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. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Ohata, M., & Matsuoka, K. (2007). Frequency-domain implementation of a time-domain blind separation algorithm for convolutive mixtures of sources. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4666 LNCS, pp. 528–535). Springer Verlag. https://doi.org/10.1007/978-3-540-74494-8_66
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