code: def stMFCC(X, fbank, n_mfcc_feats):
      
  
      mspec = numpy.log10(numpy.dot(X, fbank.T)+eps)
      ceps = dct(mspec, type=2, norm='ortho', axis=-1)[:n_mfcc_feats]
      return ceps
docs: Computes the MFCCs of a frame, given the fft mag
  
      ARGUMENTS:
          X:        fft magnitude abs(FFT)
          fbank:    filter bank (see mfccInitFilterBanks)
      RETURN
          ceps:     MFCCs (13 element vector)
  
      Note:    MFCC calculation is, in general, taken from the 
               scikits.talkbox library (MIT Licence),
      #    with a small number of modifications to make it more 
           compact and suitable for the pyAudioAnalysis Lib