计算机工程与应用Issue(11)：237-240,4.DOI:10.3778/j.issn.1002-8331.1404-0252
多通道助听器语音降噪算法研究
Speech noise reduction algorithm research of multi-channel hearing ;aid
摘要
Abstract
Wiener filtering algorithm is one of the commonly used algorithms to improve the speech intelligibility of hear-ing impaired patients in the noise environment. In this paper, in order to solve the large deviation problem in the noise spectrum estimation of traditional Wiener filtering algorithm, one speech noise reduction algorithm based on the improved multi-channel Wiener filtering is proposed. Firstly, with the features of human auditory and hearing aid loudness compen-sation, the speech signal will be decomposed into multi-sub-band signals by the Gammatone filter. Then the Wiener filter based on a priori SNR estimation is used for speech enhancement in each sub-band. Finally, the sub-band signals are inte-grated to get the enhanced speech. Furthermore, a voice activity detection algorithm based on the envelope estimate is pro-posed to improve the problem in the noise spectrum estimation of traditional Wiener filtering algorithm. And it is also used to improve the performance of the Wiener filter. Experimental results show that, compared with the traditional Wie-ner filtering, the proposed method can more effectively suppress the residual noise and improve speech intelligibility, which has high practical value.关键词
助听器/维纳滤波/先验信噪比/噪声谱估计Key words
hearing aid/Wiener filtering/priori Signal to Noise Ratio(SNR)/noise spectrum estimation分类
信息技术与安全科学引用本文复制引用
奚吉,梁瑞宇,王国伟,仇晓梅,马安骏..多通道助听器语音降噪算法研究[J].计算机工程与应用,2014,(11):237-240,4.基金项目
国家自然科学基金（No.61301219，No.61375028，No.61301295）；江苏省自然科学基金（No.BK20130241）。 （）
