A hearing aid howling detection method and related device, kit and storage medium

Abstract

The present application discloses a hearing aid howling detection method and related devices, kits and storage media. The method includes obtaining an audio signal collected by an artificial ear mold wearing a hearing aid to be tested; wherein the artificial ear mold can be configured with at least one ear mold parameter of ear mold material, ear mold temperature, and ear mold structure, and the hearing aid to be tested can be configured with at least one device parameter of ear plug structure, shell material, and touch condition; based on the audio signal, an analysis is performed to obtain a frequency curve; based on the frequency curve, it is determined whether the hearing aid to be tested currently has howling. The above scheme can improve the accuracy of howling detection without damaging the hearing health of the tester in the scenario where the wearing of a hearing aid in the human ear affects the detection of whether the hearing aid has howled.

Description

Technical Field

[0001] The present application relates to the field of audio processing technology, and in particular to a hearing aid howling detection method, a howling detection kit and a storage device. Background Art

[0002] With the popularization of knowledge on deafness rehabilitation, more and more people are paying attention to their hearing health. As the times progress, hearing aids have also undergone tremendous changes.

[0003] In the process of developing hearing aids, the problem of howling is inevitable. In order to prevent howling from occurring during wearing due to the reflection of sound by the human body, especially the ears, when the user wears the hearing aid, the hearing aid needs to be tested in the ear before it leaves the factory. Current howling detection is usually performed by the tester directly wearing the hearing aid. If howling occurs during the test, the hearing health of the tester will be greatly damaged, and the subjective judgment of whether howling occurs by the tester will cause a certain error in the result of howling detection. In view of this, how to not damage the hearing health of the tester and improve the accuracy of howling detection in the scenario where the wearing of hearing aids on the human ear affects the detection of whether howling occurs in the hearing aid has become an urgent problem to be solved. Summary of the invention

[0004] The main technical problem solved by the present application is to provide a hearing aid howling detection method and related devices, kits and storage media.

[0005] In order to solve the above technical problems, the first aspect of the present application provides a hearing aid howling detection method, including: obtaining an audio signal collected by an artificial ear mold wearing a hearing aid to be tested; wherein the artificial ear mold can be configured with at least one ear mold parameter of ear mold material, ear mold temperature, and ear mold structure, and the hearing aid to be tested can be configured with at least one device parameter of ear plug structure, shell material, and touch condition; analyzing based on the audio signal to obtain a frequency curve; based on the frequency curve, determining whether the hearing aid to be tested currently has howling.

[0006] In order to solve the above technical problems, the second aspect of the present application provides a hearing aid howling detection device, including: an acquisition module, used to obtain an audio signal collected by an artificial ear mold wearing a hearing aid to be tested; wherein the artificial ear mold can adjust at least one ear mold parameter among the ear mold material, ear mold temperature, and ear mold structure, and the hearing aid to be tested can adjust at least one device parameter among the ear plug structure, shell material, and touch condition; an analysis module, used to analyze based on the audio signal to obtain a frequency curve; a determination module, used to determine whether the hearing aid to be tested currently has howling based on the frequency curve.

[0007] In order to solve the above-mentioned technical problems, the third aspect of the present application provides a hearing aid howling detection kit, including an artificial ear mold and a hearing aid howling detection device, the artificial ear mold is used to wear the hearing aid to be tested, the hearing aid howling detection device is connected to the artificial ear mold to detect whether the hearing aid to be tested currently has howling based on the audio signal collected by the artificial ear mold, the hearing aid howling detection device includes a memory and a processor coupled to each other, the memory stores program instructions, and the processor is used to execute the program instructions to implement the hearing aid howling detection method in the above-mentioned first aspect.

[0008] In order to solve the above technical problem, the fourth aspect of the present application provides a computer-readable storage medium storing program instructions that can be executed by a processor, wherein the program instructions are used to implement the hearing aid howling detection method of the above first aspect.

