A Non Linear Multifractal Study to Illustrate the Evolution of Tagore Songs Over a Century

TL;DR

This paper uses nonlinear multifractal analysis to study how the singing style of Tagore songs has evolved over a century, revealing complexity patterns linked to different generations of artistes.

Contribution

It introduces the application of Multifractal Detrended Fluctuation Analysis to analyze the evolution of singing styles across generations in Tagore songs.

Findings

Multifractal spectral width varies across generations.

Singing styles show measurable multifractal complexity differences.

Analysis can identify stylistic changes over time.

Abstract

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 this study we look to find cues for the singing style of these songs which have kept them alive for all these years. For this we took 3 min clip of four Tagore songs which have been sung by five generation of artistes over 100 years and analyze them with the help of latest nonlinear techniques Multifractal Detrended Fluctuation Analysis (MFDFA). The multifractal spectral width is a manifestation of the inherent complexity of the signal and may prove to be an important parameter to identify the singing style of particular generation of singers and how this style varies over different generations. The results are discussed in detail.