SPEECHCOMMANDS¶
- class torchaudio.datasets.SPEECHCOMMANDS(root: Union[str, Path], url: str = 'speech_commands_v0.02', folder_in_archive: str = 'SpeechCommands', download: bool = False, subset: Optional[str] = None)[source]¶
Speech Commands [Warden, 2018] dataset.
- Parameters:
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. Allowed type values are
"speech_commands_v0.01"and"speech_commands_v0.02"(default:"speech_commands_v0.02")folder_in_archive (str, optional) – The top-level directory of the dataset. (default:
"SpeechCommands")download (bool, optional) – Whether to download the dataset if it is not found at root path. (default:
False).subset (str or None, optional) – Select a subset of the dataset [None, “training”, “validation”, “testing”]. None means the whole dataset. “validation” and “testing” are defined in “validation_list.txt” and “testing_list.txt”, respectively, and “training” is the rest. Details for the files “validation_list.txt” and “testing_list.txt” are explained in the README of the dataset and in the introduction of Section 7 of the original paper and its reference 12. The original paper can be found here. (Default:
None)
__getitem__¶
get_metadata¶
- SPEECHCOMMANDS.get_metadata(n: int) Tuple[str, int, str, str, int][source]¶
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 the audio
- int:
Sample rate
- str:
Label
- str:
Speaker ID
- int:
Utterance number