[0009] The above scheme obtains the audio signal collected by the artificial ear mold wearing the hearing aid to be tested, wherein the artificial ear mold can be configured with at least one ear mold parameter of the ear mold material, ear mold temperature, and ear mold structure, and the hearing aid to be tested can be configured with at least one device parameter of the ear plug structure, shell material, and touch condition. The audio signal is analyzed to obtain a frequency curve, and based on the frequency curve, it is determined whether the hearing aid to be tested currently has howling. Through the above method, an artificial ear mold is used to wear the hearing aid to be tested, the audio signal of the hearing aid to be tested is collected and analyzed, and it is determined whether the hearing aid to be tested currently has howling. In addition, the artificial ear mold can adjust different ear mold parameters, and the hearing aid to be tested can also adjust different device parameters. By configuring different ear mold parameters and device parameters, it is possible to detect whether the hearing aid to be tested has howling in different application scenarios. During the test, a large number of testers are not required to wear the hearing aid to be tested, and it is not necessary to judge whether the hearing aid to be tested has howling through subjective judgment of the testers. Therefore, in the scenario where the wearing of hearing aids on the human ear affects whether the hearing aid has howling, the hearing health of the testers is not damaged and the accuracy of howling detection is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 It is a flowchart of an embodiment of a hearing aid howling detection method of the present application;

[0011] Figure 2 It is a schematic diagram of the framework of an embodiment of a hearing aid howling detection device of the present application;

[0012] Figure 3 It is a schematic diagram of the framework of an embodiment of a hearing aid howling detection device of the present application;

[0013] Figure 4 It is a schematic diagram of the framework of an embodiment of a hearing aid howling detection kit of the present application;

[0014] Figure 5 It is a schematic diagram of a framework of an embodiment of a computer-readable storage medium of the present application. DETAILED DESCRIPTION

[0015] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0016] The terms "system" and "network" are often used interchangeably in this article. The term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship. In addition, "many" in this article means two or more than two.

[0017] See also Figure 1 , Figure 1 This is a flow chart of an embodiment of a hearing aid howling detection method of the present application. Specifically, it may include the following steps:

[0018] Step S100: obtaining an audio signal collected by an artificial ear mold wearing the hearing aid to be tested.

[0019] In the disclosed embodiment, the artificial ear mold can be worn with the hearing aid to be tested and the audio signal of the hearing aid to be tested can be collected through the artificial ear mold. Before collecting the audio signal of the hearing aid to be tested, the artificial ear mold can be configured based on the ear mold configuration information and / or the hearing aid to be tested can be configured based on the device configuration information. The audio signals collected under different configuration conditions are different. Through the above method, the hearing aid to be tested is worn through the artificial ear mold, and the hearing health of the tester can be avoided from being damaged in the scenario where the hearing aid worn by the human ear has an impact on the detection of whether the hearing aid has a howling. Moreover, by simulating a variety of scenarios by configuring the ear mold configuration information of the artificial ear mold and / or configuring the device configuration information of the hearing aid to be tested, and collecting the audio signal of the hearing aid to be tested in a variety of scenarios, the howling detection of the hearing aid to be tested can be met in the actual use scenario, and a large number of testers and a variety of different adaptation scenarios are not required for howling detection, so the efficiency of howling detection can be improved.

[0020] In a specific implementation scenario, the artificial ear mold can be configured with at least one ear mold parameter of ear mold material, ear mold temperature, and ear mold structure, and the hearing aid to be tested can be configured with at least one device parameter of ear plug structure, shell material, and touch condition. By configuring the ear mold parameters of the artificial ear mold and / or configuring the device parameters of the hearing aid to be tested, considering that in different implementation scenarios, the environmental factors of wearing hearing aids and the device conditions of the hearing aids to be worn are different, it is possible to simulate different scenarios to detect whether the hearing aid to be tested will howl. Through the above method, the howling detection of the hearing aid to be tested in the actual use scenario can be met, and a large number of testers and a variety of different adaptation scenarios are not required for howling detection, so the efficiency of howling detection can be improved, and the use of manpower can be reduced, and the cost of howling detection of the hearing aid to be tested can be reduced.

[0021] In a specific implementation scenario, the artificial ear mold is a simulation model device obtained based on the structure of a real human ear. The structure of the artificial ear mold may include: a simulated auricle, a simulated external auditory canal, simulated auditory ossicles, a simulated tympanic membrane and a simulated auditory nerve. The simulated auricle is arranged at the outermost part of the artificial ear mold structure, the simulated external auditory canal is arranged on one side of the simulated auricle, and a simulated auditory nerve is arranged at the other end of the simulated external auditory canal. The simulated auditory ossicles are arranged at the upper end of the connection between the simulated external auditory canal and the simulated auditory nerve. The simulated tympanic membrane is a thin film structure, and the simulated tympanic membrane is arranged inside the simulated external auditory canal. The simulated tympanic membrane divides the simulated external auditory canal into two parts, and a sensor is arranged in the simulated external auditory canal and close to one end of the simulated auricle. One end of the sensor is connected to the simulated tympanic membrane for collecting audio information of the artificial ear mold, and the other end is connected to a howling detection device. The collected audio information is analyzed by the howling detection device to determine whether the hearing aid to be tested produces howling. In the above manner, an artificial ear mold is used to simulate a real human ear wearing a hearing aid, and audio information of the hearing aid to be tested is obtained. The tester does not need to wear the hearing aid to be tested, which can avoid damaging the tester's hearing when the hearing aid to be tested whistles.

