Computational systems for music improvisation
Toby Gifford, Shelly Knotts, Jon McCormack, Stefano Kalonaris, Matthew John Yee-King, Mark d’Inverno · Digital Creativity · 2018
Computational music systems that afford improvised creative interaction in real time are often designed for a specific improviser and performance style. As such the field is diverse, fragmented and lacks a coherent framework. Through analysis of examples in the field, we identify key areas of concern in the design of new systems, which we use as categories in the construction of a taxonomy. From our broad overview of the field, we select significant examples to analyse in greater depth. This analysis serves to derive principles that may aid designers scaffold their work on existing innovation. We explore successful evaluation techniques from other fields and describe how they may be applied to iterative design processes for improvisational systems. We hope that by developing a more coherent design and evaluation process, we can support the next generation of improvisational music systems.