Audio output control method for hearing assistance device and related apparatus

By acquiring user hearing and environmental information, hearing aids dynamically adjust their audio output strategies, solving the problem in existing technologies where hearing aids cannot balance listening needs with environmental interference. This enables more flexible and intelligent audio control and expands the application scenarios.

CN122120680APending Publication Date: 2026-05-29SHENZHEN POROS TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHENZHEN POROS TECH CO LTD
Filing Date
2026-04-07
Publication Date
2026-05-29

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Abstract

The application discloses an audio output control method of a hearing aid device and a related device, and the method comprises the following steps: obtaining hearing demand information of a target user; determining a first audio output strategy of the hearing aid device according to the hearing demand information, wherein the first audio output strategy comprises a parameter value corresponding to a first parameter and a parameter value corresponding to a second parameter, the first parameter is an adjustable parameter determined according to the hearing demand information, and the second parameter is a non-adjustable parameter determined according to the hearing demand information; obtaining use environment information of the hearing aid device; determining an interference risk level of the hearing aid device to the use environment according to the use environment information; adjusting the parameter value corresponding to the first parameter to a first parameter value according to the interference risk level; determining a second audio output strategy according to the first parameter value corresponding to the first parameter and the parameter value corresponding to the second parameter; and configuring the hearing aid device to output audio according to the second audio output strategy. The application is beneficial to improving the flexibility and intelligence of the audio output control of the hearing aid device.
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Description

Technical Field

[0001] This application relates to the field of audio output device technology, specifically to an audio output control method and related apparatus for a hearing aid. Background Technology

[0002] The core design of existing hearing aids focuses solely on meeting the listening needs of hearing-impaired users. This is achieved through gain compensation in specific frequency bands to ensure clear sound. However, this design has significant drawbacks: the gain-compensated audio often appears excessively loud and spectrally unbalanced to people with normal hearing, easily causing noise interference. This is particularly problematic in quiet environments like nighttime or shared family spaces, potentially leading to neighborhood disputes or disturbing family members' rest. Furthermore, existing hearing aids lack dynamic adaptability to the usage environment, failing to proactively avoid or reduce interference with the surrounding environment while ensuring optimal listening for hearing-impaired users. This lack of flexibility and intelligence in audio output limits the application scenarios and social acceptance of hearing aids. Summary of the Invention

[0003] This application provides an audio output control method and related apparatus for hearing aids, aiming to balance the listening needs of hearing-impaired users with noise interference from the surrounding environment, and improve the flexibility and intelligence of audio output control of hearing aids.

[0004] In a first aspect, embodiments of this application provide an audio output control method for a hearing aid device, including: Obtain auditory needs information from the target users; A first audio output strategy for the hearing aid device is determined based on the auditory demand information. The first audio output strategy includes: a parameter value corresponding to a first parameter and a parameter value corresponding to a second parameter. The first parameter is an adjustable parameter determined based on the auditory demand information, and the second parameter is a non-adjustable parameter determined based on the auditory demand information. Obtain the environmental information of the hearing aid device; Based on the usage environment information, determine the level of interference risk of the hearing aid device to the usage environment; Based on the interference risk level, the parameter value corresponding to the first parameter is adjusted to the first parameter value; The second audio output strategy is determined based on the first parameter value corresponding to the first parameter and the parameter value corresponding to the second parameter. The hearing aid is configured to output audio according to the second audio output strategy.

[0005] Secondly, embodiments of this application provide an audio output control device for a hearing aid, comprising: The first acquisition unit is used to acquire auditory demand information of the target user; The first determining unit is configured to determine a first audio output strategy for the hearing aid device based on the hearing demand information. The first audio output strategy includes: a parameter value corresponding to a first parameter and a parameter value corresponding to a second parameter. The first parameter is an adjustable parameter determined based on the hearing demand information, and the second parameter is a non-adjustable parameter determined based on the hearing demand information. The second acquisition unit is used to acquire the usage environment information of the hearing aid device; The second determining unit is used to determine the level of interference risk of the hearing aid to the usage environment based on the usage environment information. An adjustment unit is used to adjust the parameter value corresponding to the first parameter to the first parameter value according to the interference risk level. The third determining unit is used to determine the second audio output strategy based on the first parameter value corresponding to the first parameter and the parameter value corresponding to the second parameter; The configuration unit is used to configure the hearing aid to output audio according to the second audio output strategy.

[0006] Thirdly, embodiments of this application provide an electronic device including a processor, a memory, a communication interface, and one or more programs, the one or more programs being stored in the memory and configured to be executed by the processor, the programs including instructions for performing the steps in the first aspect of embodiments of this application.

[0007] Fourthly, embodiments of this application provide a computer-readable storage medium storing a computer program for electronic data interchange, wherein the computer program causes a computer to perform some or all of the steps described in the first aspect of this embodiment.

[0008] Fifthly, this application provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps described in the first aspect of this application. The computer program product may be a software installation package.

[0009] As can be seen, in this embodiment, the hearing aid first acquires the hearing needs information of the target user, and determines a first audio output strategy including a first parameter and a second parameter based on the hearing needs information. The second parameter is a non-adjustable parameter determined based on the hearing needs, which can ensure the core listening needs of the hearing-impaired user and avoid affecting the user's normal listening due to parameter adjustment. The adjustable first parameter reserves adjustment space for subsequent adaptation to the environment and reduction of interference. Then, the hearing aid acquires the usage environment information, determines the interference risk level of the hearing aid to the usage environment based on the usage environment information, and adjusts the parameter value corresponding to the first parameter to the first parameter value according to the interference risk level, improving the fineness of environmental adaptation. Then, based on the adjusted first parameter value and the second parameter value determined based on the hearing needs information, a second audio output strategy is determined, integrating the target user's listening needs and environmental adaptation needs. Finally, the hearing aid is configured to output audio according to the second audio output strategy, realizing a balance between the listening needs of the hearing-impaired user and the interference of ambient noise, improving the flexibility and intelligence of the hearing aid's audio output control. Attached Figure Description

[0010] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0011] Figure 1 This is a schematic diagram of the architecture of a hearing aid device control system provided in an embodiment of this application; Figure 2 This is a flowchart illustrating an audio output control method for a hearing aid device provided in an embodiment of this application; Figure 3 This is a schematic diagram of the parameter dimension configuration page of a hearing aid device associated terminal provided in an embodiment of this application; Figure 4 This is a schematic diagram of another parameter dimension configuration page of the hearing aid device associated terminal provided in this application embodiment; Figure 5 This is a structural block diagram of an electronic device provided in an embodiment of this application; Figure 6 This is a functional unit block diagram of an audio output control device for a hearing aid provided in an embodiment of this application; Figure 7 This is a block diagram of the functional units of an audio output control device for another hearing aid provided in this application embodiment. Detailed Implementation

[0012] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present application.

[0013] The terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or apparatuses.

[0014] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0015] The embodiments of this application will now be described with reference to the accompanying drawings.

[0016] The technical solution of this application can be applied to, for example... Figure 1 The hearing aid control system shown is, specifically, as follows: Figure 1 As shown, the hearing aid control system may include a hearing aid 100, a terminal device 200, and a server 300.

[0017] The hearing aid device 100 is not a traditional medical hearing aid, but rather built upon general audio playback devices such as Bluetooth speakers and TV stereos. Its core feature is the addition of an audio output strategy adjustment module to the hardware of these general playback devices. This module can personalize the original audio based on the hearing loss of the user, thereby outputting optimized audio that matches the user's hearing impairment and provides auditory compensation. Therefore, the hearing aid device 100 combines general audio playback with personalized hearing compensation for hearing-impaired users. It can meet the needs of ordinary users for normal listening while also providing precise audio adjustment for individuals with hearing loss. Furthermore, the hearing aid device 100 can be equipped with an environmental information collection module to gather information such as ambient sound levels, quietness, and the presence of other people. This allows for the comprehensive analysis of the usage environment and the hearing needs of the user (such as hearing loss), determining and configuring the audio output strategy of the hearing aid device 100. This ensures the listening needs of the hearing-impaired user while minimizing noise interference for people with normal hearing in the environment.