[0022] In a specific implementation scenario, the ear mold material of the artificial ear mold can be configured. Since the sound hole of the soft ear mold makes the high-frequency sound smooth after multiple refractions when the sound passes through, the sound passing through the soft ear mold is relatively soft, and the low-frequency sound is easier to pass through the soft ear mold, while the high-frequency sound passing through the hard ear mold will be refracted very frequently, causing sound distortion and more likely to cause howling. The hardness value of the ear mold material can be changed through configuration. Specifically, the material of the artificial ear mold can use electrostrictive materials. The electrostrictive material can change the hardness of the material itself according to the configuration information when it is externally conductive, or use silicone materials with different hardness to make a suitable number of artificial ear molds with different hardnesses, and manually configure the artificial ear molds with hardness corresponding to the configuration information according to the configuration information. In the above manner, by configuring the hardness value of the ear mold material of the artificial ear mold and performing howling detection on the hearing aid to be tested, the adaptability of the hearing aid in different application scenarios can be improved, and the probability of howling in the hearing aid can be reduced.

[0023] In a specific implementation scenario, the ear mold temperature of the artificial ear mold can be configured. In actual applications, the temperature of the ear of a person wearing a hearing aid will change due to changes in the ambient temperature. Generally speaking, the temperature of the human ear will experience a range of 40 degrees Celsius to minus 10 degrees Celsius. During the wearing process, the change in temperature will also have a certain impact on whether the hearing aid will howl. The temperature of the artificial ear mold can be changed through configuration. Specifically, a temperature control element can be configured in the artificial ear mold, and the corresponding temperature can be reached through an external conductive configuration element according to the configuration information, thereby changing the temperature of the artificial ear mold, or the artificial ear mold can be placed in a space where the temperature can be controlled, and the ambient temperature can be changed according to the configuration information, thereby changing the temperature of the artificial ear mold. In the above method, by configuring the temperature value of the artificial ear mold and performing howling detection on the hearing aid to be tested, the adaptability of the hearing aid in different application scenarios can be improved, and the probability of the hearing aid howling can be reduced.

[0024] In a specific implementation scenario, the ear mold structure of the artificial ear mold can be configured. The artificial ear mold made according to the human ear has a complete triangular fossa concha cavity, which includes the tragus, concha cavity and helix. The surface of the artificial ear mold will have wrinkles and grooves that simulate the real human ear. During the test, the artificial ear mold with small structural reflection and smooth surface is less likely to cause howling when wearing a hearing aid, and the artificial ear mold with large structural reflection and rough surface is easy to cause howling when wearing a hearing aid. The ear mold structure of the artificial ear mold can be changed through configuration. The artificial ear mold with small structural reflection and smooth surface has low structural complexity, and the artificial ear mold with large structural reflection and rough surface has high structural complexity. Specifically, a stretching structure can be designed at several points of the artificial ear mold, and the degree of stretching can be changed according to the configuration information to reduce or increase the complexity of the ear mold structure, or a suitable number of artificial ear molds with different structural complexities can be made, and the artificial ear molds with the complexity corresponding to the configuration information can be manually configured according to the configuration information. The above method, by configuring the structural complexity of the artificial ear mold and performing howling detection on the hearing aid to be tested, can improve the adaptability of the hearing aid in different application scenarios and reduce the probability of howling of the hearing aid.

[0025] In a specific implementation scenario, the earplug structure of the hearing aid to be tested can be configured, and different earplug structures have different adaptability to the hearing aid to be tested. Earplugs with appropriate size and strong sealing have higher adaptability to the hearing aid to be tested, and earplugs with high adaptability are not easy to cause the sound in the hearing aid to leak out and cause the hearing aid to howl. The adaptability of the earplug structure of the hearing aid to be tested can be changed through configuration. Specifically, a suitable number of earplugs with different adaptability to the hearing aid to be tested can be made, and the earplug structure with the adaptability corresponding to the configuration information can be manually configured according to the configuration information. In the above method, by configuring the adaptability of the earplug structure of the hearing aid to be tested and performing howling detection on the hearing aid to be tested, the adaptability of the hearing aid in different application scenarios can be improved, and the probability of howling in the hearing aid can be reduced.

