Machine musicianship
Design issues in interaction modeling for free improvisation
NIME '07 Proceedings of the 7th international conference on New interfaces for musical expression
An Automated Music Improviser Using a Genetic Algorithm Driven Synthesis Engine
Proceedings of the 2007 EvoWorkshops 2007 on EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog: Applications of Evolutionary Computing
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This paper describes recent enhancements in an interactive system designed to improvise with saxophonist John Butcher [1]. In addition to musical parameters such as pitch and loudness, our system is able to analyze timbral characteristics of the saxophone tone in real-time, and use timbral information to guide the generation of response material. We capture each saxophone gesture on the fly, extract a set of gestural and timbral contours, and store them in a repository. Improvising agents can consult the repository when generating responses. The gestural or timbral progression of a saxophone phrase can be remapped or transformed; this enables a variety of response material that also references audible contours of the original saxophone gestures. A single simple framework is used to manage gestural and timbral information extracted from analysis, and for expressive control of virtual instruments in a free improvisation context.