result of the audio device to be tested according to the sound leakage performance index value and the sound leakage performance index reference value.

[0129] In a possible implementation, the determination module 63 can also be used to: determine a first ratio of the leakage volume value to the leakage volume reference value; determine a second ratio of the leakage clarity index to the leakage clarity index reference value; and determine the leakage performance index value of the audio device to be tested based on the first ratio and the second ratio.

[0130] The sound leakage evaluation device provided in the embodiment of the present application can execute the technical solution shown in the above-mentioned sound leakage evaluation method embodiment. Its implementation principle and beneficial effects are similar and will not be repeated here.

[0131] It should be noted that it should be understood that the division of the various modules of the above device is only a division of logical functions. In actual implementation, they can be fully or partially integrated into one physical entity, or they can be physically separated. And these modules can all be implemented in the form of software called by processing elements; they can also be all implemented in the form of hardware; some modules can also be implemented in the form of software called by processing elements, and some modules can be implemented in the form of hardware. For example, the determination module can be a separately established processing element, or it can be integrated in a chip of the above device. In addition, it can also be stored in the memory of the above device in the form of program code, and called and executed by a processing element of the above device. The implementation of other modules is similar. In addition, these modules can be fully or partially integrated together, or they can be implemented independently. The processing element here can be an integrated circuit with signal processing capabilities. In the implementation process, each step of the above method or each module above can be completed by an integrated logic circuit of hardware in the processor element or instructions in the form of software.

[0132] For example, the above modules may be one or more integrated circuits configured to implement the above methods, such as one or more application specific integrated circuits (ASIC), or one or more microprocessors (DSP), or one or more field programmable gate arrays (FPGA). For another example, when a module is implemented in the form of a processing element scheduling program code, the processing element may be a general-purpose processor, such as a central processing unit (CPU) or other processor that can call program code. For another example, these modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).

[0133] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loading and executing computer instructions on a computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website site, a computer, a server or a data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (Digital Subscriber Line, referred to as DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server, a data center, etc. that contains one or more available media integrated. Available media may be magnetic media (eg, floppy disks, hard disks, magnetic tapes), optical media (eg, Digital Video Discs (DVDs)), or semiconductor media (eg, solid state disks (SSDs)).

[0134] Figure 7 The schematic diagram of the structure of the electronic device provided by the exemplary embodiment of the present application. Figure 7 As shown, the electronic device 70 of this embodiment includes:

[0135] At least one processor 71; and a memory 72 communicatively connected to the at least one processor;

[0136] The memory 72 stores instructions that can be executed by the at least one processor 71, and the instructions are executed by the at least one processor 71 to enable the electronic device to execute the method described in any of the above embodiments.

[0137] Optionally, the memory 72 may be independent or integrated with the processor 71 .

[0138] The memory 72 may include a high-speed random access memory (RAM), and may also include a non-volatile memory, such as at least one disk memory.

[0139] The processor 71 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application. Specifically, when implementing the sound leakage evaluation method described in the aforementioned method embodiment, the electronic device may be, for example, an electronic device with processing functions such as a server.

[0140] Optionally, the electronic device may further include a communication interface 73. In a specific implementation, if the communication interface 73, the memory 72 and the processor 71 are implemented independently, the communication interface 73, the memory 72 and the processor 71 may be interconnected through a bus and communicate with each other. The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc., but it does not mean that there is only one bus or one type of bus.

[0141] Optionally, in a specific implementation, if the communication interface 73, the memory 72 and the processor 71 are integrated on a chip, the communication interface 73, the memory 72 and the processor 71 can communicate through an internal interface.

[0142] The implementation principle and technical effects of the electronic device provided in this embodiment can be found in the aforementioned embodiments and will not be described in detail here.

[0143] An embodiment of the present application also provides a computer-readable storage medium, in which computer execution instructions are stored. When the computer execution instructions are executed, they are used to implement the method steps in the above method embodiment. The specific implementation method and technical effect are similar and will not be repeated here.

[0144] The above-mentioned computer readable storage medium can be implemented by any type of volatile or non-volatile storage device or a 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 storage, flash memory, magnetic disk or optical disk. The readable storage medium can be any available medium that can be accessed by a general or special-purpose computer.

[0145] An exemplary readable storage medium is coupled to the processor so that the processor can read information from the readable storage medium and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can be located in a dedicated integrated circuit. Of course, the processor and the readable storage medium can also exist as discrete components in the sound leakage evaluation device.

[0146] The embodiment of the present application also provides a computer program product, including a computer program. When the computer program is executed, the method steps in the above method embodiment are implemented. The specific implementation method and technical effect are similar and will not be repeated here.

[0147] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. The present application is intended to cover any modification, use or adaptation of the present application, which follows the general principles of the present application and includes common knowledge or customary techniques in the art that are not disclosed in the present application. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present application are indicated by the following claims.

[0148] It should be understood that the present application is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A sound leakage evaluation method, characterized in that: include: Get the sound leakage volume value of the audio device under test; Obtaining a sound leakage clarity index of the audio device to be tested; A sound leakage evaluation result of the audio device to be tested is determined based on the sound leakage volume value and the sound leakage clarity index.

2. The sound leakage evaluation method according to claim 1, characterized in that: The step of obtaining the sound leakage clarity index of the audio device to be tested includes: Under target background noise, obtaining first sound pressure level data of a first target point; Acquiring second sound pressure level data of a second target point during the process of the audio device to be tested playing the target language material at the first volume; Acquiring third sound pressure level data of the second target point during the process of the audio device to be tested playing the target language material at a second volume; Determine a sound leakage clarity index of the audio device to be tested based on the first sound pressure level data, the second sound pressure level data, and the third sound pressure level data; Wherein, the first target point and the second target point are arranged adjacent to the audio device to be tested.