[0026] In a specific implementation scenario, the shell material of the hearing aid to be tested can be configured. Different materials will result in different acoustic transmittances of the shell of the hearing aid to be tested. The acoustic transmittances of materials such as ceramics and plastics are low, while the acoustic transmittances of metal materials are high. Shell materials with high acoustic transmittances will pick up the sound of the hearing aid, thereby causing the hearing aid to howl. The acoustic transmittance of the shell material of the hearing aid to be tested can be changed through configuration. Specifically, hearing aids to be tested with different shell materials can be manufactured, and the shell material with the acoustic transmittance corresponding to the configuration information can be manually configured according to the configuration information. In the above manner, by configuring the acoustic transmittance of the shell material of the hearing aid to be tested and performing howling detection on the hearing aid to be tested, the adaptability of the hearing aid in different application scenarios can be improved, and the probability of the hearing aid to howl can be reduced.

[0027] In a specific implementation scenario, the touch conditions of the hearing aid to be tested can be configured. When wearing or using a hearing aid, it is inevitable that parts of the body will touch the hearing aid. When the microphone of the hearing aid or certain positions of the hearing aid shell are touched, the hearing aid will also be triggered to howl. The complexity of the touch conditions of the hearing aid to be tested can be changed through configuration. Specifically, several points in the hearing aid shell can be set to change the complexity of the current touch conditions according to the configuration information. In the above manner, by configuring the complexity of the touch conditions of the hearing aid to be tested and performing howling detection on the hearing aid to be tested, the adaptability of the hearing aid in different application scenarios can be improved and the probability of howling of the hearing aid can be reduced.

[0028] In a specific implementation scenario, an artificial ear mold is configured based on the ear mold configuration information and / or the hearing aid to be tested is configured based on the device configuration information. The complexity of the configuration information is determined according to the current test environment. Multiple different ear mold parameters and / or device parameters can be configured at the same time, or only one of the parameters can be configured. There is no limitation on this. The specific configuration method can be found in the description above. For the sake of brevity, it will not be repeated here.

[0029] Step S200: Analyze the audio signal to obtain a frequency curve.

[0030] In the disclosed embodiment, the audio signal transmitted by the artificial ear mold is collected, and the audio signal is analyzed and processed to obtain a real-time frequency curve of the audio signal. Before analyzing the frequency signal of the current audio signal, a large number of sample audio signals can be collected in advance. By analyzing the frequency curve of the sample audio signal, the minimum frequency value of the audio signal when the hearing aid to be tested is howling is obtained, and the frequency threshold when the hearing aid to be tested is howling is set based on the obtained minimum frequency value. Through the above method, during the test process, it is not necessary to determine whether the hearing aid to be tested is howling through subjective judgment of the tester, and the frequency threshold of the hearing aid to be tested is obtained based on a large amount of sample data. By obtaining the frequency curve of the audio signal of the current hearing aid to be tested and comparing it with the frequency threshold, it can be determined whether the hearing aid to be tested is howling. Therefore, the accuracy of howling detection can be improved in the scenario where the hearing aid worn by the human ear has an impact on the detection of whether the hearing aid is howling.

[0031] Step S300: Determine whether the hearing aid to be tested is currently experiencing howling based on the frequency curve.

[0032] In the disclosed embodiment, after obtaining the frequency curve of the audio signal of the hearing aid to be tested, the peak value corresponding to the peak point in the frequency curve is detected, and the peak value in the current frequency curve is compared with the obtained frequency threshold to determine whether the hearing aid to be tested is currently howling. In the above manner, the hearing aid to be tested is worn with an artificial ear mold, the audio signal of the hearing aid to be tested is collected and obtained and analyzed to determine whether the hearing aid to be tested is currently howling, and the artificial ear mold can adjust different ear mold parameters, and the hearing aid to be tested can also adjust different device parameters. By configuring different ear mold parameters and device parameters, it is possible to detect whether the hearing aid to be tested is howling in different application scenarios. During the test, a large number of testers are not required to wear the hearing aid to be tested, and it is not necessary to judge whether the hearing aid to be tested is howling through subjective judgment of the testers. Therefore, in the scenario where the wearing of hearing aids on the human ear affects the detection of whether the hearing aid is howling, the hearing health of the testers is not damaged, and the accuracy of howling detection is improved.

[0033] In a specific implementation scenario, based on the comparison between the frequency threshold and the peak value, in response to the peak value being not less than the frequency threshold, it can be determined that the hearing aid under test is currently experiencing howling, and the device parameters of the hearing aid under test and the ear mold parameters of the artificial ear mold under test when the howling occurs are recorded, and the obtained parameters are fed back to the R&D department. In the above manner, the device parameters configured when the hearing aid under test is experiencing howling and the ear mold parameters of the corresponding artificial ear mold are obtained, and the parameters are fed back to the relevant R&D department. The R&D department can debug and optimize the hearing aid under test according to the parameters of the current howling, thereby reducing the workload of the R&D department and making the debugging and optimization work more targeted.

