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dc.contributor.authorYcart, A
dc.contributor.authorLiu, L
dc.contributor.authorBenetos, E
dc.contributor.authorPearce, MT
dc.date.accessioned2021-02-09T11:16:04Z
dc.date.available2021-02-09T11:16:04Z
dc.date.issued2021
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/70213
dc.description.abstractThis technical report gives a detailed, formal description of the features introduced in the paper: Adrien Ycart, Lele Liu, Emmanouil Benetos and Marcus T. Pearce. "Investigating the Perceptual Validity of Evaluation Metrics for Automatic Piano Music Transcription", Transactions of the International Society for Music Information Retrieval (TISMIR), Accepted, 2020.en_US
dc.publisherTransactions of the International Society for Music Information Retrieval (TISMIRen_US
dc.subjectcs.SDen_US
dc.subjectcs.SDen_US
dc.subjectcs.IRen_US
dc.subjecteess.ASen_US
dc.titleMusical Features for Automatic Music Transcription Evaluationen_US
dc.rights.holder© 2021, The Author(s)
pubs.author-urlhttp://arxiv.org/abs/2004.07171v1en_US
pubs.confidentialfalseen_US
pubs.notesNot knownen_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US
qmul.funderA Machine Learning Framework for Audio Analysis and Retrieval::Royal Academy of Engineeringen_US


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