Blind dereverberation of single-channel speech signals using an ICA-based generative model

In this paper, an adaptive blind dereverberation method based on speech generative model is presented. Our ICA-based speech generative model can decompose speeches into independent sources. Experimental results show that the proposed blind dereverberation model successfully performs even in non-minimum phase channels.
Publisher
SPRINGER-VERLAG BERLIN
Issue Date
2004
Language
ENG
Keywords

DECONVOLUTION

Citation

NEURAL INFORMATION PROCESSING BOOK SERIES: LECTURE NOTES IN COMPUTER SCIENCE, v.3316, pp.1070 - 1075

ISSN
0302-9743
URI
http://hdl.handle.net/10203/10217
Appears in Collection
EE-Journal Papers(저널논문)
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