Computational Musicology in Hindustani Music

An Introduction to Hindustani Music.- The Role of Statistics in Computational Musicology.- Introduction to Rubato: The Music Software for Statistical Analysis.- Modeling the Structure of Raga Bhimpalashree: A Statistical Approach.- Analysis of Lengths and Similarity of Melodies in Raga Bhimpalashree.- Raga Analysis Using Entropy.- Modeling Musical Performance Data with Statistics.- A Statistical Comparison of Bhairav (A Morning Raga) and Bihag (A Night Raga).- Seminatural Composition.- Concluding Remarks.

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.