ICA 2007

ICA 2007
7th International Conference on
Independent Component Analysis
and Signal Separation

London, UK        9 - 12 September 2007

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Paper No: 88

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

Author(s): Masashi Ohata, Kiyotoshi Matsuoka


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 posibility of designing a separating filter in the frequency domain, without bothering about the permutation problem inherent in frequeny-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.

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