• Preventing conversion failure across encoding formats: A transcription protocol and representation scheme considerations

    Author(s):
    Emilia Parada-Cabaleiro
    Contributor(s):
    Álvaro Torrente
    Editor(s):
    Elsa De Luca (see profile) , Julia Flanders
    Date:
    2020
    Group(s):
    Music Encoding Initiative
    Subject(s):
    Music, Digital humanities
    Item Type:
    Conference poster
    Conf. Title:
    Music Encoding Conference 2020
    Conf. Org.:
    Tisch Library, Tufts University
    Conf. Loc.:
    Online
    Conf. Date:
    26-29 May 2020
    Tag(s):
    mei, Music encoding
    Permanent URL:
    http://dx.doi.org/10.17613/etwb-m434
    Abstract:
    Conversion issues across musical symbolic representations, such as musicXML, MEI, and humdrum, are well known. Often, these depend on methodological choices undertaken during the generation and processing of the data. For a better under-standing of this topic, we present a transcription protocol, result of trial and error transcription attempts performed with Finale engraving software, which aims to prevent conversion errors (Verovio 2.1.0 and VHV were taken into account for conversion) from musicXML (export format from Finale) to MEI and **kern (symbolic representations also evaluated).
    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:
    2 years ago
    License:
    Attribution-NonCommercial-NoDerivatives
    Share this:

    Downloads

    Item Name: pdf proceedings_2020_parada.pdf
      Download View in browser
    Activity: Downloads: 54