TY  - GEN
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.
DO  - 10.1007/978-3-319-11472-9
DO  - doi
AB  - 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.
T1  - Computational musicology in Hindustani music
AU  - Chakraborty, Soubhik,
AU  - Mazzola, Guerino,
AU  - Tewari, Swarima,
AU  - Patra, Moujhuri,
CN  - ML338
ID  - 722689
KW  - Hindustani music
KW  - Raga
KW  - Raga
KW  - Musical analysis
SN  - 9783319114729
SN  - 3319114727
TI  - Computational musicology in Hindustani music
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-11472-9
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-11472-9
ER  -