Binaural sub-band adaptive speech enhancement using artificial neural networks

被引：3
|
作者：
Hussain, A [1 ]
Campbell, DR [1 ]
机构：
[1] Univ Paisley, Dept Elect Engn & Phys, Paisley PA1 2BE, Renfrew, Scotland
来源：
SPEECH COMMUNICATION | 1998年 / 25卷 / 1-3期
基金：
英国工程与自然科学研究理事会;
关键词：
adaptive speech enhancement; sub-band processing; artificial neural networks;
D O I：
10.1016/S0167-6393(98)00036-3
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
In this paper, a general class of "single-hidden layered, feedforward" Artificial Neural Network (ANN) based adaptive non-linear filters is proposed for processing band-limited signals in a multi-microphone sub-band adaptive speech-enhancement scheme. Initial comparative results achieved in simulation experiments using both simulated and real automobile reverberant data demonstrate that the proposed speech-enhancement system employing ANN-based sub-band processing is capable of outperforming conventional noise cancellation schemes. (C) 1998 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：177 / 186
页数：10
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