[0018] In practical applications, the hearing aid device 100 can be used as a standalone hearing aid speaker, or it can be integrated into smart terminals such as mobile phones, computers, TVs, and car infotainment systems. It can be adapted to various scenarios such as home audio-visual, TV audio, car audio, and outdoor personal listening to meet users' daily needs.

[0019] Specifically, terminal device 200 can be various types of terminal devices such as laptops, tablets, desktop computers, set-top boxes, smartphones, smart speakers, smartwatches, smart TVs, and in-vehicle terminals. Server 300 can be an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks (CDN), and big data and artificial intelligence platforms.

[0020] The server 300, terminal device 200, and hearing aid device 100 can be directly or indirectly connected via wired or wireless communication, and this embodiment does not impose any restrictions.

[0021] For example, in practical applications, hearing aid device 100 can obtain the hearing status parameters of the hearing-impaired user from terminal device 200 through wireless communication modules such as Bluetooth, and process the data using local algorithms to obtain the user's hearing needs information. Subsequently, an audio output strategy is determined based on the hearing needs information. Alternatively, terminal device 200 can also upload hearing status parameters to server 300, which will then synchronize them to hearing aid device 100. No specific restrictions are imposed here.

[0022] Understandable, Figure 1 This is merely an example of a hearing aid control system. In practical applications, the types and number of devices included in a hearing aid control system can be significantly different. Figure 1 different.

[0023] Please see Figure 2 , Figure 2 This is a flowchart illustrating an audio output control method for a hearing aid device provided in an embodiment of this application. This method can be applied to, for example... Figure 1 The hearing aid device in the hearing aid control system shown is, for example, Figure 2 As shown, the audio output control method of this hearing aid device includes: Step S201: Obtain auditory needs information of the target user.

[0024] In practice, the core of step S201 is to obtain information related to the target user's hearing condition and listening needs, so as to provide a basis for determining the subsequent first audio output strategy, and ensure that the output strategy used by the final hearing aid device can match the actual hearing condition and listening needs of the target user, thereby ensuring the core listening effect of the hearing-impaired user.

[0025] Specifically, auditory demand information can be a comprehensive dataset that integrates the target user's preset auditory basic information and the user's current listening demand information collected in real time.

[0026] Among them, the basic auditory information consists of core hearing parameters that are stable over a long period of time and are determined based on the user's hearing test results. Specifically, it may include the target user's hearing loss curve and benchmark gain requirements. The hearing loss curve can be generated according to the pure tone audiometry (PTA) standard, covering hearing loss data at multiple standard frequency points of 125Hz, 250Hz, 500Hz, 750Hz, 1000Hz, 1500Hz, 2000Hz, 3000Hz, 4000Hz, 6000Hz, and 8000Hz. The hearing loss value at each frequency point is expressed in decibel hearing levels of 0-120dB HL. The benchmark gain requirements may specifically include the basic gain values ​​of each frequency band determined in combination with the user's hearing loss curve, the minimum gain threshold that allows the user to hear sounds clearly, and the basic volume benchmark that is adapted to the user's degree of hearing loss.

[0027] Current listening needs information consists of dynamic parameters that change based on usage scenarios and audio content. Specifically, this may include the characteristics of the currently playing audio content and the user's real-time listening preferences. Real-time listening preferences may include audio content-related preferences, personalized volume adjustments, temporary emphasis on frequency band gain, and playback mode-related preferences. For example, audio content-related preferences might include a user wanting slightly higher high-frequency gain to highlight details when playing music, enhanced mid-frequency gain to improve clarity when listening to audio / TV audio, and reduced overall gain when listening to white noise. Personalized volume adjustments are instantaneous adjustments based on a baseline gain; for example, a user might want to increase the volume at home and decrease it in a public setting. Temporary emphasis on frequency band gain might manifest as a user wanting to enhance mid-frequency gain in the 1000-3000Hz range to emphasize vocals, or reducing gain in frequencies below 500Hz to avoid a muffled low-frequency sound. Playback mode-related preferences might include increasing surround sound-related frequency band gain when selecting cinema mode, and reducing overall frequency band gain and limiting high-frequency output when selecting sleep mode.

[0028] In practice, when acquiring the hearing needs information of the target user, the hearing aid can retrieve basic hearing information such as the user's hearing loss curve and reference gain requirements from local storage, associated servers, or directly from the user's terminal device via the wireless communication module. By identifying the type and frequency band distribution of the audio to be played by the hearing aid, and by receiving the user's real-time listening preferences from the associated server or user terminal device, the real-time listening needs information of the target user can be obtained. The acquired basic hearing information and real-time listening needs information are then fused to form a standardized user hearing needs dataset. In this dataset, the core listening parameters that the user must ensure, such as the gain threshold of key frequency bands, are clearly defined, thus determining the range of parameters that cannot be adjusted for subsequent output strategy adjustments (i.e., determining the second parameter).

[0029] In practical applications, users can input hearing loss data from hearing test reports and their baseline gain requirements, as well as other basic auditory information, into the hearing aid's supporting system via connected mobile phones, computers, and other terminal devices. This information is stored locally on the terminal device or on a cloud server. The hearing aid can quickly acquire this information via Bluetooth or wireless communication and can store it locally for later use as needed. Furthermore, the aforementioned basic auditory information can be updated by the user based on changes in their hearing condition. Current listening needs information can be collected by the hearing aid or obtained from the mobile terminal or server. For example, the hearing aid can automatically identify the characteristics of the currently playing audio through its own audio analysis module. It also supports users inputting real-time listening preferences through the terminal device's accompanying application, the hearing aid's physical buttons, and voice commands.

[0030] Step S202: Determine the first audio output strategy of the hearing aid device based on the hearing demand information.

[0031] The first audio output strategy includes: a parameter value corresponding to a first parameter and a parameter value corresponding to a second parameter, wherein the first parameter is an adjustable parameter determined based on the auditory demand information, and the second parameter is a non-adjustable parameter determined based on the auditory demand information.

[0032] The first audio output strategy is a basic audio output scheme adapted to the auditory needs of the target user. It can provide personalized audio compensation for the target user's hearing loss to ensure their basic listening ability. The first parameter reserves adjustment space for subsequent environmental adaptation and interference reduction, while the second parameter is a key parameter to ensure the user's core listening effect and is not adjusted with changes in the environment.

[0033] In practice, the hearing aid device can perform calculations and analyses on the hearing demand information based on the standardized user hearing demand dataset formed in step S201, generate a personalized frequency response curve that matches the hearing loss characteristics of the target user, and determine the basic parameter system of audio output based on this. Then, from the list of candidate parameters that the hearing aid device supports adjustment, according to the target user's core listening parameter range, it divides the non-adjustable second parameter and the adjustable first parameter, and determines the initial parameter values ​​for the two types of parameters that are adapted to the user's hearing needs, and integrates them to form the first audio output strategy.

[0034] Among them, the core listening parameter range of the target user can be, for example, the key frequency band of the user's hearing loss determined according to the user's hearing loss curve. Setting the basic gain value of the key frequency band as the second parameter helps to avoid subsequent adjustments from affecting the user's basic listening needs.

[0035] Step S203: Obtain the usage environment information of the hearing aid device.

