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David Robinson

3 accepted papers

2026

AVEX: What Matters for Animal Vocalization Encoding

ICLR 2026poster

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 as species, individual, and behavior classification and detection, are well-suited to machine learning. However, they of…

Cited by 0SourcecodeScholar
2025

NatureLM-audio: an Audio-Language Foundation Model for Bioacoustics

ICLR 2025poster

Large language models (LLMs) prompted with text and audio have achieved state-of-the-art performance across various auditory tasks, including speech, music, and general audio, showing emergent abilities on unseen tasks. However, their potential has yet to be fully demonstrated in bioacoustics tasks,…

Cited by 1SourcePDFScholar
2024

Transferable Models for Bioacoustics with Human Language Supervision

ICASSP 2024accepted

Passive acoustic monitoring offers a scalable, non-invasive method for tracking global biodiversity and anthropogenic impacts on species. Although deep learning has become a vital tool for processing this data, current models are inflexible, typically cover only a handful of species, and are limited…

Cited by 0SourceScholar