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Cognitive Approaches to Jazz

Music cognition is an emerging field that has grown enormously in recent years. This work-

ing group will provide a snapshot of some of the main methodologies and approaches to

understand the cognitive processes that are the foundation of musical perception, impro­

visation and interaction. We will cover research on tonal music and Jazz, bringing together

perspectives from music theory, computational modeling, and music psychology.

The working group will cover the following key topics:

–– the fundamental role of expectancy and expectancy formation in musical perception,

emotion, and performance

–– implicit knowledge and implicit learning as the basis for musical competence

–– mechanisms underlying consonance, dissonance, harmony, and music-evoked emotions

–– research bridging Jazz theory, formal languages, and computational modeling

–– computational models of musical structure, expectancy, and harmonic tension

Background knowledge in music theory, psychology or computational modeling will be help-

ful. However, this is no prerequisite and relevant information will be provided as needed dur-

ing the working group.

Prof. Dr. Martin Rohrmeier

Lehrstuhl für Systematische Musikwissenschaft mit dem Schwerpunkt

Musikkognition, TU Dresden

Robert Lieck

Machine Learning & Robotics Lab, Universität Stuttgart

Studierende aller Fächer mit einem Interesse an Jazz sowie an einem wissenschaft-

lichen oder theoretischen Zugang zur Musik


Jazz-Akademie Montepulciano