Optical music recognition: State-of-the-art and open issues

dc.contributor.authorRebelo, Ana
dc.contributor.authorFujinaga, Ichiro
dc.contributor.authorPaszkiewicz, Filipe
dc.contributor.authorMarcal, Andre R. S.
dc.contributor.authorGuedes, Carlos
dc.contributor.authorCardoso, Jaime S.
dc.date.accessioned2019-01-04T12:41:31Z
dc.date.available2019-01-04T12:41:31Z
dc.date.issued2012
dc.description.abstractFor centuries, music has been shared and remembered by two traditions: aural transmission and in the form of written documents normally called musical scores. Many of these scores exist in the form of unpublished manuscripts and hence they are in danger of being lost through the normal ravages of time. To preserve the music requires some form of typesetting or, ideally, a computer system that can automatically decode the symbolic images and create new scores. Programs analogous to optical character recognition systems called optical music recognition (OMR) systems have been under intensive development for many years. However, the results to date are far from ideal. Each of the proposed methods emphasizes different properties and therefore makes it difficult to effectively evaluate its competitive advantages. This article provides an overview of the literature concerning the automatic analysis of images of printed and handwritten musical scores. For self-containment and for the benefit of the reader, an introduction to OMR processing systems precedes the literature overview. The following study presents a reference scheme for any researcher wanting to compare new OMR algorithms against well-known ones.pt_PT
dc.description.sponsorshipPortuguese Foundation for Science and Technology) within project SFRH/BD/60359/2009pt_PT
dc.identifier.citationRebelo, A., Fujinaga, I., Paszkiewicz, F., Marcal, A. R. S., Guedes, C., & Cardoso, J. S. (2012). Optical music recognition: State-of-the-art and open issues. International Journal of Multimedia Information Retrieval, 1, 173-190. doi: 10.1007/s13735-012-0004-6. Disponível no Repositório UPT, http://hdl.handle.net/11328/2505pt_PT
dc.identifier.doi10.1007/s13735-012-0004-6pt_PT
dc.identifier.urihttp://hdl.handle.net/11328/2505
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.relation.publisherversionhttps://link.springer.com/article/10.1007/s13735-012-0004-6pt_PT
dc.rightsopen accesspt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectComputer musicpt_PT
dc.subjectImage processingpt_PT
dc.subjectMachine learningpt_PT
dc.subjectMusic performancept_PT
dc.titleOptical music recognition: State-of-the-art and open issuespt_PT
dc.typejournal articlept_PT
degois.publication.firstPage173pt_PT
degois.publication.lastPage190pt_PT
degois.publication.titleInternational Journal of Multimedia Information Retrievalpt_PT
degois.publication.volume1pt_PT
dspace.entity.typePublicationen

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