Show simple item record

dc.contributor.supervisor Zhang, John Z.
dc.contributor.author Arjannikov, Tom
dc.date.accessioned 2015-01-29T19:48:59Z
dc.date.available 2015-01-29T19:48:59Z
dc.date.issued 2014
dc.identifier.uri https://hdl.handle.net/10133/3630
dc.description.abstract Music Information Retrieval aims to automate the access to large-volume music data, including browsing, retrieval, storage, etc. The work presented in this thesis tackles two non-trivial problems in the field. First problem deals with music tags, which provide descriptive and rich information about a music piece, including its genre, artist, emotion, instrument, etc. At present, tag annotation is largely a manual process, which often results in tags that are subjective, ambiguous, and error-prone. We propose a novel approach to verify the quality of tag annotation in a music dataset through association analysis. Second, we employ association analysis to predict music genres based on features extracted directly from music. We build an association-based classifier, which finds inherent associations between music features and genres. We demonstrate the effectiveness of our approaches through a series of simulations and experiments using various benchmark music datasets. en_US
dc.language.iso en_CA en_US
dc.publisher Lethbridge, Alta. : University of Lethbridge, Dept. of Mathematics and Computer Science en_US
dc.relation.ispartofseries Thesis (University of Lethbridge. Faculty of Arts and Science) en_US
dc.subject data mining en_US
dc.subject machine learning en_US
dc.subject information retrieval en_US
dc.subject music information retrieval en_US
dc.title Verifying tag annotation and performing genre classification in music data via association analysis en_US
dc.type Thesis en_US
dc.publisher.faculty Arts and Science en_US
dc.publisher.department Department of Mathematics and Computer Science en_US
dc.degree.level Masters en_US
dc.degree.level Masters
dc.proquest.subject 0984 en_US
dc.proquest.subject 0800 en_US
dc.proquest.subject 0413 en_US
dc.proquestyes Yes en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record