Music and symbolic dynamics: the science behind an art
Data(s) |
2013
|
---|---|
Resumo |
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. |
Formato |
application/pdf |
Identificador |
http://eprints.iisc.ernet.in/47006/1/Info_The_Appl_Work_1_2013.pdf 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. |
Publicador |
IEEE |
Relação |
http://dx.doi.org/10.1109/ITA.2013.6502948 http://eprints.iisc.ernet.in/47006/ |
Palavras-Chave | #Electronic Systems Engineering (Formerly, (CEDT) Centre for Electronic Design & Technology) |
Tipo |
Conference Paper PeerReviewed |