code: def create_cmvn_statis(feature_size, add_delta_deltas=True):
      """init sums, squares and cout of feature statistic"""
      sums = np.zeros(
          [1, feature_size, 3 if add_delta_deltas else 1],
          dtype=np.float64,
      )
      square = np.zeros(
          [1, feature_size, 3 if add_delta_deltas else 1],
          dtype=np.float64,
      )
      count = 0.0
      return sums, square, count
  
file_path: delta/delta/utils/cmvn.py
imports: import numpy
  import delta.compat
  from tensorflow.python.keras import backend
label_desc: Use image node_id 1 for calling a global function with example usage: create_cmvn_statis(feature_size, add_delta_deltas) and returns: sums,  square,  count