Web projektu DAR

Research Centre
Data - Algorithms - Decision Making

Established in 2005 under support of MŠMT ČR (project 1M0572)

Publications

Time-Domain Blind Audio Source Separation using Advanced ICA Methods

Typ:

Conference paper

Authors:

Koldovský Z., Tichavský P.

Proceedings name:

Proccedings of the 8th Annual Conference of the International Speech Communication Association. Interspeech 2007

Publisher:

University Bonn

Serie:

Bonn

Year:

2007

Contact:

Ing. Petr Tichavský, CSc. (ÚTIA - Oddělení stochastické informatiky)

Keywords:

independent component analysis, multichannel blind deconvolu

Anotation:

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.