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Short-term Feature Space and Music Genre Classification

dc.contributor.authorMarques, Gonçalo
dc.contributor.authorLanglois, Thibault
dc.contributor.authorGouyon, Fabien
dc.contributor.authorLopes, Miguel
dc.contributor.authorSordo, Mohamed
dc.date.accessioned2013-02-16T18:33:09Z
dc.date.available2013-02-16T18:33:09Z
dc.date.issued2011
dc.description.abstractIn music genre classification, most approaches rely on statistical characteristics of low-level features computed on short audio frames. In these methods, it is implicitly considered that frames carry equally relevant information loads and that either individual frames, or distributions thereof, somehow capture the specificities of each genre. In this paper we study the representation space defined by short-term audio features with respect to class boundaries, and compare different processing techniques to partition this space. These partitions are evaluated in terms of accuracy on two genre classification tasks, with several types of classifiers. Experiments show that a randomized and unsupervised partition of the space, used in conjunction with a Markov Model classifier lead to accuracies comparable to the state of the art. We also show that unsupervised partitions of the space tend to create less hubs.por
dc.identifier.citationMARQUES, Gonçalo; LANGLOIS, Thibault; GOUYON, Fabien; LOPES, Miguel; SORDO, Mohamed - Short-term Feature Space and Music Genre Classification. Journal of New Music Research. ISSN 0929-8215. Vol. 40, n.º 2 (2011) p. 127-137.por
dc.identifier.issn0929-8215
dc.identifier.urihttp://hdl.handle.net/10400.21/2238
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherRoutledge Journalspor
dc.subjectShort-term Feature Spacepor
dc.subjectMusic Genre Classificationpor
dc.titleShort-term Feature Space and Music Genre Classificationpor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceOxfordshirepor
oaire.citation.endPage137por
oaire.citation.issue2por
oaire.citation.startPage127por
oaire.citation.titleJournal of New Music Researchpor
oaire.citation.volume40por
rcaap.rightsrestrictedAccesspor
rcaap.typearticlepor

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