dc.contributor.author | McLeod, A | en_US |
dc.contributor.author | Schramm, R | en_US |
dc.contributor.author | Steedman, M | en_US |
dc.contributor.author | Benetos, E | en_US |
dc.date.accessioned | 2017-12-19T10:40:11Z | |
dc.date.available | 2017-12-04 | en_US |
dc.date.issued | 2017-12 | en_US |
dc.date.submitted | 2017-12-11T13:12:25.112Z | |
dc.identifier.issn | 2076-3417 | en_US |
dc.identifier.other | 1285 | |
dc.identifier.other | 1285 | |
dc.identifier.other | ARTN 1285 | en_US |
dc.identifier.other | ARTN 1285 | en_US |
dc.identifier.other | ARTN 1285 | en_US |
dc.identifier.uri | http://qmro.qmul.ac.uk/xmlui/handle/123456789/30824 | |
dc.relation.ispartof | APPLIED SCIENCES-BASEL | en_US |
dc.rights | This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0). | |
dc.subject | automatic music transcription | en_US |
dc.subject | multi-pitch detection | en_US |
dc.subject | voice assignment | en_US |
dc.subject | music signal analysis | en_US |
dc.subject | music language models | en_US |
dc.subject | polyphonic vocal music | en_US |
dc.subject | music information retrieval | en_US |
dc.title | Automatic Transcription of Polyphonic Vocal Music | en_US |
dc.type | Article | |
dc.rights.holder | © The Author(s) 2017 | |
dc.identifier.doi | 10.3390/app7121285 | en_US |
pubs.author-url | http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000419175800081&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6a | en_US |
pubs.issue | 12 | en_US |
pubs.notes | No embargo | en_US |
pubs.notes | Article is open access with a CC BY license. | en_US |
pubs.publication-status | Published | en_US |
pubs.volume | 7 | en_US |
qmul.funder | A Machine Learning Framework for Audio Analysis and Retrieval::Royal Academy of Engineering | en_US |
qmul.funder | A Machine Learning Framework for Audio Analysis and Retrieval::Royal Academy of Engineering | en_US |