most citedAVEX: What Matters for Animal Vocalization Encoding

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Beyond task performance: Decoding bioacoustic embeddings with speech features

Ines Nolasco, Jules Cauzinille, Marius Miron +8

Pretrained audio embeddings are standard in bioacoustics, yet little is known about which acoustic features these models encode, nor which are useful for a given task. This hinders…

cs.SD20261 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.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.CL2026

BAGEL: Benchmarking Animal Knowledge Expertise in Language Models

Jiacheng Shen, Masato Hagiwara, Milad Alizadeh +9

Large language models have shown strong performance on broad-domain knowledge and reasoning benchmarks, but it remains unclear how well language models handle specialized animal-re…

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…