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Computational musicology in Hindustani music

By: Contributor(s): Series: Computational music sciencePublication details: Springer, 2014. Cham, Switzerland:Description: xi, 107 p.; pb; 24 cmISBN:
  • 9783319365534
Subject(s): DDC classification:
  • 781.264 CHA
Summary: 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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Item type Current library Collection Call number Copy number Status Date due Barcode
Books Books IIT Gandhinagar General 781.264 CHA (Browse shelf(Opens below)) 1 Available 029131

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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