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The book opens with a short introduction to Indian music, in particular classical Hindustani music, followed by a chapter on the role of statistics in computational musicology. The authors then show how to analyze musical structure using Rubato, the music software package for statistical analysis, in particular addressing modeling, melodic similarity and lengths, and entropy analysis; they then show how to analyze musical performance. Finally, they explain how the concept of seminatural composition can help a music composer to obtain the opening line of a raga-based song using Monte Carlo simulation. The book will be of interest to musicians and musicologists, particularly those engaged with Indian music.
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Subjects
Hindustani music, Musical analysis, Analysis, appreciation, Data processing, Raga, Mathematical models, Statistical methods, Music, Computer science, Information systems, Mathematical statistics, Computer Appl. in Arts and Humanities, Mathematics in Music, Mathematics of Computing, Statistics and Computing/Statistics ProgramsShowing 3 featured editions. View all 3 editions?
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1
Computational Musicology in Hindustani Music
Oct 07, 2016, Springer
paperback
3319365533 9783319365534
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3
Computational Musicology in Hindustani Music
Nov 28, 2014, Springer
hardcover
3319114719 9783319114712
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