K. Wierucka

WhaleSonic: Recordings of cetacean vocal behaviour with hydrophone arrays in Northern Norway

WhaleSonic provides a raw acoustic dataset of cetacean vocalizations in Northern Norway, supporting multichannel algorithms for source separation and communication analysis.

Echoes of self: Understanding acoustic structure and informational content in common marmoset (Callithrix jacchus) phee sequences

The paper analyzes the acoustic structure and informational content of common marmoset phee sequences, finding that elements encode caller identity and sex with varying accuracy across positions.

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.

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.