[0036] Among them, the usage environment information is the basic environmental data of the scene in which the hearing aid is located. It is used to determine the level of interference risk of the hearing aid's sound to the surrounding environment. Specifically, it may include the environmental sound status, the level of quietness of the environment, whether there are other people, time information, spatial characteristics, scene type, etc.

[0037] In practical applications, environmental information can be collected through the built-in pickup module and environmental sensors of hearing aids, or it can be synchronized with environmental data from smart terminal devices and home appliances via Bluetooth, wireless communication, and other methods. After collecting multi-dimensional basic environmental information, the hearing aid can verify the validity of the collected raw information, eliminating invalid values ​​caused by sensor malfunctions, data transmission errors, etc. Finally, the verified valid information is summarized and integrated to form a standardized set of environmental information, providing standardized and usable data support for subsequent determination of interference risk levels.

[0038] Step S204: Determine the interference risk level of the hearing aid device to the usage environment based on the usage environment information.

[0039] The interference risk level is a sensitivity level to environmental noise interference determined based on a set of environmental information, reflecting the current environment's tolerance to noise from the audio output of the hearing aid. For example, the interference risk level can be divided into three levels: high, medium, and low. A high interference risk level corresponds to nighttime, quiet scenarios with other people present; a medium interference risk level corresponds to scenarios such as shared spaces in the home; and a low interference risk level corresponds to outdoor scenarios where the user is alone.

[0040] In practice, after determining the level of interference risk, the hearing aid can also provide feedback to the user through voice broadcast, text display on its built-in screen, or display of the corresponding page on the associated terminal device. The user can manually modify the level information according to actual needs, and the hearing aid can optimize its own interference risk level judgment criteria based on the user's modification, so that the subsequent level judgment is more in line with the actual use scenario.

[0041] Step S205: Adjust the parameter value corresponding to the first parameter to the first parameter value according to the interference risk level.

[0042] Step S206: Determine the second audio output strategy based on the first parameter value corresponding to the first parameter and the parameter value corresponding to the second parameter.

[0043] In steps S205 and S206, when generating the final audio output scheme executed by the hearing aid device, i.e. the second audio output strategy, the initial parameter value of the first parameter is adjusted based on the interference risk level without changing the parameter value of the second parameter. This yields a first parameter value that adapts to the characteristics of the current environment. The core compensation parameter that adapts to the user's hearing needs is retained, while the adjustment parameter that adapts to the characteristics of the current environment is incorporated. This achieves a dual integration of the user's hearing needs and environmental interference adaptation, balancing the target user's listening effect with the need for low environmental interference.

[0044] In practice, the hearing aid device can integrate the adjusted first parameter value with the fixed second parameter value, and standardize the two types of parameters to form a parameter instruction set that can be recognized and executed by the audio processing module and playback module of the hearing aid device. This instruction set clarifies the various core parameter standards of the device's audio output, and can be directly used by the hearing aid device as a second audio output strategy.

[0045] Step S207: Configure the hearing aid to output audio according to the second audio output strategy.

[0046] Specifically, in step S207, the hearing aid device can directly output optimized audio that matches the user's hearing needs, is suitable for the current environment, and has low noise interference, according to the second audio output strategy determined in step S206.

[0047] Furthermore, in practical applications, while outputting audio according to the second audio output strategy, the hearing aid can also initiate a continuous monitoring and dynamic update mechanism to form a closed-loop control. Based on historical data throughout the entire process, a long-term self-learning mechanism is built to continuously optimize the audio output strategy, further improving the device's environmental adaptability and user comfort. Specifically, this includes two parts: First, continuously monitoring environmental changes and dynamically updating the output strategy. The hearing aid will first monitor changes in environmental information (such as changes in the quietness of the environment, changes in the location of others) and changes in the target user's state (such as adjustments in the user's listening preferences) in real time. Then, it will determine whether the monitored changes have led to a change in the current interference risk level or a change in the user's core listening parameters. If the level or core parameters change, the steps of obtaining the target user's hearing needs information and determining the first audio output strategy will be re-executed. The system performs several steps: first, it determines the interference risk level and adjusts the output strategy, generating and executing updated output parameters. If no changes occur, the current output strategy is maintained and monitoring continues. Second, it optimizes the output strategy based on historical data. The hearing aid continuously records the entire process data of the audio output control method, including environmental information sets, user hearing needs datasets, interference level determination results, output adjustment parameters, and execution effect feedback (such as user manual adjustment records and environmental interference feedback). Then, it periodically summarizes and analyzes the historical data to identify data correlation patterns (such as optimal adjustment parameters in specific scenarios). Subsequently, it optimizes the core logic based on the analysis results, including but not limited to interference level judgment criteria and parameter adjustment rules in the output strategy. Finally, it saves the optimized information for subsequent output strategy generation.

[0048] As can be seen, in this embodiment, the hearing aid first acquires the hearing needs information of the target user, and determines a first audio output strategy including a first parameter and a second parameter based on the hearing needs information. The second parameter is a non-adjustable parameter determined based on the hearing needs, which can ensure the core listening needs of the hearing-impaired user and avoid affecting the user's normal listening due to parameter adjustment. The adjustable first parameter reserves adjustment space for subsequent adaptation to the environment and reduction of interference. Then, the hearing aid acquires the usage environment information, determines the interference risk level of the hearing aid to the usage environment based on the usage environment information, and adjusts the parameter value corresponding to the first parameter to the first parameter value according to the interference risk level, improving the fineness of environmental adaptation. Then, based on the adjusted first parameter value and the second parameter value determined based on the hearing needs information, a second audio output strategy is determined, integrating the target user's listening needs and environmental adaptation needs. Finally, the hearing aid is configured to output audio according to the second audio output strategy, realizing a balance between the listening needs of the hearing-impaired user and the interference of ambient noise, improving the flexibility and intelligence of the hearing aid's audio output control.

[0049] In one possible example, adjusting the parameter value corresponding to the first parameter to the first parameter value according to the interference risk level includes: obtaining the parameter threshold range corresponding to the first parameter, the parameter threshold range being determined based on the auditory demand information; determining the second parameter value corresponding to the first parameter based on the interference risk level and the parameter threshold range; generating a first simulated audio to be tested based on the second parameter value corresponding to the first parameter and the parameter value corresponding to the second parameter; determining the first intelligibility of the first simulated audio according to a preset acoustic simulation algorithm; if the first intelligibility is greater than or equal to the preset intelligibility, determining the second parameter value as the first parameter value; and adjusting the parameter value corresponding to the first parameter to the first parameter value.

[0050] Among them, the parameter threshold range is the allowable range of parameter value adjustment defined based on the user's auditory needs dataset. It is the parameter boundary that ensures that the user can hear the sound clearly. When determining the adjustment value of the first parameter (i.e. the second parameter value) according to the interference risk level, in addition to considering the theoretical adjustment range of the first parameter corresponding to the interference risk level, the parameter threshold range is also used for screening. This ensures that the determined second parameter value can reduce interference to the environment while not exceeding the basic boundary required by the target user's auditory needs information.

[0051] After initially determining the second parameter value based on the interference risk level and parameter threshold range, the hearing aid device can also generate a first simulated audio based on the initially determined second parameter value, and detect its first intelligibility through a preset acoustic simulation algorithm. The acoustic simulation algorithm can simulate the auditory perception effect of hearing-impaired users. Only when the first intelligibility is greater than or equal to the preset intelligibility, that is, when the first simulated audio can be clearly perceived by the hearing-impaired user, is the second parameter determined to be used as the first parameter value for subsequent generation of the audio output strategy used by the hearing aid device. Pre-simulation verification helps to ensure the listening effect of the subsequent actual audio output and avoids the target user being unable to listen normally after adjusting the parameters according to the interference risk level.

