Computational musicology in Hindustani music /

Saved in:
Bibliographic Details
Imprint:Cham : Springer, 2014.
Description:1 online resource (xi, 107 pages) : color illustrations
Language:English
Series:Computational music science, 1868-0305
Computational music science.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/13357866
Hidden Bibliographic Details
Other authors / contributors:Chakraborty, Soubhik, author.
Mazzola, G. (Guerino), author.
Tewari, Swarima, author.
Patra, Moujhuri, author.
ISBN:9783319114729
3319114727
3319114719
9783319114712
9783319114736
3319114735
9783319365534
3319365533
9783319114712
Digital file characteristics:text file PDF
Notes:Includes bibliographical references.
English.
Online resource; title from PDF title page (SpringerLink, viewed February 18, 2015).
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.
Other form:Printed edition: 9783319114712
Standard no.:10.1007/978-3-319-11472-9