Investigating affect in algorithmic composition systems

Duncan Williams, Alexis Kirke, Eduardo R Miranda, Etienne Roesch, Ian Daly, Slawomir Nasuto
2014 Psychology of Music  
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
more » ... ropriate, 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. Affective algorithmic composition (AAC) is a field which combines computer aided composition and emotional assessment. The field presents an interdisciplinary challenge to music psychologists, composers, and computer music researchers. This article presents an overview and summary of AAC systems and their uses. In order for a system to be considered AAC it should include some implementation of affect, usually an affective target. The affective target might be a single affective descriptor, a combination of descriptors, or a position on a dimensional model. This field has been termed affective algorithmic composition in recent work (
doi:10.1177/0305735614543282 fatcat:zhnr4gvvh5fjbot34ngyunqpum