Identifying Distinguishing Acoustic Features in Felid Vocalizations Based on Call Type and Species Classification

This study attempts to develop a machine learning-based approach which can be used to identify acoustic features that distinguish felid call types and species from one another through the optimization of classification tasks on these calltypes and species.