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dc.contributor.authorHaruto Takedaen_US
dc.contributor.authorTakuya Nishimotoen_US
dc.contributor.authorShigeki Sagayamaen_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/1774.2/53
dc.description.abstractFor automatically transcribing human-performed polyphonic music recorded in the MIDI format, rhythm and tempo are decomposed through probabilistic modeling using Viterbi search in HMM for recognizing the rhythm and EM algorithm for estimating the tempo. Experimental evaluation are also presented.en_US
dc.format.extent86884 bytes
dc.format.mimetypeapplication/pdf
dc.languageenen_US
dc.language.isoen_US
dc.publisherJohns Hopkins Universityen_US
dc.subjectMusic Analysisen_US
dc.subjectPerception and Cognitionen_US
dc.titleAutomatic Music Transcription from Multiphonic MIDI Signalsen_US
dc.typearticleen_US


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