Finding, visualizing, and quantifying latent structure across diverse animal vocal repertoires
Fig 14
Comparison of Hidden Markov Model performance using different hidden states.
Projections are shown for a single example bird from the Koumura dataset [64]. UMAP projections are labeled by three labeling schemes: (A) Hand labels (B) HDBSCAN labels on UMAP, and (C) Trained Hidden Markov Model (HMM) labels. (D) Models are compared across individual birds (points) on the basis of AIC. Each line depicts the relative (centered at zero) AIC scores for each bird for each model. Lower relative AIC equates to better model fit.