Felix Effenberger — accepted AI-conference papers

2026

AVEX: What Matters for Animal Vocalization Encoding

Marius Miron, David Robinson, Milad Alizadeh, Ellen Gilsenan-McMahon, Gagan Narula, Emmanuel Chemla +11

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 0 Source ↗code ↗Scholar ↗

2025

Biodenoising: Animal Vocalization Denoising without Access to Clean Data

Marius Miron, Sara Keen, Jen-Yu Liu, Benjamin Hoffman, Masato Hagiwara, Olivier Pietquin +2

ICASSP 2025accepted

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 production mechanisms and recording environments, and this higher diversity is a challenge for existing models. Adding to…

Cited by 8 Source ↗Scholar ↗

2023

BEANS: The Benchmark of Animal Sounds

Masato Hagiwara, Benjamin Hoffman, Jen-Yu Liu, Maddie Cusimano, Felix Effenberger, Katie Zacarian

ICASSP 2023accepted

The use of machine learning (ML) based techniques has become increasingly popular in the field of bioacoustics over the last years. Fundamental requirement for the successful application of ML based techniques are curated, agreed upon, high-quality datasets and benchmark tasks to be learned on a giv…

Cited by 72 Source ↗Scholar ↗