[0052] The preset intelligibility value can be set as needed, for example, it can be set to 85%. The adjustment range of the parameter corresponding to the interference risk level can be determined by querying the preset interference-adjustment value mapping relationship.

[0053] For example, if the first parameter is the output volume, and its threshold range is determined to be 45-60dB based on the hearing needs of users with moderate to severe hearing loss (below 45dB, users cannot hear clearly), and the current environment is at a high interference risk level, according to the interference-adjustment value mapping relationship, it is determined that the output volume needs to be controlled within 50dB under this level. Therefore, the second parameter value can be 50dB. Then, the 50dB output volume is combined with the fixed second parameter (such as 60dB high-frequency core gain in the 2000-4000Hz range) to generate the first analog audio. The intelligibility is calculated to be 92% by the acoustic simulation algorithm, which is greater than the preset intelligibility of 85%. Therefore, 50dB is determined to be the final first parameter value, and the initial parameter value of the output volume is adjusted from 55dB to 50dB.

[0054] In this possible example, determining the second parameter value corresponding to the first parameter based on the interference risk level and the parameter threshold range includes: determining a third parameter value corresponding to the first parameter based on the interference risk level; if the third parameter value matches the parameter threshold range, determining the third parameter value as the second parameter value; if the third parameter value does not match the parameter threshold range, determining a fourth parameter value based on the parameter threshold range and the third parameter value, wherein the fourth parameter value is the value closest to the third parameter value among the values ​​matching the parameter threshold range; and determining the fourth parameter value as the second parameter value.

[0055] The third parameter value is the theoretical adjustment value, which is determined directly by the hearing aid device from the mapping relationship between interference and adjustment value based on the interference risk level. However, this value only considers the environmental interference suppression requirements and does not constrain the parameter by combining the user's hearing needs information. Therefore, if the third parameter value is not within the constrained value of the parameter threshold range, the third parameter value needs to be adjusted to obtain the fourth parameter value that meets the user's hearing needs information. This fourth parameter value is the value that is closest to the theoretical adjustment value selected within the user's parameter threshold range, which not only meets the environmental interference suppression requirements to the greatest extent, but also strictly adheres to the parameter boundaries of the user's listening.

[0056] For example, if the first parameter is the output volume, and its threshold range is determined to be 50-65dB based on the hearing needs of a user with severe hearing loss, and the current level is high interference risk, according to the interference-adjustment value mapping relationship, the theoretical adjustment value (third parameter value) of the output volume at this level is 48dB. This value is lower than the lower threshold limit of 50dB, meaning the third parameter value does not match the parameter threshold range. Therefore, within the threshold range of 50-65dB, 50dB, which is closest to 48dB, is selected as the fourth parameter value and determined as the second parameter value. If the current level is low interference risk, and the theoretical adjustment value (third parameter value) is 55dB, within the threshold range of 50-65dB, meaning the third parameter value matches the parameter threshold range, then 55dB is directly determined as the second parameter value.

[0057] In other words, the process of determining the second parameter value involves a comprehensive approach, including theoretical value calculation, threshold matching judgment, and selection of compliant values. This ensures that the adjustment value of the first parameter is limited to a threshold range that guarantees the user's core listening needs, avoiding situations where the user's listening experience is sacrificed to suppress interference. At the same time, selecting the value closest to the theoretical value within the threshold range as the actual adjustment value allows the parameter adjustment to best match the interference suppression requirements of the current environment. This achieves an optimal balance between environmental interference adaptation and the core listening needs of hearing-impaired users, making the parameter adjustment more reasonable and practical.

[0058] In practical applications, hearing aids can also set different strategies for determining the second parameter value based on different interference risk levels. For example, when the interference risk level is not a preset level, the strategy of determining the third parameter value and then further determining the second parameter value based on whether the third parameter value matches the parameter threshold range is executed. When the interference risk level is a preset level, the third parameter value is directly determined as the second parameter value without needing to determine whether the third parameter value matches the parameter threshold range. The preset level can be configured by the user through the terminal device and synchronized to the hearing aid, or it can be configured by the user through physical buttons on the hearing aid. For example, if the interference risk level includes high, medium, and low levels, the user can set the preset level to high. Then, in scenarios where the environment has very low noise tolerance, the hearing aid can directly determine the third parameter that matches the interference risk level as the second parameter first, and then adjust it based on intelligibility, improving the flexibility and intelligence of the hearing aid's audio output control.

[0059] As can be seen, in this example, the dual verification mechanism of defining the adjustment boundary by the parameter threshold range and verifying the audio intelligibility by the acoustic simulation algorithm can ensure that the adjustment of the first parameter is both adapted to the interference risk level of the current environment and will not impair the core listening effect of hearing-impaired users, making the parameter adjustment more reasonable. At the same time, by verifying in advance by simulating audio, ineffective adjustments are avoided from directly affecting the user's actual listening experience.

[0060] In one possible example, the method further includes: if the first intelligibility is less than the preset intelligibility, when there are multiple first parameters, obtaining priority information corresponding to the multiple first parameters; determining the adjustment order of the multiple first parameters according to the priority information; adjusting the parameter values ​​of the multiple first parameters sequentially according to the adjustment order, and generating a second simulated audio to be verified after each adjustment based on the latest parameter value of the multiple first parameters and the parameter value corresponding to the second parameter; stopping the adjustment of the parameter values ​​of the multiple first parameters when the second intelligibility of the second simulated audio is determined to be greater than or equal to the preset intelligibility according to the acoustic simulation algorithm, and determining the parameter values ​​of the multiple first parameters at this time as the first parameter value.

[0061] In practical implementation, in scenarios where the first parameter includes multiple dimensions such as output volume, frequency domain gain distribution, and sound diffusion range, if the intelligibility is not up to standard after adjusting the first parameter, the hearing aid device can automatically adjust the parameter value of the first parameter based on priority information. However, in scenarios where the first parameter only includes a single dimension, i.e., if the intelligibility is not up to standard after adjusting only a single parameter, the single first parameter can be directly adjusted, and its parameter value can be backtracked towards the initial parameter value (i.e., the parameter value determined by the first audio output strategy).

[0062] Priority information can be preset by the hearing aid and can be adjusted or reset by user commands. The hearing aid determines priority information based on two main aspects: first, the degree of influence of the parameter on environmental interference (the greater the influence, the higher the priority); and second, the degree of influence of the parameter on the user's listening experience (the smaller the influence, the higher the priority). This principle ensures that parameters that significantly suppress environmental interference and have minimal impact on the user's listening experience are adjusted first, balancing interference balance and listening experience.

[0063] In practice, if the intelligibility of the first analog audio is lower than the preset intelligibility, the hearing aid can automatically retrieve the preset priority information, generate an adjustment order table, and then make minor adjustments to the first parameter according to the adjustment order. After each adjustment, the audio simulation module will generate a new second analog audio and detect the intelligibility, forming a step-by-step optimization process of adjustment, verification, and re-adjustment until the intelligibility meets the standard.

[0064] For example, if the first parameter includes three dimensions: frequency domain gain distribution, output volume, and sound diffusion range, and the preset priority is frequency domain gain distribution > output volume > sound diffusion range, under the condition of high interference risk level, the intelligibility of the first analog audio generated after the initial adjustment is 80%, which is less than the preset intelligibility of 85%. The hearing aid will first make a small adjustment to the frequency domain gain distribution parameter, for example, reducing the attenuation of the low frequency band below 500Hz from 10dB to 7dB, generating a second analog audio. The calculated intelligibility is 83%, which is still not up to standard. The hearing aid will then make a fine adjustment to the output volume parameter, increasing it from 45dB to 47dB, generating a new second analog audio. The calculated intelligibility is 88%, which meets the preset intelligibility. At this point, the hearing aid will stop adjusting and determine the current parameter values ​​of frequency domain gain distribution, output volume, and sound diffusion range as the final first parameter values.

