Source code for torchaudio.datasets.commonvoice

import csv
import os
from pathlib import Path
from typing import List, Dict, Tuple, Union

from torch import Tensor
from import Dataset

import torchaudio

def load_commonvoice_item(line: List[str],
                          header: List[str],
                          path: str,
                          folder_audio: str,
                          ext_audio: str) -> Tuple[Tensor, int, Dict[str, str]]:
    # Each line as the following data:
    # client_id, path, sentence, up_votes, down_votes, age, gender, accent

    assert header[1] == "path"
    fileid = line[1]
    filename = os.path.join(path, folder_audio, fileid)
    if not filename.endswith(ext_audio):
        filename += ext_audio
    waveform, sample_rate = torchaudio.load(filename)

    dic = dict(zip(header, line))

    return waveform, sample_rate, dic

[docs]class COMMONVOICE(Dataset): """Create a Dataset for CommonVoice. Args: root (str or Path): Path to the directory where the dataset is located. (Where the ``tsv`` file is present.) tsv (str, optional): The name of the tsv file used to construct the metadata, such as ``"train.tsv"``, ``"test.tsv"``, ``"dev.tsv"``, ``"invalidated.tsv"``, ``"validated.tsv"`` and ``"other.tsv"``. (default: ``"train.tsv"``) """ _ext_txt = ".txt" _ext_audio = ".mp3" _folder_audio = "clips" def __init__(self, root: Union[str, Path], tsv: str = "train.tsv") -> None: # Get string representation of 'root' in case Path object is passed self._path = os.fspath(root) self._tsv = os.path.join(self._path, tsv) with open(self._tsv, "r") as tsv_: walker = csv.reader(tsv_, delimiter="\t") self._header = next(walker) self._walker = list(walker)
[docs] def __getitem__(self, n: int) -> Tuple[Tensor, int, Dict[str, str]]: """Load the n-th sample from the dataset. Args: n (int): The index of the sample to be loaded Returns: tuple: ``(waveform, sample_rate, dictionary)``, where dictionary is built from the TSV file with the following keys: ``client_id``, ``path``, ``sentence``, ``up_votes``, ``down_votes``, ``age``, ``gender`` and ``accent``. """ line = self._walker[n] return load_commonvoice_item(line, self._header, self._path, self._folder_audio, self._ext_audio)
def __len__(self) -> int: return len(self._walker)


Access comprehensive developer documentation for PyTorch

View Docs


Get in-depth tutorials for beginners and advanced developers

View Tutorials


Find development resources and get your questions answered

View Resources