A hearing aid sound compensation method

Abstract

The application relates to the field of hearing aids, in particular to a hearing aid sound compensation method, which comprises a system architecture module, the system architecture module is internally provided with an implementation module, an innovation module and a processing module, and the implementation module, the innovation module and the processing module are mutually electrically connected; the implementation module is internally provided with a data acquisition module, a sound compensation model module, a digital signal processing module and a sound output module, hearing data of a user is acquired, a targeted sound compensation model is constructed, and a digital signal processing technology is adopted to realize accurate compensation on a sound signal output by the hearing aid. Experimental results show that the method has obvious advantages in improving the auditory perception quality of the user, provides a more intelligent and personalized hearing solution for the hearing impaired, and can effectively increase the hand-on performance and self-updating performance of the user through individual training and a self-updating module, so that the user can conveniently use the hearing aid.

Description

Technical Field

[0001] This invention relates to the field of hearing aid technology, specifically a method for sound compensation in hearing aids. Background Technology

[0002] Hearing aids, as assistive devices that help people with hearing impairments improve their hearing, have been widely used around the world. However, traditional hearing aids often only provide simple sound amplification and cannot accurately compensate for a user's specific hearing loss, resulting in many inconveniences for users during use.

[0003] Traditional hearing aids primarily use analog amplification technology to amplify ambient sound signals and transmit them to people with hearing impairments. However, this method has the following limitations in terms of sound quality compensation: traditional hearing aids are prone to sound quality distortion when amplifying sound signals, making the sound unnatural and harsh; traditional hearing aids have a relatively small dynamic range and cannot adapt well to complex and changing sound environments; and traditional hearing aids have insufficient ability to suppress ambient noise, which can easily cause distress to people with hearing impairments. Summary of the Invention

[0004] To address the problems in the prior art, the present invention provides a method for sound compensation in hearing aids.

[0005] The technical solution adopted by this invention to solve its technical problem is: a hearing aid sound compensation method, including a system architecture module. The system architecture module internally includes an implementation module, an innovation module, and a processing module, and these modules are electrically connected to each other. The implementation module internally includes a data acquisition module, a sound compensation model module, a digital signal processing module, and a sound output module. The data acquisition module acquires data such as the user's hearing loss degree and hearing curve by conducting hearing tests on the user. The sound compensation model module constructs a targeted sound compensation model based on the user's hearing data. The digital signal processing module processes the input sound signal through the model to obtain a compensated sound signal. The sound output module outputs the compensated sound signal to the user for sound improvement.

[0006] The innovative module internally includes an intelligent algorithm module, a multimodal perception fusion module, a wireless connection and remote control module, a speech recognition and natural language processing module, and a psychoacoustic model module. The intelligent algorithm module, by integrating artificial intelligence technology during hearing aid use, enables the hearing aid to more intelligently learn the user's auditory habits and preferences, automatically adjusting compensation parameters to provide a more personalized auditory experience. The multimodal perception fusion module, by combining visual, tactile, and other multimodal sensory information, allows the hearing aid to more comprehensively understand the user's environment and communication context, thereby providing more accurate sound compensation. The wireless connection and remote control module... The hearing aid is connected via a wireless technology chip, allowing it to connect to smartphones, tablets, and other devices for remote control and software updates, providing more convenient services for users. The speech recognition and natural language processing module integrates advanced speech recognition and natural language processing technologies, enabling the hearing aid not only to amplify sound but also to recognize and process voice commands, improving the user's interactive experience. The in-depth research module on psychoacoustic models, through in-depth research into psychoacoustic principles, develops compensation algorithms that better align with human auditory perception characteristics, improving the hearing aid's sound quality and user satisfaction, thus allowing it to be used in conjunction with the user's psychological activities.

[0007] The processing module internally includes a data acquisition hardware module, a digital hardware module, a user interaction module, an update and maintenance module, and a training module. The data acquisition hardware module works in conjunction with earbuds, a sound generator, and a frequency analyzer to ensure data accuracy and reliability. The digital hardware module, equipped with a high-efficiency digital signal processor, can quickly and accurately execute compensation algorithms when the hearing aid is in use, while keeping the device's power consumption and size within acceptable limits. The user interaction module features an intuitive user interface, allowing users to easily adjust compensation intensity, switch preset modes, and check battery status, improving user convenience. The update and maintenance module provides software update services for the hearing aid, enabling the system to receive timely updates on the latest algorithm optimizations and functional upgrades.

