Computational Musicology in Hindustani Music
Nonfiction, Computers, Advanced Computing, Computer Science, Entertainment, Music, History
| Author: | Soubhik Chakraborty, Guerino Mazzola, Swarima Tewari, Moujhuri Patra | ISBN: | 9783319114729 |
| Publisher: | Springer International Publishing | Publication: | November 27, 2014 |
| Imprint: | Springer | Language: | English |
| Author: | Soubhik Chakraborty, Guerino Mazzola, Swarima Tewari, Moujhuri Patra |
| ISBN: | 9783319114729 |
| Publisher: | Springer International Publishing |
| Publication: | November 27, 2014 |
| Imprint: | Springer |
| Language: | English |
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.
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.
