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Statements

Subject Item
n2:RIV%2F46747885%3A24220%2F12%3A%230002026%21RIV13-MSM-24220___
rdf:type
n10:Vysledek skos:Concept
rdfs:seeAlso
http://www.scopus.com/
dcterms:description
We propose a semi-blind method for separation of stereo recordings of several sources. The method begins with computation of a set of cancellation filters for potential fixed positions of the sources. These filters are computed from one-source-only intervals selected upon cross-talk detection. Each source in some of the fixed positions is canceled by the corresponding filter, by which the other sources are separated. The former source can be then separated by adaptive suppression of the separated sources. To select the appropriate cancellation filter, we use Independent Component Analysis. The performance of the proposed method is verified on real-world SiSEC data with two fixed and/or moving sources We propose a semi-blind method for separation of stereo recordings of several sources. The method begins with computation of a set of cancellation filters for potential fixed positions of the sources. These filters are computed from one-source-only intervals selected upon cross-talk detection. Each source in some of the fixed positions is canceled by the corresponding filter, by which the other sources are separated. The former source can be then separated by adaptive suppression of the separated sources. To select the appropriate cancellation filter, we use Independent Component Analysis. The performance of the proposed method is verified on real-world SiSEC data with two fixed and/or moving sources
dcterms:title
Semi-Blind Source Separation Based on ICA and Overlapped Speech Detection Semi-Blind Source Separation Based on ICA and Overlapped Speech Detection
skos:prefLabel
Semi-Blind Source Separation Based on ICA and Overlapped Speech Detection Semi-Blind Source Separation Based on ICA and Overlapped Speech Detection
skos:notation
RIV/46747885:24220/12:#0002026!RIV13-MSM-24220___
n10:predkladatel
n17:orjk%3A24220
n4:aktivita
n20:I n20:S
n4:aktivity
I, S
n4:dodaniDat
n12:2013
n4:domaciTvurceVysledku
n8:4254988 n8:7657641
n4:druhVysledku
n16:D
n4:duvernostUdaju
n7:S
n4:entitaPredkladatele
n14:predkladatel
n4:idSjednocenehoVysledku
167396
n4:idVysledku
RIV/46747885:24220/12:#0002026
n4:jazykVysledku
n15:eng
n4:klicovaSlova
Audio Source Separation
n4:klicoveSlovo
n6:Audio%20Source%20Separation
n4:kontrolniKodProRIV
[A31360AA086E]
n4:mistoKonaniAkce
Tel Aviv; Israel
n4:nazevZdroje
10th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2012
n4:obor
n19:JD
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
3
n4:rokUplatneniVysledku
n12:2012
n4:tvurceVysledku
Koldovský, Zbyněk Málek, Jiří Tichavský, P.
n4:typAkce
n9:WRD
n4:zahajeniAkce
2012-03-12+01:00
s:issn
0302-9743
s:numberOfPages
8
n13:doi
10.1007/978-3-642-28551-6_57
n22:hasPublisher
Springer-Verlag
n18:isbn
978-3-642-28550-9
n23:organizacniJednotka
24220