Investigating affect in algorithmic composition systems

Duncan Williams; Alexis Kirke; Eduardo R Miranda; Etienne Roesch; Ian Daly; Slawomir Nasuto

doi:10.1177/0305735614543282

Investigating affect in algorithmic composition systems

Duncan Williams, Alexis Kirke, Eduardo R Miranda, Etienne Roesch, Ian Daly, Slawomir Nasuto

Computer Science

Research output: Contribution to journal › Article › peer-review

Abstract

There has been a significant amount of work implementing systems for algorithmic composition with the intention of targeting specific emotional responses in the listener, but a full review of this work is not currently available. This gap creates a shared obstacle to those entering the field. Our aim is thus to give an overview of progress in the area of these affectively driven systems for algorithmic composition. Performative and transformative systems are included and differentiated where appropriate, highlighting the challenges these systems now face if they are to be adapted to, or have already incorporated, some form of affective control. Possible real-time applications for such systems, utilizing affectively driven algorithmic composition and biophysical sensing to monitor and induce affective states in the listener are suggested.

Original language	English
Pages (from-to)	831-854
Number of pages	24
Journal	Psychology of Music
Volume	43
Issue number	6
DOIs	https://doi.org/10.1177/0305735614543282
Publication status	Published - 15 Aug 2014

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10.1177/0305735614543282

https://doi.org/10.1177/0305735614543282

Cite this

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title = "Investigating affect in algorithmic composition systems",

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AU - Roesch, Etienne

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