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