Deep Machine Learning Techniques for the Detection and Classification of Sperm Whale Bioacoustics

We implemented Machine Learning (ML) techniques to advance the study of sperm whale (Physeter macrocephalus) bioacoustics. This entailed employing Convolutional Neural Networks (CNNs) to construct an echolocation click detector designed to classify spectrograms generated from sperm whale acoustic da...

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Detalles Bibliográficos
Autores principales: Bermant, Peter C., Bronstein, Michael M., Wood, Robert J., Gero, Shane, Gruber, David F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6715799/
https://www.ncbi.nlm.nih.gov/pubmed/31467331
http://dx.doi.org/10.1038/s41598-019-48909-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6715799/
https://www.ncbi.nlm.nih.gov/pubmed/31467331
http://dx.doi.org/10.1038/s41598-019-48909-4

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