code: def main():
      parser = argparse.ArgumentParser()
      parser.add_argument(
          "--audio-manifest",
          "-i",
          required=True,
          type=str,
          help="path to the input manifest.",
      )
      parser.add_argument(
          "--output-dir",
          "-o",
          required=True,
          type=str,
          help="path to the output dir. it will contain files after denoising and"
          " vad",
      )
      parser.add_argument(
          "--vad-agg-level",
          "-a",
          type=int,
          default=2,
          help="the aggresive level of the vad [0-3].",
      )
      parser.add_argument(
          "--dry-wet",
          "-dw",
          type=float,
          default=0.01,
          help="the level of linear interpolation between noisy and enhanced "
          "files.",
      )
      parser.add_argument(
          "--device",
          "-d",
          type=str,
          default="cpu",
          help="the device to be used for the speech enhancement model: "
          "cpu | cuda.",
      )
      parser.add_argument(
          "--denoise", action="store_true", help="apply a denoising"
      )
      parser.add_argument(
          "--vad", action="store_true", help="apply a VAD"
      )
      args = parser.parse_args()
  
      process(args)
  
file_path: fairseq/examples/speech_synthesis/preprocessing/denoise_and_vad_audio.py
imports: import argparse
  import logging
  import os
  import csv
  import tempfile
  from collections import defaultdict
  from pathlib import Path
  import torchaudio
  import pandas
  from tqdm import tqdm
  from examples.speech_synthesis.preprocessing.denoiser.pretrained import master64
  import examples.speech_synthesis.preprocessing.denoiser.utils
  from examples.speech_synthesis.preprocessing.vad import frame_generator, vad_collector, read_wave, write_wave, FS_MS, THRESHOLD, SCALE
  from examples.speech_to_text.data_utils import save_df_to_tsv
label_desc: Use image node_id 6 for calling a global function with example usage: main() without return types