Felidae call type and species identification based on acoustic features
D. Bandara, K. Exantus, C. Navarro-Martinez, M. Patterson, A. Byun
This study develops a machine learning approach to classify felid calls and identify distinguishing acoustic features, achieving 91% accuracy for call type and 86% for species classification within Pantherinae.
bioRxiv · Mar 30, 2022 · PreprintAnimal Behavior & Cognition