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dc.contributor.authorGiannoulis, Den_US
dc.contributor.authorBenetos, Een_US
dc.contributor.authorKlapuri, Aen_US
dc.contributor.authorPlumbley, MDen_US
dc.contributor.authorIEEEen_US
dc.date.accessioned2014-07-04T07:32:09Z
dc.date.issued2014en_US
dc.identifier.issn1520-6149en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/5979
dc.description(c)2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Published in: Proc IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), Florence, Italy, 5-9 May 2014. pp. 5259-5263.
dc.descriptionpublicationstatus: published
dc.subjectMusical instrument recognitionen_US
dc.subjectautomatic music transcriptionen_US
dc.subjectmusic signal analysisen_US
dc.titleIMPROVING INSTRUMENT RECOGNITION IN POLYPHONIC MUSIC THROUGH SYSTEM INTEGRATIONen_US
dc.typeConference Proceeding
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000343655305051&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US


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