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dc.contributor.authorMiller, Jen_US
dc.contributor.authorLewis, Den_US
dc.contributor.authorGuo, Zen_US
dc.contributor.authorLi, Yen_US
dc.contributor.authorMa, Yen_US
dc.contributor.authorVahidi, Cen_US
dc.contributor.authorBoon, Hen_US
dc.contributor.authorWolstanholme, Len_US
dc.contributor.authorGil Panal, JMen_US
dc.contributor.authorHayes, Ben_US
dc.contributor.authorHanslip, Men_US
dc.contributor.authorHawley, SHen_US
dc.contributor.authorDMRN+17: Digital Music Research Network One-day Workshop 2022en_US
dc.contributor.editorDixon, Sen_US
dc.contributor.editorCaspe, Fen_US
dc.contributor.editorCardinale, Sen_US
dc.contributor.editorBort, Aen_US
dc.date.accessioned2023-06-09T15:11:03Z
dc.date.available2022-12-15en_US
dc.date.issued2022-12-20en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/88838
dc.description.abstractDMRN+17: Digital Music Research Network One-day Workshop 2022 Queen Mary University of London - Tuesday 20th December 2022. The Digital Music Research Network (DMRN) aims to promote research in the area of Digital Music, by bringing together researchers from UK and overseas universities and industry for its annual workshop. The workshop will include invited and contributed talks and posters. The workshop will be an ideal opportunity for networking with other people working in the area. Keynote speakers: Sander Dieleman Tittle: On generative modelling and iterative refinement. Bio: Sander Dieleman is a Research Scientist at DeepMind in London, UK, where he has worked on the development of AlphaGo and WaveNet. He obtained his PhD from Ghent University in 2016, where he conducted research on feature learning and deep learning techniques for learning hierarchical representations of musical audio signals. His current research interests include representation learning and generative modelling of perceptual signals such as speech, music and visual data. DMRN+17 is sponsored by The UKRI Centre for Doctoral Training in Artificial Intelligence and Music (AIM); a leading PhD research programme aimed at the Music/Audio Technology and Creative Industries, based at Queen Mary University of London.en_US
dc.publisherCentre for Digital Music - C4DMen_US
dc.subjectdigital music researchen_US
dc.subjectAritificial Intelligence and musicen_US
dc.titleDMRN+17: Digital Music Research Network One-day Workshop 2022en_US
dc.typeConference Proceeding
dc.rights.holder© 2022 The Author(s). Published by QMUL
pubs.declined2023-05-31T14:16:25.960+0100
pubs.notesNot knownen_US
pubs.place-of-publicationLondonen_US
pubs.publication-statusPublished onlineen_US
pubs.publisher-urlhttps://www.qmul.ac.uk/dmrn/dmrn17/en_US
dcterms.dateAccepted2022-12-15en_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US
qmul.funderUKRI Centre for Doctoral Training in Artificial Intelligence and Music::Engineering and Physical Sciences Research Councilen_US


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