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Latest Update (Mar 21, 2019)

It’s the start of spring, my friends, and we are very happy to announce the release of our next cool web tool, the Dig That Pattern Similarity Search. It allows to search the Weimar Jazz Database not only for exact interval and pitch patterns but also for similar ones, which opens completely new possibilites. It includes very cool visualizations, such as pattern networks and timelines, and many more features. Get started with a true bebop-ish example!

We also revised and extended the Dig That Pattern Search a bit.

If you want to meet us in person, you can do so at the upcoming Rhythm Changes conference in Graz (Apr 11-14, 2019), where the Dig That Lick project will have its own session on Friday afternoon with four talks. We will also atttend the Digital Humanities 2019 conference in Utrecht, where we will present two long papers.

Still don’t miss: Our book Inside the Jazzomat – New Perspectives for Jazz Research, the Pattern History Explorer, the Feature History Explorer, the Parker Pattern Explorer, and, of course, the awesome JazzTube.


Welcome to the Jazzomat Research Project hosted at the Hochschule für Musik Franz Liszt Weimar (University of Music Franz Liszt Weimar). The main aim of the project is to investigate the creative processes underlying jazz solo improvisations with the help of statistical and computational methods. The overarching goal is to explore the cognitive and cultural foundations of jazz solo improvisation. To this end, the Weimar Jazz Database, a comprehensive and representative database of jazz solo transcription is being built up, and an open-source Python Library, the MeloSpyLib is developed for analysis purposes. The project has a strong interdisciplinary approach situated at the intersection of jazz research, cognitive psychology of musical creativity, and computational and statistical musicology, exploring research issues and methods of all these disciplines. Furthermore, the project has intersections with and implications for music information retrieval (MIR).

Our main research goals are:

  • to describe and discriminate different jazz improvisation styles by various features, e.g., with regard to the relations of pitch to metre, tonality and the underlying chords;
  • to compare features of jazz improvisation with features in other styles and areas of music;
  • to explore the cognitive foundations of improvisation while testing theories about the cognition of creative processes, e.g., by determining recurring melodic and rhythmic patterns and their underlying melodic-rhythmic prototypes;
  • the dependence of improvisational material on external parameters like instrument, tempo, key and their interrelationship;
  • to evaluate and enhance pedagogical approaches towards jazz improvisation;
  • to test and enhance statistical methods of music analysis, e.g., measures of complexity and coherence.


Principal Investigator:

Prof. Dr. Martin Pfleiderer


Dr. Klaus Frieler

Dr.-Ing. Jakob Abeßer

Research Assistants:

Wolf-Georg Zaddach, MA

Benjamin Burkhart, MA

Friederike Bartel, BA

Student Assistants:

Transcription: Martin Breternitz, Peter Heppner, Yvette Kneisel, Benedikt Koch, Simon Meininger, Benjamin Napravnik, Albrecht Probst, Franziska Risch, Lydia Schulz, Amelie Zimmermann, Alaa Zouiten

Logo design: Sabrina Kim


Oct 2012 - March 2017: DFG (German Research Foundation), “Melodisch-rhythmische Gestaltung von Jazzimprovisationen. Rechnerbasierte Musikanalyse einstimmiger Jazzsoli” (DFG-PF 669/7-1).


The Jazzomat Research Project
Hochschule für Musik FRANZ LISZT Weimar
University of Music FRANZ LISZT Weimar
Jenaer Str. 2
99425 Weimar
Mail: martin.pfleiderer (at) hfm-weimar.de


For support inquiries please write to klaus.frieler (at) hfm-weimar.de.

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