Different states have different folk songs. This work deals with the statistical analysis of the folk songs of Jharkhand. Each song's analysis concerns with verifying whether the probabilities of notes in the song are fixed throughout the song or are the note probabilities varying. This tells us whether the probability distribution followed by the notes is multinomial or quasi multinomial respectively. Statistical parameterization method is used to quantify melody and rhythm. The presence of rhythm and melody is also analyzed by the Inter Onset Interval (IOI) and note duration graphs.
The book should be found useful by music researchers and students of music and musicology, ethnomusicologists and music enthusiasts.
Shivani Tiwari has completed her Integrated M.Sc. in Mathematics & Computing from Department of Mathematics at Birla Institute of Technology, Mesra, Ranchi, Jharkhand. Her research interests are applied and computational statistics. The present work is a part of her master’s dissertation which she completed under the guidance of Prof. Soubhik Chakraborty.
Soubhik Chakraborty, a PhD in Statistics, is currently a Professor and ex-Head in the department of Mathematics, Birla Institute of Technology, Mesra, Ranchi, Jharkhand. His research interests are algorithm analysis, music analysis and statistical computing. He has been guiding several research scholars in these areas leading to PhD and has published over 100 papers, 6 books and 7 research monographs. He is also an acknowledged reviewer associated with ACM, IEEE and AMS. He has received several awards in both teaching and research.