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Music and symbolic dynamics: the science behind an art

Srinivasa, Shayan G and Seshadri, Harish (2013) Music and symbolic dynamics: the science behind an art. In: 2013 Information Theory and Applications Workshop (ITA), 10-15 Feb. 2013, San Diego, CA.

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Official URL: http://dx.doi.org/10.1109/ITA.2013.6502948


Music signals comprise of atomic notes drawn from a musical scale. The creation of musical sequences often involves splicing the notes in a constrained way resulting in aesthetically appealing patterns. We develop an approach for music signal representation based on symbolic dynamics by translating the lexicographic rules over a musical scale to constraints on a Markov chain. This source representation is useful for machine based music synthesis, in a way, similar to a musician producing original music. In order to mathematically quantify user listening experience, we study the correlation between the max-entropic rate of a musical scale and the subjective aesthetic component. We present our analysis with examples from the south Indian classical music system.

Item Type: Conference Paper
Publisher: IEEE
Additional Information: Copyright of this article belongs to IEEE.
Keywords: Music Signal Processing; Symbolic Dynamics; Markov Chains
Department/Centre: Division of Electrical Sciences > Electronic Systems Engineering (Formerly Centre for Electronic Design & Technology)
Date Deposited: 16 Aug 2013 09:49
Last Modified: 16 Aug 2013 09:49
URI: http://eprints.iisc.ac.in/id/eprint/47006

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