• Figured Bass Encodings for Bach Chorales in Various Symbolic Formats: A Case Study

    Author(s):
    Yaolong Ju
    Contributor(s):
    Ichiro Fujinaga, Sylvain Margot, Cory McKay
    Editor(s):
    Elsa De Luca (see profile) , Julia Flanders
    Date:
    2020
    Group(s):
    Music Encoding Initiative
    Subject(s):
    Music, Digital humanities
    Item Type:
    Conference proceeding
    Conf. Title:
    Music Encoding Conference 2020
    Conf. Org.:
    Tisch Library, Tufts University
    Conf. Loc.:
    Online
    Conf. Date:
    26-29 May 2020
    Tag(s):
    Music encoding, mei, dataset, bach, Annotation
    Permanent URL:
    http://dx.doi.org/10.17613/hcbz-5702
    Abstract:
    The computational study of figured bass remains an under-researched topic, likely due to the lack of machine- readable datasets. This paper is intended to address the paucity of digital figured bass data by 1) investigating procedures for systematically annotating symbolic music files with figured bass, and 2) producing and releasing a model annotated dataset as an illustration of how these procedures can be applied in practice. We introduce the Bach Chorales Figured Bass dataset, which includes 103 chorales composed by Johann Sebastian Bach that includes both the original music and figured bass annotations encoded in MusicXML, **kern, and MEI formats.
    Notes:
    The MEC 2020 conference was originally to be hosted at Tisch Library and Lilly Music Library of Tufts University on the Medford, MA campus. It is co-sponsored with the Department of Music at Tufts, Digital Scholarship Group at Northeastern University Library, and MIT Digital Humanities.
    Metadata:
    Status:
    Published
    Last Updated:
    7 months ago
    License:
    Attribution-NonCommercial-NoDerivatives
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