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915e8e399c
- Added CHiME-4 dataset integration in asr_datamodule.py - Added Hugging Face upload script - Added RIR augmentation - Added Self-Distillation Training
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Executable File
19 lines
496 B
ReStructuredText
Executable File
FST-based forced alignment
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==========================
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This section describes how to perform **FST-based** ``forced alignment`` with models
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trained by `CTC`_ loss.
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We use `CTC FORCED ALIGNMENT API TUTORIAL <https://pytorch.org/audio/main/tutorials/ctc_forced_alignment_api_tutorial.html>`_
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from `torchaudio`_ as a reference in this section.
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Different from `torchaudio`_, we use an ``FST``-based approach.
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.. toctree::
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:maxdepth: 2
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:caption: Contents:
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diff
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kaldi-based
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k2-based
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