Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
37th (2023)
Session ID : 1F5-GS-5-03
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Effect of blending inheritance in experimental evolution of music styles using automatic composition
*Eita NAKAMURAHitomi KANEKOTakayuki ITOHKunihiko KANEKO
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Abstract

We report results of an experimental evolution to study the mechanism of music style evolution. Creative cultures including music are developed by descent-with-modification processes of knowledge about creating complex artifacts, but how new creation styles emerge and the influence of listeners/consumers through a social evaluation process are not well understood. To study these problems, we conducted an experiment where a population of automatic composition models, which simulate a population of human creators, evolves while being evaluated by many listeners. As a result, we found that adaptive evolutions of music styles can occur when blending inheritance of high-dimensional statistics representing composition styles is incorporated in the generation update process. A significant difference in musical preference depending on musical experience was also found. The results suggest a possibility of constructing a system of automatic composition in a new and preferred music style by the experimental framework.

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© 2023 The Japanese Society for Artificial Intelligence
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