An analysis of the persistence of Zonotrichia capensis themes using dynamical systems and machine learning tools

Roberto Bistel, Alejandro Martinez and Gabriel B. Mindlin

Chaos, Solitons & Fractals, 2022, vol. 165, issue P1

Abstract: In this work, we use tools from nonlinear dynamics to generate synthetic bird songs with frequency modulations compatible with sketches reported in a study of chingolo (Zonotrichia capensis) songs in 1966. Using machine learning tools, we conclude that some of the sketches correspond to themes that are still sang in the same region, five decades later.

Keywords: Birdsong; Neural networks; Models of phonation (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:165:y:2022:i:p1:s0960077922009821

DOI: 10.1016/j.chaos.2022.112803

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