Method for manufacturing hearing aid by using original sound reconstruction technology

Abstract

The invention belongs to the field of hearing aids, and provides a method for manufacturing a hearing aid by using an original sound reconstruction technology, which comprises the following steps of: receiving an original sound signal, converting the received original sound signal into an audio signal, converting the converted audio signal into a digital signal again, and processing the converted digital signal by using a digital processor, the sound processing module is used for processing the original sound to remove noise, noise, echo and unnecessary background sound in the original sound, converting the processed digital signal into a high-simulation sound signal according to a mode selected by a mode control switch, converting the converted high-simulation sound signal back to an audio signal, and amplifying the reconverted audio signal; according to the invention, noise, noise, echo and unnecessary background sound in the original sound are eliminated and isolated by using the original sound reconstruction technology, so that the hearing aid is ensured not to have noise, noise, echo and unnecessary background sound in the original sound, and the hearing aid is vivid and clear in sound effect and suitable for ears.

Description

Technical Field

[0001] The invention belongs to the field of hearing aids, in particular to a method for manufacturing hearing aids using original sound reconstruction technology. Background Art

[0002] With the aging of the global population and the increase of noise pollution, hearing impairment has become a common health problem. As an important auxiliary device to help the hearing-impaired improve their hearing ability, the technological development and innovation of hearing aids are crucial to improving the quality of life of this group of people.

[0003] Modern electronic hearing aids are amplifiers, and their function is to increase the intensity of sound energy and transmit it to the ear with as little distortion as possible. Since the acoustic energy of sound cannot be amplified directly, it is necessary to convert it into an electrical signal, amplify it, and then convert it into sound energy. The input transducer consists of a microphone (microphone or microphone), a magnetic coil, and other parts. Its function is to convert the input sound energy into electrical energy and transmit it to the amplifier. The amplifier amplifies the input electrical signal and then transmits it to the output transducer. The output transducer consists of headphones or bone conduction vibrators, and its function is to convert the amplified signal from electrical energy to sound energy or kinetic energy output.

[0004] The technical means used by existing hearing aids are to reduce (but not eliminate) murmurs, noises, and echoes through different circuits or specific devices, and to set peak clipping (PC) or automatic gain control (AGC) devices to meet the needs of patients with different degrees of deafness. The most common problems reflected by existing hearing aids are sound distortion and unclear hearing in noisy environments. The problem that hearing aid technology needs to solve is to amplify less or no noise, amplify the sounds that users want to hear, and not amplify or amplify less the sounds that users don't want to hear. However, if the adjustment is improper, the noise is adjusted too high, making the user hear unbearable noise.

[0005] Therefore, those skilled in the art have proposed a method for manufacturing a hearing aid using original sound reconstruction technology to solve the problems raised by the background technology. Summary of the invention

[0006] In order to solve the above technical problems, the present invention provides a method for manufacturing a hearing aid using original sound reconstruction technology to solve the problems existing in the prior art.

[0007] A method for manufacturing a hearing aid using original sound reconstruction technology, comprising S1. receiving an original sound signal;

[0008] S2. Convert the received original sound signal into an audio signal;

[0009] S3 converts the converted audio signal into a digital signal again;

[0010] S4. Processing the converted digital signal using a digital processor to remove noise, echo and unnecessary background sound from the original sound;

[0011] S5. According to the mode selected by the mode control switch, the processed digital signal is converted into a high-simulation sound signal;

[0012] S6. Converting the converted high-simulation sound signal back into an audio signal;

[0013] S7. amplifying the reconverted audio signal;

[0014] S8 outputs the amplified audio signal to the earphone or ear mold of the hearing aid;

[0015] S9. Adjust the volume according to the user's hearing condition;

[0016] S10. Store the user's hearing condition and preference settings for subsequent use.

[0017] Preferably, the digital processor used in step S4 includes the following algorithm formula: processed =p original ×(1-F noise ), where P processed represents the signal strength after processing, p original Indicates the original signal strength, F noise Represents the noise factor, and the digital processor also includes an adaptive filter for real-time adjustment of F noise The value of F is used to adapt to different noise environments. The adjustment formula of the adaptive filter is: noise =F noise +α×(N measured -N estimated ), where α is the learning rate, N measured is the actual measured noise level, N estimated is the estimated noise level.

