Welcome to lhotse’s documentation!
- Getting started
- Representing a corpus
- Cuts
- Feature extraction
- Executing tasks in parallel
- PyTorch Datasets
- A quick re-cap of PyTorch’s data API
- About Lhotse’s Datasets and Samplers
- Restoring sampler’s state: continuing the training
- Batch I/O: pre-computed vs. on-the-fly features
- Handling random seeds
- Customizing sampling constraints
- Dataset’s list
- Sampler’s list
- Input strategies’ list
- Augmentation - transforms on cuts
- Augmentation - transforms on signals
- Collation utilities for building custom Datasets
- Dataloading seeding utilities
- Kaldi Interoperability
- Command-line interface
- API Reference