Locating%20Emergent%20Creativity%20with%20Similarity%20Metrics
Abstract

Using corpora of 19 common-practice tonal composers, this article uses a variety of similarity metrics including cluster analyses and cross entropy to identify points of particular stylistic uniqueness. Throughout four computational experiments, we find that geography and chronology determine much inter-corpus similarity; however, points of dissimilarity – in particular, dissimilarities between larger groupings of similar composers – are described. Specific properties of stylistic imitations are also investigated and found to be more normative than average. These data are interpreted to arise due to emergent phenomena rather than being driven by individual “creative” composers.

How to Cite
Wm. White C. (2017) “Locating Emergent Creativity with Similarity Metrics”, Journal of Creative Music Systems. 2(1).

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Authors
Christopher Wm. White (The University of Massachusetts)
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Creative Commons Attribution 4.0

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This article has been peer reviewed.

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