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Cited 8 time in webofscience Cited 23 time in scopus
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dc.contributor.authorKim, M-
dc.contributor.authorChoi, S-
dc.date.accessioned2016-04-01T01:58:00Z-
dc.date.available2016-04-01T01:58:00Z-
dc.date.created2009-02-28-
dc.date.issued2006-01-
dc.identifier.issn0302-9743-
dc.identifier.other2006-OAK-0000005817-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/24109-
dc.description.abstractIn this paper we present a method for polyphonic music source separation from their monaural mixture, where the underlying assumption is that the harmonic structure of a musical instrument remains roughly the same even if it is played at various pitches and is recorded in various mixing environments. We incorporate with nonnegativity, shift-invariance, and sparseness to select representative spectral basis vectors that are used to restore music sources from their monaural mixture. Experimental results with monaural instantaneous mixture of voice/cello and monaural convolutive mixture of saxophone/viola, are shown to confirm the validity of our proposed method.-
dc.description.statementofresponsibilityX-
dc.languageEnglish-
dc.publisherSPRINGER-VERLAG BERLIN-
dc.relation.isPartOfLECTURE NOTES IN COMPUTER SCIENCE-
dc.titleMonaural music source separation: Nonnegativity, sparseness, and shift-invariance-
dc.typeArticle-
dc.contributor.college컴퓨터공학과-
dc.identifier.doi10.1007/11679363_77-
dc.author.googleKim, M-
dc.author.googleChoi, S-
dc.relation.volume3889-
dc.relation.startpage617-
dc.relation.lastpage624-
dc.contributor.id10077620-
dc.relation.journalLECTURE NOTES IN COMPUTER SCIENCE-
dc.relation.indexSCI급, SCOPUS 등재논문-
dc.relation.sciSCIE-
dc.collections.nameConference Papers-
dc.type.rimsART-
dc.identifier.bibliographicCitationLECTURE NOTES IN COMPUTER SCIENCE, v.3889, pp.617 - 624-
dc.identifier.wosid000236486300077-
dc.date.tcdate2019-01-01-
dc.citation.endPage624-
dc.citation.startPage617-
dc.citation.titleLECTURE NOTES IN COMPUTER SCIENCE-
dc.citation.volume3889-
dc.contributor.affiliatedAuthorChoi, S-
dc.identifier.scopusid2-s2.0-33745711481-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.wostc8-
dc.type.docTypeArticle; Proceedings Paper-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-

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최승진CHOI, SEUNGJIN
Dept of Computer Science & Enginrg
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