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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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| Pubblicato in: | Sci Rep |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Publishing Group UK
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6715799/ https://ncbi.nlm.nih.gov/pubmed/31467331 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-48909-4 |
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