Stephan T. Leu

This study links automated detection of alpaca hums with GPS data to show that hums are associated with closer group contact and faster movement, suggesting a role in social cohesion.

The paper shows density increases network connectedness in wild animal populations, but effects saturate, with stronger spatial than social impacts.

The paper evaluates machine learning methods for caller identity classification in mammalian vocalizations, finding Mel-frequency cepstral coefficients and random forests provide consistent results across datasets.

The paper examines if alpaca hums encode individual identity through acoustic features and finds spectro-temporal features provide more accurate classification than MFCC.