Assessing the Relevance of Onset Information for Note Tracking in Piano Music Transcription
dc.contributor.author | Valero-Mas, JJ | en_US |
dc.contributor.author | Benetos, E | en_US |
dc.contributor.author | Inesta, JM | en_US |
dc.date.accessioned | 2017-04-12T13:24:30Z | |
dc.date.available | 2017-03-22 | en_US |
dc.date.issued | 2017 | en_US |
dc.date.submitted | 2017-04-03T17:40:58.512Z | |
dc.identifier.uri | http://qmro.qmul.ac.uk/xmlui/handle/123456789/22497 | |
dc.rights | © 2017 Audio Engineering Society | |
dc.title | Assessing the Relevance of Onset Information for Note Tracking in Piano Music Transcription | en_US |
dc.type | Conference Proceeding | |
pubs.author-url | https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000576944100024&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6a | en_US |
pubs.notes | No embargo | en_US |
pubs.publication-status | Published | en_US |
qmul.funder | A Machine Learning Framework for Audio Analysis and Retrieval::Royal Academy of Engineering | en_US |