The soundscape dynamics of human agglomeration
H. V. Ribeiro, R. T. de Souza, E. K. Lenzi, R. S. Mendes, L. R., Evangelista

TL;DR
This paper analyzes the soundscape dynamics during human gatherings, revealing complex statistical properties such as heavy tails, long-range correlations, and validating a GARCH model to describe these phenomena.
Contribution
It provides a novel statistical characterization of human agglomeration soundscapes and demonstrates the applicability of a GARCH model to capture their dynamics.
Findings
Heavy tail distributions in sound amplitudes
Long-range correlations in sound intensity
GARCH model fits the observed data well
Abstract
We report a statistical analysis about people agglomeration soundscape. Specifically, we investigate the normalized sound amplitudes and intensities that emerge from people collective meetings. Our findings support the existence of nontrivial dynamics characterized by heavy tail distributions in the sound amplitudes, long-range correlations in the sound intensity and non-exponential distributions in the return interval distributions. Additionally, motivated by the time-dependent behavior present in the volatility/variance series, we compare the observational data with those obtained from a minimalist autoregressive stochastic model, a GARCH process, finding a good agreement.
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