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dc.contributor.authorFrank Seiferten_US
dc.contributor.authorWolfgang Bennen_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/1774.2/52
dc.description.abstractMost experimental research on content-based automatic recognition and identification of musical documents is founded on statistical distribution of timbre or simple retrieval mechanisms like comparison of melodic segments. Therefore often a vast number of relevant and irrelevant hits including multiple appearances of the same documents are returned or the actual document can’t be revealed at all. To improve this situation we propose a model for recognition of music that enables identification and comparison of musical documents without dependence on their actual instantiation. The resulting structures enclose musical meaning and can be used for estimation of identity and semantic relationship between musical documents.en_US
dc.format.extent414677 bytes
dc.format.mimetypeapplication/pdf
dc.languageenen_US
dc.language.isoen_US
dc.publisherJohns Hopkins Universityen_US
dc.subjectMusic Analysisen_US
dc.subjectDigital Librariesen_US
dc.titleMusic identification by Leadsheetsen_US
dc.typearticleen_US


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