Contrastive learning for passive acoustic monitoring: A framework for sound source discovery and cross-site comparison in marine soundscapes
Table 6
Evaluation of contrastive learning methods. External metrics (ARI, AMI, Hungarian Accuracy) assess agreement with FADAR labels. Internal metrics (Silhouette, DBI, CH) assess cohesion and separability. Higher is better except for DBI.