Overview
- First book dedicated to this topic
- Authors are accomplished musicians and musicologists
- Offers unique insights on both structure and performance of Hindustani music
Part of the book series: Computational Music Science (CMS)
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Table of contents(10 chapters)
About this book
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.
Reviews
“This book makes a huge contribution in providing an accessible account published by a mainstream and highly reputed publisher of the complex mathematical foundation of a historical and established musical tradition that has not been considered by many Western musicologists.” (Sara Kalvala, Computing Reviews, February, 2016)
Authors and Affiliations
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Department of Applied Mathematics, Birla Institute of Technology (BIT), Mesra, Ranchi, India
Soubhik Chakraborty
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School of Music, University of Minnesota, Minneapolis, USA
Guerino Mazzola
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Department of Applied Mathematics, Birla Institute of Technology (BIT), Mesra, Ranchi, India
Swarima Tewari
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Dept. of Computer Applications, Netaji Subhash Engineering Coll (NSEC), Kolkata, India
Moujhuri Patra
About the authors
Bibliographic Information
Book Title: Computational Musicology in Hindustani Music
Authors: Soubhik Chakraborty, Guerino Mazzola, Swarima Tewari, Moujhuri Patra
Series Title: Computational Music Science
DOI: https://doi.org/10.1007/978-3-319-11472-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-11471-2Published: 11 December 2014
Softcover ISBN: 978-3-319-36553-4Published: 23 August 2016
eBook ISBN: 978-3-319-11472-9Published: 27 November 2014
Series ISSN: 1868-0305
Series E-ISSN: 1868-0313
Edition Number: 1
Number of Pages: XI, 107
Number of Illustrations: 56 illustrations in colour
Topics: Computer Appl. in Arts and Humanities, Music, Mathematics in Music, Mathematics of Computing, Statistics and Computing/Statistics Programs