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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
35 lines
981 B
ReStructuredText
Executable File
35 lines
981 B
ReStructuredText
Executable File
Icefall for dummies tutorial
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============================
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This tutorial walks you step by step about how to create a simple
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ASR (`Automatic Speech Recognition <https://en.wikipedia.org/wiki/Speech_recognition>`_)
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system with `Next-gen Kaldi`_.
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We use the `yesno`_ dataset for demonstration. We select it out of two reasons:
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- It is quite tiny, containing only about 12 minutes of data
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- The training can be finished within 20 seconds on ``CPU``.
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That also means you don't need a ``GPU`` to run this tutorial.
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Let's get started!
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Please follow items below **sequentially**.
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.. note::
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The :ref:`dummies_tutorial_data_preparation` runs only on Linux and on macOS.
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All other parts run on Linux, macOS, and Windows.
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Help from the community is appreciated to port the :ref:`dummies_tutorial_data_preparation`
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to Windows.
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.. toctree::
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:maxdepth: 2
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./environment-setup.rst
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./data-preparation.rst
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./training.rst
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./decoding.rst
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./model-export.rst
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