collaborators

5 papers

cs.SD2026

AVEX: What Matters for Animal Vocalization Encoding

Marius Miron, David Robinson, Milad Alizadeh +14

Bioacoustics, the study of sounds produced by living organisms, plays a vital role in conservation, biodiversity monitoring, and behavioral studies. Many tasks in this field, such…

cs.SD2026

Multi-layer attentive probing improves transfer of audio representations for bioacoustics

Marius Miron, David Robinson, Masato Hagiwara +15

Probing heads map the representations learned from audio by a machine learning model to downstream task labels and are a key component in evaluating representation learning. Most b…

cs.SD2025

Robust detection of overlapping bioacoustic sound events

Louis Mahon, Benjamin Hoffman, Logan James +7

We propose a method for accurately detecting bioacoustic sound events that is robust to overlapping events, a common issue in domains such as ethology, ecology and conservation. Wh…

cs.SD2025

Synthetic data enables context-aware bioacoustic sound event detection

Benjamin Hoffman, David Robinson, Marius Miron +8

We propose a methodology for training foundation models that enhances their in-context learning capabilities within the domain of bioacoustic signal processing. We use syntheticall…

cs.SD2025

Biodenoising: Animal Vocalization Denoising without Access to Clean Data

Marius Miron, Sara Keen, Jen-Yu Liu +5

Animal vocalization denoising is a task similar to human speech enhancement, which is relatively well-studied. In contrast to the latter, it comprises a higher diversity of sound p…