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dc.contributor.authorChoi, Ken_US
dc.contributor.authorFazekas, Gen_US
dc.contributor.authorSandler, Men_US
dc.date.accessioned2016-10-26T10:02:06Z
dc.date.issued2016en_US
dc.date.submitted2016-06-14T14:49:31.871Z
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/16082
dc.descriptiondate-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/10.1145/1235en_US
dc.descriptiondate-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/10.1145/1235en_US
dc.description.sponsorshipThis 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 Awarden_US
dc.titleTowards Playlist Generation Algorithms Using RNNs Trained on Within-Track Transitionsen_US
dc.typeConference Proceeding
dc.identifier.doi10.1145/1235en_US
pubs.notesNo embargoen_US
pubs.publisher-urlhttp://ceur-ws.org/Vol-1618/SOAP_paper4.pdfen_US
qmul.funderFusing Semantic and Audio Technologies for Intelligent Music Production and Consumption::Engineering and Physical Sciences Research Councilen_US


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