Computational Musicology in Hindustani Music

AvSoubhik Chakraborty,Guerino Mazzola

Inbunden, Engelska, 2014

Del i serien Computational Music Science

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2014-12-11
Mått:155 x 235 x 13 mm
Vikt:354 g
Format:Inbunden
Språk:Engelska
Serie:Computational Music Science
Antal sidor:107
Upplaga:2014
Förlag:Springer International Publishing AG
ISBN:9783319114712

Utforska kategorier

Musikvetenskap inom Kultur
Systemvetenskap och AI inom Data och IT
Tillämpad matematik inom Naturvetenskap och teknik

Mer om författaren

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.

Recensioner i media

"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)

Innehållsförteckning

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.