E. F. Briefer

Same data, different results? Machine learning approaches in bioacoustics

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.

Long distance calls: negligible information loss of seabird social vocalisations over propagation down to the hearing threshold

This study shows that little auk social calls retain individual information over long distances, with negligible information loss down to the hearing threshold.

Delayed benefits for fallow bucks: more fights decrease same day mating success, but may increase matings the next day

This study shows that higher-ranked male fallow deer fight more during the mating season, which decreases same-day mating success but may increase mating success the next day.

Goat kid recognition of their mothers' calls is not impacted by changes in source-filter parameters.

This study tests if goat kids use source-filter parameters (F0 and formants) to recognize their mothers' calls, finding no effect of modifying these parameters on kid reactions.