code: def mel_to_wav(
      *, mel: np.ndarray = None, power: float = 1.5, **kwargs
  ) -> np.ndarray:
      """Convert a melspectrogram to a waveform using Griffi-Lim vocoder."""
      S = mel.copy()
      S = mel_to_spec(
          mel=S, mel_basis=kwargs["mel_basis"]
      )  # Convert back to linear
      return griffin_lim(spec=S**power, **kwargs)
  
imports: from io import BytesIO
  from typing import Tuple
  import librosa
  import numpy
  import scipy
  import soundfile
  from librosa import magphase, pyin
label_desc: Use image node_id 14 for calling a global function with example usage: mel_to_wav() and returns: griffin_lim