Improving the workflow to crack Small, Unbalanced, Noisy, but Genuine (SUNG) datasets in bioacoustics: the case of bonobo calls
V. Arnaud, F. Pellegrino, S. Keenan, X. St-Gelais, N. Mathevon, F. Levrero, C. Coupe
The paper improves workflow for analyzing SUNG datasets in bioacoustics by applying machine learning to bonobo calls, identifying effective feature sets and classification methods.
PLOS Computational Biology · Apr 13, 2023Peer-reviewedAnimal Behavior & Cognition