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dc.contributor.authorMesaros, Aen_US
dc.contributor.authorHeittola, Ten_US
dc.contributor.authorBenetos, Een_US
dc.contributor.authorFoster, Pen_US
dc.contributor.authorLagrange, Men_US
dc.contributor.authorVirtanen, Ten_US
dc.contributor.authorPlumbley, MDen_US
dc.date.accessioned2017-11-29T10:46:03Z
dc.date.available2017-11-19en_US
dc.date.issued2018-02en_US
dc.date.submitted2017-11-24T04:05:53.958Z
dc.identifier.issn2329-9290en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/28982
dc.format.extent379 - 393en_US
dc.relation.ispartofIEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSINGen_US
dc.subjectAcoustic scene classificationen_US
dc.subjectaudio datasetsen_US
dc.subjectpattern recognitionen_US
dc.subjectsound event detectionen_US
dc.titleDetection and Classification of Acoustic Scenes and Events: Outcome of the DCASE 2016 Challengeen_US
dc.typeArticle
dc.rights.holder© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works.
dc.identifier.doi10.1109/TASLP.2017.2778423en_US
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000418297800014&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.issue2en_US
pubs.notesNo embargoen_US
pubs.publication-statusPublisheden_US
pubs.volume26en_US
qmul.funderA Machine Learning Framework for Audio Analysis and Retrieval::Royal Academy of Engineeringen_US


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