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dc.contributor.authorBenetos, Een_US
dc.contributor.authorDixon, Sen_US
dc.contributor.authorGiannoulis, Den_US
dc.contributor.authorKirchhoff, Hen_US
dc.contributor.authorKlapuri, Aen_US
dc.date.accessioned2015-07-20T16:00:59Z
dc.date.issued2013-12en_US
dc.identifier.issn0925-9902en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/7938
dc.descriptionpublicationstatus: published
dc.descriptionpublicationstatus: published
dc.description.sponsorshipE. Benetos is funded by a City University London Research Fellowship. D. Giannoulis and H. Kirchhoff are funded by a Queen Mary University of London CDTA Studentship. We acknowledge the support of the MIReS project, supported by the European Commission, FP7, ICT-2011.1.5 Networked Media and Search Systems, grant agreement No 287711en_US
dc.format.extent407 - 434en_US
dc.language.isoenen_US
dc.relation.ispartofJOURNAL OF INTELLIGENT INFORMATION SYSTEMSen_US
dc.subjectMusic signal analysisen_US
dc.subjectMusic information retrievalen_US
dc.subjectAutomatic music transcriptionen_US
dc.titleAutomatic music transcription: challenges and future directionsen_US
dc.typeArticle
dc.identifier.doi10.1007/s10844-013-0258-3en_US
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000326932800004&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.issue3en_US
pubs.notesNot knownen_US
pubs.organisational-group/Queen Mary University of London
pubs.organisational-group/Queen Mary University of London/Faculty of Science & Engineering
pubs.organisational-group/Queen Mary University of London/Faculty of Science & Engineering/Electronic Engineering and Computer Science - Staff
pubs.organisational-group/Queen Mary University of London/REF
pubs.organisational-group/Queen Mary University of London/REF/REF - UoA 11
pubs.publication-statusPublisheden_US
pubs.volume41en_US


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