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dc.contributor.authorSaari, Pen_US
dc.contributor.authorFazekas, Gen_US
dc.contributor.authorEerola, Ten_US
dc.contributor.authorBarthet, Men_US
dc.contributor.authorLartillot, Oen_US
dc.contributor.authorSandler, Men_US
dc.date.accessioned2018-01-31T10:28:30Z
dc.date.issued2016en_US
dc.date.submitted2018-01-12T16:55:19.545Z
dc.identifier.issn1949-3045en_US
dc.identifier.other2
dc.identifier.other2
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/31904
dc.format.extent122 - 135en_US
dc.relation.ispartofIEEE TRANSACTIONS ON AFFECTIVE COMPUTINGen_US
dc.subjectMusic information retrievalen_US
dc.subjectmood predictionen_US
dc.subjectsocial tagsen_US
dc.subjectsemantic computingen_US
dc.subjectmusic genreen_US
dc.subjectgenre-adaptiveen_US
dc.titleGenre-Adaptive Semantic Computing and Audio-Based Modelling for Music Mood Annotationen_US
dc.typeArticle
dc.rights.holder© Copyright 2018 IEEE
dc.identifier.doi10.1109/TAFFC.2015.2462841en_US
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000383995300002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.issue2en_US
pubs.notesNo embargoen_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.volume7en_US
qmul.funderAudio Commons: An Ecosystem for Creative Reuse of Audio Content::European Commissionen_US


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