torchaudio.datasets¶
All datasets are subclasses of torch.utils.data.Dataset
and have __getitem__ and __len__ methods implemented.
Hence, they can all be passed to a torch.utils.data.DataLoader
which can load multiple samples parallelly using torch.multiprocessing workers.
For example:
yesno_data = torchaudio.datasets.YESNO('.', download=True)
data_loader = torch.utils.data.DataLoader(
    yesno_data,
    batch_size=1,
    shuffle=True,
    num_workers=args.nThreads)
| CMU ARCTIC [Kominek et al., 2003] dataset. | |
| CMU Pronouncing Dictionary [Weide, 1998] (CMUDict) dataset. | |
| CommonVoice [Ardila et al., 2020] dataset. | |
| Device Recorded VCTK (Small subset version) [Sarfjoo and Yamagishi, 2018] dataset. | |
| Fluent Speech Commands [Lugosch et al., 2019] dataset | |
| GTZAN [Tzanetakis et al., 2001] dataset. | |
| IEMOCAP [Busso et al., 2008] dataset. | |
| LibriMix [Cosentino et al., 2020] dataset. | |
| LibriSpeech [Panayotov et al., 2015] dataset. | |
| Subset of Libri-light [Kahn et al., 2020] dataset, which was used in HuBERT [Hsu et al., 2021] for supervised fine-tuning. | |
| LibriTTS [Zen et al., 2019] dataset. | |
| LJSpeech-1.1 [Ito and Johnson, 2017] dataset. | |
| MUSDB_HQ [Rafii et al., 2019] dataset. | |
| QUESST14 [Miro et al., 2015] dataset. | |
| Snips [Coucke et al., 2018] dataset. | |
| Speech Commands [Warden, 2018] dataset. | |
| Tedlium [Rousseau et al., 2012] dataset (releases 1,2 and 3). | |
| VCTK 0.92 [Yamagishi et al., 2019] dataset | |
| VoxCeleb1 [Nagrani et al., 2017] dataset for speaker identification task. | |
| VoxCeleb1 [Nagrani et al., 2017] dataset for speaker verification task. | |
| YesNo [YesNo, n.d.] dataset. |