TY  - BOOK
AU  - Chakraborty,Soubhik
AU  - Mazzola,Guerino
AU  - Tewari,Swarima
AU  - Patra,Moujhuri
ED  - SpringerLink (Online service)
TI  - Computational Musicology in Hindustani Music
T2  - Computational Music Science,
SN  - 9783319114729
AV  - NX260 
U1  - 004 23
PY  - 2014///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Computer science
KW  - Information systems
KW  - Mathematical statistics
KW  - Music
KW  - Computer Science
KW  - Computer Appl. in Arts and Humanities
KW  - Mathematics in Music
KW  - Mathematics of Computing
KW  - Statistics and Computing/Statistics Programs
N1  - 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
N2  - 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
UR  - http://dx.doi.org/10.1007/978-3-319-11472-9
ER  -