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Signal Analysis of Hindustani Classical Music

  • Book
  • © 2017

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Authors:
  1. Asoke Kumar Datta

    1. Sir C V Raman Centre for Physics and Mus, Jadavpur University Sir C V Raman Centre for Physics and Mus, Kolkata, India

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  2. Sandeep Singh Solanki

    1. Electronics and Communication Engineerin, Birla Institute of Technology, Mesra Electronics and Communication Engineerin, Ranchi, India

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  3. Ranjan Sengupta

    1. Sir C V Raman Centre for Physics and Music, Jadavpur University Sir C V Raman Centre for Physics and Music, Kolkata, India

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  4. Soubhik Chakraborty

    1. Department of Mathematics, Birla Institute of Technology, Mesra Department of Mathematics, Ranchi, India

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  5. Kartik Mahto

    1. Dept of Electronics and Communication, Birla Institute of Technology, Mesra Dept of Electronics and Communication, Ranchi, India

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  6. Anirban Patranabis

    1. CVRCPM, Jadavpur University CVRCPM, Kolkata, India

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  • 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)

  1. Front Matter

    Pages i-xiii
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  2. Introduction

    • Asoke Kumar Datta, Sandeep Singh Solanki, Ranjan Sengupta, Soubhik Chakraborty, Kartik Mahto, Anirban Patranabis
    Pages 1-16

  3. Music Information Retrieval

    • Asoke Kumar Datta, Sandeep Singh Solanki, Ranjan Sengupta, Soubhik Chakraborty, Kartik Mahto, Anirban Patranabis
    Pages 17-33

  4. Scales and Shruti Concept

    • Asoke Kumar Datta, Sandeep Singh Solanki, Ranjan Sengupta, Soubhik Chakraborty, Kartik Mahto, Anirban Patranabis
    Pages 35-58

  5. Tonic Detection and Shruti Analysis from Raga Performance

    • Asoke Kumar Datta, Sandeep Singh Solanki, Ranjan Sengupta, Soubhik Chakraborty, Kartik Mahto, Anirban Patranabis
    Pages 59-82

  6. Pitch Transition and Pitch Stability

    • Asoke Kumar Datta, Sandeep Singh Solanki, Ranjan Sengupta, Soubhik Chakraborty, Kartik Mahto, Anirban Patranabis
    Pages 83-100

  7. Raga Identification

    • Asoke Kumar Datta, Sandeep Singh Solanki, Ranjan Sengupta, Soubhik Chakraborty, Kartik Mahto, Anirban Patranabis
    Pages 101-124

  8. Gharana Identification

    • Asoke Kumar Datta, Sandeep Singh Solanki, Ranjan Sengupta, Soubhik Chakraborty, Kartik Mahto, Anirban Patranabis
    Pages 125-141

  9. Production, Perception and Cognition

    • Asoke Kumar Datta, Sandeep Singh Solanki, Ranjan Sengupta, Soubhik Chakraborty, Kartik Mahto, Anirban Patranabis
    Pages 143-165

  10. Automatic Musical Instrument Recognition

    • Asoke Kumar Datta, Sandeep Singh Solanki, Ranjan Sengupta, Soubhik Chakraborty, Kartik Mahto, Anirban Patranabis
    Pages 167-232

  11. Vadi-Samvadi Controversy and Statistics

    • Asoke Kumar Datta, Sandeep Singh Solanki, Ranjan Sengupta, Soubhik Chakraborty, Kartik Mahto, Anirban Patranabis
    Pages 233-247

  12. Back Matter

    Pages 249-250
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Keywords

About this book

This book presents a comprehensive overview of the basics of Hindustani music and the associated signal analysis and technological developments. It begins with an in-depth introduction to musical signal analysis and its current applications, and then moves on to a detailed discussion of the features involved in understanding the musical meaning of the signal in the context of Hindustani music. The components consist of tones, shruti, scales, pitch duration and stability, raga, gharana and musical instruments. The book covers the various technological developments in this field, supplemented with a number of case studies and their analysis. The book offers new music researchers essential insights into the use the automatic concept for finding and testing the musical features for their applications. Intended primarily for postgraduate and PhD students working in the area of scientific research on Hindustani music, as well as other genres where the concepts are applicable, it is also a valuable resource for professionals and researchers in musical signal processing.

Authors and Affiliations

  • Sir C V Raman Centre for Physics and Mus, Jadavpur University Sir C V Raman Centre for Physics and Mus, Kolkata, India

    Asoke Kumar Datta

  • Electronics and Communication Engineerin, Birla Institute of Technology, Mesra Electronics and Communication Engineerin, Ranchi, India

    Sandeep Singh Solanki

  • Sir C V Raman Centre for Physics and Music, Jadavpur University Sir C V Raman Centre for Physics and Music, Kolkata, India

    Ranjan Sengupta

  • Department of Mathematics, Birla Institute of Technology, Mesra Department of Mathematics, Ranchi, India

    Soubhik Chakraborty

  • Dept of Electronics and Communication, Birla Institute of Technology, Mesra Dept of Electronics and Communication, Ranchi, India

    Kartik Mahto

  • CVRCPM, Jadavpur University CVRCPM, Kolkata, India

    Anirban Patranabis

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

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