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The works of Rabindranath Tagore have been sung by various artistes over generations spanning over almost 100 years. There are few songs which were popular in the early years and have been able to retain their popularity over the years while some others have faded away in the course of time. In this study we look to find cues for the singing style of these songs sung by different singers spanning over almost five generations, which have kept them alive for all these years. For this, we took 3 min clip of four (4) Tagore songs which have been sung by five generation of artistes over 100 years and analyze them with the help of latest nonlinear technique developed from chaos theory. Chaos is the science of surprises where small fluctuations in source frequency causes large fluctuations in the output. Multifractal Detrended Fluctuation Analysis (MFDFA) is one such technique which is used to measure the complexity of different acoustic waveforms and the variation in complexity is used to characterize the signals. MFDFA was applied on all the music signals (the 4 Tagore songs sung by 5 artistes of different generations) to quantify the evolutionary as well as emotional cues attributed to each clip. Next EEG data was taken for 5 persons who were made to listen to 30 sec clips of two Tagore songs sung over five generations of artistes in chronological order. The EEG response from the participants were analyzed with the help of MFDFA technique and the multifractal spectral width has been taken as the parameter which can help in the identification of cognitive evolution of the Tagore songs. The response from frontal, occipital and temporal lobes were taken into consideration while analyzing the EEG signals. The multifractal spectral width is a manifestation of the inherent complexity of the brain signal and may prove to be an important parameter to identify the cognitive appreciation of the singing style of a particular generation of singers and how this style varies over different generations. The analysis of EEG responses from the participants show distinct valence lateralization evidence in how the perception and cognition of the same Tagore songs evolve over generations. The change in the singing style of Tagore songs over a period of 100 years can be beautifully represented taking the help of complexity values corresponding to that song. Finally, sonification (or the up-sampling of EEG data to auditory frequency level) of the acquired EEG data was also done to get a direct correlation between the source audio signals and the output EEG data. The study reveals many interesting and new observations which have been discussed in detail.
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