[0065] As can be seen, in this example, by prioritizing the first parameter of multiple dimensions and implementing a strategy of adjusting and verifying it step by step, it is beneficial to solve the problems of uncontrolled effects and difficulty in ensuring intelligibility caused by blindly adjusting multiple parameters simultaneously. This achieves refined and gradual optimization of parameters. At the same time, by determining the adjustment order based on priority, parameters that have a greater impact on environmental interference and a smaller impact on user listening can be adjusted first. This ensures that each adjustment can maximize the suppression of environmental interference while minimizing the impact on the user listening experience. Ultimately, it ensures that the adjusted parameter values ​​are both adapted to the requirements of environmental interference and that the audio intelligibility meets the basic standards of user listening, thus balancing the adaptation to environmental interference with the core listening needs of hearing-impaired users.

[0066] In one possible example, adjusting the parameter values ​​of multiple first parameters sequentially according to the adjustment order includes: determining the difference between the parameter value of the current first parameter and the parameter value corresponding to the current first parameter in the first audio output strategy; if the difference is greater than or equal to a preset threshold, and the number of times the parameter value of the current first parameter is adjusted according to the adjustment order is less than a preset number, adjusting the parameter value of the current first parameter according to a preset ratio to reduce the difference; if the difference is greater than or equal to the preset threshold, and the number of adjustments is greater than or equal to the preset number, restoring the parameter value of the current first parameter to the parameter value corresponding to the current first parameter in the first audio output strategy; if the difference is less than the preset threshold, determining the next first parameter in the adjustment order as the current first parameter.

[0067] In practice, when adjusting multiple first parameters in the order of adjustment, a limit on the number of times a single parameter can be adjusted and a backtracking rule can be set to avoid unlimited adjustment of a single parameter, which would affect the audio output efficiency due to the adjustment time.

[0068] The preset ratio can be set as needed. For example, it can be set to 50%, which means that each adjustment is reduced by 50% of the original adjustment range (i.e., the difference between the parameter before and after adjustment) to quickly approach the initial parameter value of the first parameter in the first audio output strategy and reduce invalid adjustments.

[0069] The preset number of times is the maximum number of times the hearing aid device can adjust a single parameter. The specific value can be set as needed, for example, to 3 times.

[0070] In practice, the hearing aid device will verify the first parameter to be adjusted based on the initial parameter value of the first parameter in the first audio output strategy. If the difference between the parameter value and the initial parameter value is greater than or equal to a preset threshold and the number of adjustments has not reached the upper limit, it will be adjusted back slightly according to a preset ratio. If the number of adjustments has reached the upper limit and the match is still not achieved, the parameter recovery mechanism will be triggered to restore the parameter value to the initial parameter value in the first audio output strategy, and then switch to the next parameter to continue adjustment. If the difference between the parameter value and the initial parameter value is less than a preset threshold, it will directly switch to the next first parameter for verification and adjustment.

[0071] The preset threshold can be set as needed, for example, it can be set to be closer to the initial value than the parameter threshold range of the first parameter. The parameter threshold range is a basic auditory constraint range determined based on the user's auditory needs. Only when the parameter value is within this range can the user hear normally. The initial parameter value corresponding to the first parameter in the first audio output strategy is the optimal auditory parameter value determined based on the user's auditory needs within the parameter threshold range. By setting a preset threshold condition that is more stringent than the parameter threshold range, the hearing aid device can further adjust the parameter value to ensure the user's listening effect if the intelligibility is not up to standard.

[0072] For example, if the first parameter to be adjusted is the sound diffusion range, and its threshold range is determined to be 3.5-5 meters based on user auditory needs, and its initial value in the first audio output strategy is 4 meters, the corresponding preset threshold is 0.3 meters. Under the current high interference risk level, the initial adjustment is to 2 meters. The difference from the initial value of 4 meters is 2 meters, which is greater than the preset threshold of 0.3 meters. The adjustment is performed once, less than the preset number of adjustments after 3 adjustments, and then adjusted to 3 meters at a preset ratio of 50%. The difference is reduced to 1 meter, still greater than the preset threshold. The adjustment is performed twice, less than the preset number of adjustments after 3 adjustments, and then adjusted again at a preset ratio of 50% to 3.5 meters. If the difference between the sound diffusion range parameter and the initial value of 4 meters is 0.5 meters, which is still greater than the preset threshold, the parameter is adjusted to 3.8 meters according to the rules. If the difference between the initial value of 4 meters and the initial value of 4 meters is 0.2 meters, which is less than the preset threshold of 0.3 meters, the next parameter in the adjustment sequence (such as output volume) is directly determined as the current parameter to be adjusted, and the adjustment continues based on the preset ratio and preset threshold corresponding to the output volume. If, after 3 adjustments, the difference between the sound diffusion range parameter and the initial value is still greater than or equal to the preset threshold, the parameter recovery mechanism is triggered to restore it to the initial optimal value of 4 meters, and then the adjustment continues to the next parameter (such as output volume).

[0073] In practical applications, the preset number of times, preset ratio, and preset threshold corresponding to different parameters can be the same or different, and no specific restrictions are imposed here.

[0074] As can be seen, in this example, by setting adjustment rules such as proportional adjustment, number of times limit, and recovery mechanism for a single parameter, the successive adjustment process of multiple first parameters is made more efficient and reliable. This not only helps to avoid unlimited over-adjustment of a single parameter, but also allows for rapid reduction of the deviation between the parameter value and the initial value through preset proportional backtracking or parameter recovery mechanism after exceeding the number of times, which helps to improve the efficiency of multi-parameter adjustment.

[0075] In one possible example, the first parameter includes a frequency domain gain distribution parameter, which includes multiple sub-parameters corresponding one-to-one with multiple frequency bands. Each sub-parameter is used to characterize the magnitude of amplification or attenuation of the corresponding frequency band in the audio. Determining the value of the third parameter corresponding to the first parameter based on the interference risk level includes: determining a first frequency band from the multiple frequency bands based on the user's auditory needs information, wherein the first frequency band does not include the target user's key auditory frequency bands; determining a second frequency band from the first frequency band, wherein the second frequency band is a high-sensitivity frequency band for ordinary users; adjusting the sub-parameters corresponding to the second frequency band according to the interference risk level to obtain the adjusted sub-parameters of the second frequency band; and determining the value of the third parameter based on the adjusted sub-parameters of the second frequency band.

[0076] Among them, when adjusting the first parameter according to the interference risk level, taking the frequency domain gain distribution, a core parameter of audio compensation for hearing aids, as an example, the hearing aid can avoid the key hearing frequency bands of the target user and mainly adjust the high-sensitivity frequency bands for ordinary users with normal hearing, so as to take into account both the listening needs of the target user and the interference suppression needs of the hearing aid to the surrounding environment.

[0077] Among them, the key frequency band for hearing can be determined by the user's hearing loss curve. For example, the frequency band where the user's hearing loss is most severe and requires key gain compensation, that is, the frequency band that ensures the user can hear the core audio content such as speech and music clearly (generally the 1000-3000Hz human voice frequency band and the 2000-4000Hz high-frequency detail frequency band), is determined as the key frequency band for hearing. The sub-parameters of this frequency band are not adjusted in any way, and the initial values ​​of the first audio output strategy are maintained. The first frequency band is all frequency bands except the key frequency band for hearing. The second frequency band is the high-sensitivity frequency band of ordinary hearing people selected from the first frequency band. The sound of this frequency band is easily perceived as noise by ordinary users, and it is the focus of interference suppression, such as the low frequency band below 500Hz.