[0018] Preferably, the process of converting the digital signal into a high-simulation sound signal in step S5 includes the following algorithm formula S simulated =S digital ×T, where S simulated Represents analog signal, S digital represents the digital signal, T represents the conversion coefficient, and the conversion process also includes a nonlinear mapping function, S enhanced =log(1+e Simulated ), where S enhanced Represents the enhanced analog signal.

[0019] Preferably, the process of converting the high-simulation sound signal back to the audio signal in step S6 includes the following algorithm formula:output =A input ×G, where A output Indicates the strength of the output audio signal, A input represents the strength of the input audio signal, G represents the gain coefficient, and the gain coefficient G can be dynamically adjusted according to the user's hearing loss. The dynamic adjustment adopts the following algorithm formula: G = G base ×(1+β×(H user -H average )), where G base is the basic gain coefficient, β is the adjustment coefficient, H user is the user’s hearing loss level, H average is the average level of hearing loss.

[0020] Preferably, the process of amplifying the audio signal in step S7 includes the following algorithm formula: amplified =A input ×A, where A amplified Indicates the strength of the amplified audio signal, A input represents the strength of the input audio signal, and A represents the amplification factor, where the amplification factor A can be adaptively adjusted according to the ambient noise level. The adaptive adjustment is applicable to the following formula: A=A max ×(1-γ×N measured ), A max is the maximum magnification factor, γ is the adjustment factor, N measured is the actual measured noise level.

[0021] Preferably, the process of adjusting the volume according to the user's hearing condition in step S9 includes the following algorithm formula: V adjusted =V current ×H, where V adjusted Indicates the adjusted volume, V current Indicates the current volume, H indicates the hearing adjustment coefficient. During use, the hearing coefficient H can be fine-tuned according to user feedback. The fine-tuning follows the following formula: H = H initial ×(1+δ×F feedback ), H initial is the initial hearing adjustment coefficient, δ is the fine-tuning coefficient, F feedback is the user feedback coefficient.

[0022] Preferably, the process of storing the user's hearing condition and preference settings in step S10 includes the following algorithm formula: settings =P user ×S, where P settings Indicates the stored setting parameters, P userrepresents the user's hearing parameters, S represents the preference setting coefficient, and the stored setting parameters may also include a prediction model for predicting the user's hearing needs in different environments. The formula of the prediction model is P predicted =P settings ×P environment , P predicted where P represents the prediction setting parameters, environment Represents environmental parameters.

[0023] A second aspect of the present application provides a hearing aid, comprising a processor for executing the above method, wherein the processor comprises a digital signal processor (DSP) for executing the above algorithm formula and adjusting the performance of the hearing aid according to the user's hearing condition and preference settings.

[0024] A third aspect of the present application provides a computer program product, computer readable instructions of the method, the computer program product being storable on a non-volatile storage medium and executed by a processor of a hearing aid, the computer program product further comprising a user interface module allowing a user to adjust the settings of the hearing aid via an external device such as a smartphone or a computer;

[0025] A data processing module for analyzing the user's hearing data and environmental parameters;

[0026] An update module for remotely receiving and installing updates to hearing aid firmware and software;

[0027] Help and support module, providing user guides and troubleshooting information.

[0028] A fourth aspect of the present application provides a hearing aid system, the system comprising one or more hearing aids and an external device for controlling the operation of the hearing aids, the external device may be a smartphone application, allowing the user to adjust the settings of the hearing aids and store their hearing conditions and preferences, the system further comprising:

[0029] A central server to store and manage hearing data and settings for multiple users;

[0030] Data analysis module, used to analyze the user's usage patterns and environmental adaptability to provide personalized hearing solutions;

[0031] A community platform that allows users to share their hearing experiences and get advice from other users and professionals;

[0032] Emergency Contact feature allows users to quickly contact emergency services through hearing aids or external devices in an emergency.

