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Grant number: HJ-253587-17

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HJ-253587-17

University of Illinois, Urbana-Champaign (Urbana, IL 61820-5711)
Gabriel Solis (Project Director: 06/29/2016 to present)
Hélène Papadopoulos (Co Project Director: 06/29/2016 to present)
Martin Pfleiderer (Co Project Director: 06/29/2016 to present)
Simon Dixon (Co Project Director: 06/29/2016 to present)

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.

Participating institutions:
University of Illinois, Urbana-Champaign (Urbana, IL) - Applicant/Grantee
Music University Franz Liszt Weimar (Weimar, ZZ) - Participating institution
National Center for Scientific Research (Paris, ZZ) - Participating institution
Queen Mary University of London (London, ZZ) - Participating institution

Project fields:

Program:
Digging into Data

Division:
Digital Humanities

Total amounts:
$199,982 (approved)
$199,982 (awarded)

Grant period:
4/1/2017 – 3/31/2020