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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.

Hindustani music --- Raga --- Analysis, appreciation --- Data processing. --- Mathematical models. --- Ragini --- Carnatic music --- Musical intervals and scales --- Classical music, North Indian --- Hindustani classical music --- Music, Hindustani --- North Indian classical music --- Music --- Theory --- Information systems. --- Music. --- Computer science. --- Mathematical statistics. --- Computer Appl. in Arts and Humanities. --- Mathematics in Music. --- Mathematics of Computing. --- Statistics and Computing/Statistics Programs. --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Informatics --- Science --- Art music --- Art music, Western --- Classical music --- Musical compositions --- Musical works --- Serious music --- Western art music --- Western music (Western countries) --- Statistical methods --- Application software. --- Mathematics. --- Computer science—Mathematics. --- Statistics . --- Statistical analysis --- Statistical data --- Statistical science --- Econometrics --- Math --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software