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dc.contributor.authorMarinelli, L
dc.contributor.authorFAZEKAS, G
dc.contributor.authorSaitis, C
dc.contributor.author24th International Society for Music Information Retrieval Conference
dc.date.accessioned2023-10-05T14:04:37Z
dc.date.available2023-06-10
dc.date.available2023-10-05T14:04:37Z
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/91180
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.titleGender-Coded Sound: Analysing the Gendering of Music in Toy Commercials via Multi-Task Learningen_US
dc.typeConference Proceedingen_US
pubs.notesNot knownen_US
pubs.publication-statusAccepteden_US
dcterms.dateAccepted2023-06-10
qmul.funderUKRI Centre for Doctoral Training in Artificial Intelligence and Music::Engineering and Physical Sciences Research Councilen_US


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Attribution 3.0 United States
Except where otherwise noted, this item's license is described as Attribution 3.0 United States