[0034] In another specific implementation scenario, based on the comparison between the frequency threshold and the peak value, in response to the peak value being less than the frequency threshold, it can be determined that the hearing aid to be tested is not currently experiencing howling, and the ear mold configuration information and / or the device configuration information are updated. After the relevant configuration information is updated, the steps of configuring the artificial ear mold based on the ear mold configuration information and / or configuring the hearing aid to be tested based on the device configuration information and subsequent steps are re-executed. In the above manner, the artificial ear mold can adjust different ear mold parameters, and the hearing aid to be tested can also adjust different device parameters. By configuring different ear mold parameters and device parameters, it is possible to detect whether the hearing aid to be tested is experiencing howling in different application scenarios, thereby improving the accuracy of howling detection.

[0035] In a specific implementation scenario, updating the ear mold configuration information includes at least one of the following: updating the hardness value representing the ear mold material in the ear mold configuration information to be larger; updating the temperature value representing the ear mold temperature in the ear mold configuration information to be lower; updating the complexity representing the ear mold structure in the ear mold configuration information to be higher, and updating the device configuration information includes at least one of the following: updating the adaptability representing the ear plug structure in the device configuration information to be lower; updating the sound transmission representing the shell material in the device configuration information to be higher; updating the complexity representing the touch condition in the device configuration information to be higher. In the above manner, the ear mold parameters and / or device parameters are updated, and the hearing aid to be tested is more likely to howl after the parameters are updated, so that the detection of whether the hearing aid to be tested has howled in different application scenarios can be achieved, thereby improving the accuracy of howling detection.

[0036] In another specific implementation scenario, the change of the frequency curve of the current hearing aid to be tested compared to the frequency curve when the howling detection was performed last time can be obtained, and a prediction is made based on the change to obtain a first update trend of the ear mold configuration information and a second update trend of the device configuration information, and the ear mold configuration information is updated according to the first update trend with a first update step, and the device configuration information is updated according to the second update trend with a second update step. Through the above method, when howling does not occur, according to the change of the frequency curve at this time, the change trend of the ear mold parameters and the device parameters can be predicted, and the configuration information can be updated based on the change trend. Therefore, howling detection can be realized in multiple scenarios for the hearing aid to be tested according to a certain rule of updating configuration information, thereby improving the accuracy of howling detection and the efficiency of howling detection.

[0037] The above scheme obtains the audio signal collected by the artificial ear mold wearing the hearing aid to be tested, wherein the artificial ear mold can be configured with at least one ear mold parameter of the ear mold material, ear mold temperature, and ear mold structure, and the hearing aid to be tested can be configured with at least one device parameter of the ear plug structure, shell material, and touch condition. The audio signal is analyzed to obtain a frequency curve, and based on the frequency curve, it is determined whether the hearing aid to be tested currently has howling. Through the above method, an artificial ear mold is used to wear the hearing aid to be tested, the audio signal of the hearing aid to be tested is collected and analyzed, and it is determined whether the hearing aid to be tested currently has howling. In addition, the artificial ear mold can adjust different ear mold parameters, and the hearing aid to be tested can also adjust different device parameters. By configuring different ear mold parameters and device parameters, it is possible to detect whether the hearing aid to be tested has howling in different application scenarios. During the test, a large number of testers are not required to wear the hearing aid to be tested, and it is not necessary to judge whether the hearing aid to be tested has howling through subjective judgment of the testers. Therefore, in the scenario where the wearing of hearing aids on the human ear affects whether the hearing aid has howling, the hearing health of the testers is not damaged and the accuracy of howling detection is improved.

[0038] See also Figure 2 , Figure 2 It is a schematic diagram of the framework of an embodiment of a hearing aid howling detection device 20 of the present application. The hearing aid howling detection device 20 comprises an acquisition module 201, an analysis module 202 and a determination module 203 connected in sequence, wherein the acquisition module 201 is used to acquire an audio signal collected by an artificial ear mold wearing the hearing aid to be tested, and the artificial ear mold can adjust at least one ear mold parameter among the ear mold material, ear mold temperature, and ear mold structure, and the hearing aid to be tested can adjust at least one device parameter among the ear plug structure, shell material, and touch condition; the analysis module 202 is used to analyze based on the audio signal to obtain a frequency curve; the determination module 203 is used to determine whether the hearing aid to be tested currently has howling based on the frequency curve.