[0033] Through the above technical solution,

[0034] Compared with the prior art, the present invention has the following beneficial effects:

[0035] The present invention uses the original sound reconstruction technology to remove and isolate the noise, noise, echo and unnecessary background sound in the original sound, so as to ensure that the hearing aid manufactured is free of the noise, noise, echo and unnecessary background sound in the original sound, so as to achieve the hearing aid sound effect that is realistic, clear and pleasant to the ears;

[0036] At the same time, the original sound reconstruction technology is set up to digitize the original sound collected by the microphone through a digital processor, extract the original sound digital signal, and eliminate the noise, echo and unnecessary background sound in the original sound within this digital signal. According to the mode selected by the mode control switch, the new digital signal (third-state digital signal) is converted into a high-simulation sound signal and transmitted to the earphones and ear molds. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 It is an operation flow chart of the present invention. DETAILED DESCRIPTION

[0038] The following embodiments of the present invention are described in further detail in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0039] Embodiment 1: As shown in the attached Figure 1 As shown: The present invention provides a method for manufacturing a hearing aid using original sound reconstruction technology, comprising: S1. receiving an original sound signal, and a high-sensitivity microphone can be used to receive the original sound signal of the user, and the microphone is designed to capture sounds in a wide frequency range;

[0040] S2. converting the received original sound signal into an audio signal, wherein the frequency range and amplitude of the audio signal are adjusted to match the requirements of the subsequent processing stage;

[0041] S3. Convert the converted audio signal into a digital signal again, using an analog-to-digital converter (ADC) to convert the audio signal into a digital signal, the ADC having a high sampling rate to ensure accurate digitization of the signal;

[0042] S4. Processing the converted digital signal using a digital processor to remove the noise, echo and unnecessary background sound in the original sound, wherein the digital processor includes: an adaptive filter for adjusting the noise suppression parameters in real time; a nonlinear processing unit for enhancing the speech signal and reducing distortion; and a feedback control loop for monitoring the quality of the output signal and adjusting the processing parameters according to the feedback;

[0043] S5. According to the mode selected by the mode control switch, the processed digital signal is converted into a high-simulation sound signal, wherein the mode control switch allows the user to select different hearing modes according to the environment and preferences, such as speech enhancement mode, music mode or noise suppression mode;

[0044] S6. Converting the converted high-simulation sound signal back to an audio signal, using a digital-to-analog converter (DAC) to convert the high-simulation sound signal back to an audio signal, the DAC having a high resolution to ensure high-quality conversion of the signal;

[0045] S7. amplifying the reconverted audio signal, amplifying the audio signal through an audio amplifier, the amplifier including a multi-band compressor for adjusting the gain of different frequency components according to the degree of hearing loss of the user;

[0046] S8. Output the amplified audio signal to the earphone or ear mold of the hearing aid, wherein the output signal is personalized according to the user's ear canal structure and hearing loss;

[0047] S9. Adjusting the volume according to the user's hearing condition, the adjustment process includes: a real-time hearing analyzer for monitoring the user's hearing condition; an environmental noise monitor for sensing the noise level of the surrounding environment; an intelligent volume adjustment algorithm for automatically adjusting the volume according to the above monitoring results;

[0048] S10. Storing the user's hearing condition and preference settings for subsequent use, storing the user's hearing condition and preference settings in a non-volatile storage unit for subsequent use.

[0049] From the above, it can be seen that the present invention adopts a digital processor and uses original sound reconstruction technology to isolate the noise, noise, echo and unnecessary background sound in the original sound, ensuring that the hearing aid is free from the noise, noise, echo and unnecessary background sound in the original sound, so as to achieve the hearing aid sound effect that is realistic, clear and pleasant to the ears. Through these expanded and enriched steps, claim 1 provides a comprehensive perspective, showing how the invention provides a new hearing aid manufacturing method through advanced digital signal processing technology and user interaction functions to meet the personalized needs of the hearing impaired and provide an excellent auditory experience.

[0050] Embodiment 2: As shown in the attached Figure 1 As shown: This embodiment is basically the same as the previous embodiment, except that the digital processor used in step S4 includes the following algorithm formula, P processed =p original ×(1-F noise ), where P processed represents the signal strength after processing, p original Indicates the original signal strength, F noiseRepresents the noise factor, and the digital processor also includes an adaptive filter for real-time adjustment of F noise The value of F is used to adapt to different noise environments. The adjustment formula of the adaptive filter is: noise =F noise +α×(N measured -N estimated ), where α is the learning rate, N measured is the actual measured noise level, N estimated is the estimated noise level.