[0078] Specifically, the third parameter value is determined based on the adjusted sub-parameters of the second frequency band. This can be achieved by integrating the adjusted sub-parameters of the second frequency band with the unadjusted sub-parameters of other frequency bands (determined by the first audio output strategy) to form the third parameter value of the frequency domain gain distribution parameter.

[0079] In practice, the adjustment range of the sub-parameters of the second frequency band can be set as needed. For example, the adjustment range of the second frequency band is 5-10dB. The adjustment range is 10dB for high interference risk level, 7-8dB for medium interference level, and 5dB for low interference level. No specific restrictions are imposed here.

[0080] For example, assuming the operating frequency band of the hearing aid is 125Hz~8000Hz, and the user's hearing loss curve determines that the key frequency band for hearing is 1000-4000Hz, the first frequency band is defined as 125-800Hz and 4000-8000Hz. Then, the second frequency band that ordinary users are highly sensitive to is selected from the first frequency band as 125-500Hz. Since the current level is high interference risk, the sub-parameters of the second frequency band of 125-500Hz are adjusted by 10dB attenuation. The sub-parameters of other frequency bands (800-1000Hz, 4000-8000Hz, and 1000-4000Hz) remain unchanged from the initial value of the first audio output strategy. After integrating the two, the third parameter value of the frequency domain gain distribution parameter is obtained.

[0081] In addition, the first parameter may also include dimensions such as output volume, sound directionality, output mode, and sound diffusion range. Taking these first parameters as an example, the process of determining the corresponding third parameter value according to the interference risk level can also be as follows: For the output volume dimension, ambient noise detection data is called, and combined with the upper limit of the volume threshold corresponding to the interference level, the parameter is calculated and adjusted through the volume attenuation algorithm. For example, under the high interference level, the ambient noise +15dB is used as the benchmark, and the threshold is not exceeded by 50dB. For the sound directionality dimension, if the device supports array speakers, the user position can be located through the microphone array to generate speaker beam pointing parameters. Under the high interference level, the beam angle is reduced to within 30°. For the output mode dimension, a preset mode parameter template is matched according to the interference level. For example, the night mode corresponds to a low volume and strong directional parameter template, and the template is directly called to generate the basic parameters. For the sound diffusion range dimension, the sound propagation distance is controlled by adjusting the speaker output power distribution. Under the high interference level, the propagation distance is limited to ≤5 meters, and the parameter is calculated through the power control algorithm.

[0082] As can be seen, in this example, by classifying audio frequency bands into critical bands, non-critical bands, and bands that are highly sensitive to ordinary users, frequency domain gain adjustment is only performed on the low-frequency bands that are highly sensitive to ordinary users. This avoids affecting the core listening frequency bands of hearing-impaired users, ensuring the audio compensation effect and listening experience for users, and also specifically reduces noise interference from the audio output of hearing aids to people with normal hearing in the surrounding area. This makes the adjustment of frequency domain gain more targeted and precise. At the same time, by setting the adjustment range according to the level of interference risk, the interference suppression effect can be adapted to different environmental scenarios, improving the precision and scenario adaptability of the balance between audio compensation and environmental interference.

[0083] In one possible example, the first parameter and the second parameter are determined through the following steps: obtaining a list of candidate parameters that the hearing aid device supports adjustment; determining an adjustable third parameter and a non-adjustable fourth parameter from the candidate parameter list based on the user's hearing needs information; sending first information to a target electronic device, the first information being used to instruct the target electronic device to categorize and display the third parameter and the fourth parameter; receiving second information from the target electronic device, the second information being used to characterize the detection of a selection operation for a target parameter among the fourth parameters; determining the third parameter and the target parameter as the first parameter, and determining the other parameters among the fourth parameters besides the target parameter as the second parameter.

[0084] In practice, the hearing aid device can comprehensively determine the first adjustable parameter and the second non-adjustable parameter by combining the parameter dimensions that the hearing aid device itself supports for adjustment, the dimensions that are comprehensively suggested for adjustment based on the interference risk level and hearing needs information, and the dimensions manually selected by the user.

[0085] The candidate parameter list is a list of full audio output adjustment dimensions preset by the hearing aid device based on its own hardware configuration. Specifically, it may include output volume, frequency domain gain distribution, sound directionality, sound diffusion range, basic output sound pressure level, etc. For parameter dimensions that the hearing aid device does not support adjustment, the hearing aid device will not consider adjusting their parameter values.

[0086] The third and fourth parameters are automatically initially classified by the hearing aid device based on the user's auditory needs information. The hearing aid device will classify the parameters that are strongly correlated with the user's core listening needs as the unadjustable fourth parameter, and the parameters that are weakly correlated with the user's core listening needs and strongly correlated with the suppression of environmental interference as the adjustable third parameter.

[0087] The target electronic devices include mobile phones, computers, tablets, and other terminal devices that connect to the hearing aid via Bluetooth or wirelessly. The device will display the third and fourth parameters in a categorized list within the terminal device's application interface for easy viewing and operation. User-manual selection takes precedence over the hearing aid's automatic categorization results. Users can adjust some of the fourth parameters to be adjustable based on their listening habits and usage scenarios to meet personalized needs. Alternatively, the hearing aid can also adjust some of the third parameters to be non-adjustable based on user manual selection, and these parameters will not be adjusted subsequently based on interference level information.

[0088] For example, the candidate parameter list for hearing aids includes output volume, frequency domain gain distribution, core frequency band gain (1000-3000Hz), baseline output sound pressure level (SPL), and sound dispersion range. Based on the user's hearing loss curve and baseline gain requirements, the device automatically classifies the core frequency band gain (1000-3000Hz) and baseline output SPL as non-adjustable fourth parameters, and output volume, frequency domain gain distribution, and sound dispersion range as adjustable third parameters. Figure 3 As shown, adjustable and non-adjustable parameters are categorized and displayed in the terminal device application interface (i.e., the parameter dimension configuration page) associated with the hearing aid. Users, based on their home usage habits, may wish to manually adjust the basic output sound pressure level. They select this parameter as the target parameter in the application interface. After receiving this operation information (e.g., dragging the text label of the basic output sound pressure level from the non-adjustable parameter list to the adjustable parameter list display area), the device reclassifies the parameters: the third parameter (output volume, frequency domain gain distribution, sound diffusion range) + the target parameter (basic output sound pressure level) is determined as the first parameter, and only the gain in the 1000-3000Hz core frequency band is determined as the second parameter. At this time, the terminal device can display, for example... Figure 4 The parameter dimension configuration page shown displays the details of the adjustable and non-adjustable parameters after adjustment, allowing the user to confirm them again. When a user clicks on the confirmation control, the range of the first and second parameters can be redefined based on the user's adjustments.

[0089] As can be seen in this example, the automatic initial classification of hearing aids, combined with the user's manual fine-tuning of parameters, not only eliminates incompatible parameters by automatically classifying them and delineates the non-adjustable parameters that ensure the core listening needs of hearing-impaired users, but also allows users to flexibly adjust parameter types according to their own listening habits and usage scenarios, thus meeting the personalized needs of different users. At the same time, the terminal device displays the parameters by category and receives user operations, making parameter adjustment more intuitive and convenient, improving the user's operating experience and the intelligence of the hearing aids, and making the audio output strategy more in line with the user's actual usage needs.

[0090] Please see Figure 5 , Figure 5 This is a structural block diagram of an electronic device provided in an embodiment of this application. Specifically, the electronic device 30 may be a hearing aid device used to execute the above-described method. Specifically, the electronic device 30 may include a processor 310, a memory 320, a communication interface 330, and one or more programs 321. The one or more programs 321 are stored in the memory 320 and configured to be executed by the processor 310. The one or more programs 321 include instructions for performing any step executed by the electronic device in the above-described method embodiment.

