code: def denormalize_tacotron_mel(norm_mel):
      return ((norm_mel + 1) / 2) * (
          TACOTRON_MEL_MAX - TACOTRON_MEL_MIN
      ) + TACOTRON_MEL_MIN
  
imports: import os
  from glob import glob
  from typing import Dict, List
  import librosa
  import numpy
  import torch
  import torchaudio
  from scipy.io.wavfile import read
  from TTS.utils.audio.torch_transforms import TorchSTFT
label_desc: Use image node_id 6 for calling a global function with example usage: denormalize_tacotron_mel(norm_mel) and returns: unknown