Blind separation of speech mixtures based on nonstationarity

被引：18
|
作者：
Pham, DT [1 ]
Servière, C [1 ]
Boumaraf, H [1 ]
机构：
[1] Lab Modelisat Calcul, F-38041 Grenoble, France
来源：
SEVENTH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, VOL 2, PROCEEDINGS | 2003年
关键词：
D O I：
10.1109/ISSPA.2003.1224818
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
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 echos.
引用
收藏
页码：73 / 76
页数：4
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