0.2 - Towards the Base Camp
New features:
K2SpeechRecognitionIterableDataset
that supports more efficient batching #116- Support for
torchaudio.sox_effects
data augmentation alongsideWavAugment
#124
Breaking changes:
- the data augmentation APIs in Lhotse expect
augment_fn
argument instead ofaugmenter
, that has a signature like:def augment_fn(samples: np.ndarray, sampling_rate: int) -> np.ndarray
#124
New corpora:
- Mobvoi Hotwords #109
Enhancements:
- progress bars for corpus downloads and feature extraction #131
- re-using cached LibriSpeech manifests for faster data preparation #133
LilcomFilesWriter
andNumpyFilesWriter
use sub-directories for storage to reduce the filesystem load #134
Several bug fixes and improved testing.