Adaptive Time-Domain Blind Separation of Speech Signals

被引：3

作者：

Malek, Jiri ^{[1
]}

Koldovsky, Zbynek ^{[1
,2
]}

Tichavsky, Petr ^{[2
]}

机构：

[1] Tech Univ Liberec, Fac Mechatron & Interdisciplinary Studies, Studentska 2, Liberec 46117, Czech Republic

[2] Inst Informat Theory & Automat, Prague 18208, Czech Republic

来源：

LATENT VARIABLE ANALYSIS AND SIGNAL SEPARATION | 2010年 / 6365卷

关键词：

ALGORITHMS;

D O I：

10.1007/978-3-642-15995-4_2

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

We present an adaptive algorithm for blind audio source separation (BASS) of moving sources via Independent Component Analysis (ICA) in time-domain. The method is shown to achieve good separation quality even with a short demixing filter length (L = 30). Our experiments show that the proposed adaptive algorithm can outperform the off-line version of the method (in terms of the average output SIR), even in the case in which the sources do not move, because it is capable of better adaptation to the nonstationarity of the speech.

引用

页码：9 / +

页数：2

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