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dc.contributor.authorYCART, Aen_US
dc.contributor.authorBenetos, Een_US
dc.contributor.authorDMRN+11: Digital Music Research Network One-day Workshop 2016en_US
dc.date.accessioned2017-02-14T16:38:57Z
dc.date.available2016-12-20en_US
dc.date.issued2016-12-20en_US
dc.date.submitted2017-02-10T14:29:46.539Z
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/19394
dc.description.abstractPolyphonic Automatic Music Transcription remains a challenging problem. Many studies focus on the extraction of features from audio signals; we focus here on Music Language Models that help turn those features into a musically meaningful piano-roll representation. We review related work on music language models, and propose ways to improve it.en_US
dc.publisherCentre for Digital Music, Queen Mary University of Londonen_US
dc.titleTowards a Music Language Model for Audio Analysisen_US
dc.typeConference Proceeding
dc.rights.holder© Centre for Digital Music, Queen Mary University of London
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.publisher-urlhttps://qmro.qmul.ac.uk/xmlui/handle/123456789/19345en_US
dcterms.dateAccepted2016-12-20en_US


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