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Challenging sources: a new dataset for OMR of diverse 19th-century music theory examples

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dc.contributorReconocimiento de Formas e Inteligencia Artificiales_ES
dc.contributor.authorMoss, Fabian C.-
dc.contributor.authorNápoles López, Néstor-
dc.contributor.authorKöster, Maik-
dc.contributor.authorRizo, David-
dc.contributor.otherUniversidad de Alicante. Departamento de Lenguajes y Sistemas Informáticoses_ES
dc.date.accessioned2022-12-01T08:41:27Z-
dc.date.available2022-12-01T08:41:27Z-
dc.date.issued2022-11-
dc.identifier.citationMoss, Fabian C., et al. “Challenging sources: a new dataset for OMR of diverse 19th-century music theory examples”. In: Calvo-Zaragoza, Jorge; Pacha, Alexander; Shatri, Elona (Eds.). Proceedings of the 4th International Workshop on Reading Music Systems, 18th November, 2022, pp. 4-8es_ES
dc.identifier.urihttp://hdl.handle.net/10045/130002-
dc.description.abstractA major limitation of current Optical Music Recognition (OMR) systems is that their performance strongly depends on the variability in the input images. What for human readers seems almost trivial—e.g., reading music in a range of different font types in different contexts—can drastically reduce the output quality of OMR models. This paper introduces the 19MT-OMR corpus that can be used to test OMR models on a diverse set of sources. We illustrate this challenge by discussing several examples from this dataset.es_ES
dc.description.sponsorshipThis research was supported by the Collaborative Research on Science and Society (CROSS) program of École Polytechnique Fédérale de Lausanne (EPFL) and Université de Lausanne (UNIL) for the project “Digitizing the Dualism Debate: a case study in the computational analysis of historical music theory sources”.es_ES
dc.languageenges_ES
dc.publisherWorkshop on Reading Music Systemses_ES
dc.rights© The respective authors. Licensed under a Creative Commons Attribution 4.0 International License (CC-BY-4.0).es_ES
dc.subjectOptical music recognitiones_ES
dc.subjectHistorical sourceses_ES
dc.subjectDiversityes_ES
dc.subjectMusic theoryes_ES
dc.subjectDigital humanitieses_ES
dc.titleChallenging sources: a new dataset for OMR of diverse 19th-century music theory exampleses_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.peerreviewedsies_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
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