[0051] Preferably, the process of converting the digital signal into a high-simulation sound signal in step S5 includes the following algorithm formula S simulated =S digital ×T, where S simulated Represents analog signal, S digital represents the digital signal, T represents the conversion coefficient, and the conversion process also includes a nonlinear mapping function, S enhanced =log(1+e Simulated ), where S enhanced Represents the enhanced analog signal.

[0052] Furthermore, the process of converting the high-simulation sound signal back to the audio signal in step S6 includes the following algorithm formula: output =A input ×G, where A output Indicates the strength of the output audio signal, A input represents the strength of the input audio signal, G represents the gain coefficient, and the gain coefficient G can be dynamically adjusted according to the user's hearing loss. The dynamic adjustment adopts the following algorithm formula: G = G base ×(1+β×(H user -H average )), where G base is the basic gain coefficient, β is the adjustment coefficient, H user is the user’s hearing loss level, H average is the average level of hearing loss.

[0053] Specifically, the process of amplifying the audio signal in step S7 includes the following algorithm formula: amplified =A input ×A, where A amplified Indicates the strength of the amplified audio signal, A input represents the strength of the input audio signal, and A represents the amplification factor, where the amplification factor A can be adaptively adjusted according to the ambient noise level. The adaptive adjustment is applicable to the following formula: A=A max ×(1-γ×N measured ), A maxis the maximum magnification factor, γ is the adjustment factor, N measured is the actual measured noise level.

[0054] Preferably, the process of adjusting the volume according to the user's hearing condition in step S9 includes the following algorithm formula: V adjusted =V current ×H, where V adjusted Indicates the adjusted volume, V current Indicates the current volume, H indicates the hearing adjustment coefficient. During use, the hearing coefficient H can be fine-tuned according to user feedback. The fine-tuning follows the following formula: H = H initial ×(1+δ×F feedback ), H initial is the initial hearing adjustment coefficient, δ is the fine-tuning coefficient, F feedback is the user feedback coefficient.

[0055] Furthermore, the process of storing the user's hearing condition and preference settings in step S10 includes the following algorithm formula, P settings =P user ×S, where P settings Indicates the stored setting parameters, P user represents the user's hearing parameters, S represents the preference setting coefficient, and the stored setting parameters may also include a prediction model for predicting the user's hearing needs in different environments. The formula of the prediction model is P predicted =P settings ×P environment , P predicted where P represents the prediction setting parameters, environment Represents environmental parameters.

[0056] As can be seen from the above, the digital processor in the present invention includes an adaptive filter that adjusts noise suppression parameters in real time to adapt to different noise environments, and a nonlinear mapping function that converts digital signals into high-simulation sound signals. These claims also describe how to dynamically adjust the gain factor according to the user's hearing loss, how to adaptively adjust the amplification factor according to the ambient noise level when amplifying the audio signal, and how to fine-tune the volume according to the user's hearing condition and feedback. In addition, it also involves a predictive model that stores the user's hearing condition and preference settings, which is intended to predict hearing needs in different environments, thereby providing a personalized auditory experience. These technical solutions together ensure that the hearing aid can provide clear, realistic and comfortable hearing effects, while having a high degree of adaptability and user customization capabilities.

[0057] An embodiment of the present application also provides a hearing aid, including a processor for executing the above method, the processor including a digital signal processor (DSP) for executing the above algorithm formula and adjusting the performance of the hearing aid according to the user's hearing condition and preference settings.

[0058] Preferably, the hearing aid not only includes a high-performance digital signal processor (DSP) to implement advanced original sound reconstruction technology, but also is equipped with a series of auxiliary modules, such as a high-sensitivity audio input module to capture sound, a high-fidelity audio output module to output processed audio, a large-capacity non-volatile storage unit to save user-customized settings and usage data, a multi-protocol supported wireless communication module to achieve seamless connection with external devices, an intelligent power management module to extend battery life, and an intuitive user interface design to enhance operational convenience. In addition, the hearing aid also integrates a feedback system for real-time monitoring and optimization of output sound quality to ensure a clear, natural and comfortable hearing experience for users in changing environments. These comprehensive features enable the hearing aid to not only effectively eliminate noise and echo, but also make intelligent adjustments based on the user's personal hearing condition and preferences to provide personalized hearing solutions.

