Design and evaluation of dynamic feature-based segmentation on music

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dc.contributor.authorBefus, Chad R.
dc.contributor.authorUniversity of Lethbridge. Faculty of Arts and Science
dc.contributor.supervisorZhang, John Z.
dc.date.accessioned2011-09-06T18:21:42Z
dc.date.available2011-09-06T18:21:42Z
dc.date.issued2010
dc.degree.levelMasters
dc.descriptionviii, 94 leaves : ill. ; 29 cmen_US
dc.description.abstractSegmentation is an indispensable step in the field of Music Information Retrieval (MIR). Segmentation refers to the splitting of a music piece into significant sections. Classically there has been a great deal of attention focused on various issues of segmentation, such as: perceptual segmentation vs. computational segmentation, segmentation evaluations, segmentation algorithms, etc. In this thesis, we conduct a series of perceptual experiments which challenge several of the traditional assumptions with respect to segmentation. Identifying some deficiencies in the current segmentation evaluation methods, we present a novel standardized evaluation approach which considers segmentation as a supportive step towards feature extraction in the MIR process. Furthermore, we propose a simple but effective segmentation algorithm and evaluate it utilizing our evaluation approach.en_US
dc.identifier.urihttps://hdl.handle.net/10133/2531
dc.language.isoen_USen_US
dc.publisherLethbridge, Alta. : University of Lethbridge, Dept. of Mathematics and Computer Science, c2010en_US
dc.publisher.departmentDepartment of Mathematics and Computer Scienceen_US
dc.publisher.facultyArts and Scienceen_US
dc.relation.ispartofseriesThesis (University of Lethbridge. Faculty of Arts and Science)en_US
dc.subjectMelodic analysis -- Data processingen_US
dc.subjectMusical analysis -- Data processingen_US
dc.subjectMusic and technologyen_US
dc.subjectSignal processing -- Digital techniquesen_US
dc.subjectPattern recognition systemsen_US
dc.subjectDissertations, Academicen_US
dc.titleDesign and evaluation of dynamic feature-based segmentation on musicen_US
dc.typeThesisen_US
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