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Annotation of Medieval Music Facsimiles Using ‘Good Enough’ OMR
- Author(s):
- Joshua Stutter
- Editor(s):
- Stefan Münnich (see profile) , David Rizo
- Date:
- 2022
- Group(s):
- Music Encoding Initiative
- Subject(s):
- Digital humanities, Machine learning, Middle Ages, Music
- Item Type:
- Conference proceeding
- Conf. Title:
- Music Encoding Conference 2021
- Conf. Org.:
- University of Alicante
- Conf. Loc.:
- On-Site & Online
- Conf. Date:
- 19–22 July 2021
- Tag(s):
- Notre Dame, transcription, Medieval
- Permanent URL:
- https://doi.org/10.17613/5ssz-2n19
- Abstract:
- The Clausula Archive of the Notre Dame Repertory (CANDR) is an in-progress PhD project with the aim of cataloguing, transcribing and analysing digital facsimiles of the thirteenth-century repertory commonly termed Notre Dame polyphony, and a secondary aim of providing new datasets and analytical tools for studying medieval polyphony. This poster highlights the use in the project of (a) a new methodology for de-skewing facsimile images, and (b) average symbol masks in an OMR–enhanced workflow with an emphasis on creating an OMR workflow that is ‘good enough’ to accelerate the annotation of an image dataset of particularly transitional notation.
- Notes:
- The MEC 2021 was hosted at Universidad de Alicante. It was sponsored by the Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital de la Generalitat Valenciana (ref. AORG/2021/095), the Instituto de Investigación Informática de la Universidad de Alicante (IUII), co-sponsored with the Instituto Superior de Enseñanzas Artísticas de la Comunidad Valenciana (ISEA.CV), and generously supported by the Social Sciences and Humanities Research Council of the Government of Canada (SSHRC).
- Metadata:
- xml
- Status:
- Published
- Last Updated:
- 1 year ago
- License:
- Attribution-NonCommercial-NoDerivatives
- Share this:
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