Audio stream parsing experiments using Mel-Frequency Cepstral Coefficients (MFCCs) and machine learning.

See 'usage' section in TrainKerasTensorFlowForTaggedSounds.py.

Compare waveform in amplitude domain to MFCCs graphically. See 'usage' section in PlotWav.py.

Convert a wav file to a .csv file containing MFCCs using WavToMfccFeatures.py.

When you have a trained model, use AnalyzeSoundStream.py.