A Partitioned Frequency Block Algorithm for Blind Separation in Reverberant Environments

Authors:
Michele Scarpiniti;Andrea Picaro;Raffaele Parisi;Aurelio Uncini
Affiliations:
Infocom Department, “Sapienza” University of Rome;Infocom Department, “Sapienza” University of Rome;Infocom Department, “Sapienza” University of Rome;Infocom Department, “Sapienza” University of Rome
Venue:
Proceedings of the 2009 conference on Neural Nets WIRN09: Proceedings of the 19th Italian Workshop on Neural Nets, Vietri sul Mare, Salerno, Italy, May 28--30 2009
Year:
2009

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Abstract

In this paper a blind source separation algorithm in reverberant environment is presented. The algorithms working in such adverse environments are usually characterized by a huge computational cost. In order to reduce the computational complexity of this kind of algorithms a partitioned frequency domain approach is proposed. Several experimental results are shown to demonstrate the effectiveness of the proposed method.