[0008] The data acquisition module uses professional hearing testing equipment to test the user's hearing, obtain data such as the degree of hearing loss and hearing curves, and processes the acquired data to obtain input parameters for building a sound compensation model. The sound compensation model module constructs a targeted sound compensation model based on the user's hearing data. The model includes two parts: linear compensation and nonlinear compensation. Linear compensation uses amplitude compensation to amplify the sound signal according to the degree of hearing loss. Nonlinear compensation uses a method based on auditory perception model to improve the quality of auditory perception by processing the sound signal through harmonic enhancement, noise suppression, etc.

[0009] The digital signal processing module performs model compensation processing on the input sound signal. Digital signal processing technology includes steps such as sampling, quantization, and filtering. By processing the sound signal, accurate compensation of the sound signal is achieved. The sound output module outputs the compensated sound signal to the user. The output technology includes components such as audio amplifiers and speakers to ensure that the compensated sound signal can be correctly transmitted to the user's auditory system.

[0010] The linear compensation amplifies the input sound signal within the range of 2kHz to 6kHz to compensate for the user's hearing loss, depending on the degree of the user's hearing loss. The nonlinear compensation, based on the fact that the user's hearing loss is not only manifested as amplitude loss, but may also have harmonic distortion and decreased perceived quality, optimizes the compensated sound signal through algorithms such as harmonic enhancement and noise suppression.

[0011] The training module provides users with detailed user guides and training to ensure that users can use hearing aids correctly, while also providing technical support to solve problems that users may encounter during use.

[0012] A method for using a hearing aid sound compensation method includes the following steps: Step 1: First, the hearing aid is placed on the user's ear. At this time, the data acquisition module in the implementation module, together with the earphone, sound generator, and frequency analyzer in the processing module, conducts a professional hearing test on the user to obtain data such as the degree of hearing loss and hearing curve. The acquired data is processed, and then the sound compensation model module constructs a personalized sound model based on the acquired data. This model is used to address different groups of complementary harmonics enhancement and noise suppression to improve the quality of auditory perception. At this time, the digital signal processing module processes the constructed model, uses sampling and filtering to use the sound signal, and performs precise sound compensation. In addition, the sound output module also compensates the sound, thereby increasing the user's auditory compensation. The second step involves the innovative internal module of the hearing aid, which effectively utilizes artificial intelligence algorithms to intelligently adapt to the user's habits and automatically adjust usage parameters. Furthermore, the multimodal perception fusion module, through multimodal perception information, allows the hearing aid to more comprehensively understand the user's environment and communication context, providing more accurate sound compensation. During use, the wireless connection and remote control module allows the hearing aid to connect to smartphones, tablets, and other devices for remote control and software updates, providing more convenient services for hearing aid users. Moreover, the hearing aid not only amplifies sound but also recognizes and processes voice commands, enhancing the user's interactive experience. Step 3: Use in conjunction with the processing module. The data acquisition hardware module effectively ensures the accuracy and reliability of the data during acquisition, preventing users from mishearing. It can also work with the digital hardware module to quickly compensate for the algorithm, improving hearing and enhancing the user's hearing. When using the user interaction module, users can adjust the compensation intensity, switch preset modes, check battery status, etc., improving user convenience. The update and maintenance module can also be used to view the hearing aid's software updates in a timely manner. Users can update independently to obtain the latest algorithm optimizations and services, thereby increasing the overall usability of the hearing aid.

[0013] The beneficial effects of this invention are: (1) The hearing aid sound compensation method described in this invention collects the user's hearing data, constructs a targeted sound compensation model, and uses digital signal processing technology to accurately compensate the sound signal output by the hearing aid. Experimental results show that this method has significant advantages in improving the user's auditory perception quality, providing a more intelligent and personalized hearing solution for people with hearing impairments. Moreover, individual training and self-updating modules can effectively increase the user's ease of use and self-updating performance, making it convenient for users to use. Attached Figure Description

[0014] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0015] Figure 1 This is a schematic diagram of the system mechanism module structure of a hearing aid sound compensation method provided by the present invention; Figure 2 This is a flowchart illustrating the implementation modules of a hearing aid sound compensation method provided by the present invention. Figure 3 A schematic diagram of the flow structure of the innovative module in the hearing aid sound compensation method provided by the present invention; Figure 4 This is a schematic diagram of the process module in a hearing aid sound compensation method provided by the present invention. Detailed Implementation

[0016] To make the technical means, creative features, objectives and effects of this invention easier to understand, the invention will be further described below in conjunction with specific embodiments.

