Show simple item record

dc.contributor.authorValero-Mas, JJen_US
dc.contributor.authorBenetos, Een_US
dc.contributor.authorIñesta, JMen_US
dc.contributor.author9th International Workshop on Machine Learning and Musicen_US
dc.date.accessioned2016-09-05T13:03:08Z
dc.date.available2016-07-30en_US
dc.date.issued2016-09-23en_US
dc.date.submitted2016-08-15T19:37:24.176Z
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/14957
dc.description.abstractNote tracking constitutes a key process in Automatic Music Transcription as it derives a note-level transcription from a frame-based pitch activation representation. While this stage is commonly performed using a set of hand-crafted rules, this work presents an approach based on supervised classification which automatically infers these policies. An initial frame-level estimation provides the necessary information for segmenting each pitch band in single instances which are later classified as active or non-active note events. Preliminary results using classic classification strategies on a subset of the MAPS piano dataset report an improvement of up to a 15% when compared to the baseline considered for both frame-level and note-level assessment.en_US
dc.format.extent61 - 65 (5)en_US
dc.titleClassification-based Note Tracking for Automatic Music Transcriptionen_US
dc.typeConference Proceeding
pubs.notesNot knownen_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-urlhttps://sites.google.com/site/musicmachinelearning16/en_US
dcterms.dateAccepted2016-07-30en_US
qmul.funderA Machine Learning Framework for Audio Analysis and Retrieval::Royal Academy of Engineeringen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record