ArcticSoundsNET: BirdNET embeddings facilitate improved bioacoustic classification of Arctic species

ArcticSoundsNET: BirdNET embeddings facilitate improved bioacoustic classification of Arctic species

In recent years, deep learning has become a popular solution for processing large ecological monitoring datasets. This rise in use has resulted in global classification models for a variety of data types and taxa, such as BirdNET, which classifies vocalizations of more than 6000 avian species from a...

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Bibliographic Details
Main Authors: Morgan A. Ziegenhorn, Richard B. Lanctot, Stephen C. Brown, Miles Brengle, Shiloh Schulte, Sarah T. Saalfeld, Christopher J. Latty, Paul A. Smith, Nicolas Lecomte
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:Ecological Informatics
Subjects:
Deep learning
Transfer learning
Arctic
Birds
BirdNET
Passive acoustic monitoring
Online Access:http://www.sciencedirect.com/science/article/pii/S1574954125002791
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