Frequency-domain implementation of a time-domain blind separation algorithm for convolutive mixtures of sources

Authors:
Masashi Ohata;Kiyotoshi Matsuoka
Affiliations:
Department of Brain Science and Engineering, Kyushu Institute of Technology, Kitakyushu city, Japan;Department of Brain Science and Engineering, Kyushu Institute of Technology, Kitakyushu city, Japan
Venue:
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
Year:
2007

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Abstract

This paper proposes a way to implement a time-domain blind separation algorithm for convolutive mixtures of source signals. The approach provides another form of the algorithm by discrete Fourier transform and has the possibility of designing a separating filter in the frequency domain, without bothering about the permutation problem inherent in frequency-domain blind separation approach. This paper also shows a technique to improve separation performance in the frequency domain. The validity of our approach was demonstrated by performing an experiment on separation for convolutive mixtures of two speeches.