Hindustani Classical Music: A Historical and Computational Study
Authors:
Soubhik Chakraborty, Swarima Tewari, Arshi Rahman, Maria Jamal, Apra Lipi, Apoorva Chakraborty, Apoorva Nanda, and Pranjala Shukla
ISBN:
9788194783008
Binding:
Hardcover
Year:
2021
Pages:
171 with numerous colour and b/w figures, tables, and photos
Size:
15 x 23 x 1 cm
Weight:
354 grams
Price:
INR
795.00
This work aims to address the historical development of the great Indian raga tradition, enhanced by computational approaches, and to use computational strategies to analyze aspects of contemporary Hindustani classical music (HCM). It is divided into two parts with Part 1 focusing on the history and aesthetics of HCM and Part 2 covering its computational aspects. The historical development of HCM in the ancient, medieval and modern periods; its terms and genre; and its Khayal gharanas are covered in Part 1. The subtopics include essential concepts such as raga, tala, shruti, thaat, gharana, khayal, dhrupad, thumri, tappa, etc. Part 2 covers the state-of-the-art in computational musicology, raga analysis and song analysis using statistics. The subtopics include statistical modeling, inter onset interval, note duration analysis, pitch movement between the notes, rate of change of pitch (pitch velocity) and probabilistic analysis of musical notes. The author concludes the work with reflecting on the lives of a few renowned musicians and musicologists with an account of hilarious moments taken from their lives to excite the reader to know more about HCM. This book would be useful for musicians, musicologists, researchers in music history, aesthetics, computational musicology, and advanced undergraduate and postgraduate students of music and musicology.Awarded the best book on raga music by the Indian Music Therapy Association (IMTA) in the year 2022.
Aakash Mukherjee
Aakash Mukherjee has completed his Integrated M.Sc. in Mathematics & Computing from Department of Mathematics, Birla Institute of Technology, Mesra, Ranchi, Jharkhand. His research interests are machine learning, applied and computational statistics. The present work is a part of his master’s dissertation which he completed under the guidance of Prof. Soubhik Chakraborty. Aakash Mukherjee is currently working as Data Scientist at Sumeru Inc.
Soubhik Chakraborty
Primarily a statistician, Soubhik Chakraborty is currently a Professor and formerly Head in the department of Mathematics, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, India. His research interests are algorithm and music analysis involving extensive use of computational statistics. He has been guiding several research scholars leading to PhD in these areas and has published over 100 papers, 4 books and 7 research monographs. He is also an acknowledged reviewer associated with ACM, IEEE and AMS. Himself an amateur harmonium player and a former flutist, his recently published book Computational Musicology in Hindustani Music, joint with Prof. Guerino Mazzola (School of Music, University of Minnesota, USA) and Chakraborty’s own PhD scholars Dr Swarima Tewari and Dr Moujhuri Patra published by Springer in 2014 is the first book dedicated to the topic. He is also one of the authors of the book Signal Analysis of Hindustani Classical Music, Springer, 2017 jointly authored by Prof. Asoke Kumar Datta of Indian Statistical Institute, Kolkata and four other co-authors.