Encoding Polyphony from Medieval Manuscripts Notated in Mensural Notation

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dc.contributorReconocimiento de Formas e Inteligencia Artificiales_ES
dc.contributor.authorDesmond, Karen-
dc.contributor.authorPugin, Laurent-
dc.contributor.authorRegimbal, Juliette-
dc.contributor.authorRizo, David-
dc.contributor.authorSapp, Craig-
dc.contributor.authorThomae, Martha E.-
dc.contributor.otherUniversidad de Alicante. Departamento de Lenguajes y Sistemas Informáticoses_ES
dc.date.accessioned2022-05-19T10:45:41Z-
dc.date.available2022-05-19T10:45:41Z-
dc.date.issued2022-05-18-
dc.identifier.citationDesmond, Karen, et al. “Encoding Polyphony from Medieval Manuscripts Notated in Mensural Notation”. In: Münnich, Stefan; Rizo, David (Eds.). Music Encoding Conference Proceedings 2021, 19–22 July, 2021 University of Alicante (Spain): Onsite & Online. Alicante: Universidad de Alicante, 2022. ISBN 978-84-1302-173-7, pp. 197-219es_ES
dc.identifier.isbn978-84-1302-173-7-
dc.identifier.urihttp://hdl.handle.net/10045/123683-
dc.description.abstractThis panel submission for the 2021 Music Encoding Conference brings together five short papers that focus on the making of computer-readable encodings of polyphony in the notational style – mensural notation – in which it was originally copied. Mensural notation was used in the medieval West to encode polyphony from the late thirteenth to sixteenth centuries. The Measuring Polyphony (MP) Online Editor, funded by an NEH Digital Humanities Advancement Grant, is a software that enables non-technical users to make Humdrum and MEI encodings of mensural notation, and links these encodings to digital images of the manuscripts in which these compositions were first notated. Topics explored by the authors include: the processes of, and the goals informing, the linking of manuscript images to music encodings; choices and compromises made in the development process of the MP Editor in order to facilitate its rapid deployment; and the implications of capturing dual encodings – a parts-based encoding that reflects the layout of the original source, and a score-based encoding. Having two encodings of the music data is useful for a variety of activities, including performance and analysis, but also within the editorial process, and for sharing data with other applications. The authors present two case studies that document the possibilities and potential in the interchange of music data between the MP Editor and other applications, specifically, MuRET, an optical music recognition (OMR) tool, and Humdrum analysis tools.es_ES
dc.description.sponsorshipThe authors gratefully acknowledge The National Endowment for the Humanities, Fonds de recherche du Québec – Société et culture (FRQSC), Bourse au doctorat en recherche (13D - Musique) 2019-B2Z-261749, Alex Morgan, postdoc for the Josquin Research Project (2017), for his work on the “Renaissance dissonance labels” filter in collaboration with Craig Sapp, the Spanish Ministry HISPAMUS project TIN2017-86576-R, and the MultiScore Project, I+D+i PID2020-118447RA-I00, funded by MCIN/AEI/10.13039/50110001103.es_ES
dc.languageenges_ES
dc.publisherUniversidad de Alicantees_ES
dc.rightsPublished in 2022 with Humanities Commons under a CC BY-NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) license.es_ES
dc.subjectMusic encodinges_ES
dc.subjectPolyphonyes_ES
dc.subjectMedieval manuscriptses_ES
dc.subjectMensural notationes_ES
dc.subject.otherLenguajes y Sistemas Informáticoses_ES
dc.subject.otherMúsicaes_ES
dc.titleEncoding Polyphony from Medieval Manuscripts Notated in Mensural Notationes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.peerreviewedsies_ES
dc.relation.publisherversionhttp://hdl.handle.net/10045/123637es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-86576-Res_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-118447RA-I00es_ES
Aparece en las colecciones:Music Encoding Conference 2021 - Proceedings
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