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dc.contributor.authorPanteli, Men_US
dc.contributor.authorBenetos, Een_US
dc.contributor.authorDixon, Sen_US
dc.date.accessioned2018-01-19T14:33:16Z
dc.date.available2017-12-13en_US
dc.date.issued2018en_US
dc.date.submitted2017-12-15T13:33:57.547Z
dc.identifier.issn0929-8215en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/31440
dc.format.extent176 - 189en_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 http://www.tandfonline.com/doi/full/10.1080/09298215.2017.1418896
dc.subjectMusic information retrievalen_US
dc.subjectethnomusicologyen_US
dc.subjectcomparative musicologyen_US
dc.subjectworld musicen_US
dc.subjectcorpus analysisen_US
dc.titleA review of manual and computational approaches for the study of world music corporaen_US
dc.typeArticle
dc.rights.holder© 2018 Taylor and Francis
dc.identifier.doi10.1080/09298215.2017.1418896en_US
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000427946000006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.issue2en_US
pubs.notes18 monthsen_US
pubs.notesEmbargo according to journal guidelinesen_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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