(path)
return mean, variance
load mean and variance from cmvn.npy,
      then convert to TF Tensor
load mean and variance from cmvn.npy,
      then convert to TF Tensor
load mean and variance from cmvn . npy then convert to TF Tensor
def load_cmvn(path):
  ''' load mean and variance from cmvn.npy,
      then convert to TF Tensor
  '''
  # [1, nbins, nchannels]
  mean, variance = np.load(path)
  # [1, 1, nbins, nchannels]
  mean = np.expand_dims(mean, axis=0)
  variance = np.expand_dims(variance, axis=0)
  mean = tf.convert_to_tensor(mean, dtype=tf.float32, name='cmvn_mean')
  variance = tf.convert_to_tensor(
      variance, dtype=tf.float32, name='cmvn_variance')
  return mean, variance
def load_cmvn ( path ) : # [1, nbins, nchannels] mean , variance = np . load ( path ) # [1, 1, nbins, nchannels] mean = np . expand_dims ( mean , axis = 0 ) variance = np . expand_dims ( variance , axis = 0 ) mean = tf . convert_to_tensor ( mean , dtype = tf . float32 , name = 'cmvn_mean' ) variance = tf . convert_to_tensor ( variance , dtype = tf . float32 , name = 'cmvn_variance' ) return mean , variance