[0091] The communication interface 330 is used to support communication between the electronic device 30 and other devices. The processor 310 may be, for example, a central processing unit (CPU), a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute various exemplary logic blocks, units, and circuits described in conjunction with the embodiments of this application. The processor may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0092] The memory 320 can be volatile memory or non-volatile memory, or may include both. The non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. The volatile memory can be random access memory (RAM), which is used as an external cache. By way of example, but not limitation, many forms of random access memory are available, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous linked dynamic random access memory (SynchLinkDRAM, SLDRAM), and direct memory bus RAM (DRRAM).

[0093] In a specific implementation, the processor 310 is used to execute any step in the above method embodiments, and when performing data transmission such as sending, it can choose to call the communication interface 330 to complete the corresponding operation.

[0094] It should be noted that the above schematic diagram of the electronic device 30 is only an example, and the actual number of components included may be more or less, and no single limitation is made here.

[0095] This application can divide the device into functional units based on the above method examples. For example, each function can be divided into its own functional unit, or two or more functions can be integrated into one processing unit. The integrated unit can be implemented in hardware or as a software functional unit. It should be noted that the unit division in this application embodiment is illustrative and only represents one logical functional division; other division methods may be used in actual implementation.

[0096] Figure 6 This is a functional unit block diagram of an audio output control device for a hearing aid provided in an embodiment of this application. This audio output control device for a hearing aid can be applied in, for example... Figure 1 The hearing aid device in the hearing aid device control system shown includes an audio output control device comprising: The first acquisition unit 401 is used to acquire auditory demand information of the target user; The first determining unit 402 is used to determine a first audio output strategy of the hearing aid device based on the hearing demand information. The first audio output strategy includes: a parameter value corresponding to a first parameter and a parameter value corresponding to a second parameter. The first parameter is an adjustable parameter determined based on the hearing demand information, and the second parameter is a non-adjustable parameter determined based on the hearing demand information. The second acquisition unit 403 is used to acquire the usage environment information of the hearing aid device; The second determining unit 404 is used to determine the level of interference risk of the hearing aid to the usage environment based on the usage environment information. The adjustment unit 405 is used to adjust the parameter value corresponding to the first parameter to the first parameter value according to the interference risk level. The third determining unit 406 is used to determine the second audio output strategy based on the first parameter value corresponding to the first parameter and the parameter value corresponding to the second parameter. Configuration unit 407 is used to configure the hearing aid to output audio according to the second audio output strategy.

[0097] In one possible example, the adjustment unit 405 is specifically configured to: obtain the parameter threshold range corresponding to the first parameter, the parameter threshold range being determined based on the auditory demand information; determine the second parameter value corresponding to the first parameter based on the interference risk level and the parameter threshold range; generate a first simulated audio to be tested based on the second parameter value corresponding to the first parameter and the parameter value corresponding to the second parameter; determine the first intelligibility of the first simulated audio based on a preset acoustic simulation algorithm; if the first intelligibility is greater than or equal to the preset intelligibility, determine the second parameter value as the first parameter value; and adjust the parameter value corresponding to the first parameter to the first parameter value.

[0098] In one possible example, the audio output control device of the hearing aid is further configured to: if the first intelligibility is less than the preset intelligibility, and there are multiple first parameters, obtain priority information corresponding to the multiple first parameters; determine the adjustment order of the multiple first parameters according to the priority information; adjust the parameter values ​​of the multiple first parameters sequentially according to the adjustment order, and generate a second simulated audio to be verified after each adjustment based on the latest parameter value of the multiple first parameters and the parameter value corresponding to the second parameter; until the second intelligibility of the second simulated audio is determined to be greater than or equal to the preset intelligibility according to the acoustic simulation algorithm, stop adjusting the parameter values ​​of the multiple first parameters, and determine the parameter values ​​of the multiple first parameters at this time as the first parameter value.

[0099] In one possible example, regarding the step of sequentially adjusting the parameter values ​​of multiple first parameters according to the adjustment order, the adjustment unit 405 is specifically configured to: determine the difference between the parameter value of the current first parameter and the parameter value corresponding to the current first parameter in the first audio output strategy; if the difference is greater than or equal to a preset threshold, and the number of times the parameter value of the current first parameter is adjusted according to the adjustment order is less than a preset number, adjust the parameter value of the current first parameter according to a preset ratio to reduce the difference; if the difference is greater than or equal to the preset threshold, and the number of adjustments is greater than or equal to the preset number, restore the parameter value of the current first parameter to the parameter value corresponding to the current first parameter in the first audio output strategy; if the difference is less than the preset threshold, determine the next first parameter in the adjustment order as the current first parameter.

[0100] In one possible example, regarding the determination of a second parameter value corresponding to the first parameter based on the interference risk level and the parameter threshold range, the adjustment unit 405 is specifically configured to: determine a third parameter value corresponding to the first parameter based on the interference risk level; if the third parameter value matches the parameter threshold range, determine the third parameter value as the second parameter value; if the third parameter value does not match the parameter threshold range, determine a fourth parameter value based on the parameter threshold range and the third parameter value, wherein the fourth parameter value is the value closest to the third parameter value among the values ​​matching the parameter threshold range; and determine the fourth parameter value as the second parameter value.

[0101] In one possible example, the first parameter includes a frequency domain gain distribution parameter, which includes multiple sub-parameters corresponding one-to-one with multiple frequency bands. Each sub-parameter is used to characterize the magnitude of amplification or attenuation of the corresponding frequency band in the audio. Regarding determining the third parameter value corresponding to the first parameter based on the interference risk level, the adjustment unit 405 is specifically configured to: determine a first frequency band from the multiple frequency bands based on the user's auditory needs information, wherein the first frequency band does not include the target user's key auditory frequency bands; determine a second frequency band from the first frequency band, wherein the second frequency band is a highly sensitive frequency band for ordinary users; adjust the sub-parameters corresponding to the second frequency band according to the interference risk level to obtain the adjusted sub-parameters of the second frequency band; and determine the third parameter value based on the adjusted sub-parameters of the second frequency band.

[0102] In one possible example, the first parameter and the second parameter are determined through the following steps: obtaining a list of candidate parameters that the hearing aid device supports adjustment; determining an adjustable third parameter and a non-adjustable fourth parameter from the candidate parameter list based on the user's hearing needs information; sending first information to a target electronic device, the first information being used to instruct the target electronic device to categorize and display the third parameter and the fourth parameter; receiving second information from the target electronic device, the second information being used to characterize the detection of a selection operation for a target parameter among the fourth parameters; determining the third parameter and the target parameter as the first parameter, and determining the other parameters among the fourth parameters besides the target parameter as the second parameter.

[0103] In the case of using integrated units, the functional unit block diagram of another audio output control device for a hearing aid provided in this application embodiment is as follows: Figure 7 As shown. In Figure 7The audio output control device of the hearing aid includes a processing module 520 and a communication module 510. The processing module 520 controls and manages the operation of the audio output control device of the hearing aid, for example, the steps performed by the first acquisition unit 401, the first determination unit 402, the second acquisition unit 403, the second determination unit 404, the adjustment unit 405, the third determination unit 406, and the configuration unit 407, and / or other processes for performing the techniques described herein. The communication module 510 supports interaction between the audio output control device of the hearing aid and other devices. Figure 7 As shown, the audio output control device of the hearing aid may further include a storage module 530, which is used to store the program code and data of the audio output control device of the hearing aid.

[0104] The processing module 520 can be a processor or controller, such as a central processing unit (CPU), a general-purpose processor, a digital signal processor (DSP), an ASIC, an FPGA, or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute various exemplary logic blocks, modules, and circuits described in conjunction with the embodiments of this application. The processor can also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc. The communication module 510 can be a transceiver, RF circuitry, or a communication interface, etc. The storage module 530 can be a memory.

