Skip to main content

Computational Music Aesthetics: a survey and some thoughts

Kalonaris, Stefano, Jordanous, Anna (2018) Computational Music Aesthetics: a survey and some thoughts. In: 3rd Conference on Computational Simulation of Musical Creativity, 20-22 August 2018, Dublin, Ireland. (KAR id:67600)

PDF (Camera ready copy - official final copy will be made openly available at Author's Accepted Manuscript
Language: English
Download (240kB) Preview
Official URL


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.

Item Type: Conference or workshop item (Paper)
Uncontrolled keywords: Computational Aesthetics, Computational Creativity, Music Aesthetic
Subjects: B Philosophy. Psychology. Religion > BH Aesthetics
M Music and Books on Music > M Music
Q Science > Q Science (General) > Q335 Artificial intelligence
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.76 Computer software
Divisions: Faculties > Sciences > School of Computing
Faculties > Sciences > School of Computing > Computational Intelligence Group
Faculties > Sciences > School of Computing > Data Science
Depositing User: Anna Jordanous
Date Deposited: 11 Jul 2018 15:07 UTC
Last Modified: 29 May 2019 20:43 UTC
Resource URI: (The current URI for this page, for reference purposes)
Jordanous, Anna:
  • Depositors only (login required):


Downloads per month over past year