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Channel-adaptive digital hearing aid wide dynamic range compression method

A technology with wide dynamic range and compression method, applied in hearing aids, hearing aid signal processing, adaptation of hearing aids with hearing loss, etc. It can reduce the computational complexity and improve the intelligibility of speech.

Active Publication Date: 2022-01-28
NANJING INST OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It involves two issues: (1) how to compensate according to the patient's hearing loss at different frequency points; (2) how to compensate according to the sound intensity of the input sound, so as to ensure that the patient can clearly hear the signal when the signal is weak Hear it, but also ensure that it is not noisy when the signal is strong
First, filter banks with a fixed number of channels cannot effectively compensate for the complex hearing loss of hearing-impaired patients
If the patient has different hearing losses at adjacent frequency points, and these frequency points are located in the same sub-band, different compensation values ​​cannot be given for hearing loss at different frequency points
Second, it wastes precious computation
Some patients have no hearing loss in a wide frequency band, or have the same hearing loss. The algorithm still needs to divide different channels for separate calculations, wasting valuable calculations and power consumption of digital hearing aids

Method used

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  • Channel-adaptive digital hearing aid wide dynamic range compression method
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  • Channel-adaptive digital hearing aid wide dynamic range compression method

Examples

Experimental program
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Effect test

Embodiment 1

[0062] This embodiment is a channel-adaptive wide dynamic range compression method for digital hearing aids, the method comprising the following steps:

[0063] Step 1) Design an adaptive channel filter bank: select an asymmetric filter bank decomposition and synthesis algorithm by simulating the auditory characteristics of the human ear, and then design the channel number and parameters of the filter bank according to the patient's audiogram and integrate the psychoacoustic model to obtain Personalized filter bank according to the patient's hearing loss;

[0064] Step 2) sound signal compression output: use the digital hearing aid using the method described in step 1) to carry out wide dynamic range compression on the input sound signal sub-channels, and the compression process includes the following steps:

[0065] Step 2-1), performing adaptive channel filter bank decomposition on the input signal to obtain the signal of the adaptive channel;

[0066] Step 2-2), performing...

Embodiment 2

[0113] Embodiment 2 Effect example

[0114] This embodiment is to perform objective evaluation and subjective evaluation on the effect of the channel-adaptive digital hearing aid wide dynamic range compression method described in Embodiment 1. The objective evaluation is to measure the voice amplitude and clarity after compensation. The results are as follows: image 3 The subjective evaluation is to randomly select 10 senile hearing-impaired patients for the subjective test of speech recognition to obtain the speech recognition rate, and use the original voice as the recognition control. The results are shown in Table 1.

[0115] Table 1. Average Speech Recognition Rates for Hearing Impaired Patients

[0116]

[0117] image 3 It shows that the wide dynamic range compression of the channel-adaptive digital hearing aid by the method of the present invention increases the voice amplitude after compensation, but still maintains the voice envelope, and the voice print is cle...

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Abstract

The invention discloses a channel-adaptive digital hearing aid wide dynamic range compression method, which comprises the following steps of: firstly, selecting an asymmetric filter bank decomposition and synthesis algorithm by simulating human auditory characteristics; then, designing the channel number and parameters of a filter bank according to an audiogram of a patient and a psychological acoustic model to obtain a personalized filter bank conforming to the hearing loss of the patient; and finally, performing wide dynamic range compression on input sound signals in channels by using the digital hearing aid of the method. The compression comprises the following specific steps of: carrying out adaptive channel filter bank decomposition on input signals to obtain adaptive channel signals; carrying out loudness compensation on each decomposed channel signal; performing filter bank synthesis on the compensated channel signals to obtain full-band signals; and converting the synthesized full-band signals into sound signals and outputting the sound signals. The calculation complexity of the system is reduced while the performance requirement is met, and the speech intelligibility of the patient is improved.

Description

technical field [0001] The invention relates to the technical field of digital hearing aid acoustic signal processing, in particular to a channel adaptive wide dynamic range compression method for digital hearing aids. Background technique [0002] The most important function of digital hearing aids is loudness compensation, that is, to develop a personalized compensation plan that is most suitable for the patient according to the patient's hearing loss. It involves two issues: (1) how to compensate according to the patient's hearing loss at different frequency points; (2) how to compensate according to the sound intensity of the input sound, so as to ensure that the patient can clearly hear the signal when the signal is weak Hearing, but also to ensure that there is no noise when the signal is strong. [0003] A specific implementation method of loudness compensation is wide dynamic range compression (wide dynamic rangecompression, WDRC). WDRC decomposes the sound signal ...

Claims

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Application Information

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IPC IPC(8): H04R25/00
CPCH04R25/505H04R25/70H04R2225/43
Inventor 王青云梁瑞宇郭如雪唐闺臣邹采荣赵立业
Owner NANJING INST OF TECH
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