code: def compute_logmel(
      audio,
      lo_hz=80.0,
      hi_hz=7600.0,
      bins=64,
      fft_size=2048,
      overlap=0.75,
      pad_end=True,
      sample_rate=16000,
  ):
      """Logarithmic amplitude of mel-scaled spectrogram."""
      mel = compute_mel(
          audio,
          lo_hz,
          hi_hz,
          bins,
          fft_size,
          overlap,
          pad_end,
          sample_rate,
      )
      return safe_log(mel)
  
imports: import crepe
  from ddsp import core
  from ddsp.core import safe_log
  from ddsp.core import tf_float32
  import gin
  import librosa
  import numpy
  import tensorflow.compat.v2
  import tensorflow_probability
label_desc: Use image node_id 6 for calling a global function with example usage: compute_logmel(audio, lo_hz, hi_hz, bins, fft_size, overlap, pad_end, sample_rate) and returns: safe_log