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dc.contributor.authorYang, Len_US
dc.contributor.authorRajab, KZen_US
dc.contributor.authorChew, Een_US
dc.date.accessioned2016-10-07T14:03:53Z
dc.date.accessioned2016-12-13T13:37:30Z
dc.date.available2016-11-19en_US
dc.date.issued2017en_US
dc.date.submitted2016-09-23T15:53:24.620Z
dc.date.submitted2016-11-25T11:04:35.566Z
dc.identifier.issn1745-9737en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/18242
dc.description.sponsorshipThis research is supported in part by the China Scholarship Councilen_US
dc.format.extent42 - 60en_US
dc.relation.ispartofJOURNAL OF MATHEMATICS AND MUSICen_US
dc.relation.replaceshttp://qmro.qmul.ac.uk/xmlui/handle/123456789/15782
dc.relation.replaces123456789/15782
dc.rightsThis is a pre-copyedited, author-produced version of an article accepted for publication in Journal Mathematics and Music following peer review. The version of record is available http://www.tandfonline.com/doi/abs/10.1080/17459737.2016.1263897
dc.subjectvibratoen_US
dc.subjectvibrato detectionen_US
dc.subjectfilter diagonalisation methoden_US
dc.subjectexpressive music performance analysisen_US
dc.subjectmusic information retrievalen_US
dc.titleThe filter diagonalisation method for music signal analysis: frame-wise vibrato detection and estimationen_US
dc.typeArticle
dc.rights.holder© Journal of Mathematics and Music
dc.identifier.doi10.1080/17459737.2016.1263897en_US
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000424578500003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.issue1en_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 - Electronic Engineering - Research Students
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/Faculty Reporting - Research Students
pubs.organisational-group/Queen Mary University of London/Faculty Reporting - Research Students/Faculty of Science & Engineering PGRs
pubs.organisational-group/Queen Mary University of London/REF
pubs.organisational-group/Queen Mary University of London/REF/REF - S&E - EECS UoA12
pubs.organisational-group/Queen Mary University of London/REF/REF - UoA 11
pubs.organisational-group/Queen Mary University of London/REF/REF - UoA 12
pubs.publication-statusPublisheden_US
pubs.volume11en_US


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