Time-Domain Blind Separation of Audio Sources on the Basis of a Complete ICA Decomposition of an Observation Space

0356661 - ÚTIA 2011 RIV US eng J - Článek v odborném periodiku
Koldovský, Zbyněk - Tichavský, Petr
Time-Domain Blind Separation of Audio Sources on the Basis of a Complete ICA Decomposition of an Observation Space.
IEEE Transactions on Audio Speech and Language Processing. Roč. 19, č. 2 (2011), s. 406-416. ISSN 1558-7916
Grant CEP: GA MŠMT 1M0572; GA ČR GA102/09/1278
Grant ostatní: GAČR(CZ) GP102/07/P384
Program: GP
Výzkumný záměr: CEZ:AV0Z10750506
Klíčová slova: blind source separation * audio * speech
Kód oboru RIV: BI - Akustika a kmity
Impakt faktor: 1.498, rok: 2011
http://library.utia.cas.cz/separaty/2011/SI/tichavsky-0356661.pdf

A novel time-domain algorithm for blind separation of audio sources that is based on a complete unconstrained decomposition of the observation space is proposed. The observation space may be defined in a general way, which allows application of long separating filters, although its dimension is low. The decomposition is done by an appropriate independent component analysis (ICA) algorithm giving independent components that are grouped into clusters corresponding to the original sources. Components of the clusters are combined by a reconstruction procedure after estimating responses of the original sources. The authors demonstrate by experiments that the method works effectively with short data, compared to other methods.
Trvalý link: http://hdl.handle.net/11104/0195125