8th Annual Conference of the International Speech Communication Association

Antwerp, Belgium
August 27-31, 2007

Time-Domain Blind Audio Source Separation Using Advanced ICA Methods

Zbyněk Koldovský (1), Petr Tichavský (2)

(1) Technical University of Liberec, Czech Republic
(2) Academy of Sciences of the Czech Republic, Czech Republic

In this paper, a prototype of novel algorithm for blind separation of convolutive mixtures of audio sources is proposed. The method works in time-domain, and it is based on the recently very successful algorithm EFICA for Independent Component Analysis, which is an enhanced version of more famous FastICA. Performance of the new algorithm is very promising, at least, comparable to other (mostly frequency domain) algorithms. Audio separation examples are included.

Full Paper

Acoustic Examples (HTML file opening in a new window)

Bibliographic reference.  Koldovský, Zbyněk / Tichavský, Petr (2007): "Time-domain blind audio source separation using advanced ICA methods", In INTERSPEECH-2007, 846-849.