The MFCC feature extraction process is briefly illustrated in the following figure:
1) The time sequence signal is first split into overlapping windows, then Hamming weights are applied on each window;
2) Short Time Fourier Transforms are applied for each window to get the spectrum;
3) Mel-filters are applied to those spectrum;
4) With Cepstral Analysis, the Cepstral coefficients are computed, which is the Mel Frequency Cepstral Coefficients (MFCC).