DocumentCode
1943182
Title
Blind separation of speech mixtures based on nonstationarity
Author
Pham, Dinh-Tuan ; Servière, Christine ; Boumaraf, Hakim
Author_Institution
Laboratoire de Modelisation et Calcul, Grenoble, France
Volume
2
fYear
2003
fDate
1-4 July 2003
Firstpage
73
Abstract
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.
Keywords
audio signal processing; blind source separation; echo; filtering theory; speech processing; transient response; blind separation; convolutive mixtures; echoes; impulse response; mixing filter; permutation ambiguity; speech signals; time varying spectral matrices; Filtering; Filters; Fourier transforms; Frequency domain analysis; Frequency response; Gaussian processes; Genetic mutations; Maximum likelihood estimation; Speech; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Its Applications, 2003. Proceedings. Seventh International Symposium on
Print_ISBN
0-7803-7946-2
Type
conf
DOI
10.1109/ISSPA.2003.1224818
Filename
1224818
Link To Document