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Statements

Subject Item
n2:RIV%2F67985556%3A_____%2F10%3A00348111%21RIV11-MSM-67985556
rdf:type
skos:Concept n9:Vysledek
dcterms:description
Time-domain methods for blind separation of audio signals are preferred due to their lower demand for available data and the avoidance of the permutation problem. However, their computational demands increase rapidly with the length of separating filters due to the simultaneous growth of the dimension of an observation space. We propose, in this paper, a general framework that allows the time-domain methods to compute separating filters of theoretically infinite length without increasing the dimension. Based on this framework, we derive a generalized version of the time-domain method of Koldovsky and Tichavsky (2008). For instance, it is demonstrated that its performance might be improved by 4dB of SIR using the Laguerre filter bank. Time-domain methods for blind separation of audio signals are preferred due to their lower demand for available data and the avoidance of the permutation problem. However, their computational demands increase rapidly with the length of separating filters due to the simultaneous growth of the dimension of an observation space. We propose, in this paper, a general framework that allows the time-domain methods to compute separating filters of theoretically infinite length without increasing the dimension. Based on this framework, we derive a generalized version of the time-domain method of Koldovsky and Tichavsky (2008). For instance, it is demonstrated that its performance might be improved by 4dB of SIR using the Laguerre filter bank.
dcterms:title
Time-domain Blind Audio Source Separation Method Producing Separating Filters of Generalized Feedforward Structure Time-domain Blind Audio Source Separation Method Producing Separating Filters of Generalized Feedforward Structure
skos:prefLabel
Time-domain Blind Audio Source Separation Method Producing Separating Filters of Generalized Feedforward Structure Time-domain Blind Audio Source Separation Method Producing Separating Filters of Generalized Feedforward Structure
skos:notation
RIV/67985556:_____/10:00348111!RIV11-MSM-67985556
n4:aktivita
n15:Z n15:S n15:P
n4:aktivity
P(1M0572), P(GA102/09/1278), S, Z(AV0Z10750506)
n4:dodaniDat
n12:2011
n4:domaciTvurceVysledku
n19:4254988 n19:5803241
n4:druhVysledku
n8:D
n4:duvernostUdaju
n17:S
n4:entitaPredkladatele
n18:predkladatel
n4:idSjednocenehoVysledku
292926
n4:idVysledku
RIV/67985556:_____/10:00348111
n4:jazykVysledku
n21:eng
n4:klicovaSlova
blind source separation; audio; convolutive mixture
n4:klicoveSlovo
n14:convolutive%20mixture n14:audio n14:blind%20source%20separation
n4:kontrolniKodProRIV
[7C98F0049CC7]
n4:mistoKonaniAkce
St. Malo
n4:mistoVydani
Heidelberg
n4:nazevZdroje
Lecture Notes in Computer Science
n4:obor
n20:BB
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
3
n4:projekt
n5:GA102%2F09%2F1278 n5:1M0572
n4:rokUplatneniVysledku
n12:2010
n4:tvurceVysledku
Málek, J. Tichavský, Petr Koldovský, Zbyněk
n4:typAkce
n10:WRD
n4:zahajeniAkce
2010-09-27+02:00
n4:zamer
n13:AV0Z10750506
s:numberOfPages
8
n6:hasPublisher
Springer-Verlag
n16:isbn
978-3-642-15994-7