class_docstr: *CMU ARCTIC* :cite:`Kominek03cmuarctic` dataset.
  
  Args:
      root (str or Path): Path to the directory where the dataset is found or downloaded.
      url (str, optional):
          The URL to download the dataset from or the type of the dataset to download.
          (default: ``"aew"``)
          Allowed type values are ``"aew"``, ``"ahw"``, ``"aup"``, ``"awb"``, ``"axb"``, ``"bdl"``,
          ``"clb"``, ``"eey"``, ``"fem"``, ``"gka"``, ``"jmk"``, ``"ksp"``, ``"ljm"``, ``"lnh"``,
          ``"rms"``, ``"rxr"``, ``"slp"`` or ``"slt"``.
      folder_in_archive (str, optional):
          The top-level directory of the dataset. (default: ``"ARCTIC"``)
      download (bool, optional):
          Whether to download the dataset if it is not found at root path. (default: ``False``).
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docstr: Load the n-th sample from the dataset.
  
  Args:
      n (int): The index of the sample to be loaded
  
  Returns:
      Tuple of the following items;
  
      Tensor:
          Waveform
      int:
          Sample rate
      str:
          Transcript
      str:
          Utterance ID
docstr_tok: ["Load","the","n-th","sample","from","the","dataset",".","Args",":","n","(","int",")",":","The","index","of","the","sample","to","be","loaded","Returns",":","Tuple","of","the","following","items",";","Tensor",":","Waveform","int",":","Sample","rate","str",":","Transcript","str",":","Utterance","ID"]
code: def __getitem__(self, n: int) -> Tuple[Tensor, int, str, str]:
      """Load the n-th sample from the dataset.
  
      Args:
          n (int): The index of the sample to be loaded
  
      Returns:
          Tuple of the following items;
  
          Tensor:
              Waveform
          int:
              Sample rate
          str:
              Transcript
          str:
              Utterance ID
      """
      line = self._walker[n]
      return load_cmuarctic_item(
          line, self._path, self._folder_audio, self._ext_audio
      )
  
file_path: audio/src/torchaudio/datasets/cmuarctic.py
imports: import csv
  import os
  from pathlib import Path
  from typing import Tuple, Union
  import torchaudio
  from torch import Tensor
  from torch.utils.data import Dataset
  from torchaudio._internal import download_url_to_file
  from torchaudio.datasets.utils import _extract_tar
label_desc: Use image node_id 2 for calling the CMUARCTIC obj's underlying member method code with example usage: obj.__getitem__(n) and returns: load_cmuarctic_item