| dc.contributor.author | Lordelo, C | en_US |
| dc.contributor.author | Benetos, E | en_US |
| dc.contributor.author | Dixon, S | en_US |
| dc.contributor.author | Ahlback, S | en_US |
| dc.contributor.author | IEEE | en_US |
| dc.date.accessioned | 2019-08-13T10:49:58Z | |
| dc.date.available | 2019-07-15 | en_US |
| dc.date.issued | 2019 | en_US |
| dc.identifier.issn | 1931-1168 | en_US |
| dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/59067 | |
| dc.format.extent | 40 - 44 | en_US |
| dc.subject | Harmonic-percussive source separation | en_US |
| dc.subject | DenseNet | en_US |
| dc.subject | MDenseNet | en_US |
| dc.subject | kernel shapes | en_US |
| dc.subject | deep learning | en_US |
| dc.subject | music separation | en_US |
| dc.title | INVESTIGATING KERNEL SHAPES AND SKIP CONNECTIONS FOR DEEP LEARNING-BASED HARMONIC-PERCUSSIVE SEPARATION | en_US |
| dc.type | Conference Proceeding | |
| dc.rights.holder | © 2019 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:000527800200009&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6a | en_US |
| pubs.notes | Not known | en_US |
| pubs.publication-status | Published | en_US |
| rioxxterms.funder | Default funder | en_US |
| rioxxterms.identifier.project | Default project | en_US |
| qmul.funder | A Machine Learning Framework for Audio Analysis and Retrieval::Royal Academy of Engineering | en_US |
| qmul.funder | A Machine Learning Framework for Audio Analysis and Retrieval::Royal Academy of Engineering | en_US |
