ANIMAL-SPOT enables animal-independent signal detection and classification using deep learning

Bioacoustic research spans a wide range of biological questions and applications, relying on identification of target species or smaller acoustic units, such as distinct call types. However, manually identifying the signal of interest is time-intensive, error-prone, and becomes unfeasible with large...

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Detalles Bibliográficos
Autores principales: Bergler, Christian, Smeele, Simeon Q., Tyndel, Stephen A., Barnhill, Alexander, Ortiz, Sara T., Kalan, Ammie K., Cheng, Rachael Xi, Brinkløv, Signe, Osiecka, Anna N., Tougaard, Jakob, Jakobsen, Freja, Wahlberg, Magnus, Nöth, Elmar, Maier, Andreas, Klump, Barbara C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763499/
https://www.ncbi.nlm.nih.gov/pubmed/36535999
http://dx.doi.org/10.1038/s41598-022-26429-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763499/
https://www.ncbi.nlm.nih.gov/pubmed/36535999
http://dx.doi.org/10.1038/s41598-022-26429-y

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