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dc.contributor.authorValero-Mas, JJen_US
dc.contributor.authorBenetos, Een_US
dc.contributor.authorInesta, JMen_US
dc.date.accessioned2018-04-12T14:29:14Z
dc.date.available2018-03-05en_US
dc.date.issued2018en_US
dc.date.submitted2018-03-10T09:18:39.724Z
dc.identifier.issn0929-8215en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/36298
dc.format.extent249 - 263en_US
dc.relation.ispartofJOURNAL OF NEW MUSIC RESEARCHen_US
dc.rightsThis is a pre-copyedited, author-produced version of an article accepted for publication in Journal of New Music Research following peer review. The version of record is available https://www.tandfonline.com/doi/full/10.1080/09298215.2018.1451546
dc.subjectNote trackingen_US
dc.subjectpolyphonic piano transcriptionen_US
dc.subjectonset detectionen_US
dc.subjectsupervised classificationen_US
dc.subjectmachine learningen_US
dc.subjectaudio analysisen_US
dc.titleA supervised classification approach for note tracking in polyphonic piano transcriptionen_US
dc.typeArticle
dc.rights.holderCopyright © 2018 Informa UK Limited
dc.identifier.doi10.1080/09298215.2018.1451546en_US
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000442290300004&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.issue3en_US
pubs.notes18 monthsen_US
pubs.notesAccording to SHERPA/RoMEO guidelines for the Journal of New Music Research, postprint can be archived, but: "On institutional repository, subject-based repository or academic social network (Mendeley, ResearchGate or Academia.edu) after a 18 months embargo"en_US
pubs.publication-statusPublisheden_US
pubs.volume47en_US
qmul.funderA Machine Learning Framework for Audio Analysis and Retrieval::Royal Academy of Engineeringen_US


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