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ICA
2004
Springer

Frequency Domain Blind Source Separation for Many Speech Signals

9 years 5 months ago
Frequency Domain Blind Source Separation for Many Speech Signals
This paper presents a method for solving the permutation problem of frequency domain blind source separation (BSS) when the number of source signals is large, and the potential source locations are omnidirectional. We propose a combination of small and large spacing sensor pairs with various axis directions in order to obtain proper geometric information for solving the permutation problem. Experimental results in a room (reverberation time TR=130 ms) with eight microphones show that the proposed method can separate a mixture of six speech signals that come from various directions, even when two of them come from the same direction.
Ryo Mukai, Hiroshi Sawada, Shoko Araki, Shoji Maki
Added 01 Jul 2010
Updated 01 Jul 2010
Type Conference
Year 2004
Where ICA
Authors Ryo Mukai, Hiroshi Sawada, Shoko Araki, Shoji Makino
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