[0105] All relevant content in each scenario involved in the above method embodiments can be referenced from the functional descriptions of the corresponding functional modules, and will not be repeated here. The audio output control devices of the above-mentioned hearing aids can all perform the above-mentioned... Figure 2 The steps performed by the electronic device in the audio output control method of the hearing aid device shown.

[0106] This application also provides a computer-readable storage medium storing a computer program for electronic data interchange, which causes a computer to perform some or all of the steps of any of the methods described in the above method embodiments, wherein the computer includes the aforementioned electronic device.

[0107] This application also provides a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods described in the above method embodiments. This computer program product can be a software installation package.

[0108] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0109] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0110] In the several embodiments provided in this application, it should be understood that the disclosed apparatus can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of the units described above is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical or other forms.

[0111] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0112] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0113] If the integrated units described above are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage device (CMD). Based on this understanding, the technical solution of this application, in essence, 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. This computer software product is stored in a memory and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned memory includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0114] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage device, which may include a flash drive, ROM, RAM, disk, or optical disk, etc.

[0115] The embodiments of this application have been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of this application. The description of the above embodiments is only for the purpose of helping to understand the method and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for controlling the audio output of a hearing aid device, characterized in that, include: Obtain auditory needs information from the target users; A first audio output strategy for the hearing aid device is determined based on the auditory demand information. The first audio output strategy includes: a parameter value corresponding to a first parameter and a parameter value corresponding to a second parameter. The first parameter is an adjustable parameter determined based on the auditory demand information, and the second parameter is a non-adjustable parameter determined based on the auditory demand information. Obtain the environmental information of the hearing aid device; Based on the usage environment information, determine the level of interference risk of the hearing aid device to the usage environment; Based on the interference risk level, the parameter value corresponding to the first parameter is adjusted to the first parameter value; The second audio output strategy is determined based on the first parameter value corresponding to the first parameter and the parameter value corresponding to the second parameter. The hearing aid is configured to output audio according to the second audio output strategy.

2. The method according to claim 1, characterized in that, The step of adjusting the parameter value corresponding to the first parameter to the first parameter value according to the interference risk level includes: Obtain the parameter threshold range corresponding to the first parameter, wherein the parameter threshold range is determined based on the auditory demand information; Based on the interference risk level and the parameter threshold range, determine the value of the second parameter corresponding to the first parameter; Based on the second parameter value corresponding to the first parameter and the parameter value corresponding to the second parameter, a first simulated audio to be tested is generated; Based on a preset acoustic simulation algorithm, the first intelligibility of the first simulated audio is determined; If the first intelligibility is greater than or equal to the preset intelligibility, the second parameter value is determined to be the first parameter value; Adjust the parameter value corresponding to the first parameter to the first parameter value.

3. The method according to claim 2, characterized in that, The method further includes: If the first comprehensibility is less than the preset comprehensibility, and there are multiple first parameters, priority information corresponding to multiple first parameters is obtained; The adjustment order of multiple first parameters is determined based on the priority information; According to the adjustment order, the parameter values ​​of multiple first parameters are adjusted sequentially, and after each adjustment, a second analog audio to be verified is generated based on the latest parameter values ​​of multiple first parameters and the corresponding parameter values ​​of the second parameters. Until the acoustic simulation algorithm determines that the second intelligibility of the second simulated audio is greater than or equal to the preset intelligibility, the adjustment of the parameter values ​​of the plurality of first parameters is stopped, and the parameter values ​​of the plurality of first parameters at this time are determined as the first parameter values.

4. The method according to claim 3, characterized in that, The step of adjusting the parameter values ​​of multiple first parameters sequentially according to the adjustment order includes: Determine the difference between the current value of the first parameter and the value of the first parameter in the first audio output strategy; If the difference is greater than or equal to a preset threshold, and the number of times the parameter value of the current first parameter is adjusted according to the adjustment order is less than a preset number, the parameter value of the current first parameter is adjusted according to a preset ratio to reduce the difference. If the difference is greater than or equal to the preset threshold, and the number of times is greater than or equal to the preset number of times, the parameter value of the current first parameter is restored to the parameter value corresponding to the current first parameter in the first audio output strategy; If the difference is less than the preset threshold, the next first parameter in the adjustment sequence is determined to be the current first parameter.

5. The method according to claim 2, characterized in that, The step of determining the second parameter value corresponding to the first parameter based on the interference risk level and the parameter threshold range includes: Based on the interference risk level, determine the value of the third parameter corresponding to the first parameter; If the value of the third parameter matches the parameter threshold range, the value of the third parameter is determined to be the value of the second parameter. If the third parameter value does not match the parameter threshold range, a fourth parameter value is determined based on the parameter threshold range and the third parameter value. The fourth parameter value is the value that is closest to the third parameter value among the values ​​that match the parameter threshold range. The value of the fourth parameter is determined to be the value of the second parameter.

6. The method according to claim 5, characterized in that, The first parameter includes a frequency domain gain distribution parameter, which includes multiple sub-parameters corresponding one-to-one with multiple frequency bands. Each sub-parameter is used to characterize the magnitude of amplification or attenuation of the corresponding frequency band in the audio. Determining the value of the third parameter corresponding to the first parameter based on the interference risk level includes: Based on the user's auditory needs information, a first frequency band is determined from the plurality of frequency bands, wherein the first frequency band does not include the target user's key auditory frequency band; A second frequency band is determined from the first frequency band, and the second frequency band is a highly sensitive frequency band for ordinary users; Based on the interference risk level, the sub-parameters corresponding to the second frequency band are adjusted to obtain the adjusted sub-parameters of the second frequency band; The value of the third parameter is determined based on the sub-parameters adjusted for the second frequency band.

7. The method according to any one of claims 1-6, characterized in that, The first parameter and the second parameter are determined through the following steps: Obtain a list of candidate parameters that the hearing aid device supports adjustment; Based on the user's auditory needs information, an adjustable third parameter and a non-adjustable fourth parameter are determined from the candidate parameter list; Send first information to the target electronic device, the first information being used to instruct the target electronic device to classify and display the third parameter and the fourth parameter; Receive second information from the target electronic device, the second information being used to characterize the detection of a selection operation for the target parameter in the fourth parameter; The third parameter and the target parameter are determined as the first parameter, and the other parameters in the fourth parameter, excluding the target parameter, are determined as the second parameter.

8. An audio output control device for a hearing aid, characterized in that, include: The first acquisition unit is used to acquire auditory demand information of the target user; The first determining unit is configured to determine a first audio output strategy for the hearing aid device based on the hearing demand information. The first audio output strategy includes: a parameter value corresponding to a first parameter and a parameter value corresponding to a second parameter. The first parameter is an adjustable parameter determined based on the hearing demand information, and the second parameter is a non-adjustable parameter determined based on the hearing demand information. The second acquisition unit is used to acquire the usage environment information of the hearing aid device; The second determining unit is used to determine the level of interference risk of the hearing aid to the usage environment based on the usage environment information. An adjustment unit is used to adjust the parameter value corresponding to the first parameter to the first parameter value according to the interference risk level. The third determining unit is used to determine the second audio output strategy based on the first parameter value corresponding to the first parameter and the parameter value corresponding to the second parameter; The configuration unit is used to configure the hearing aid to output audio according to the second audio output strategy.

9. An electronic device, characterized in that, The method includes a processor, a memory, a communication interface, and one or more programs, said one or more programs being stored in the memory and configured to be executed by the processor, said programs including instructions for performing the steps of the method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, A computer program for storing electronic data interchange is provided, wherein the computer program causes a computer to perform the steps of the method as described in any one of claims 1-7.