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dc.contributor.authorFerréol Soulezen_US
dc.contributor.authorXavier Rodeten_US
dc.contributor.authorDiemo Schwarzen_US
dc.contributor.editorHolger H. Hoosen_US
dc.contributor.editorDavid Bainbridgeen_US
dc.date.accessioned2004-10-21T04:26:29Z
dc.date.available2004-10-21T04:26:29Z
dc.date.issued2003-10-26en_US
dc.identifier.isbn0-9746194-0-Xen_US
dc.identifier.urihttp://jhir.library.jhu.edu/handle/1774.2/21
dc.description.abstractMusic alignment link events in a score and points on the audio performance time axis. All the parts of a recording can be thus indexed according to score information. The automatic alignment presented in this paper is based on a dynamic time warping methodology. Local distances are computed using the signal's spectral features through an attack plus sustain note modeling. Good alignment has been obtained for polyphony of up to five instruments. The method is robust for difficulties such as trills, vibratos and fast sequences. It provides an accurate indicator giving position of score interpretation errors and extra or forgotten notes. Implementation optimizations allow aligning long sound files in a relatively short time. Evaluation results have been obtained on piano jazz recordings.en_US
dc.format.extent348303 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherJohns Hopkins Universityen_US
dc.subjectMusic Analysisen_US
dc.titleImproving Polyphonic and Poly-Instrumental Music to Score Alignmenten_US
dc.typeArticleen_US


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