Low-dimensional learned feature spaces quantify individual and group differences in vocal repertoires
J. Goffinet, S. Brudner, R. Mooney, J. Pearson
The paper uses a variational autoencoder to analyze vocal behavior in mice and zebra finches, showing it outperforms handpicked features in capturing variability and relationships.
bioRxiv · Feb 24, 2021Animal Behavior & Cognition