18 citations · 21 across the 8 of their papers we have counts for
9 papers
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…
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…
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…
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…
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…
A benchmark for computational analysis of animal behavior, using animal-borne tags
Benjamin Hoffman, Maddie Cusimano, Vittorio Baglione +15
Animal-borne sensors (`bio-loggers') can record a suite of kinematic and environmental data, which are used to elucidate animal ecophysiology and improve conservation efforts. Mach…
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…
Modeling Animal Vocalizations through Synthesizers
Masato Hagiwara, Maddie Cusimano, Jen-Yu Liu
Modeling real-world sound is a fundamental problem in the creative use of machine learning and many other fields, including human speech processing and bioacoustics. Transformer-ba…
Object-based synthesis of scraping and rolling sounds based on non-linear physical constraints
Vinayak Agarwal, Maddie Cusimano, James Traer +1
Sustained contact interactions like scraping and rolling produce a wide variety of sounds. Previous studies have explored ways to synthesize these sounds efficiently and intuitivel…