code: def norm_scale(Wavelet_lf0):
      Wavelet_lf0_norm = np.zeros(
          (Wavelet_lf0.shape[0], Wavelet_lf0.shape[1])
      )
      mean = Wavelet_lf0.mean(0)[None, :]
      std = Wavelet_lf0.std(0)[None, :]
      Wavelet_lf0_norm = (Wavelet_lf0 - mean) / std
      return Wavelet_lf0_norm, mean, std
  
file_path: PaddleHub/modules/audio/svs/diffsinger/utils/cwt.py
imports: import librosa
  import numpy
  from pycwt import wavelet
  from scipy.interpolate import interp1d
label_desc: Use image node_id 5 for calling a global function with example usage: norm_scale(Wavelet_lf0) and returns: Wavelet_lf0_norm,  mean,  std