Board of Trustees of the University of Illinois (Champaign, IL 61801-3620)
Gabriel P. Solis (Project Director: June 2016 to May 2021)
Hélène Papadopoulos (Co Project Director: June 2016 to May 2021)
Martin Pfleiderer (Co Project Director: June 2016 to May 2021)
Simon Dixon (Co Project Director: June 2016 to May 2021)
Participating institutions:
University of Illinois (Champaign, IL) - Applicant/Recipient
Music University Franz Liszt Weimar (Weimar) - Participating Institution
National Center for Scientific Research (Paris) - Participating Institution
Queen Mary University of London (London) - Participating Institution
HJ-253587-17
Digging into Data
Digital Humanities
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[White paper]
Totals:
$199,982 (approved)
$193,009 (awarded)
Grant period:
4/1/2017 – 7/31/2020
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Analyzing Large-Scale Data for Patterns in Jazz
The study of influence and sharing among musicians
through a computational analysis of jazz recordings and related resources. The
project team includes researchers from the University of Illinois,
Urbana-Champaign and Columbia University (US), National Center for Scientific
Research (France), University of Music Franz Liszt (Germany), and Queen Mary
University of London and City University London (UK). Co-funding provided by
CNRS (France), DFG (Germany), and ESRC/AHRC (UK).
The recorded legacy of jazz spans a century and provides a vast corpus of data documenting its development. Recent advances in digital signal processing and data analysis technologies enable automatic recognition of musical structures and their linkage through metadata to historical and social context. Automatic metadata extraction and aggregation give unprecedented access to large collections, fostering new interdisciplinary research opportunities. This project aims to develop innovative technological and music-analytical methods to gain fresh insight into jazz history by bringing together renowned scholars and results from several high-profile projects. Musicologists and computer scientists will together create a deeper and more comprehensive understanding of jazz in its social and cultural context. We exemplify our methods via a full cycle of analysis of melodic patterns, or "licks," from audio recordings to an aesthetically contextualised and historically situated understanding.
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