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Source code for torchaudio.datasets.cmuarctic

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

import torchaudio
from torch import Tensor
from torch.utils.data import Dataset
from torchaudio.datasets.utils import (
    download_url,
    extract_archive,
)

URL = "aew"
FOLDER_IN_ARCHIVE = "ARCTIC"
_CHECKSUMS = {
    "http://festvox.org/cmu_arctic/packed/cmu_us_aew_arctic.tar.bz2":
    "4382b116efcc8339c37e01253cb56295",
    "http://festvox.org/cmu_arctic/packed/cmu_us_ahw_arctic.tar.bz2":
    "b072d6e961e3f36a2473042d097d6da9",
    "http://festvox.org/cmu_arctic/packed/cmu_us_aup_arctic.tar.bz2":
    "5301c7aee8919d2abd632e2667adfa7f",
    "http://festvox.org/cmu_arctic/packed/cmu_us_awb_arctic.tar.bz2":
    "280fdff1e9857119d9a2c57b50e12db7",
    "http://festvox.org/cmu_arctic/packed/cmu_us_axb_arctic.tar.bz2":
    "5e21cb26c6529c533df1d02ccde5a186",
    "http://festvox.org/cmu_arctic/packed/cmu_us_bdl_arctic.tar.bz2":
    "b2c3e558f656af2e0a65da0ac0c3377a",
    "http://festvox.org/cmu_arctic/packed/cmu_us_clb_arctic.tar.bz2":
    "3957c503748e3ce17a3b73c1b9861fb0",
    "http://festvox.org/cmu_arctic/packed/cmu_us_eey_arctic.tar.bz2":
    "59708e932d27664f9eda3e8e6859969b",
    "http://festvox.org/cmu_arctic/packed/cmu_us_fem_arctic.tar.bz2":
    "dba4f992ff023347c07c304bf72f4c73",
    "http://festvox.org/cmu_arctic/packed/cmu_us_gka_arctic.tar.bz2":
    "24a876ea7335c1b0ff21460e1241340f",
    "http://festvox.org/cmu_arctic/packed/cmu_us_jmk_arctic.tar.bz2":
    "afb69d95f02350537e8a28df5ab6004b",
    "http://festvox.org/cmu_arctic/packed/cmu_us_ksp_arctic.tar.bz2":
    "4ce5b3b91a0a54b6b685b1b05aa0b3be",
    "http://festvox.org/cmu_arctic/packed/cmu_us_ljm_arctic.tar.bz2":
    "6f45a3b2c86a4ed0465b353be291f77d",
    "http://festvox.org/cmu_arctic/packed/cmu_us_lnh_arctic.tar.bz2":
    "c6a15abad5c14d27f4ee856502f0232f",
    "http://festvox.org/cmu_arctic/packed/cmu_us_rms_arctic.tar.bz2":
    "71072c983df1e590d9e9519e2a621f6e",
    "http://festvox.org/cmu_arctic/packed/cmu_us_rxr_arctic.tar.bz2":
    "3771ff03a2f5b5c3b53aa0a68b9ad0d5",
    "http://festvox.org/cmu_arctic/packed/cmu_us_slp_arctic.tar.bz2":
    "9cbf984a832ea01b5058ba9a96862850",
    "http://festvox.org/cmu_arctic/packed/cmu_us_slt_arctic.tar.bz2":
    "959eecb2cbbc4ac304c6b92269380c81",
}


def load_cmuarctic_item(line: str,
                        path: str,
                        folder_audio: str,
                        ext_audio: str) -> Tuple[Tensor, int, str, str]:

    utterance_id, transcript = line[0].strip().split(" ", 2)[1:]

    # Remove space, double quote, and single parenthesis from transcript
    transcript = transcript[1:-3]

    file_audio = os.path.join(path, folder_audio, utterance_id + ext_audio)

    # Load audio
    waveform, sample_rate = torchaudio.load(file_audio)

    return (
        waveform,
        sample_rate,
        transcript,
        utterance_id.split("_")[1]
    )


[docs]class CMUARCTIC(Dataset): """Create a Dataset for CMU_ARCTIC. 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 dowload. (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``). """ _file_text = "txt.done.data" _folder_text = "etc" _ext_audio = ".wav" _folder_audio = "wav" def __init__(self, root: Union[str, Path], url: str = URL, folder_in_archive: str = FOLDER_IN_ARCHIVE, download: bool = False) -> None: if url in [ "aew", "ahw", "aup", "awb", "axb", "bdl", "clb", "eey", "fem", "gka", "jmk", "ksp", "ljm", "lnh", "rms", "rxr", "slp", "slt" ]: url = "cmu_us_" + url + "_arctic" ext_archive = ".tar.bz2" base_url = "http://www.festvox.org/cmu_arctic/packed/" url = os.path.join(base_url, url + ext_archive) # Get string representation of 'root' in case Path object is passed root = os.fspath(root) basename = os.path.basename(url) root = os.path.join(root, folder_in_archive) if not os.path.isdir(root): os.mkdir(root) archive = os.path.join(root, basename) basename = basename.split(".")[0] self._path = os.path.join(root, basename) if download: if not os.path.isdir(self._path): if not os.path.isfile(archive): checksum = _CHECKSUMS.get(url, None) download_url(url, root, hash_value=checksum, hash_type="md5") extract_archive(archive) self._text = os.path.join(self._path, self._folder_text, self._file_text) with open(self._text, "r") as text: walker = csv.reader(text, delimiter="\n") self._walker = list(walker)
[docs] 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: (Tensor, int, str, str): ``(waveform, sample_rate, transcript, utterance_id)`` """ line = self._walker[n] return load_cmuarctic_item(line, self._path, self._folder_audio, self._ext_audio)
def __len__(self) -> int: return len(self._walker)

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