PNW-Cnet v4: Automated species identification for passive acoustic monitoring

PNW-Cnet v4: Automated species identification for passive acoustic monitoring

We present PNW-Cnet v4, a deep neural net with an associated Shiny-based application designed to facilitate efficient data processing to detect terrestrial wildlife species through passive acoustic monitoring. PNW-Cnet v4 is a deep convolutional neural network that detects audio signatures of 37 foc...

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Bibliographic Details
Main Authors: Zachary J. Ruff, Damon B. Lesmeister, Julianna M.A. Jenkins, Christopher M. Sullivan
Format: Article
Language:English
Published: Elsevier 2023-07-01
Series:SoftwareX
Subjects:
Bioacoustics
Machine learning
Automated detection
Wildlife monitoring
Ecology
Biodiversity
Online Access:http://www.sciencedirect.com/science/article/pii/S2352711023001693

Internet

http://www.sciencedirect.com/science/article/pii/S2352711023001693

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