北京生物醫(yī)學(xué)工程

___________基于Gammatone濾波器組分解的數(shù)字助聽器頻響補(bǔ)償算法_________

Loudness compensation algorithm based on Gammatone filter bank decomposition for digital hearing aid

作者：李如瑋曹龍濤鮑長春吳水才

單位：           北京工業(yè)大學(xué)電子信息與控制工程學(xué)院(北京100124)    

關(guān)鍵詞：數(shù)字助聽器；頻響補(bǔ)償；Gammatone濾波器組；聽覺特性

分類號(hào)：           R318.04    

出版年·卷·期（頁碼）：2016·35·2（143-150）

摘要：

目的針對(duì)現(xiàn)有數(shù)字助聽器中的多通道頻響補(bǔ)償算法容易破壞語音信號(hào)的共振峰結(jié)構(gòu)，致使頻響補(bǔ)償后語音信號(hào)的可懂度、清晰度和舒適度降低等問題，提出一種基于人耳聽覺特性的多通道頻響補(bǔ)償算法。方法首先采用一種可以模擬人工耳蝸模型的Gammatone濾波器組，然后通過濾波處理把輸入信號(hào)分為32個(gè)頻帶，并依據(jù)耳聾者的聽力曲線對(duì)每個(gè)頻帶進(jìn)行頻響補(bǔ)償。最后采用語音信號(hào)每個(gè)通道的聲壓級(jí)，以及從共振峰結(jié)構(gòu)和主觀測(cè)試對(duì)比該算法與基于Bark域的非均勻?yàn)V波器組分割頻率的算法的優(yōu)越性。結(jié)果通過該算法處理后的語音信號(hào)可以很好地滿足不同聽力損失者的聽力要求。相對(duì)于比較算法，該算法語音信號(hào)的共振峰結(jié)構(gòu)完整性更好，在不同的聲壓級(jí)下，該算法的語句可懂度提高10%以上。結(jié)論基于Gammatone濾波器組分解的數(shù)字助聽器頻響補(bǔ)償算法優(yōu)于對(duì)比算法，并且提高了聽力損失者的語句可懂度和舒適度。

Objective The intelligibility, the definition and the comfort for digital hearing aids are reduced because of distorting formant of speech resulted by the existing loudness compensation algorithm for hearing aids. In order to solve these problems, a loudness compensation algorithm based on human auditory is proposed in this paper. Methods Firstly, Input signal is divided into 32 bands by Gammatone filter banks which can simulate the auditory model of human ear cochlea. And then each band does loudness compensation according to the curve of the hearing impaired. Finally, we compare formant, intelligibility and the sound pressure level (SPL) between the proposed method and multichannel loudness compensation based on Bark. Results This algorithm can meet the requirements of people with hearing loss, and formant structure of speech sounds gets well protected. Under different SPL, intelligibility increases more than 10%. Conclusions This algorithm is superior to multichannel loudness compensation based on Bark in sentence intelligibility, definition and comfort.

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