A fully automated framework for acoustic identification and localization of terrestrial wildlife at scale
Abstract Autonomous acoustic recorders are increasingly important tools for monitoring sound-producing taxa. Coupled with advances in machine learning, they enable greater sampling effort and larger spatial and temporal scales than in-person surveys. With synchronized recorders, acoustic localizatio...
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| Principais autores: | , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Portfolio
2026-05-01
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| coleção: | Communications Biology |
| Acesso em linha: | https://doi.org/10.1038/s42003-026-09949-5 |
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