Lecture Notes in Computer Science, 2007, Volume 4666/2007, 528-535, DOI: 10.1007/978-3-540-74494-8_66

Frequency-Domain Implementation of a Time-Domain Blind Separation Algorithm for Convolutive Mixtures of Sources

Masashi Ohata and Kiyotoshi Matsuoka

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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.

Keywords  source separation - convolutive models - time-frequency representations - normalization

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