Semiautomated generation of species-specific training data from large, unlabeled acoustic datasets for deep supervised birdsong isolation
Background Bioacoustic monitoring is an effective and minimally invasive method to study wildlife ecology. However, even the state-of-the-art techniques for analyzing birdsongs decrease in accuracy in the presence of extraneous signals such as anthropogenic noise and vocalizations of non-target spec...
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| Autori principali: | , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
PeerJ Inc.
2024-09-01
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| Serie: | PeerJ |
| Soggetti: | |
| Accesso online: | https://peerj.com/articles/17854.pdf |
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