تقرير
Fractal Patterns in Music
| العنوان: | Fractal Patterns in Music |
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| المؤلفون: | McDonough, John, Herczyński, Andrzej |
| سنة النشر: | 2022 |
| المجموعة: | Computer Science Nonlinear Sciences |
| مصطلحات موضوعية: | Nonlinear Sciences - Pattern Formation and Solitons, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing |
| الوصف: | If our aesthetic preferences are affected by fractal geometry of nature, scaling regularities would be expected to appear in all art forms, including music. While a variety of statistical tools have been proposed to analyze time series in sound, no consensus has as yet emerged regarding the most meaningful measure of complexity in music, or how to discern fractal patterns in compositions in the first place. Here we offer a new approach based on self-similarity of the melodic lines recurring at various temporal scales. In contrast to the statistical analyses advanced in recent literature, the proposed method does not depend on averaging within time-windows and is distinctively local. The corresponding definition of the fractal dimension is based on the temporal scaling hierarchy and depends on the tonal contours of the musical motifs. The new concepts are tested on musical 'renditions' of the Cantor Set and Koch Curve, and then applied to a number of carefully selected masterful compositions spanning five centuries of music making. Comment: 27 pages, 12 figures |
| نوع الوثيقة: | Working Paper |
| DOI: | 10.1016/j.chaos.2023.113315 |
| URL الوصول: | http://arxiv.org/abs/2212.12497 |
| رقم الأكسشن: | edsarx.2212.12497 |
| قاعدة البيانات: | arXiv |
| DOI: | 10.1016/j.chaos.2023.113315 |
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