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Front Cover
Back Cover
Statistical Analysis of Folk Songs of Jharkhand
Authors:
Shivani Tiwari
,
Soubhik Chakraborty
ISBN:
9788195293162
Binding:
Hardcover
Year:
2023
Pages:
81 with numerous colour and b/w figures, tables, and colour photos
Size:
15 x 23 x 1 cm
Weight:
252 grams
Price:
INR
595
536.00
eBook available at:
Amazon.in:
https://tinyurl.com/2pvee7wz
Amazon.com:
https://tinyurl.com/36vsdy74
Google Books:
https://tinyurl.com/ye25yv3e
Kobo:
https://tinyurl.com/3vnwabwh
About the Book
Folk songs play a very significant role in Indian classical music as the root of Indian classical music is the Indian folk music itself. 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.
About the Authors
Shivani Tiwari
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
Prof. (Dr) Soubhik Chakraborty, primarily a statistician, is currently a professor and former Head of the Department of Mathematics, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, India. His research interests are algorithm analysis, music analysis and statistical computing. He has guided several research scholars in these areas to Ph.D. degrees and has authored many books, research monographs and papers in peer-reviewed journals. His book
Computational Musicology in Hindustani Music
, published by Springer in 2014, was described by Springer as its first book devoted to the subject.
Other books on music research that he has authored or co-authored include
Music and Medicine: Healing Brain Injury Through Rāgas
, CBH Pub, 2016 (with audio CD);
Signal Analysis of Hindustani Classical Music
, Springer, 2017;
Hindustani Classical Music: A Historical and Computational Study
, Sanctum Books, 2021 (winner of the IMTA award for the best book on
rāga
music, given by the Indian Music Therapy Association (IMTA) in 2022); and
Stress Management Through Music: A Statistical Study
, Notion Press, 2024 (winner of the IMTA-NADA award for the best book of 2024 for “outstanding contribution to music therapy”).
He has been the principal investigator of two music-research projects:
Analysing the Structure and Performance of Hindustani Classical Music Through Statistics
, sponsored by the University Grants Commission, and
Hindustani Rāga Analysis Using Statistical Musicology with Therapeutic Applications for Stress Management
, sponsored by IDEAS: Technology Innovation Hub @ Indian Statistical Institute, Kolkata. Two patents arising from the second project have recently been published. He is a life member of the Indian Statistical Institute and the Acoustical Society of India and is also an acknowledged reviewer associated with ACM, IEEE and AMS. He has received several awards in both teaching and research. He is also a former flautist.
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