QUESST14

class torchaudio.datasets.QUESST14(root: Union[str, Path], subset: str, language: Optional[str] = 'nnenglish', download: bool = False)

QUESST14 [Miro et al., 2015] dataset.

Parameters:

• root (str or Path) – Root directory where the dataset’s top level directory is found

• subset (str) – Subset of the dataset to use. Options: ["docs", "dev", "eval"].

• language (str or None, optional) – Language to get dataset for. Options: [None, albanian, basque, czech, nnenglish, romanian, slovak]. If None, dataset consists of all languages. (default: "nnenglish")

• download (bool, optional) – Whether to download the dataset if it is not found at root path. (default: False)

__getitem__

QUESST14.__getitem__(n: int) → Tuple[Tensor, int, str]

Load the n-th sample from the dataset.

Parameters:

n (int) – The index of the sample to be loaded

Returns:

Tuple of the following items;

Tensor:

Waveform

int:

Sample rate

str:

File name

get_metadata

QUESST14.get_metadata(n: int) → Tuple[str, int, str]

Get metadata for the n-th sample from the dataset. Returns filepath instead of waveform, but otherwise returns the same fields as __getitem__().

Parameters:

n (int) – The index of the sample to be loaded

Returns:

Tuple of the following items;

str:

Path to audio

int:

Sample rate

str:

File name