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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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42 lines
871 B
ReStructuredText
Executable File
Two approaches
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==============
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Two approaches for FST-based forced alignment will be described:
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- `Kaldi`_-based
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- `k2`_-based
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Note that the `Kaldi`_-based approach does not depend on `Kaldi`_ at all.
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That is, you don't need to install `Kaldi`_ in order to use it. Instead,
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we use `kaldi-decoder`_, which has ported the C++ decoding code from `Kaldi`_
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without depending on it.
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Differences between the two approaches
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--------------------------------------
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The following table compares the differences between the two approaches.
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.. list-table::
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* - Features
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- `Kaldi`_-based
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- `k2`_-based
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* - Support CUDA
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- No
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- Yes
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* - Support CPU
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- Yes
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- Yes
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* - Support batch processing
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- No
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- Yes on CUDA; No on CPU
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* - Support streaming models
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- Yes
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- No
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* - Support C++ APIs
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- Yes
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- Yes
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* - Support Python APIs
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- Yes
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- Yes
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