• MEI and Verovio for MIR: A Minimal Computing Approach

    Author(s):
    Mark Saccomano
    Contributor(s):
    Natalia Ermolaev
    Editor(s):
    Elsa De Luca (see profile) , Julia Flanders
    Date:
    2020
    Group(s):
    Music Encoding Initiative
    Subject(s):
    Music, Digital humanities, Musicology
    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):
    mei, mir, minimal computing, digital archive, Digital musicology
    Permanent URL:
    http://dx.doi.org/10.17613/9xav-q378
    Abstract:
    While the increase in digital editions, online corpora, and browsable databases of encoded music presents an extraordinary resource for contemporary music scholarship, using these databases for computational research remains a complex endeavor. Although norms and standards have begun to emerge, and interoperability among different formats is often possible, researchers must devote considerable time to discover, learn, and maintain the skill sets necessary to make use of these resources. This talk will discuss our work with the Serge Prokofiev Archive and the creation of a prototype to browse, display, and play notated music from Prokofiev’s notebooks via a web browser. The project is an example of how using the principles of minimal computing can reduce the burden of technological expertise required to both disseminate and access encoded music.
    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:
    xml
    Status:
    Published
    Last Updated:
    3 years ago
    License:
    Attribution-NonCommercial-NoDerivatives
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