Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/41347
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dc.titleEffectiveness of signal segmentation for music content representation
dc.contributor.authorMaddage, N.C.
dc.contributor.authorKankanhalli, M.S.
dc.contributor.authorLi, H.
dc.date.accessioned2013-07-04T08:25:23Z
dc.date.available2013-07-04T08:25:23Z
dc.date.issued2008
dc.identifier.citationMaddage, N.C.,Kankanhalli, M.S.,Li, H. (2008). Effectiveness of signal segmentation for music content representation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4903 LNCS : 477-486. ScholarBank@NUS Repository.
dc.identifier.isbn3540774076
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/41347
dc.description.abstractIn this paper we compare the effectiveness of rhythm based signal segmentation technique with the traditional fixed length segmentation for music contents representation. We consider vocal regions, instrumental regions and chords which represent the harmony as different classes of music contents to be represented. The effectiveness of segmentation for music content representation is measured based on intra class feature stability, inter class high feature deviation and class modeling accuracy. Experimental results reveal music content representation is improved with rhythm based signal segmentation than with fixed length segmentation. With rhythm based segmentation, vocal and instrumental modeling accuracy and chord modeling accuracy are improved by 12% and 8% respectively. © Springer-Verlag Berlin Heidelberg 2008.
dc.sourceScopus
dc.subjectChord detection
dc.subjectMusic segmentation
dc.subjectVocal and instrumental regions
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.volume4903 LNCS
dc.description.page477-486
dc.identifier.isiutNOT_IN_WOS
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