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Conference object . 2018
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Conference object . 2018
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Conference object . 2018
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Computational Music Aesthetics

Authors: Kalonaris, Stefano; Jordanous, Anna;

Computational Music Aesthetics

Abstract

While computational aesthetic evaluation has been applied to images and visual output, it is not as widely employed for generative music systems. Computational aesthetic evaluation is not to be confounded with numerical evaluation of the system's output; such a notion is in danger of offering a reduced and impoverished interpretation of the aesthetic experience, which is innately dialogical, between the creator or the user, the sociological context, and the creative process or product. This paper reviews common computational aesthetic measures that have been used for musical applications, whilst arguing for a pragmatist perspective and a framework foregrounding the primacy of intentionality and agency in inducing aesthetic responses.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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