Hindustani Classical Music: A Historical and Computational Study

Name: Hindustani Classical Music: A Historical and Computational Study
Rating: 5 (1 reviews)

Soubhik Chakraborty · Swarima Tewari · Arshi Rahman · Maria Jamal · Apra Lipi · Apoorva Chakraborty · Apoorva Nanda · Pranjala Shukla

Dec 2021 · Sanctum Books

5.0

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Ebook

171

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About this ebook

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.

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5.0

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About the author

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.

Swarima Tewari, a B.E. in Electrical Engineering and an M. Tech. in Scientific Computing, has completed her PhD in the area of Computational Musicology, under the guidance of Prof. Soubhik Chakraborty.

Arshi Rahman, Maria Jamal and Apra Lipi have all completed their Integrated M.Sc. in Mathematics and Computing from Department of Mathematics, BIT Mesra, Ranchi. Arshi Rahman is employed in Price Waterhouse Coopers (PwC).

Maria Jamal is employed in Byju's Think and Learn Pvt. Ltd.

Apra Lipi is a guest faculty in Mathematics at Dr. Shyama Prasad Mukherjee University in Ranchi.

Apoorva Chakraborty, an amateur Hindustani classical vocalist and a Sangeet Bhushan from Pracheen Kala Kendra, Chandigarh, is doing Psychology (Hons) at Nalanda Open University and a Certificate Course on Music Therapy from Nada centre of Music Therapy, New Delhi.

Apoorva Nanda and Pranjala Shukla have both completed their MTech in Computer Science from Department of Computer Science & Engineering, BIT Mesra, Ranchi. Apoorva Nanda is presently employed in Qualcomm India Pvt. Ltd.

Pranjala Shukla is presently employed in HCL Technologies Ltd.

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