Additional EDA plots
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mwinton commented
-
Apply the resampling logic from our code to see what the audio waveforms look like after resampling. (The current value of the
SAMPLE_RATE
constant in mel_params.py is 16000.) -
Generate a mel spectrogram of the resampled audio and plot that. That way we will be able to visualize the image in the same format that the model will train on. I think that will help us pick some species to classify which show some visual distinction.