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A machine learning pipeline for classification of cetacean echolocation clicks in large underwater acoustic datasets

Fig 4

Input vectors for detection-level neural network training, consisting of concatenated spectra and waveforms of 140,000 detections (20,000 per class).

Inputs are normalized as shown prior to being fed into the neural network.

doi: https://doi.org/10.1371/journal.pcbi.1009613.g004