3. The sound leakage evaluation method according to claim 2, characterized in that: The step of determining the sound leakage clarity index of the audio device to be tested based on the first sound pressure level data, the second sound pressure level data, and the third sound pressure level data includes: Based on the first sound pressure level data, determining an octave frequency spectrum of the first sound pressure level data within a target test frequency range; Determining a pronunciation window of the audio device to be tested based on the second sound pressure level data, the third sound pressure level data and the target test frequency range; Determining, based on the octave spectrum and the pronunciation window, coverage values ​​of each octave included in a target octave range, wherein the target octave range is determined according to the target test frequency range; Based on the coverage value of each octave included in the target octave range and the octave weight factor, the sound leakage clarity index of the audio device to be tested is determined.

4. The sound leakage evaluation method according to claim 3, characterized in that: The sound leakage clarity index satisfies the following formula: Wherein, B1 is the sound leakage clarity index, n is the number of octaves contained in the target octave range, and F i is the coverage value of the i-th octave included in the target octave range, Q i is the octave weight factor of the i-th octave band.

5. The sound leakage evaluation method according to claim 3, characterized in that: The step of determining the coverage value of each octave included in the target octave range based on the octave spectrum and the pronunciation window includes: For each octave included in the target octave range, comparing the sound pressure level value corresponding to the octave in the octave spectrum, the upper limit value of the sound pressure level and the lower limit value of the sound pressure level corresponding to the octave in the pronunciation window; The coverage value of the octave band is determined according to the numerical relationship between the sound pressure level value, the sound pressure level upper limit value and the sound pressure level lower limit value.

6. The sound leakage evaluation method according to claim 5, characterized in that: The determining the coverage value of the octave according to the numerical relationship between the sound pressure level value, the sound pressure level upper limit value and the sound pressure level lower limit value comprises: If the sound pressure level value is greater than or equal to the sound pressure level upper limit value, determining the coverage value of the octave band to be 0; If the sound pressure level value is less than or equal to the sound pressure level lower limit value, determining the coverage value of the octave to be 1; If the sound pressure level value is greater than the sound pressure level lower limit value and less than the sound pressure level upper limit value, obtain the difference between the sound pressure level upper limit value and the sound pressure level value, and determine the coverage value of the octave band according to the ratio of the difference to the sound pressure level lower limit value.

7. The sound leakage evaluation method according to claim 3, characterized in that: The octave weighting factors are determined as follows: Acquiring speech content in the target corpus; Determine, according to the speech content, the gender of the pronunciation object corresponding to the speech content; The octave weighting factor is determined to be the octave weighting factor corresponding to the gender of the pronunciation object.

8. The sound leakage evaluation method according to any one of claims 1 to 7, characterized in that: The step of obtaining the sound leakage volume value of the audio device to be tested includes: During the audio playing process of the audio device to be tested, obtaining fourth sound pressure level data of a plurality of points, where the plurality of points are arranged adjacent to the audio device to be tested; Based on the fourth sound pressure level data of the multiple points, a sound leakage volume value of the audio device to be tested is determined.

9. The sound leakage evaluation method according to claim 8, characterized in that: The multiple points correspond to different directions and different heights, and determining the sound leakage volume value of the audio device to be tested based on the fourth sound pressure level data of the multiple points includes: Obtaining a weight factor for each of the multiple points; Based on the weight factor of each point in the multiple points and the fourth sound pressure level data, a sound leakage volume value of the audio device to be tested is determined.

10. The sound leakage evaluation method according to claim 8, characterized in that: When testing different types of audio devices to be tested, before obtaining the fourth sound pressure level data of multiple points, the method further includes: Performing reference signal amplitude calibration on the test signal sent to the audio device to be tested, and determining the calibrated reference signal amplitude; Based on the reference signal amplitude, a frequency sweep signal within a target frequency range is sent to the audio device under test, and the audio device under test plays audio according to the frequency sweep signal.

11. The sound leakage evaluation method according to any one of claims 1 to 7, characterized in that: The determining, based on the sound leakage volume value and the sound leakage clarity index, a sound leakage evaluation result of the audio device to be tested includes: Determining a sound leakage performance index value of the audio device to be tested based on the sound leakage volume value and the sound leakage clarity index; A sound leakage evaluation result of the audio device to be tested is determined according to the sound leakage performance index value and the sound leakage performance index reference value.

12. The sound leakage evaluation method according to claim 11, characterized in that: The determining, based on the sound leakage volume value and the sound leakage clarity index, a sound leakage performance index value of the audio device to be tested includes: Determine a first ratio of the sound leakage volume value to a sound leakage volume reference value; Determining a second ratio of the sound leakage clarity index to a sound leakage clarity index reference value; A sound leakage performance index value of the audio device to be tested is determined according to the first ratio and the second ratio.

13. A sound leakage evaluation device, characterized in that: include: A first acquisition module is used to obtain the sound leakage volume value of the audio device to be tested; A second acquisition module is used to obtain a sound leakage clarity index of the audio device to be tested; A determination module is used to determine a sound leakage evaluation result of the audio device to be tested based on the sound leakage volume value and the sound leakage clarity index.

14. An electronic device, characterized in that: include: A processor, and a memory communicatively connected to the processor; The memory is used to store computer-executable instructions; The processor is configured to execute the computer-executable instructions to implement the method according to any one of claims 1 to 12.

15. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 12 when executed.

16. A computer program product comprising a computer program, characterized in that When the computer program is executed, the method according to any one of claims 1 to 12 is implemented.

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