CN-122027960-A - Self-adaptive noise reduction method and system for hearing aid

CN122027960ACN 122027960 ACN122027960 ACN 122027960ACN-122027960-A

Abstract

The invention relates to the field of chip clamps, in particular to a self-adaptive noise reduction method and a self-adaptive noise reduction system of a hearing aid, wherein the self-adaptive noise reduction technology automatically adjusts the amplification parameters of the hearing aid by analyzing environmental noise in real time so as to reduce the influence of noise on the hearing, improve the performance of the hearing aid, the hearing-impaired person can obtain better hearing experience in various environments, a more personalized hearing assistance scheme is provided for the hearing-impaired person, diversified requirements of the hearing-impaired person are met, progress of hearing-aid technology is promoted, and contribution is made to development of the hearing assistance field.

Inventors

ZHU JIANGTAO
XIANG WENLIN
CHEN KEFU
XU LI
XIANG WENMING

Assignees

左点实业（湖北）有限公司

Dates

Publication Date: 20260512
Application Date: 20241109

Claims (8)

1. The application method of the self-adaptive noise reduction system of the hearing aid is characterized by comprising the following steps: Firstly, the system analyzes the input sound signal, estimates the frequency component and the intensity of noise, designs a filter to reduce the noise component according to the noise estimation result, and adjusts the parameters of the filter according to the real-time input signal to adapt to the change of the noise; The second step, the multi-channel self-adaptive filter collects sound information through a plurality of microphones to realize more accurate noise control, an array is formed by using the plurality of microphones to capture sound from different directions, sound signals from a specific direction are enhanced through a spatial processing technology such as beam forming, noise in other directions is restrained, and the signals collected by the plurality of microphones are fused to obtain more comprehensive noise information; The third step, deep learning model can extract abundant characteristics from the original sound signal, train the classifier through a large amount of noise and voice data, in order to distinguish noise and voice, in the real-time processing course, the classifier discerns the noise and suppresses it rapidly; The fourth step, the system continuously monitors the change of the environmental noise to respond to the fluctuation of the noise level rapidly, according to the monitoring result, the system automatically adjusts the noise reduction parameters to keep the best noise reduction effect, the user can manually adjust the noise reduction level through simple operation to adapt to different use scenes, the noise is restrained in the frequency domain through the spectrum analysis of the sound signal, the sound signal is decomposed into different frequency components, the noise components are identified and restrained in the frequency spectrum, the processed frequency spectrum components are recombined into the sound signal, the hearing aid can effectively reduce the background noise, and the hearing experience of hearing impaired people is improved, so that the hearing aid can clearly hear the required sound in various environments.
2. The adaptive noise reduction system for a hearing aid of claim 1, comprising a system architecture, a hardware module, and a software algorithm module; The system architecture comprises a sound acquisition module, a signal processing module, an output control module, a user interface module and a power management module; The hardware module comprises a microphone module, a digital signal processor, an output module and a power supply module; the software algorithm module comprises a noise identification algorithm, an adaptive filtering algorithm, a signal optimization algorithm and a user-defined algorithm.
3. The adaptive noise reduction system of a hearing aid according to claim 2, wherein the sound collection module is responsible for capturing sound signals from the environment, typically comprising a microphone hardware device, converting the collected sound signals into electrical signals for input into a database.
4. The adaptive noise reduction system of a hearing aid of claim 2, wherein the signal processing module processes the acquired sound signal, including noise recognition, signal separation, and implementation of noise reduction algorithms.
5. The adaptive noise reduction system of a hearing aid of claim 2, wherein the output control module adjusts the sound output to the earpiece or earplug based on the processed signal to achieve the noise reduction effect.
6. The adaptive noise reduction system for a hearing aid of claim 2, wherein the user interface module provides a user interface allowing a user to adjust system settings according to personal preferences; the power management module is responsible for the power supply of the whole system and ensures the energy efficiency of the system under different use environments.
7. The adaptive noise reduction system of a hearing aid of claim 2, wherein the microphone module selects a high sensitivity and low noise microphone to accurately capture sound signals; The DSP is required to have high-speed computing capability and enough memory as a core for signal processing so as to support complex arithmetic operation; the output module increases the comfort level of the user and the definition of the sound when outputting the signal; The power module designs an efficient power management system to extend the life time of the hearing aid.
8. The adaptive noise reduction system of a hearing aid according to claim 2, wherein the noise identification algorithm identifies and separates noise components by analyzing statistical properties of the sound signal; the self-adaptive filtering algorithm realizes the design of a self-adaptive filter according to the noise identification result so as to minimize an error signal; the signal optimization algorithm adopts a signal processing technology, a fast Fourier transform and a least mean square algorithm to optimize a signal processing flow; the user-defined algorithm allows the user to adjust the degree of noise reduction and the sound characteristics according to personal preferences.

