A QRD-RLS BASED FREQUENCY DOMAIN MULTICHANNEL WIENER FILTER ALGORITHM FOR NOISE REDUCTION IN HEARING AIDS

被引：0
|
作者：
Cornelis, Bram [1 ]
Moonen, Marc [1 ]
Wouters, Jan [2 ]
机构：
[1] Katholieke Univ Leuven, Dept Elect Engn, ESAT SCD, B-3001 Heverlee, Belgium
[2] Katholieke Univ Leuven, Dept Neurosci, ExpORL, B-3000 Leuven, Belgium
来源：
18TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO-2010) | 2010年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper a frequency domain multichannel Wiener filter algorithm is proposed for noise reduction in hearing aids. It is shown that a robust and efficient QR Decomposition Recursive Least Squares (QRD-RLS) based updating scheme can be derived, if a single target speech source is assumed. Moreover, the scheme also allows to include a trade-off between speech distortion and noise reduction, as with the Speech Distortion Weighted Multichannel Wiener Filter (SDW-MWF). The QRD-RLS based algorithm is compared with an adaptive SDW-MWF algorithm, for a binaural hearing aid setup with 4 microphones. Besides the fact that the QRD-RLS based algorithm achieves a further improvement in speech intelligibility weighted SNR, the computational efficiency and numerical robustness are also increased.
引用
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页码：1953 / 1957
页数：5
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