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Whombat: An open‐source audio annotation tool for machine learning assisted bioacoustics

Abstract Automated analysis of bioacoustic recordings using machine learning (ML) methods has the potential to greatly scale biodiversity monitoring efforts. The use of ML for high‐stakes applications, such as conservation and scientific research, demands a data‐centric approach with a focus on sele...

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Bibliografiset tiedot
Päätekijät: Santiago Martínez Balvanera, Oisin Mac Aodha, Matthew J. Weldy, Holly Pringle, Ella Browning, Kate E. Jones
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Wiley 2025-01-01
Sarja:Methods in Ecology and Evolution
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Linkit:https://doi.org/10.1111/2041-210X.14468
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