code: def display_segment(i):
      ratio = waveform.size(1) / trellis.size(0)
      word = word_segments[i]
      x0 = int(ratio * word.start)
      x1 = int(ratio * word.end)
      print(
          f"{word.label} ({word.score:.2f}): {x0 / bundle.sample_rate:.3f} - {x1 / bundle.sample_rate:.3f} sec"
      )
      segment = waveform[:, x0:x1]
      return IPython.display.Audio(
          segment.numpy(), rate=bundle.sample_rate
      )
  
file_path: audio/examples/tutorials/forced_alignment_tutorial.py
imports: import torch
  import torchaudio
  from dataclasses import dataclass
  import IPython
  import matplotlib.pyplot
label_desc: Use image node_id 10 for calling a global function with example usage: display_segment(i) and returns: IPython