The Jazzomat Research Project: Perspectives for Computational Jazz Studies
The Jazzomat Research Project is situated at the intersection of jazz research, cognitive psychology of creativity, and statistical music analysis. One central aim is to describe and discriminate styles of jazz improvisation by examining jazz solos of various artists and styles with the help of a large computer database and newly developed software tools. Moreover, we want to explore the cognitive foundations of improvisation, test theories about the cognition of creative processes, and evaluate and enhance pedagogical approaches towards jazz improvisation. Furthermore, the project generally aims at advancing statistical and computational methods of music analysis in various areas of music information retrieval.
The Jazzomat Research Project is funded by the German Research Foundation with a four and a half-year grant (September 2012 – March 2017). After four years of project runtime, the research workshop aims at presenting, sharing and discussing results of the project and at getting further theoretical and methodological input from international researchers with various areas of expertise. These include style analysis of jazz musicians and genres (session 1), psychology of creative processes (session 2), and music information retrieval, esp. audio-based music analysis and its interaction with symbolic music data (session 3).
Immediately before the Workshop, the first International Summer School on Computational Musicology will take place in Weimar (20th-22th September). The summer school will provide a comprehensive introduction into methods, applications, and potentials of computational musicology and music information retrieval and aims at students and young researchers. Results will be presented during the workshop.
The workshop is hosted by University of Music “Franz Liszt” Weimar, Department of Musicology Weimar-Jena, Carl-Alexander-Platz 1, Hochschulzentrum Am Horn, 99425 Weimar.
Funded by the German Research Foundation (DFG). Free entrance, but please register via e-mail: ed.ra1701391325miew-1701391325mfh@t1701391325amozz1701391325aj1701391325