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dc.contributor.authorBenetos, Een_US
dc.contributor.authorHolzapfel, Aen_US
dc.date.accessioned2016-02-17T11:51:13Z
dc.date.available2015-08-24en_US
dc.date.issued2015-10en_US
dc.date.submitted2016-02-05T16:57:09.135Z
dc.identifier.issn0001-4966en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/11122
dc.format.extent2118 - 2130en_US
dc.relation.ispartofJOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICAen_US
dc.rightsThe final publication is available at RSC via [URL] http://scitation.aip.org/content/asa/journal/jasa/138/4/10.1121/1.4930187
dc.titleAutomatic transcription of Turkish microtonal musicen_US
dc.typeArticle
dc.identifier.doi10.1121/1.4930187en_US
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000368186600027&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.issue4en_US
pubs.notes6 monthsen_US
pubs.notesPublisher's PDF can be stored in QMRO subject to 6 month embargo. This needs to be accompanied by the following copyroght statement: Copyright (2015) Acoustical Society of America. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the Acoustical Society of America. The article appeared in the Journal of the Acoustical Society of America, 138(4):2118-2130 and may be found at http://link.aip.org/link/?JAS/138/2118en_US
pubs.publication-statusPublisheden_US
pubs.volume138en_US
qmul.funderA Machine Learning Framework for Audio Analysis and Retrieval::Royal Academy of Engineeringen_US


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