Overview
- Reviews exhaustively the key recent research into musical signal processing in Hindustani music
- Treats both theoretical and practical aspects of signal processing of Hindustani music
- Includes case studies that illustrate in detail the features involved in the signal analysis of Hindustani music
- Includes supplementary material: sn.pub/extras
Part of the book series: Signals and Communication Technology (SCT)
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Table of contents (10 chapters)
Keywords
About this book
Authors and Affiliations
About the authors
Prof. Asoke Kumar Datta, an MSc. (Pure Math), worked in Indian Statistical Institute 1955-1994, retired as HOD Electronics and Communication Sciences Department, Visiting Professor of ISI till date; President, BOM-BOM, Kolkata; Senior Guest Researcher, Sir C V Raman Centre for Physics and Music, JU; Executive Member, Society for Natural Language Technology Research, Kolkata; Life Member, Acoustical Society of India; J C Bose Memorial Award, 1969, Sir C V Raman Award, 1982-83 &1998-99, S K Mitra Memorial Award, 1984, Sri C AchyutMenon Prize, 2001; Area of Academic interest- Pattern Recognition, AI, Speech, Music and Consciousness; Hobbies: Water colour, Sculpture.
Dr. Sandeep Singh Solanki, a PhD in Engineering and Master of Engineering in Instrumentation, is currently a Professor in the Department of ECE BIT Mesra, Ranchi, India. His research interest is in the field of Speech and Music Signal Processing and Automation. He has sixteen years of teaching and six years of Industrial experience. He has published several research papers in the area of Music signal processing, Sensors development in addition to one book.
Dr. Ranjan Sengupta, a PhD in High energy Physics, was the Senior Research Scientist and Head,Scientific Research Department, ITC Sangeet Research Academy, Kolkata for 27 years. From 2010 he is associated with Sir C V Raman Centre of Physics and Music, Jadavpur University, Kolkata as a Scientific Consultant. He has published more than 150 papers in the area of High Energy Physics, Music Signal Processing, Speaker Recognition, Music Information Retrieval, Music Perception andCognition and Music Acoustics. He is a recipient of Sir C V Raman Award from Acoustical Society of India. A Life Fellow of the Acoustical Society of India, he is also a life member of Indian Physical Society and Indian Association for the Cultivation of Science, Kolkata.
Dr. Soubhik Chakraborty, a PhD in Statistics, is currently a Professor in the Deptartment of Mathematics, BIT Mesra, Ranchi, India. His research interest is in the field of Algorithm Analysis and Music Analysis. He has published several research papers in this area in addition to four books. He is an acknowledged reviewer of IEEE, ACM and AMM (for the journals Transactions on Computers, Computing Reviews and Mathematical Reviews, respectively). He is a recipient of several awards in both teaching and research e.g. National Award for Teaching Excellence (Mathematics) given by Indus Foundation and Best Academic Researcher Award given by ASDF, Shiksha Rattan Puraskar, Rajiv Gandhi Excellence Award, Glory of India Award (IIFS), Glory of India Gold Medal (IISA) and Best Educationist Award (IIEM). A life member of Indian Statistical Institute, Acoustical Society of India and Association of Computer, Electronics and Electrical Engineers, he is also a Harmonium Player.
Dr. Kartik Mahto, a PhD in Engineering and Master of Engineering in Control Systems, is currently an Assistant Professor in the Dept. of ECE BIT Mesra, Ranchi, India. His research interest is in the field of Musical Signal Processing and Instrumentation. He has thirteen years of teaching and five years of research experience. He has published several research papers in the area of Music signal processing.
Anirban Patranabis, MSc, PhD (Physics) is attached to Sir C V Raman Centre for Physics and Music,Jadavpur University, Kolkata. He is an assistant Teacher in Physics at Bamanpukuria S M M HighSchool. He has many publications in the area of music signal processing in national and international journals.
Bibliographic Information
Book Title: Signal Analysis of Hindustani Classical Music
Authors: Asoke Kumar Datta, Sandeep Singh Solanki, Ranjan Sengupta, Soubhik Chakraborty, Kartik Mahto, Anirban Patranabis
Series Title: Signals and Communication Technology
DOI: https://doi.org/10.1007/978-981-10-3959-1
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Science+Business Media Singapore 2017
Hardcover ISBN: 978-981-10-3958-4Published: 20 March 2017
Softcover ISBN: 978-981-13-5010-8Published: 09 December 2018
eBook ISBN: 978-981-10-3959-1Published: 10 March 2017
Series ISSN: 1860-4862
Series E-ISSN: 1860-4870
Edition Number: 1
Number of Pages: XIII, 250
Number of Illustrations: 78 b/w illustrations, 74 illustrations in colour
Topics: Signal, Image and Speech Processing, Acoustics, Pattern Recognition, Music