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

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.format.extent	13498 bytes
dc.format.mimetype	application/pdf
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