Computational Musicology in Hindustani Music

  • Soubhik Chakraborty
  • Guerino Mazzola
  • Swarima Tewari
  • Moujhuri Patra
Part of the Computational Music Science book series (CMS)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Soubhik Chakraborty, Guerino Mazzola, Swarima Tewari, Moujhuri Patra
    Pages 1-14
  3. Soubhik Chakraborty, Guerino Mazzola, Swarima Tewari, Moujhuri Patra
    Pages 15-24
  4. Soubhik Chakraborty, Guerino Mazzola, Swarima Tewari, Moujhuri Patra
    Pages 25-51
  5. Soubhik Chakraborty, Guerino Mazzola, Swarima Tewari, Moujhuri Patra
    Pages 53-60
  6. Soubhik Chakraborty, Guerino Mazzola, Swarima Tewari, Moujhuri Patra
    Pages 61-64
  7. Soubhik Chakraborty, Guerino Mazzola, Swarima Tewari, Moujhuri Patra
    Pages 65-68
  8. Soubhik Chakraborty, Guerino Mazzola, Swarima Tewari, Moujhuri Patra
    Pages 69-80
  9. Soubhik Chakraborty, Guerino Mazzola, Swarima Tewari, Moujhuri Patra
    Pages 81-95
  10. Soubhik Chakraborty, Guerino Mazzola, Swarima Tewari, Moujhuri Patra
    Pages 97-101
  11. Soubhik Chakraborty, Guerino Mazzola, Swarima Tewari, Moujhuri Patra
    Pages 103-107

About this book

Introduction

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.

Keywords

Computational Musicology Hindustani Music Ragas Rubato Seminatural Composition Statistical Analysis

Authors and affiliations

  • Soubhik Chakraborty
    • 1
  • Guerino Mazzola
    • 2
  • Swarima Tewari
    • 3
  • Moujhuri Patra
    • 4
  1. 1.Department of Applied MathematicsBirla Institute of Technology (BIT), MesraRanchiIndia
  2. 2.School of MusicUniversity of MinnesotaMinneapolisUSA
  3. 3.Department of Applied MathematicsBirla Institute of Technology (BIT), MesraRanchiIndia
  4. 4.Dept. of Computer ApplicationsNetaji Subhash Engineering Coll (NSEC)KolkataIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-11472-9
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-11471-2
  • Online ISBN 978-3-319-11472-9
  • Series Print ISSN 1868-0305
  • Series Online ISSN 1868-0313
  • About this book