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dc.contributor.authorHerremans, Den_US
dc.contributor.authorChuan, C-Hen_US
dc.contributor.authorChew, Een_US
dc.date.accessioned2018-02-02T15:58:03Z
dc.date.issued2017-11en_US
dc.date.submitted2018-01-18T06:52:32.113Z
dc.identifier.issn0360-0300en_US
dc.identifier.otherARTN 69
dc.identifier.otherARTN 69
dc.identifier.otherARTN 69en_US
dc.identifier.otherARTN 69en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/31991
dc.relation.ispartofACM COMPUTING SURVEYSen_US
dc.rightsThis is a pre-copyedited, author-produced version of an article accepted for publication in ACM COMPUTING SURVEYS following peer review. The version of record is available https://dl.acm.org/citation.cfm?doid=3145473.3108242
dc.subjectMusic generationen_US
dc.subjecttaxonomyen_US
dc.subjectfunctional surveyen_US
dc.subjectsurveyen_US
dc.subjectautomatic compositionen_US
dc.subjectalgorithmic compositionen_US
dc.titleA Functional Taxonomy of Music Generation Systemsen_US
dc.typeArticle
dc.rights.holderCopyright © 2017 held by the owner/author(s)
dc.identifier.doi10.1145/3108242en_US
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000418294100008&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.issue5en_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.volume50en_US


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