Leveraging Hierarchical Contrastive Learning for Acoustic Identification of Individual Animals Across Multiple Species

Acoustic identification of individual animals can be improved by leveraging hierarchical contrastive learning to create robust representations that preserve the hierarchical relationships between species and taxa.