[0017] like Figures 1-4As shown, the hearing aid sound compensation method of the present invention includes a system architecture module, which internally comprises an implementation module, an innovation module, and a processing module, and the implementation module, innovation module, and processing module are electrically connected to each other; the implementation module internally comprises a data acquisition module, a sound compensation model module, a digital signal processing module, and a sound output module. The data acquisition module acquires data such as the user's hearing loss degree and hearing curve by conducting a hearing test on the user; the sound compensation model module constructs a targeted sound compensation model based on the user's hearing data; the digital signal processing module obtains the compensated sound signal by processing the input sound signal through the model; the sound output module outputs the sound signal by... The compensated sound signal is output to the user for sound improvement. The innovative module includes an intelligent algorithm module, a multimodal perception fusion module, a wireless connection and remote control module, a speech recognition and natural language processing module, and a psychoacoustic model module. The intelligent algorithm module, by integrating artificial intelligence technology during hearing aid use, allows the hearing aid to more intelligently learn the user's auditory habits and preferences, automatically adjusting compensation parameters to provide a more personalized auditory experience. The multimodal perception fusion module, by combining visual, tactile, and other multimodal sensory information, allows the hearing aid to more comprehensively understand the user's environment and communication context, thus providing more accurate sound compensation. The wireless connection and remote control module... With the aid of wireless technology chip, the hearing aid can connect to smartphones, tablets, and other devices for remote control and software updates, providing more convenient services for users. The speech recognition and natural language processing module integrates advanced speech recognition and natural language processing technologies, enabling the hearing aid not only to amplify sound but also to recognize and process voice commands, improving the user's interactive experience. The in-depth research module on psychoacoustic models develops compensation algorithms that better align with human auditory perception, improving the hearing aid's sound quality and user satisfaction, thus allowing it to be used in conjunction with the user's psychological activities. The processing module includes a data acquisition hardware module and a digital hardware module. The user interaction module, update and maintenance module, and training module, along with the data acquisition hardware module, work together with in-ear headphones, a sound generator, and a frequency analyzer to ensure data accuracy and reliability. The digital hardware module, equipped with a high-efficiency digital signal processor, can quickly and accurately execute compensation algorithms during hearing aid use while keeping the device's power consumption and size within acceptable limits. The user interaction module features an intuitive user interface, allowing users to easily adjust compensation intensity, switch preset modes, and check battery status, improving ease of use. The update and maintenance module provides software update services for the hearing aid, ensuring the system receives the latest algorithm optimizations and functional upgrades in a timely manner.The data acquisition module uses professional hearing testing equipment to test the user's hearing, acquiring data such as the degree of hearing loss and hearing curves. By processing the acquired data, input parameters for building a sound compensation model are obtained. The sound compensation model module constructs a targeted sound compensation model based on the user's hearing data. This model includes two parts: linear compensation and nonlinear compensation. Linear compensation uses amplitude compensation to amplify the sound signal according to the user's degree of hearing loss. Nonlinear compensation uses a method based on auditory perception models, improving auditory perception quality through harmonic enhancement and noise suppression. The digital signal processing module performs model compensation processing on the input sound signal. Digital signal processing technology includes sampling, quantization, and filtering steps to achieve accurate sound signal compensation. The sound output module outputs the compensated sound signal to the user. Output technologies include audio amplifiers and speakers to ensure that the compensated sound signal is correctly transmitted to the user's auditory system.

[0018] Linear compensation amplifies the input sound signal within the range of 2kHz to 6kHz to compensate for the user's hearing loss, depending on the degree of the user's hearing loss. Nonlinear compensation, on the other hand, addresses the issue that hearing loss not only manifests as amplitude loss but may also involve harmonic distortion and a decrease in perceived quality. Therefore, algorithms such as harmonic enhancement and noise suppression are used to optimize the compensated sound signal. This allows for sound optimization and compensation in different situations using both linear and nonlinear compensation, increasing the overall flexibility of the hearing aid.

