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dc.contributor.advisorTro, Jannb_NO
dc.contributor.authorGunderson, Steinar Heimdalnb_NO
dc.date.accessioned2014-12-19T13:43:59Z
dc.date.accessioned2015-12-22T11:41:44Z
dc.date.available2014-12-19T13:43:59Z
dc.date.available2015-12-22T11:41:44Z
dc.date.created2010-09-04nb_NO
dc.date.issued2007nb_NO
dc.identifier348446nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/2369313
dc.description.abstractA simple system for recognizing music is presented, based on various musical descriptors, numbers that describe some aspect of the music. Various descriptors are discussed; in particular, a novel descriptor, the floor-1 cepstral coefficient (F1CC) measure, a refinement of MFCCs based on the Vorbis psychoacoustical model is presented and evaluated. Also, various forms of statistical dimensionality reduction, among them PCA and LDA, are considered in the present context. Finally, a few directions for future work are discussed.nb_NO
dc.languageengnb_NO
dc.publisherInstitutt for elektronikk og telekommunikasjonnb_NO
dc.subjectntnudaimno_NO
dc.titleMusical descriptors: An assessment of psychoacoustical models in the presence of lossy compressionnb_NO
dc.typeMaster thesisnb_NO
dc.source.pagenumber124nb_NO
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for elektronikk og telekommunikasjonnb_NO


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