• Encoding Traditional Spanish Music for Pedagogical Purposes Through MEI: Challenges and Opportunities

    Author(s):
    Sara González Gutiérrez, Javier Merchán Sánchez-Jara, María Navarro Cáceres
    Editor(s):
    Stefan Münnich (see profile) , David Rizo
    Date:
    2022
    Group(s):
    Music Encoding Initiative
    Subject(s):
    Digital humanities, Music
    Item Type:
    Conference paper
    Conf. Title:
    Music Encoding Conference 2021
    Conf. Org.:
    University of Alicante
    Conf. Loc.:
    On-Site & Online
    Conf. Date:
    19–22 July 2021
    Tag(s):
    analytical encoding, MEI, Spanish Folk Music, Traditional music database
    Permanent URL:
    https://doi.org/10.17613/w639-8t53
    Abstract:
    This paper aims to highlight, as a case study, the encoding of a Spanish traditional music corpus using the MEI standard for the development of an interactive traditional music database focused on preserving and disseminating this type of cultural expression in the field of music education as well as ethnomusicology research. It analyzes the possibilities of the schemas and the guidelines followed to describe cancioneros at the bibliographic level, as an archetypal form of compiling traditional music in Spain, as well as the analytical aspects that highlight paradigmatic elements of this kind of music such as rhythmic patterns, tessituras, modal contexts, phrases, structural forms, etc.
    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
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