Quantitative Comparisons into Content-Based Music Recognition with the Self Organising Map

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dc.contributor.author Gavin Wood en_US
dc.contributor.author Simon O'Keefe en_US
dc.contributor.editor Holger H. Hoos en_US
dc.contributor.editor David Bainbridge en_US
dc.date.accessioned 2004-10-21T04:26:41Z
dc.date.available 2004-10-21T04:26:41Z
dc.date.issued 2003-10-26 en_US
dc.identifier.isbn 0-9746194-0-X en_US
dc.identifier.uri http://jhir.library.jhu.edu/handle/1774.2/54
dc.description.abstract With so much modern music being so widely available both in electronic form and in more traditional physical formats, a great opportunity exists for the development of a general-purpose recognition and music classification system. We describe an ongoing investigation into the subject of musical recognition purely by the sonic content from a standard recording. en_US
dc.description.provenance Made available in DSpace on 2004-10-21T04:26:41Z (GMT). No. of bitstreams: 1 paper.pdf: 13498 bytes, checksum: 31e875671d68d07a42f554d886cae7ed (MD5) Previous issue date: 2003-10-26 en
dc.format.extent 13498 bytes
dc.format.mimetype application/pdf
dc.language en en_US
dc.language.iso en_US
dc.publisher Johns Hopkins University en_US
dc.subject IR Systems and Algorithms en_US
dc.subject Audio en_US
dc.title Quantitative Comparisons into Content-Based Music Recognition with the Self Organising Map en_US
dc.type article en_US

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