| dc.contributor.author | Lafay, G | en_US |
| dc.contributor.author | Benetos, E | en_US |
| dc.contributor.author | Lagrange, M | en_US |
| dc.contributor.author | IEEE | en_US |
| dc.date.accessioned | 2017-08-17T10:16:37Z | |
| dc.date.available | 2017-06-27 | en_US |
| dc.date.issued | 2017 | en_US |
| dc.date.submitted | 2017-07-16T10:17:29.411Z | |
| dc.identifier.issn | 1931-1168 | en_US |
| dc.identifier.uri | http://qmro.qmul.ac.uk/xmlui/handle/123456789/25293 | |
| dc.format.extent | 11 - 15 | en_US |
| dc.subject | Sound event detection | en_US |
| dc.subject | experimental validation | en_US |
| dc.subject | DCASE | en_US |
| dc.subject | acoustic scene analysis | en_US |
| dc.subject | sound scene analysis | en_US |
| dc.title | SOUND EVENT DETECTION IN SYNTHETIC AUDIO: ANALYSIS OF THE DCASE 2016 TASK RESULTS | en_US |
| dc.type | Conference Proceeding | |
| 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. | |
| pubs.author-url | http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000426939000004&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6a | en_US |
| pubs.notes | No embargo | en_US |
| pubs.notes | Follows standard IEEE conference guidelines | en_US |
| pubs.publication-status | Published | en_US |
| qmul.funder | A Machine Learning Framework for Audio Analysis and Retrieval::Royal Academy of Engineering | en_US |
