title: Implementation of HFCC-E FB-29 in Python for MFCC feature extraction
body: <p>I was reading about different implementations of MFCC feature extraction algorithm for the audio features. I found four implementation techniques; MFCC FB-20, HTK MFCC FB-24, MFCC FB-40 &amp; HFCC-E FB-29. And a comperative study says that HTK MFCC FB-24, MFCC FB-40 &amp; HFCC-E FB-29 techniques perform better for speech recognition.<br><br>
  So I am planning to test them all for my thesis work. I have found python implementation for two of them. Well known and popular python package named <code>librosa</code> usees MFCC FB-40 &amp; HTK MFCC FB-24 implementations. And now I am searching for python implementation of HFCC-E FB-29 technique.<br><br>
  Anyone can help me with this issue?</p>
  <p>Note: I was checking another python package named <code>python_speech_features</code> but not sure about their implementation technique.</p>