[0039] The above scheme obtains the audio signal collected by the artificial ear mold wearing the hearing aid to be tested, wherein the artificial ear mold can be configured with at least one ear mold parameter of the ear mold material, ear mold temperature, and ear mold structure, and the hearing aid to be tested can be configured with at least one device parameter of the ear plug structure, shell material, and touch condition. The audio signal is analyzed to obtain a frequency curve, and based on the frequency curve, it is determined whether the hearing aid to be tested currently has howling. Through the above method, an artificial ear mold is used to wear the hearing aid to be tested, the audio signal of the hearing aid to be tested is collected and analyzed, and it is determined whether the hearing aid to be tested currently has howling. In addition, the artificial ear mold can adjust different ear mold parameters, and the hearing aid to be tested can also adjust different device parameters. By configuring different ear mold parameters and device parameters, it is possible to detect whether the hearing aid to be tested has howling in different application scenarios. During the test, a large number of testers are not required to wear the hearing aid to be tested, and it is not necessary to judge whether the hearing aid to be tested has howling through subjective judgment of the testers. Therefore, in the scenario where the wearing of hearing aids on the human ear affects whether the hearing aid has howling, the hearing health of the testers is not damaged and the accuracy of howling detection is improved.

[0040] In some disclosed embodiments, the hearing aid howling detection device 20 also includes an ear mold configuration module for configuring an artificial ear mold based on the ear mold configuration information. The hearing aid howling detection device 20 also includes a device configuration module for configuring the hearing aid to be tested based on the device configuration information. The hearing aid howling detection device 20 also includes an information update module and a loop execution module. The information update module is used to update the ear mold configuration information and the device configuration information in response to the fact that the hearing aid to be tested currently does not have howling. The loop execution module is used to combine the ear mold configuration module and other modules to re-execute the step of configuring the artificial ear mold based on the ear mold configuration information and subsequent steps.

[0041] Therefore, the artificial ear mold can be configured with different ear mold parameters, and the hearing aid to be tested can also be configured with different device parameters. By configuring different ear mold parameters and device parameters, it is possible to detect whether the hearing aid to be tested has howling in different application scenarios, thereby improving the accuracy of howling detection.

[0042] In some disclosed embodiments, the hearing aid howling detection device 20 also includes an update prediction module, which is used to obtain the change of the current frequency curve compared to the frequency curve when the howling detection was performed last time and make a prediction based on the change to obtain a first update trend of the ear mold configuration information and a second update trend of the device configuration information. The hearing aid howling detection device 20 also includes an information update module, which is used to update the ear mold configuration information according to the first update trend with a first update step size, and update the device configuration information according to the second update trend with a second update step size.

[0043] Therefore, when howling does not occur, the changing trends of ear mold parameters and device parameters can be predicted according to the changes in the frequency curve at this time, and the configuration information can be updated based on the changing trends. Therefore, howling detection can be achieved in multiple scenarios for the hearing aid to be tested according to certain rules for updating configuration information, thereby improving the accuracy of howling detection and the efficiency of howling detection.

[0044] In some disclosed embodiments, the hearing aid howling detection device 20 further includes a parameter recording module for recording, in response to the hearing aid currently having howling, the device parameters of the hearing aid currently configured and the ear mold parameters of the artificial ear mold currently configured when the howling exists.

[0045] Therefore, by recording the device parameters configured when the hearing aid under test experiences howling and the ear mold parameters of the corresponding artificial ear mold, the parameters can be fed back to the relevant R&D department. The R&D department can debug and optimize the hearing aid under test based on the parameters that currently cause howling, thereby reducing the workload of the R&D department and making the debugging and optimization work more targeted.

[0046] In some disclosed embodiments, the hearing aid howling detection device 20 may further include a sample analysis module for analyzing the minimum frequency value when howling occurs based on a pre-collected sample audio signal, and obtaining a frequency threshold for detecting howling based on the minimum frequency value.

[0047] Therefore, during the test process, whether the hearing aid to be tested has howling does not need to be determined through subjective judgment of the tester, and the frequency threshold of the howling of the hearing aid to be tested is obtained based on a large amount of sample data. By obtaining the frequency curve of the audio signal of the current hearing aid to be tested and comparing it with the frequency threshold, it is possible to determine whether the hearing aid to be tested has howling. Therefore, in the scenario where the wearing of hearing aids on the human ear affects the detection of whether the hearing aid has howling, the accuracy of howling detection can be improved.