Description

Self-adaptive noise reduction method and system for hearing aid Technical Field The invention relates to the field of hearing aid noise reduction, in particular to a self-adaptive noise reduction method and system for a hearing aid. Background With the aggravation of the aging society and the change of life style, the problem of hearing loss is becoming a health problem of general concern, and hearing aids are important tools for hearing assistance, and have an irreplaceable role in improving the quality of life of people with hearing loss. The following is a research introduction about hearing aids and their adaptive noise reduction systems, in which hearing loss can seriously affect communication ability, social activities and mental health of individuals, and the hearing aids are used as an electronic auxiliary device capable of amplifying sound to help hearing impaired people to better receive and process sound information, and can not only improve life quality of hearing impaired people, but also promote social participation and professional development of hearing impaired people, so that hearing aids have extremely important roles in the hearing assistance field. Although hearing aids are capable of amplifying sound, in noisy environments, excessive background noise may interfere with the hearing experience of the hearing impaired person and may even increase the hearing burden, current hearing aids generally adjust the output volume of the hearing aid in noisy environments, thereby increasing the hearing of the user, but such use often results in a user failing to achieve comfortable use, requiring constant adjustment during use, being inconvenient to use, and for this reason, it is necessary to provide an adaptive noise reduction system for the hearing aid. Disclosure of Invention The present invention provides an adaptive noise reduction system for a hearing aid, which addresses the problems of the prior art. The invention solves the technical problems by adopting the technical proposal that the self-adaptive noise reduction system of the hearing aid comprises a system architecture, a hardware module and a software algorithm module; The system architecture comprises a sound acquisition module, a signal processing module, an output control module, a user interface module and a power management module; The hardware module comprises a microphone module, a digital signal processor, an output module and a power supply module; the software algorithm module comprises a noise identification algorithm, an adaptive filtering algorithm, a signal optimization algorithm and a user-defined algorithm. The sound collection module is responsible for capturing sound signals from the environment and generally comprises a microphone hardware device, and the collected sound signals are converted into electric signals to be input into a database. The signal processing module processes the collected sound signals, including noise identification, signal separation and implementation of noise reduction algorithms. And the output control module adjusts the sound output to the earphone or the earplug according to the processed signal so as to realize the noise reduction effect. The user interface module provides a user operation interface, allowing a user to adjust system settings according to personal preferences; the power management module is responsible for the power supply of the whole system and ensures the energy efficiency of the system under different use environments. The microphone module selects a microphone with high sensitivity and low noise so as to accurately capture sound signals; The DSP is required to have high-speed computing capability and enough memory as a core for signal processing so as to support complex arithmetic operation; the output module increases the comfort level of the user and the definition of the sound when outputting the signal; The power module designs an efficient power management system to extend the life time of the hearing aid. The noise identification algorithm identifies and separates noise components by analyzing the statistical characteristics of the sound signals; the self-adaptive filtering algorithm realizes the design of a self-adaptive filter according to the noise identification result so as to minimize an error signal; the signal optimization algorithm adopts a signal processing technology, a fast Fourier transform and a least mean square algorithm to optimize a signal processing flow; the user-defined algorithm allows the user to adjust the degree of noise reduction and the sound characteristics according to personal preferences. A method of using an adaptive noise reduction system for a hearing aid, comprising the steps of: S1, firstly, analyzing an input sound signal by a system, estimating the frequency component and the intensity of noise, designing a filter according to the noise estimation result to reduce the noise component, and adjusting parameters of the filte