[0019] The training module provides users with detailed user guides and training to ensure they can use their hearing aids correctly. It also offers technical support to resolve any problems users may encounter during use. This module facilitates training new users, increasing their proficiency and making subsequent use of the hearing aids easier. In practical use: First, the hearing aid is worn on the user's ear. Then, the data acquisition module in the implementation module, along with the earbuds, sound generator, and frequency analyzer in the processing module, conducts a professional hearing test to obtain data such as the user's hearing loss level and hearing curve. The acquired data is processed, and then a personalized sound model is constructed based on the data using the sound compensation model module. This model addresses different harmonic enhancements and noise suppression for different groups of harmonics, improving auditory perception quality. The digital signal processing module processes the constructed model, using sampling and filtering to accurately compensate for the sound signal. The sound output module also provides sound compensation, increasing the user's auditory compensation. Through the hearing aid's internal innovative module, artificial intelligence algorithms can intelligently adjust usage parameters according to the user's habits. Furthermore, the multimodal perception fusion module uses multimodal perception information to maximize the hearing aid's comprehensive capabilities. By comprehensively understanding the user's environment and communication context, the hearing aid provides more accurate sound compensation. During use, the wireless connection and remote control module allows the hearing aid to connect to smartphones, tablets, and other devices for remote control and software updates, providing more convenient services for hearing aid users. Furthermore, the hearing aid not only amplifies sound but also recognizes and processes voice commands, enhancing the user's interactive experience. Combined with the processing module, the data acquisition hardware module effectively ensures the accuracy and reliability of the collected data, preventing user mishearing. The digital hardware module enables rapid compensation algorithms to improve hearing and enhance the user's hearing. Users can adjust the compensation intensity, switch preset modes, and check battery status through the user interaction module, improving usability. The update and maintenance module allows users to view software updates and independently update to obtain the latest algorithm optimizations and services, thereby increasing the overall usability of the hearing aid.

[0020] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of protection claimed by the present invention. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for sound compensation in a hearing aid, characterized in that, The system includes a system architecture module, which internally comprises an implementation module, an innovation module, and a processing module, and these modules are electrically connected to each other. The implementation module internally comprises a data acquisition module, a sound compensation module, a digital signal processing module, and a sound output module. The data acquisition module acquires data such as the user's hearing loss degree and hearing curve by conducting hearing tests on the user. The sound compensation model module constructs a targeted sound compensation model based on the user's hearing data; the digital signal processing module obtains the compensated sound signal by processing the input sound signal through the model. The sound output module improves the sound by outputting a compensated sound signal to the user.

2. The hearing aid sound compensation method according to claim 1, characterized in that: The innovative module includes an intelligent algorithm module, a multimodal perception fusion module, a wireless connection and remote control module, a speech recognition and natural language processing module, and a psychoacoustic model module. The intelligent algorithm module integrates artificial intelligence technology when the hearing aid is used, enabling the hearing aid to learn the user's auditory habits and preferences more intelligently, automatically adjust compensation parameters, and provide a more personalized auditory experience. The multimodal perception fusion module combines visual, tactile, and other multimodal sensory information with the hearing aid, enabling the hearing aid to more comprehensively understand the user's environment and communication context, thus providing more accurate sound compensation. The wireless connection and remote control module, through a wireless technology chip, allows the hearing aid to connect with smartphones, tablets, and other devices for remote control and software updates, providing more convenient services for hearing aid users. The speech recognition and natural language processing module integrates advanced speech recognition and natural language processing technologies, enabling the hearing aid not only to amplify sound but also to recognize and process voice commands, improving the user's interactive experience. The in-depth research module on psychoacoustic models, through in-depth research into psychoacoustic principles, develops compensation algorithms that better conform to human auditory perception characteristics, improving the sound quality and user satisfaction of the hearing aid, thus allowing it to be used in conjunction with the user's psychological activities.

