Studying domain shifts in bioacoustic recording style between focal and soundscape recordings with acoustic indices
A major challenge in machine learning (ML) for studying passive acoustic monitoring is the domain shift between directional, handheld, well-labeled focal audio data and omnidirectional, passively recorded, under-labeled soundscapes. ML models trained on the vastly more labeled focal recording datase...
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| Autores principales: | , , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Elsevier
2026-05-01
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| Colección: | Ecological Informatics |
| Materias: | |
| Acceso en línea: | http://www.sciencedirect.com/science/article/pii/S1574954126001457 |
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