[0059] As can be seen from the above, the DSP is used to execute the method in the previous claim and is capable of adjusting the performance of the hearing aid according to the user's hearing condition and preference settings.

[0060] Preferably, it also includes a computer program product, comprising computer-readable instructions for executing the above method, the computer program product can be stored on a non-volatile storage medium and executed by a processor of the hearing aid, the computer program product further comprising a user interface module, allowing a user to adjust the settings of the hearing aid through an external device such as a smartphone or a computer;

[0061] A data processing module for analyzing the user's hearing data and environmental parameters;

[0062] An update module for remotely receiving and installing updates to hearing aid firmware and software;

[0063] Help and support module, providing user guides and troubleshooting information.

[0064] The present application also provides a hearing aid system, the system comprising one or more hearing aids and an external device for controlling the operation of the hearing aids, the external device may be a smartphone application, allowing the user to adjust the settings of the hearing aids and store their hearing conditions and preference settings, the system further comprising:

[0065] A central server to store and manage hearing data and settings for multiple users;

[0066] Data analysis module, used to analyze the user's usage patterns and environmental adaptability to provide personalized hearing solutions;

[0067] A community platform that allows users to share their hearing experiences and get advice from other users and professionals;

[0068] Emergency Contact feature allows users to quickly contact emergency services through hearing aids or external devices in an emergency.

[0069] As can be seen from the above, the system provides a comprehensive personalized hearing solution and enhances user experience. These claims together constitute the implementation and application framework of the present invention, which aims to provide more natural, clearer and more personalized hearing assistance for the hearing impaired through advanced technical means;

[0070] The workflow of the existing technology is that the existing hearing aid is a sound signal → electrical signal → sound signal transmission, and the transmission process contains noise, murmurs, echoes and unnecessary background sounds;

[0071] The working process of the hearing aid of the present invention is as follows: acoustic signal→digital signal→original sound reconstruction technology→acoustic signal transmission. The transmission process does not contain noise, murmurs, echoes, or unnecessary background sounds. The signal transmission of this process is discontinuous. In the digital conversion stage, only useful signals are extracted and converted into digital signals, and then AI is used to resend highly simulated original sounds, thereby fundamentally eliminating and cutting off noise.

[0072] The embodiments of the present invention are provided for the purpose of illustration and description. Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations of the present invention. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present invention.

[0073] In the present invention, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may mean that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. Moreover, a first feature being "above", "above" or "above" a second feature may mean that the first feature is directly above or obliquely above the second feature, or simply means that the first feature is higher in level than the second feature. A first feature being "below", "below" or "below" a second feature may mean that the first feature is directly below or obliquely below the second feature, or simply means that the first feature is lower in level than the second feature.

[0074] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples" or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine different embodiments or examples described in this specification and the features of different embodiments or examples, unless they are contradictory.

[0075] In the drawings of the embodiments disclosed in the present invention, only the structures involved in the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other.

[0076] Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments, or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for manufacturing a hearing aid using original sound reconstruction technology, characterized in that: include: S1. Receive the original sound signal; S2. Convert the received original sound signal into an audio signal; S3 converts the converted audio signal into a digital signal again; S4. Processing the converted digital signal using a digital processor to remove noise, echo and unnecessary background sound from the original sound; S5. According to the mode selected by the mode control switch, the processed digital signal is converted into a high-simulation sound signal; S6. Converting the converted high-simulation sound signal back into an audio signal; S7. amplifying the reconverted audio signal; S8 outputs the amplified audio signal to the earphone or ear mold of the hearing aid; S9. Adjust the volume according to the user's hearing condition; S10. Store the user's hearing condition and preference settings for subsequent use.

2. A method for manufacturing a hearing aid using original sound reconstruction technology as claimed in claim 1, characterized in that: The digital processor used in step S4 includes the following algorithm formula: processed =p original ×(1-F noise ), where P processed represents the signal strength after processing, p original Indicates the original signal strength, F noise Represents the noise factor, and the digital processor also includes an adaptive filter for real-time adjustment of F noise The value of F is used to adapt to different noise environments. The adjustment formula of the adaptive filter is: noise =F noise +α×(N measured -N estimated ), where α is the learning rate, N measured is the actual measured noise level, N estimated is the estimated noise level.