3. The hearing aid sound compensation method according to claim 1, characterized in that: The processing module internally includes a data acquisition hardware module, a digital hardware module, a user interaction module, an update and maintenance module, and a training module. The data acquisition hardware module works in conjunction with earbuds, a sound generator, and a frequency analyzer to ensure data accuracy and reliability. The digital hardware module, equipped with a high-efficiency digital signal processor, can quickly and accurately execute compensation algorithms when the hearing aid is in use, while keeping the device's power consumption and size within acceptable limits. The user interaction module features an intuitive user interface, allowing users to easily adjust compensation intensity, switch preset modes, and check battery status, improving user convenience. The update and maintenance module provides software update services for the hearing aid, enabling the system to receive timely updates on the latest algorithm optimizations and functional upgrades.

4. The hearing aid sound compensation method according to claim 1, characterized in that: The data acquisition module uses professional hearing testing equipment to test the user's hearing, obtain data such as the degree of hearing loss and hearing curves, and processes the acquired data to obtain input parameters for building a sound compensation model. The sound compensation model module constructs a targeted sound compensation model based on the user's hearing data. The model includes two parts: linear compensation and nonlinear compensation. Linear compensation uses amplitude compensation to amplify the sound signal according to the degree of hearing loss. Nonlinear compensation uses a method based on auditory perception model to improve the quality of auditory perception by processing the sound signal through harmonic enhancement, noise suppression, etc.

5. The hearing aid sound compensation method according to claim 1, characterized in that: The digital signal processing module performs model compensation processing on the input sound signal. Digital signal processing technology includes steps such as sampling, quantization, and filtering. By processing the sound signal, accurate compensation of the sound signal is achieved. The sound output module outputs the compensated sound signal to the user. The output technology includes components such as audio amplifiers and speakers to ensure that the compensated sound signal can be correctly transmitted to the user's auditory system.

6. The hearing aid sound compensation method according to claim 5, characterized in that: The linear compensation amplifies the input sound signal within the range of 2kHz to 6kHz to compensate for the user's hearing loss, depending on the degree of the user's hearing loss. The nonlinear compensation, based on the fact that the user's hearing loss is not only manifested as amplitude loss, but may also have harmonic distortion and decreased perceived quality, optimizes the compensated sound signal through algorithms such as harmonic enhancement and noise suppression.

7. The hearing aid sound compensation method according to claim 3, characterized in that: The training module provides users with detailed user guides and training to ensure that users can use hearing aids correctly, while also providing technical support to solve problems that users may encounter during use.

8. A method of using the hearing aid sound compensation method as described in claim 1, characterized in that: Includes the following steps: Step 1: First, the hearing aid is placed on the user's ear. At this time, the data acquisition module in the implementation module, together with the earphone, sound generator, and frequency analyzer in the processing module, conducts a professional hearing test on the user to obtain data such as the degree of hearing loss and hearing curve. The acquired data is processed, and then the sound compensation model module constructs a personalized sound model based on the acquired data. This model is used to address different groups of complementary harmonics enhancement and noise suppression to improve the quality of auditory perception. At this time, the digital signal processing module processes the constructed model, uses sampling and filtering to use the sound signal, and performs precise sound compensation. In addition, the sound output module also compensates the sound, thereby increasing the user's auditory compensation. The second step involves the innovative internal module of the hearing aid, which effectively utilizes artificial intelligence algorithms to intelligently adapt to the user's habits and automatically adjust usage parameters. Furthermore, the multimodal perception fusion module, through multimodal perception information, allows the hearing aid to more comprehensively understand the user's environment and communication context, providing more accurate sound compensation. During use, the wireless connection and remote control module allows the hearing aid to connect to smartphones, tablets, and other devices for remote control and software updates, providing more convenient services for hearing aid users. Moreover, the hearing aid not only amplifies sound but also recognizes and processes voice commands, enhancing the user's interactive experience. Step 3: Use in conjunction with the processing module. The data acquisition hardware module effectively ensures the accuracy and reliability of the data during acquisition, preventing users from mishearing. It can also work with the digital hardware module to quickly compensate for the algorithm, improving hearing and enhancing the user's hearing. When using the user interaction module, users can adjust the compensation intensity, switch preset modes, check battery status, etc., improving user convenience. The update and maintenance module can also be used to view the hearing aid's software updates in a timely manner. Users can update independently to obtain the latest algorithm optimizations and services, thereby increasing the overall usability of the hearing aid.

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