Quantitative analysis of timing in animal vocal sequences

TL;DR

This paper introduces a new quantitative method using kernel density estimates and divergence measures to compare timing in animal vocalizations, revealing evolutionary and biological insights across species.

Contribution

The paper presents a novel approach for analyzing animal vocal timing using KDE and sKL-divergence, which is more robust and interpretable than traditional Fourier methods.

Findings

Closely related species have more similar timing distributions.

The method outperforms Fourier analysis in robustness and flexibility.

Timing analysis can aid in taxonomy and conservation efforts.

Abstract

Timing features such as the silence gaps between vocal units -- inter-call intervals (ICIs) -- often correlate with biological information such as context or genetic information. Such correlates between the ICIs and biological information have been reported for a diversity of animals. Yet, few quantitative approaches for investigating timing exist to date. Here, we propose a novel approach for quantitatively comparing timing in animal vocalisations in terms of the typical ICIs. As features, we use the distribution of silence gaps parametrised with a kernel density estimate (KDE) and compare the distributions with the symmetric Kullback-Leibler divergence (sKL-divergence). We use this technique to compare timing in vocalisations of two frog species, a group of zebra finches and calls from parrots of the same species. As a main finding, we demonstrate that in our dataset, closely related species have more similar distributions than species genetically more distant, with sKL-divergences across-species larger than within-species distances. Compared with more standard methods such as Fourier analysis, the proposed method is more robust to different durations present in the data samples, flexibly applicable to different species and easy to interpret. Investigating timing in animal vocalisations may thus contribute to taxonomy, support conservation efforts by helping monitoring animals in the wild and may shed light onto the origins of timing structures in animal vocal communication.