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20222026
most citedA benchmark for computational analysis of animal behavior, using animal-borne tags

18 citations · 22 across the 7 of their papers we have counts for

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7 papers · 1 filter

cs.SD2026

BEANS-Next and ROOTS: Broadening Audio-Language Capabilities for Bioacoustics

Christos Plachouras, David Robinson, Marius Miron +17

Bioacoustics and ethology encompass a wide range of audio understanding tasks, many of which stand to benefit from recent advances in large audio-language models. However, progress…

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★ 1 cited

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.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★ 2 cited

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.SD2024

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…

cs.SD2022★ 1 cited

BEANS: The Benchmark of Animal Sounds

Masato Hagiwara, Benjamin Hoffman, Jen-Yu Liu +3

The use of machine learning (ML) based techniques has become increasingly popular in the field of bioacoustics over the last years. Fundamental requirements for the successful appl…