A5030438756- Complex Systems and Time Series Analysis
- Chaos control and synchronization
- Neuroscience and Music Perception
- Neural dynamics and brain function
- Fractal and DNA sequence analysis
- Neural Networks and Applications
- Music and Audio Processing
- EEG and Brain-Computer Interfaces
- Multisensory perception and integration
- Music Technology and Sound Studies
- Time Series Analysis and Forecasting
- Speech and Audio Processing
- Image and Signal Denoising Methods
- Color perception and design
- Advanced Text Analysis Techniques
- Creativity in Education and Neuroscience
- Emotion and Mood Recognition
- Diverse Musicological Studies
- Speech Recognition and Synthesis
- Aesthetic Perception and Analysis
- Quantum Mechanics and Applications
- Animal Vocal Communication and Behavior
- Noncommutative and Quantum Gravity Theories
- Sensory Analysis and Statistical Methods
- Blind Source Separation Techniques
Indian Institute of Technology Kharagpur
2019-2024
Jadavpur University
2015-2023
Dr. C. V. Raman University
2020-2023
Through the manipulation of color and form, visual abstract art is often used to convey feelings emotions. Here, we explored how colors lines are express basic emotions whether non-artists through in similar ways as trained artists. Both artists created drawings line depicting six (i.e., anger, disgust, fear, joy, sadness, wonder). To test people represented ways, computationally predicted emotion a given drawing by comparing it set references averaging across all other participants' within...
The study reports the effect of two different types Hindustani music which are supposed to evoke contrasting emotions on brain activity using Electroencephalography (EEG) data. Two sets raga clips emotion (romantic/sorrow) were used in study. EEG was performed five male subjects while they listened clips. linear analysis their alpha and delta spectral power showed that most cases arousal based activities enhanced both Further, we a robust nonlinear method called Detrended Fluctuation...
The most interesting feature of Indian Classical Music is the existence Raagas. Each Raaga has its own peculiar ascending and descending movement called Arohana Avarohana . Even if two (or more) Raagas are made up same notes, combinational varieties notes evoke different emotions. In this work, we envisage to study how emotion perception in listeners' changes when there an alteration merely a single note pentatonic also particular note(s) replaced by flat/sharp counterpart. Approximately 60...
The present study reports interesting findings in regard to emotional arousal based activities while listening two Hindustani classical ragas of contrast emotion. EEG data was taken on 5 naïve listeners they listened - Bahar and Mia ki Malhar which are conventionally known portray emotions. were analyzed with the help robust non-linear tools viz. Adaptive Fractal Analysis (AFA) Detrended Fluctuation (DFA). A comparative Hurst Exponents obtained from methods have been shown shows that DFA...
Music engages much of the brain, and coordinates a wide range processing mechanisms. This naturally invites consideration how music in brain might relate to other complex dynamical abilities. The tremendous ability that has affect manipulate emotions is undeniable, yet largely inexplicable. study cognition drawing an increasing amount research interest. Like language, human universal involving perceptual discrete elements organized into hierarchically structured sequences. can thus provide...
The concept of creativity and perception a raga is revisited in this work from the brain electrical response professional Hindustani musician. EEG was done to record when musician created imagery Jay Jayanti as well he listened same sung by him. We have quantified correlation values obtained different lobes during these two experimental conditions using robust non-linear technique called multifractal detrended cross-correlation analysis (MFDXA). With method, we seen that both imagination...
Music has been present in human culture since time immemorial, some say music came even before speech. The effort to understand the wide variety of emotions evoked by started not long back. With advent and rapid growth various neurological bio-sensors we can now attempt quantify dimensions emotional experience induced especially instrumental – it is free from any language barriers. In this study, took eight (8) cross cultural clips originating mainly Indian Western music. A listening test...
The term jitter and shimmer has long been used in the domain of speech acoustic signal analysis as a parameter for speaker identification other prosodic features. In this study, we look forward to use same parameters neural identify categorize emotional cues different musical clips. For this, chose two ragas Hindustani music which are conventionally known portray contrast emotions EEG study was conducted on 5 participants who were made listen 3 min clip these with sufficient resting period...
In this work we have tried to quantify and categorize the emotional appraisal of 8 cross-cultural instrumental clips with help neurocognitive physics approach. Human response data is taken for 70 respondents from which a particular musical clip standardized. EEG 5 normal patients different frequency bands (alpha, theta, gamma) spectrum analyzed using Detrended Fluctuation Analysis (DFA). The DFA scaling exponent calculated all 3 signals under effect music in frontal, temporal occipital...
Abstract Raga characterization in Indian classical music is an important aspect of learning this country. But the methods usually followed are mostly qualitative. In study, we intend to quantify such abstractness using measurable parameters. To study musical information congregation quantifiably, introduce based on well-known concepts used Statistical Physics, namely Maxwell-Boltzmann (MB) and Bose-Einstein (BE) distribution. present these distributions have been applied chosen acoustic...
The electrical activity of the human brain arising from effect listening to music has been recorded with help EEG recordings in different electrodes. non-linear signals various lobes studied a robust technique called Multifractal Detrended Fluctuation Analysis (MFDFA). presence multifractality justified by MATLAB software and multifractal spectrum drawn for signals. spectral widths Hurst exponents are compared random set data verify self-similarity results discussed detail.