Springer Signal Analysis of Hindustani Classical Music (Signals and Communication Technology)

Product Description 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. From the Back Cover 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 of 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. About the Author 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 Acoust