code: def print_decoded(decoder, emission, param, param_value):
      start_time = time.monotonic()
      result = decoder(emission)
      decode_time = time.monotonic() - start_time
  
      transcript = " ".join(result[0][0].words).lower().strip()
      score = result[0][0].score
      print(
          f"{param} {param_value:<3}: {transcript} (score: {score:.2f}; {decode_time:.4f} secs)"
      )
  
imports: import torch
  import torchaudio
  import time
  from typing import List
  import IPython
  import matplotlib.pyplot
  from torchaudio.models.decoder import ctc_decoder
  from torchaudio.utils import download_asset
  from torchaudio.models.decoder import CTCDecoderLM, CTCDecoderLMState
  from torchaudio.models.decoder import download_pretrained_files
label_desc: Use image node_id 2 for calling a global function with example usage: print_decoded(decoder, emission, param, param_value) without return types