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dc.contributor.authorValero-Mas, JJen_US
dc.contributor.authorBenetos, Een_US
dc.contributor.authorIñesta, JMen_US
dc.contributor.author2017 AES International Conference on Semantic Audioen_US
dc.date.accessioned2017-04-12T13:24:30Z
dc.date.available2017-03-22en_US
dc.date.issued2017-06-22en_US
dc.date.submitted2017-04-03T17:40:58.512Z
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/22497
dc.format.extent? - ? (8)en_US
dc.publisherAudio Engineering Societyen_US
dc.rights© 2017 Audio Engineering Society
dc.titleAssessing the Relevance of Onset Information for Note Tracking in Piano Music Transcriptionen_US
dc.typeConference Proceeding
dc.identifier.doi10.17743/aesconf.2017.978-1-942220-15-2en_US
pubs.notesNo embargoen_US
pubs.organisational-group/Queen Mary University of London
pubs.organisational-group/Queen Mary University of London/Faculty of Science & Engineering
pubs.organisational-group/Queen Mary University of London/Faculty of Science & Engineering/Electronic Engineering and Computer Science - Staff
pubs.organisational-group/Queen Mary University of London/REF
pubs.organisational-group/Queen Mary University of London/REF/REF - UoA 11
pubs.publication-statusPublisheden_US
pubs.publisher-urlhttp://www.aes.org/conferences/2017/semantic/en_US
dcterms.dateAccepted2017-03-22en_US
qmul.funderA Machine Learning Framework for Audio Analysis and Retrieval::Royal Academy of Engineeringen_US


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