An optimized 1D-CNN classifier is embedded on AudioMoth hardware to detect Scopoli Shearwater calls with 91% accuracy using 10kB RAM and 20ms inference time, enabling efficient on-device bioacoustic monitoring.
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Smart Passive Acoustic Monitoring: Embedding a Classifier on AudioMoth Microcontroller
An optimized 1D-CNN classifier is embedded on AudioMoth hardware to detect Scopoli Shearwater calls with 91% accuracy using 10kB RAM and 20ms inference time, enabling efficient on-device bioacoustic monitoring.