3. A method for manufacturing a hearing aid using original sound reconstruction technology as claimed in claim 1, characterized in that: The process of converting the digital signal into a high-simulation sound signal in step S5 includes the following algorithm formula S simulated =S digital ×T, where S simulated Represents analog signal, S digital represents the digital signal, T represents the conversion coefficient, and the conversion process also includes a nonlinear mapping function, S enhanced =log(1+e Simulated ), where S enhanced Represents the enhanced analog signal.

4. A method for manufacturing a hearing aid using original sound reconstruction technology as claimed in claim 1, characterized in that: The process of converting the high-simulation sound signal back to the audio signal in step S6 includes the following algorithm formula: output =A input ×G, where A output Indicates the strength of the output audio signal, A input represents the strength of the input audio signal, G represents the gain coefficient, and the gain coefficient G can be dynamically adjusted according to the user's hearing loss. The dynamic adjustment adopts the following algorithm formula: G = G base ×(1+β×(H user -H average )), where G base is the basic gain coefficient, β is the adjustment coefficient, H user is the user’s hearing loss level, H average is the average level of hearing loss.

5. The method for manufacturing a hearing aid using original sound reconstruction technology as claimed in claim 1, characterized in that: The process of amplifying the audio signal in step S7 includes the following algorithm formula: amplified =A input ×A, where A amplified Indicates the strength of the amplified audio signal, A input represents the strength of the input audio signal, and A represents the amplification factor, where the amplification factor A can be adaptively adjusted according to the ambient noise level. The adaptive adjustment is applicable to the following formula: A=A max ×(1-γ×N measured ), A max is the maximum magnification factor, γ is the adjustment factor, N measured is the actual measured noise level.

6. A method for manufacturing a hearing aid using original sound reconstruction technology as claimed in claim 1, characterized in that: The process of adjusting the volume according to the user's hearing condition in step S9 includes the following algorithm formula: V adjusted =V current ×H, where V adjusted Indicates the adjusted volume, V current Indicates the current volume, H indicates the hearing adjustment coefficient. During use, the hearing coefficient H can be fine-tuned according to user feedback. The fine-tuning follows the following formula: H = H initial ×(1+δ×F feedback ), H initial is the initial hearing adjustment coefficient, δ is the fine-tuning coefficient, F feedback is the user feedback coefficient.

7. The method for manufacturing a hearing aid using original sound reconstruction technology as claimed in claim 1, characterized in that: The process of storing the user's hearing condition and preference settings in step S10 includes the following algorithm formula: settings =P user ×S, where P settings Indicates the stored setting parameters, P user represents the user's hearing parameters, S represents the preference setting coefficient, and the stored setting parameters may also include a prediction model for predicting the user's hearing needs in different environments. The formula of the prediction model is P predicted =P settings ×P environment , P predicted where P represents the prediction setting parameters, environment Represents environmental parameters.

8. A hearing aid, characterized in that Comprising a processor for executing the method of any one of claims 1 to 7: the processor comprises a digital signal processor (DSP) for executing the above algorithm formula and adjusting the performance of the hearing aid according to the user's hearing condition and preference settings.

9. A computer program product, characterized in that A computer program product comprising computer readable instructions for performing the method of any one of claims 1 to 7, the computer program product being storable on a non-volatile storage medium and executed by a processor of a hearing aid, the computer program product further comprising a user interface module allowing a user to adjust the settings of the hearing aid via an external device such as a smartphone or a computer; A data processing module for analyzing the user's hearing data and environmental parameters; An update module for remotely receiving and installing updates to hearing aid firmware and software; Help and support module, providing user guides and troubleshooting information.

10. A hearing aid system using the method according to any one of claims 1 to 7, characterized in that: The system comprises one or more hearing aids and an external device for controlling the operation of the hearing aids, the external device may be a smartphone application that allows the user to adjust the settings of the hearing aids and store their hearing condition and preferences, and the system further comprises: A central server to store and manage hearing data and settings for multiple users; Data analysis module, used to analyze the user's usage patterns and environmental adaptability to provide personalized hearing solutions; A community platform that allows users to share their hearing experiences and get advice from other users and professionals; Emergency Contact feature allows users to quickly contact emergency services through hearing aids or external devices in an emergency.

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