N. Phaniraj

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.

Marmosets mutually compensate for differences in rhythms when coordinating vigilance

This study shows marmosets adjust their vigilance rhythms to synchronize, demonstrating flexible and controllable coupling between pairs.

Dynamic vocal learning in adult marmoset monkeys

This study tracks vocal changes in adult marmoset monkeys during social vocal accommodation and develops a model showing dynamic vocal learning mechanisms.

Optimising source identification from marmoset vocalisations with hierarchical machine learning classifiers

The paper develops a hierarchical machine learning classifier to accurately identify marmoset vocal sources, achieving high precision across different call types.

CineFinch: An animated female zebra finch for studying courtship interactions

The paper develops an animated female zebra finch to study courtship interactions and finds that 40% of male zebra finches sing to the animation.