Non-linear sub-band processing for binaural adaptive speech-enhancement

被引：0
|
作者：
Hussain, A [1 ]
机构：
[1] Univ Dundee, Dept Appl Comp, Dundee DD1 4HN, Scotland
来源：
NINTH INTERNATIONAL CONFERENCE ON ARTIFICIAL NEURAL NETWORKS (ICANN99), VOLS 1 AND 2 | 1999年 / 470期
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Non-linear processing using a general class of feedforward, single hidden-layered Artificial Neural Networks is proposed for processing bandlimited noisy signals in a binaural adaptive speech-enhancement scheme. The sub-band spacing within the adaptive speech-enhancement system can be set as in human hearing, according to a published cochlear function. Preliminary comparative results achieved in simulation experiments demonstrate that the proposed binaural sub-band scheme is capable of significantly outperforming conventional linear-processing based wide-band and sub-band noise-cancellation methods, in the presence of nonlinear interference.
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收藏
页码：121 / 125
页数：5
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