code: def wav_to_univnet_mel(wav, do_normalization=False, device="cuda"):
      stft = TorchSTFT(
          n_fft=1024,
          hop_length=256,
          win_length=1024,
          use_mel=True,
          n_mels=100,
          sample_rate=24000,
          mel_fmin=0,
          mel_fmax=12000,
      )
      stft = stft.to(device)
      mel = stft(wav)
      mel = dynamic_range_compression(mel)
      if do_normalization:
          mel = normalize_tacotron_mel(mel)
      return mel
  
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 13 for calling a global function with example usage: wav_to_univnet_mel(wav, do_normalization, device) and returns: mel