A novel method for permutation correction in frequency-domain in blind separation of speech mixtures

被引：0
|
作者：
Serviere, C
Pham, DT
机构：
[1] Lab Images & Signaux, F-38402 St Martin Dheres, France
[2] Lab Modelisat & Calcul, F-38041 Grenoble, France
来源：
INDEPENDENT COMPONENT ANALYSIS AND BLIND SIGNAL SEPARATION | 2004年 / 3195卷
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper presents a method for blind separation of convolutive mixtures of speech signals, based on the joint diagonalization of the time varying spectral matrices of the observation records and a novel technique to handle the problem of permutation ambiguity in the frequency domain. Simulations show that our method works well even for rather realistic mixtures in which the mixing filter has a quite long impulse response and strong echoes.
引用
收藏
页码：807 / 815
页数：9
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