• Data Generation and Multi-Modal Analysis for Recorded Operatic Performance

    Author(s):
    Joshua Neumann (see profile)
    Date:
    2016
    Group(s):
    American Musicological Society, Digital Humanists, Digital Pedagogy, Performance Studies
    Subject(s):
    Archival studies, Data visualization, Digital archives
    Item Type:
    Conference proceeding
    Conf. Title:
    3rd International Digital Libraries for Musicology Workshop
    Conf. Org.:
    Digital Libraries for Musicology
    Conf. Loc.:
    New York, NY
    Conf. Date:
    12 August 2016
    Tag(s):
    Audio analysis, Data generation
    Permanent URL:
    http://dx.doi.org/10.17613/M66W9687T
    Abstract:
    Commercial recordings of live opera performance are only sporadically available, mostly due to various legal protections held by opera houses. The resulting onsite, archive-only access for them inhibits analysis of the creative process in "live" environments. Based on a technique I developed for generating performance data from copyright protected archival recordings, this paper presents a means of interrogating the creative practice in individual operatic performances and across the corpus of a recorded performance history. My analysis uses "In questa Reggia" from Giacomo Puccini's Turandot as performed at New York's Metropolitan Opera. The first part of my analysis builds on tempo mapping developed by the Centre for the History and Analysis of Recorded Music. Given the natural relationship in which performances of the same work exist, statistical and network analyses of the data extracted from a corpus of performances offer ways to contextualize and understand how performances create a tradition to which and through which they relate to varying degrees.
    Metadata:
    Published as:
    Conference proceeding    
    Status:
    Published
    Last Updated:
    1 week ago
    License:
    All Rights Reserved
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