code: def mfcc(fft_magnitude, fbank, num_mfcc_feats):
      """
      Computes the MFCCs of a frame, given the fft mag
  
      ARGUMENTS:
          fft_magnitude:  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
      """
  
      mspec = np.log10(np.dot(fft_magnitude, fbank.T) + eps)
      ceps = dct(mspec, type=2, norm="ortho", axis=-1)[:num_mfcc_feats]
      return ceps
  
imports: from __future__ import print_function
  import math
  import numpy
  import sys
  from scipy.fftpack import fft
  import matplotlib.pyplot
  from scipy.signal import lfilter
  from scipy.fftpack.realtransforms import dct
  from tqdm import tqdm
label_desc: Use image node_id 11 for calling a global function with example usage: mfcc(fft_magnitude, fbank, num_mfcc_feats) and returns: ceps