dc.contributor.author | Choi, K | en_US |
dc.contributor.author | Fazekas, G | en_US |
dc.contributor.author | Sandler, M | en_US |
dc.date.accessioned | 2016-10-26T10:02:06Z | |
dc.date.issued | 2016 | en_US |
dc.date.submitted | 2016-06-14T14:49:31.871Z | |
dc.identifier.uri | http://qmro.qmul.ac.uk/xmlui/handle/123456789/16082 | |
dc.description | date-added: 2017-12-22 14:17:02 +0000 date-modified: 2017-12-22 15:19:16 +0000 keywords: playlist generation, semantic audio, music transition modeling local-url: https://arxiv.org/pdf/1606.02096.pdf bdsk-url-1: http://ceur-ws.org/Vol-1618/SOAP_paper4.pdf bdsk-url-2: https://dx.doi.org/10.1145/1235 | en_US |
dc.description | date-added: 2017-12-22 14:17:02 +0000 date-modified: 2017-12-22 15:19:16 +0000 keywords: playlist generation, semantic audio, music transition modeling local-url: https://arxiv.org/pdf/1606.02096.pdf bdsk-url-1: http://ceur-ws.org/Vol-1618/SOAP_paper4.pdf bdsk-url-2: https://dx.doi.org/10.1145/1235 | en_US |
dc.description.sponsorship | This work was part funded by the “Fusing Audio and Semantic Technologies for Intelligent Music Production and Consumption” (FAST IMPACt) EPSRC Grant EP/L019981/1 and the European Commission H2020 research and innovation grant AudioCommons (688382). Sandler acknowledges the support of the Royal Society as a recipient of a Wolfson Research Merit Award | en_US |
dc.title | Towards Playlist Generation Algorithms Using RNNs Trained on Within-Track Transitions | en_US |
dc.type | Conference Proceeding | |
dc.identifier.doi | 10.1145/1235 | en_US |
pubs.notes | No embargo | en_US |
pubs.publisher-url | http://ceur-ws.org/Vol-1618/SOAP_paper4.pdf | en_US |
qmul.funder | Fusing Semantic and Audio Technologies for Intelligent Music Production and Consumption::Engineering and Physical Sciences Research Council | en_US |