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  1. Proceedings of the 3rd International workshop on Digital Libraries for Musicology (DLfM 2016)
  2. Data Generation and Multi-Modal Analysis for Recorded Operatic Performance
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Representing and Linking Music Performance Data with Score Information
Approaches to handwritten conductor annotation extraction in musical scores
MORTY: A Toolbox for Mode Recognition and Tonic Identification
Document Analysis for Music Scores via Machine Learning
In Collaboration with In Concert: Reflecting a Digital Library as Linked Data for Performance Ephemera
Exploring J-DISC: Some Preliminary Analyses
A standard format proposal for hierarchical analyses and representations
Digitizing musical scores: Challenges and opportunities for libraries
Data Generation and Multi-Modal Analysis for Recorded Operatic Performance
Mining metadata from the web for AcousticBrainz
The Music Addressability API: A draft specification for addressing portions of music notation on the web

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Data Generation and Multi-Modal Analysis for Recorded Operatic Performance

Content Provider ACM Digital Library
Author Neumann, Joshua
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.
Starting Page 49
Ending Page 52
Page Count 4
File Format PDF
ISBN 9781450347518
DOI 10.1145/2970044.2970045
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2016-08-12
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Data generation Network analysis Archival recordings Opera
Content Type Text
Resource Type Article
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