Results 11 to 20 of about 8,674 (182)

Birds, bats and beyond: evaluating generalization in bioacoustics models

Frontiers in Bird Science
In the context of passive acoustic monitoring (PAM) better models are needed to reliably gain insights from large amounts of raw, unlabeled data. Bioacoustics foundation models, which are general-purpose, adaptable models that can be used for a wide ...
Bart van Merriënboer, Jenny Hamer, Vincent Dumoulin, Eleni Triantafillou, Tom Denton   +4 more
doaj   +2 more sources

animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacoustics

Methods in Ecology and Evolution, EarlyView.
Bioacoustic research, vital for understanding animal behavior, conservation, and ecology, faces a monumental challenge: analyzing vast datasets where animal vocalizations are rare.
Julian C. Schäfer‐Zimmermann, Vlad Demartsev, Baptiste Averly, Kiran L. Dhanjal‐Adams, Mathieu Duteil, Gabriella Gall, Marius Faiß, L. Johnson-Ulrich, Dan Stowell, Marta B. Manser, Marie A. Roch, A. Strandburg-Peshkin   +11 more
semanticscholar   +2 more sources

Multi-modal Language models in bioacoustics with zero-shot transfer: a case study. [PDF]

Sci Rep
Automatically detecting sound events with Artificial Intelligence (AI) has become increas- ingly popular in the field of bioacoustics, ecoacoustics, and soundscape ecology, particularly for wildlife monitoring and conservation.
Miao Z, Elizalde B, Deshmukh S, Kitzes J, Wang H, Dodhia R, Ferres JL.   +6 more
europepmc   +2 more sources

Transferable Models for Bioacoustics with Human Language Supervision [PDF]

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2023
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 ...
David Robinson, Adelaide Robinson, Lily Akrapongpisak   +2 more
semanticscholar   +1 more source

Dynamic spatiotemporal acoustic occurrence of North Atlantic right whales in the offshore Rhode Island and Massachusetts Wind Energy Areas

Endangered Species Research, 2022
As development of offshore wind energy areas (WEAs) progresses along the US Atlantic coast, so will the spatiotemporal overlap and potential space-use conflict with vulnerable or protected wildlife, including Critically Endangered North Atlantic right ...
BJ Estabrook, JT Tielens, A Rahaman, DW Ponirakis, CW Clark, AN Rice   +5 more
doaj   +1 more source

Robust rhythm reporting will advance ecological and evolutionary research

Methods in Ecology and Evolution, 2023
Rhythmicity in the millisecond to second range is a fundamental building block of communication and coordinated movement. But how widespread are rhythmic capacities across species, and how did they evolve under different environmental pressures ...
Taylor A. Hersh, Andrea Ravignani, Lara S. Burchardt   +2 more
doaj   +1 more source

Can harbor seals (Phoca vitulina) discriminate familiar conspecific calls after long periods of separation? [PDF]

PeerJ, 2021
The ability to discriminate between familiar and unfamiliar calls may play a key role in pinnipeds’ communication and survival, as in the case of mother-pup interactions. Vocal discrimination abilities have been suggested to be more developed in pinniped
Mila Varola, Laura Verga, Marlene Gunda Ursel Sroka, Stella Villanueva, Isabelle Charrier, Andrea Ravignani   +5 more
doaj   +2 more sources

The First Attempt of Satellite Tracking on Occurrence and Migration of Bryde’s Whale (Balaenoptera edeni) in the Beibu Gulf

Journal of Marine Science and Engineering, 2021
Satellite-tagging is increasingly becoming a powerful biotelemetry approach to obtain remote measurement through tracking free-living cetaceans, which can fill knowledge gaps on cetaceans and facilitate conservation management.
Mingming Liu, Wenzhi Lin, Mingli Lin, Binshuai Liu, Lijun Dong, Peijun Zhang, Zixin Yang, Kexiong Wang, Liang Dai, Songhai Li   +9 more
doaj   +1 more source

Parselmouth for bioacoustics: automated acoustic analysis in Python

Bioacoustics, 2023
Bioacoustics increasingly relies on large datasets and computational methods. The need to batch-process large amounts of data and the increased focus on algorithmic processing require software tools.
Yannick Jadoul, Bart de Boer, A. Ravignani   +2 more
semanticscholar   +1 more source

Whombat: An open-source annotation tool for machine learning development in bioacoustics [PDF]

arXiv.org, 2023
1. Automated analysis of bioacoustic recordings using machine learning (ML) methods has the potential to greatly scale biodiversity monitoring efforts.
Santiago Martínez Balvanera, Oisin Mac Aodha, Matthew J. Weldy, H. Pringle, Ella Browning, Kate E. Jones   +5 more
semanticscholar   +1 more source