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Time-Domain Blind Separation of Audio Sources on the Basis of a Complete ICA Decomposition of an Observation Space
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SYSNO ASEP 0356661 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název Time-Domain Blind Separation of Audio Sources on the Basis of a Complete ICA Decomposition of an Observation Space Tvůrce(i) Koldovský, Zbyněk (UTIA-B) RID
Tichavský, Petr (UTIA-B) RID, ORCIDZdroj.dok. IEEE Transactions on Audio Speech and Language Processing - ISSN 1558-7916
Roč. 19, č. 2 (2011), s. 406-416Poč.str. 11 s. Jazyk dok. eng - angličtina Země vyd. US - Spojené státy americké Klíč. slova blind source separation ; audio ; speech Vědní obor RIV BI - Akustika a kmity CEP 1M0572 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy GA102/09/1278 GA ČR - Grantová agentura ČR CEZ AV0Z10750506 - UTIA-B (2005-2011) UT WOS 000291717600016 EID SCOPUS 84907567733 DOI 10.1109/TASL.2010.2049411 Anotace 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. Pracoviště Ústav teorie informace a automatizace Kontakt Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Rok sběru 2011
Počet záznamů: 1