[0048] See also Figure 3 , Figure 3 : is a schematic diagram of a framework of an embodiment of a hearing aid howling detection device 30 of the present application. The hearing aid howling detection device 30 includes a memory 31 and a processor 32 coupled to each other, the memory 31 stores program instructions, and the processor 32 is used to execute the program instructions to implement the steps in any of the above-mentioned hearing aid howling detection method embodiments. Specifically, the hearing aid howling detection device 30 may also include a detection circuit (not shown), and the detection circuit also includes a detection end (not shown), which is used to extend into an artificial ear mold to collect audio signals, so that the detection circuit can analyze the collected audio signals to obtain a frequency curve. In addition, the hearing aid howling detection device 30 may also include a control circuit (not shown), and the control circuit also includes a control end (not shown), which is at least used to extend into the artificial ear mold to at least configure the artificial ear mold. For details, please refer to the relevant description in the aforementioned hearing aid howling detection method embodiment, which will not be repeated here.

[0049] Specifically, the processor 32 is used to control itself and the memory 31 to implement the steps in any of the above-mentioned hearing aid howling detection method embodiments. The processor 32 can also be called a CPU (Central Processing Unit). The processor 32 may be an integrated circuit chip with signal processing capabilities. The processor 32 can also be a general-purpose processor, a digital signal processor (Digital Signal Processor, DSP), an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), a field-programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. In addition, the processor 32 can be implemented by an integrated circuit chip.

[0050] See also Figure 4 , Figure 4 1 is a schematic diagram of a framework of an embodiment of a hearing aid howling detection kit 40 of the present application. The hearing aid howling detection kit 40 includes an artificial ear mold 401 and a hearing aid howling detection device 30 connected to each other. The artificial ear mold 401 is used to wear the hearing aid to be tested. The hearing aid howling detection device 30 detects whether the hearing aid to be tested currently has howling based on the audio signal collected by the artificial ear mold.

[0051] The above scheme obtains the audio signal collected by the artificial ear mold wearing the hearing aid to be tested, wherein the artificial ear mold can be configured with at least one ear mold parameter of the ear mold material, ear mold temperature, and ear mold structure, and the hearing aid to be tested can be configured with at least one device parameter of the ear plug structure, shell material, and touch condition. The audio signal is analyzed to obtain a frequency curve, and based on the frequency curve, it is determined whether the hearing aid to be tested currently has howling. Through the above method, an artificial ear mold is used to wear the hearing aid to be tested, the audio signal of the hearing aid to be tested is collected and analyzed, and it is determined whether the hearing aid to be tested currently has howling. In addition, the artificial ear mold can adjust different ear mold parameters, and the hearing aid to be tested can also adjust different device parameters. By configuring different ear mold parameters and device parameters, it is possible to detect whether the hearing aid to be tested has howling in different application scenarios. During the test, a large number of testers are not required to wear the hearing aid to be tested, and it is not necessary to judge whether the hearing aid to be tested has howling through subjective judgment of the testers. Therefore, in the scenario where the wearing of hearing aids on the human ear affects whether the hearing aid has howling, the hearing health of the testers is not damaged and the accuracy of howling detection is improved.

[0052] See also Figure 5 , Figure 5 1 is a schematic diagram of a computer-readable storage medium 50 of the present application. The computer-readable storage medium 50 stores program instructions 51 that can be executed by a processor, and the program instructions 51 are used to implement the steps in any of the above-mentioned hearing aid howling detection method embodiments.

[0053] In some embodiments, the functions or modules included in the device provided by the embodiments of the present disclosure can be used to execute the method described in the above method embodiments. The specific implementation can refer to the description of the above method embodiments, and for the sake of brevity, it will not be repeated here.

[0054] The above description of various embodiments tends to emphasize the differences between the various embodiments. The same or similar aspects can be referenced to each other, and for the sake of brevity, they will not be repeated herein.

[0055] In the several embodiments provided in the present application, it should be understood that the disclosed methods and devices can be implemented in other ways. For example, the device implementation described above is only schematic. For example, the division of modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of devices or units can be electrical, mechanical or other forms.

[0056] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0057] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0058] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) or a processor (processor) to perform all or part of the steps of each implementation method of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program code.

