Automated Detection of Gibbon Calls From Passive Acoustic Monitoring Data Using Convolutional Neural Networks in the “Torch for R” Ecosystem
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DOI: 10.1002/ece3.71678
Abstract: ABSTRACT Automated detection of acoustic signals is crucial for effective monitoring of sound‐producing animals and their habitats across ecologically relevant spatial and temporal scales. Recent advances in deep learning have made these approaches more accessible.… read more here.
Keywords: gibbon; torch ecosystem; monitoring; automated detection ... See more keywords