Overview
- Broadens our understanding of the nonlinear processing of music and music-induced electroencephalograph (EEG) signals
- Offers a simplified picture of how music signals are processed in the brain
- Enriches our understanding of musicality and the brain
- 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
- Fractal dimension
- Music cognition
- Brain response to music
- Musical emotion recognition
- Response to Hindustani raga music
- Music induced EEG signal
- Detrended fluctuation analysis (DFA)
- Multifractal detrended fluctuation analysis (MFDFA)
- Multifractal cross correlation analysis (MFDXA)
- Hindustani classical music
- Wavelet transform (WT) technique
- Neural hysteresis
- Gestalt psychology
About this book
This book provides a comprehensive overview of how fractal analytics can lead to the extraction of interesting features from the complex electroencephalograph (EEG) signals generated by Hindustani classical music. It particularly focuses on how the brain responses to the emotional attributes of Hindustani classical music that have been long been a source of discussion for musicologists and psychologists. Using robust scientific techniques that are capable of looking into the most intricate dynamics of the complex EEG signals, it deciphers the human brain’s response to different ragas of Hindustani classical music, shedding new light on what happens inside the performer’s brain when they are mentally composing the imagery of a particular raga. It also explores the much- debated issue in the musical fraternity of whether there are any universal cues in music that make it identifiable for people throughout the world, and if so, what are the neural correlates associated with the universal cues? This book is of interest to researchers and scholars of music and the brain, nonlinear science, music cognition, music signal processing and music information retrieval. In addition, researchers in the field of nonlinear biomedical signal processing and music signal analysis benefit from this book.
Authors and Affiliations
About the authors
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 nearly 200 papers in the area of High Energy Physics, Music Signal Processing, Speaker Recognition, Music Information Retrieval, Music Perception and Cognition 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.
Mr. Shankha Sanyal is currently pursuing Ph.D in the field of Cognitive Neurophysics at Sir C.V. Raman Centre for Physics and Music, Jadavpur University. He completed Post Graduation in Physics from Jadavpur University, Kolkata in the year 2012. He is also a Graduate from Jadavpur University. He has been awarded the prestigious S.N. Bose Research Fellowship Award by Department of Science and Technology, Govt. of West Bengal. He is also a CSIR Senior Research Fellow Awardee, Govt. of India. He has more than 50 publications in different journals of international repute and Conference proceedings during his tenure of Ph.D. His main research interests involve emotion recognition and improvisational cues from different renditions of Hindustani Classical music as well as biomedical signal processing algorithms.
Ms. Archi Banerjee is currently pursuing Ph.D in the field of Music Cognition at Sir C.V. Raman Centre for Physics and Music, Jadavpur University. She completed her Post Graduation in Physics from Jadavpur University, Kolkata in the year 2012. She did her Graduation also from Jadavpur University. She has been awarded the prestigious Inspire Scholarship by the Depart
ment of Science and Technology, Government of India. She is a student of music for the past 15 years at Shrutinandan school of Music under the patronage of her Guru Pt. Ajoy Chakraborty. She has published more than 50 high quality papers in peer-reviewed International Journals and Conferences in the domain of music signal processing and cognitive neuroscience.
Bibliographic Information
Book Title: Musicality of Human Brain through Fractal Analytics
Authors: Dipak Ghosh, Ranjan Sengupta, Shankha Sanyal, Archi Banerjee
Series Title: Signals and Communication Technology
DOI: https://doi.org/10.1007/978-981-10-6511-8
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2018
Hardcover ISBN: 978-981-10-6510-1Published: 05 October 2017
Softcover ISBN: 978-981-13-4894-5Published: 26 January 2019
eBook ISBN: 978-981-10-6511-8Published: 26 September 2017
Series ISSN: 1860-4862
Series E-ISSN: 1860-4870
Edition Number: 1
Number of Pages: XVII, 232
Number of Illustrations: 8 b/w illustrations, 111 illustrations in colour
Topics: Signal, Image and Speech Processing, User Interfaces and Human Computer Interaction, Neurosciences, Neurobiology, Neuropsychology