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dc.contributor.authorGavin Wooden_US
dc.contributor.authorSimon O'Keefeen_US
dc.contributor.editorHolger H. Hoosen_US
dc.contributor.editorDavid Bainbridgeen_US
dc.date.accessioned2004-10-21T04:26:41Z
dc.date.available2004-10-21T04:26:41Z
dc.date.issued2003-10-26en_US
dc.identifier.isbn0-9746194-0-Xen_US
dc.identifier.urihttp://jhir.library.jhu.edu/handle/1774.2/54
dc.description.abstractWith 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.extent13498 bytes
dc.format.mimetypeapplication/pdf
dc.languageenen_US
dc.language.isoen_US
dc.publisherJohns Hopkins Universityen_US
dc.subjectIR Systems and Algorithmsen_US
dc.subjectAudioen_US
dc.titleQuantitative Comparisons into Content-Based Music Recognition with the Self Organising Mapen_US
dc.typearticleen_US


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