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© 2014

Computational Musicology in Hindustani Music

Book

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

  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

About the authors

Dr. Soubhik Chakraborty earned his Ph.D. in statistics and he is currently an Associate Professor in the Dept. of Applied Mathematics at the Birla Institute of Technology. His research interests include algorithm analysis and music analysis. He plays the harmonium. Prof. Dr. Guerino Mazzola earned his Ph.D. in Mathematics from Zurich University. He wrote the groundbreaking book The Topos of Music in 2002 -- its formal language and models are used by leading researchers in Europe and North America and have become a foundation of music software design. Prof. Mazzola has a joint appointment as professor in the School of Music and in the Interdisciplinary Program in Collaborative Arts at the College of Liberal Arts, University of Minnesota. Swarima Tewari has a B.E. in Electrical Engineering and an M.Tech. in Scientific Computing; she is currently doing her Ph.D. in Computational Musicology in the Dept. of Applied Mathematics at the Birla Institute of Technology. Her research focus is music analysis. Moujhuri Patra has an M.Tech. in Computer Science; she is presently working as an Assistant Professor in the Dept. of Computer Applications at the Netaji Subhash Engineering College, Techno India in Garia, Kolkata, and doing her Ph.D. in the Dept. of Applied Mathematics at the Birla Institute of Technology. Her research focus is music analysis.

Bibliographic information

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)