Adaptive fitting method of digital hearing aid

A hearing aid and self-adaptive technology, which is applied in the adaptation of hearing aids for hearing loss, hearing aids, hearing aid signal processing, etc., and can solve problems such as unrealized equipment

Active Publication Date: 2017-01-04
SOUTHEAST UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This is the basic concept of self-fitting hearing aids, and devices

Method used

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  • Adaptive fitting method of digital hearing aid
  • Adaptive fitting method of digital hearing aid
  • Adaptive fitting method of digital hearing aid

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Experimental program
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Embodiment approach

[0060] 1. Signal collection and decomposition

[0061] First, each frame of speech signal is divided into 11 frequency bands, and the node frequencies of each frequency band are 125Hz, 250Hz, 500Hz, 750Hz, 1k Hz, 1.5k Hz, 2k Hz, 3k Hz, 4k Hz, 6k Hz, 8k Hz; The sampling frequency f of the speech signal input by the hearing aid from the microphone s It is 16KHz. Due to the short-term stationarity of the voice signal, the length of a frame signal is 128 points, that is, 8ms. For an input frame of speech signal x(n), n represents a discrete time point, according to the frequency band division, first through the analysis filter bank H 1 (z),H 2 (z),...H 11 (z) is decomposed into 11 sub-band signals. In order to further reduce the computational complexity, each filter in the analysis filter bank is a 6-order IIR filter, and the output sub-band signals of each filter are expressed as:

[0062] the y m (n)=x(n)*h m (n) (Equation 1)

[0063] In the above formula, m represents th...

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Abstract

The invention discloses an adaptive fitting method of a digital hearing aid. The fitting process of the traditional hearing aid cannot be realized without a hearing expert, the fitting result directly depends on the professional level of the hearing expert, in addition, for developing countries, the medical conditions of a considerable part of regions are not up to the fitting standard, but adaptive fitting of the hearing aid can be effectively realized by adoption of the method, namely the fitting process of the hearing aid is realized without the hearing expert. According to the method disclosed by the invention, a summation form of two-dimensional Gauss distribution is used as a fitting model, interactive evolutionary computation is used as an optimization method, and the fitting model of the digital hearing aid can be determined by human-computer interaction within 30 generations in combination with a human-computer interaction interface designed in the method disclosed by the invention. Experimental results indicate that the adaptive fitting of the digital hearing aid can be effectively realized by the method provided by the invention, thereby getting rid of the limitation of the hearing expert to the fitting process of the digital hearing aid.

Description

technical field [0001] The invention relates to a fitting method of a digital hearing aid, in particular to an adaptive fitting method of a digital hearing aid based on a two-dimensional Gaussian model. Background technique [0002] Population aging is a common problem faced by mankind at present. It has brought a series of impacts, and the increasing proportion of people with hearing loss is one of the problems. This indirectly led to a sharp rise in the demand for hearing aids. However, professional audiologists and professional hearing institutions are currently relatively scarce, resulting in high prices for hearing aids, seriously affecting the popularity and use of hearing aids. Relatively speaking, self-fitting hearing aids do not require professionals and special equipment, and are completely installed, fitted and managed by users. Therefore, adaptive fitting of hearing aids has important theoretical research value and application prospects. [0003] From the desig...

Claims

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Application Information

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IPC IPC(8): H04R25/00
CPCH04R25/50H04R25/70H04R2225/43
Inventor 赵力魏昕梁瑞宇王青云章勤杰
Owner SOUTHEAST UNIV
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