code: def plot():
      def plot_spec(ax, spec, title):
          ax.set_title(title)
          ax.imshow(
              librosa.power_to_db(spec), origin="lower", aspect="auto"
          )
  
      fig, axes = plt.subplots(3, 1, sharex=True, sharey=True)
      plot_spec(axes[0], spec[0], title="Original")
      plot_spec(axes[1], time_masked[0], title="Masked along time axis")
      plot_spec(
          axes[2], freq_masked[0], title="Masked along frequency axis"
      )
      fig.tight_layout()
  
file_path: audio/examples/tutorials/audio_feature_augmentation_tutorial.py
imports: import torch
  import torchaudio
  import torchaudio.transforms
  import librosa
  import matplotlib.pyplot
  from IPython.display import Audio
  from torchaudio.utils import download_asset
label_desc: Use image node_id 6 for calling a global function with example usage: plot() without return types