code: def one_sample(sample):
      if is_audio_file(sample):
          y, sr = librosa.load(sample, sr=16000)
  
          # Trim the beginning and ending silence
          yt, index = librosa.effects.trim(
              y
          )  # pylint: disable=unused-variable
  
          duration = librosa.get_duration(yt, sr)
          if duration > MAX_SECS or duration < MIN_SECS:
              os.remove(sample)
          else:
              librosa.output.write_wav(sample, yt, sr)
  
file_path: DeepSpeech/bin/import_vctk.py
imports: import os
  import random
  import re
  from multiprocessing import Pool
  from zipfile import ZipFile
  import librosa
  import progressbar
  from deepspeech_training.util.downloader import SIMPLE_BAR, maybe_download
  from deepspeech_training.util.importers import get_counter, get_imported_samples, print_import_report
label_desc: Use image node_id 4 for calling a global function with example usage: one_sample(sample) without return types