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dc.contributor.authorPhan, Hen_US
dc.contributor.authorMaas, Men_US
dc.contributor.authorMazur, Ren_US
dc.contributor.authorMertins, Aen_US
dc.date.accessioned2020-06-17T10:24:00Z
dc.date.issued2014-11-07en_US
dc.identifier.issn2329-9290en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/65049
dc.format.extent20 - 31en_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofIEEE/ACM Transactions on Audio, Speech, and Language Processingen_US
dc.titleRandom Regression Forests for Acoustic Event Detection and Classificationen_US
dc.typeArticle
dc.rights.holder© 2014 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.2014.2367814en_US
pubs.issue1en_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.volume23en_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US


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