About: Time-domain Blind Audio Source Separation Using Advanced Component Clustering and Reconstruction

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	We present a novel time-domain method for blind separation of convolutive mixture of audio sources (the cocktail party problem). The method allows efficient separation with good signal-to-interference ratio (SIR) and signal-to-distortion ratio (SDR) using short data segments only. In practice, we are able to separate 2-4 speakers from audio recording of the length less than 6000 samples, which is less than 1-s in the 8-kHz sampling. The average time needed to process the data with filter of the length 20 was 2.2 seconds in Matlab v.-7.2 on an ordinary PC with 3GHz processor. We present a novel time-domain method for blind separation of convolutive mixture of audio sources (the cocktail party problem). The method allows efficient separation with good signal-to-interference ratio (SIR) and signal-to-distortion ratio (SDR) using short data segments only. In practice, we are able to separate 2-4 speakers from audio recording of the length less than 6000 samples, which is less than 1-s in the 8-kHz sampling. The average time needed to process the data with filter of the length 20 was 2.2 seconds in Matlab v.-7.2 on an ordinary PC with 3GHz processor. (en)
Title	Time-domain Blind Audio Source Separation Using Advanced Component Clustering and Reconstruction Time-domain Blind Audio Source Separation Using Advanced Component Clustering and Reconstruction (en)
skos:prefLabel	Time-domain Blind Audio Source Separation Using Advanced Component Clustering and Reconstruction Time-domain Blind Audio Source Separation Using Advanced Component Clustering and Reconstruction (en)
skos:notation	RIV/67985556:_____/08:00307438!RIV10-MSM-67985556
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(1M0572), P(GP102/07/P384), Z(AV0Z10750506)
http://linked.open...vai/riv/dodaniDat	2010
http://linked.open...aciTvurceVysledku	Tichavský, Petr Koldovský, Zbyněk
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Ústav teorie informace a automatizace AV ČR, v. v. i.
http://linked.open...dnocenehoVysledku	400073
http://linked.open...ai/riv/idVysledku	RIV/67985556:_____/08:00307438
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	blind source separation; audio signals (en)
http://linked.open.../riv/klicoveSlovo	blind source separation audio signals
http://linked.open...ontrolniKodProRIV	[C8DF25E11C36]
http://linked.open...v/mistoKonaniAkce	Trento
http://linked.open...i/riv/mistoVydani	Trento
http://linked.open...i/riv/nazevZdroje	2008 Hands-free Speech Communication and Microphone Arrays
http://linked.open...in/vavai/riv/obor	BI
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Data, algorithms, decision making Application of State-of-the-art Methods for Independent Component Analysis on Blind Separation of Real Signals
http://linked.open...UplatneniVysledku	2008
http://linked.open...iv/tvurceVysledku	Koldovský, Zbyněk Tichavský, Petr
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2008-05-06 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Pokročilé matematické metody získávání, zpracování a využití informací a znalostí ve složitých a nedeterministických systémech
number of pages	4 (xsd:int)
http://purl.org/ne...btex#hasPublisher	IEEE
https://schema.org/isbn	978-1-4244-2337-8
is http://linked.open...avai/riv/vysledek of	Time-domain Blind Audio Source Separation Using Advanced Component Clustering and Reconstruction Time-domain Blind Audio Source Separation Using Advanced Component Clustering and Reconstruction Time-domain Blind Audio Source Separation Using Advanced Component Clustering and Reconstruction Time-domain Blind Audio Source Separation Using Advanced Component Clustering and Reconstruction

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