most citedAutomated detection of gibbon calls from passive acoustic monitoring data using convolutional neural networks in the "torch for R" ecosystem

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q-bio.QM2024★ 1 cited

Automated detection of gibbon calls from passive acoustic monitoring data using convolutional neural networks in the "torch for R" ecosystem

Dena J. Clink, Jinsung Kim, Hope Cross-Jaya +9

Automated detection of acoustic signals is crucial for effective monitoring of sound-producing animals and their habitats across ecologically relevant spatial and temporal scales.…