Claims

1. A hearing aid howling detection method, characterized in that: include: Acquire an audio signal collected by an artificial ear mold wearing the hearing aid to be tested; wherein the artificial ear mold can be configured with at least one ear mold parameter of ear mold material, ear mold temperature, and ear mold structure, and the hearing aid to be tested can be configured with at least one device parameter of ear plug structure, shell material, and touch condition; Perform analysis based on the audio signal to obtain a frequency curve; Based on the frequency curve, determining whether the hearing aid to be tested currently has howling; In response to the fact that the hearing aid to be tested currently does not have howling, obtaining a change of the current frequency curve compared to the frequency curve when the howling detection was last performed, and making a prediction based on the change to obtain a first update trend of the ear mold configuration information and a second update trend of the device configuration information; wherein the ear mold configuration information is used to configure the artificial ear mold, and the device configuration information is used to configure the hearing aid to be tested; Update the ear mold configuration information, and update the device configuration information; wherein the ear mold configuration information is updated according to the first update trend with a first update step size, and the device configuration information is updated according to the second update trend with a second update step size.

2. The method according to claim 1, characterized in that Before acquiring the audio signal collected by the artificial ear mold wearing the hearing aid to be tested, the method further includes: configuring the artificial ear mold based on the ear mold configuration information, and configuring the hearing aid to be tested based on the device configuration information; In the case that the hearing aid to be tested does not currently have howling, after updating the device configuration information, the method further includes: Re-execute the step of configuring the artificial ear mold based on the ear mold configuration information and subsequent steps.

3. The method according to claim 1, characterized in that The updating of the ear mold configuration information includes at least one of the following: updating and increasing the hardness value representing the material of the ear mold in the ear mold configuration information; updating the temperature value representing the temperature of the ear mold in the ear mold configuration information to be lower; The complexity of the ear mold structure represented in the ear mold configuration information is updated to be higher.

4. The method according to claim 1, characterized in that: The updating of the device configuration information includes at least one of the following: updating the adaptability of the earplug structure in the device configuration information to be lower; updating the acoustic conductivity representing the material of the housing in the device configuration information to be higher; The complexity of the touch condition represented in the device configuration information is updated to be higher.

5. The method according to claim 1, characterized in that: Before determining whether the hearing aid to be tested currently has howling based on the frequency curve, the method includes: Based on the pre-collected sample audio signal, analyzing the minimum frequency value when howling occurs; Based on the minimum frequency value, a frequency threshold for detecting howling is obtained.

6. The method according to claim 5, characterized in that The determining, based on the frequency curve, whether the hearing aid to be tested currently has howling includes: Detecting a peak value corresponding to a peak point in the frequency curve; Based on the comparison between the peak value and the frequency threshold, it is determined whether the hearing aid to be tested currently has howling.

7. The method according to claim 6, characterized in that The step of comparing the peak value with the frequency threshold to determine whether the hearing aid to be tested currently has howling includes: In response to the peak value being not less than the frequency threshold, determining that the hearing aid to be tested currently has howling; In response to the peak value being less than the frequency threshold, it is determined that the hearing aid to be tested is not currently experiencing howling.

8. A hearing aid howling detection device, characterized in that: include: An acquisition module, for acquiring an audio signal collected by an artificial ear mold wearing the hearing aid to be tested; wherein the artificial ear mold can adjust at least one ear mold parameter of the ear mold material, ear mold temperature, and ear mold structure, and the hearing aid to be tested can adjust at least one device parameter of the ear plug structure, shell material, and touch condition; An analysis module, used for analyzing the audio signal to obtain a frequency curve; A determination module, configured to determine whether the hearing aid to be tested currently has howling based on the frequency curve; An update prediction module is used for obtaining, in response to the fact that the hearing aid to be tested currently does not have howling, a change of the current frequency curve compared with the frequency curve when the howling detection was last performed, and making a prediction based on the change to obtain a first update trend of the ear mold configuration information and a second update trend of the device configuration information; wherein the ear mold configuration information is used to configure the artificial ear mold, and the device configuration information is used to configure the hearing aid to be tested; An information update module is used to update the ear mold configuration information and the device configuration information; wherein the ear mold configuration information is updated according to the first update trend with a first update step size, and the device configuration information is updated according to the second update trend with a second update step size.

9. A hearing aid howling detection kit, characterized in that: It includes an artificial ear mold and a hearing aid howling detection device; wherein the artificial ear mold is used to wear the hearing aid to be tested, and the hearing aid howling detection device is connected to the artificial ear mold to detect whether the hearing aid to be tested currently has howling based on the audio signal collected by the artificial ear mold, and the hearing aid howling detection device includes a memory and a processor coupled to each other, the memory is used to store a computer program, and the processor is used to execute the computer program to implement the hearing aid howling detection method according to any one of claims 1 to 6.

10. A computer-readable storage medium, characterized in that: A computer program is stored, and the computer program can be executed by a processor to implement the hearing aid howling detection method according to any one of claims 1 to 6.

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