Computational Systems for Music Improvisation

Gifford, Toby; Knotts, Shelly; McCormack, Jon; Kalonaris, Stefano; Yee-King, Matthew and d'Inverno, Mark. 2018. Computational Systems for Music Improvisation. Digital Creativity, 29(1), pp. 19-36. ISSN 1462-6268 [Article]

ComputationalSystemsImprovisation_PrePrint.pdf - Accepted Version
Available under License Creative Commons Attribution.

Download (2MB) | Preview

Abstract or Description

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.

Item Type:


Identification Number (DOI):


Improvisational interfaces, evaluation, computational creativity, generative music, creative agency

Departments, Centres and Research Units:



22 January 2018Accepted
22 February 2018Published

Item ID:


Date Deposited:

15 Feb 2018 09:36

Last Modified:

22 Jul 2019 01:26

Peer Reviewed:

Yes, this version has been peer-reviewed.


View statistics for this item...

Edit Record Edit Record (login required)