Computational Musicology in Hindustani Music

1. Front Matter

   Pages i-xi

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2. An Introduction to Indian Classical Music

   • Soubhik Chakraborty, Guerino Mazzola, Swarima Tewari, Moujhuri Patra

   Pages 1-14

3. The Role of Statistics in Computational Musicology

   • Soubhik Chakraborty, Guerino Mazzola, Swarima Tewari, Moujhuri Patra

   Pages 15-24

4. Introduction to RUBATO: The Music Software for Statistical Analysis

   • Soubhik Chakraborty, Guerino Mazzola, Swarima Tewari, Moujhuri Patra

   Pages 25-51

5. Modeling the Structure of Raga Bhimpalashree: A Statistical Approach

   • Soubhik Chakraborty, Guerino Mazzola, Swarima Tewari, Moujhuri Patra

   Pages 53-60

6. Analysis of Lengths and Similarity of Melodies in Raga Bhimpalashree

   • Soubhik Chakraborty, Guerino Mazzola, Swarima Tewari, Moujhuri Patra

   Pages 61-64

7. Raga Analysis Using Entropy

   • Soubhik Chakraborty, Guerino Mazzola, Swarima Tewari, Moujhuri Patra

   Pages 65-68

8. Modeling Musical Performance Data with Statistics

   • Soubhik Chakraborty, Guerino Mazzola, Swarima Tewari, Moujhuri Patra

   Pages 69-80

9. A Statistical Comparison of Bhairav (a Morning Raga) and Bihag (a Night Raga)

   • Soubhik Chakraborty, Guerino Mazzola, Swarima Tewari, Moujhuri Patra

   Pages 81-95

10. Seminatural Composition

    • Soubhik Chakraborty, Guerino Mazzola, Swarima Tewari, Moujhuri Patra

    Pages 97-101

11. Concluding Remarks

    • Soubhik Chakraborty, Guerino Mazzola, Swarima Tewari, Moujhuri Patra

    Pages 103-107

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.

• Computational Musicology
• Hindustani Music
• Ragas
• Rubato
• Seminatural Composition
• Statistical Analysis

“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)

• Department of Applied Mathematics, Birla Institute of Technology (BIT), Mesra, Ranchi, India

  Soubhik Chakraborty

• School of Music, University of Minnesota, Minneapolis, USA

  Guerino Mazzola

• Department of Applied Mathematics, Birla Institute of Technology (BIT), Mesra, Ranchi, India

  Swarima Tewari

• Dept. of Computer Applications, Netaji Subhash Engineering Coll (NSEC), Kolkata, India

  Moujhuri Patra

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.

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