A machine learning pipeline for classification of cetacean echolocation clicks in large underwater acoustic datasets
Fig 5
Input vectors for bin-level neural network training, consisting of concatenated mean spectra, IDI distributions, and mean waveforms of 14,000 bins (2,000 per class).
Inputs are normalized as shown prior to being fed into the neural network.