.. Coqui STT documentation main file, created by sphinx-quickstart on Thu Feb 2 21:20:39 2017. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. .. image:: https://raw.githubusercontent.com/coqui-ai/STT/main/images/coqui-STT-logo-green.png :alt: Coqui STT logo and wordmark **Coqui STT** (🐸STT) is an open-source deep-learning toolkit for training and deploying speech-to-text models. 🐸STT is battle tested in both production and research 🚀 .. toctree:: :maxdepth: 1 :caption: Quick Reference DEPLOYMENT TRAINING_INTRO TRAINING_ADVANCED BUILDING Quickstart ^^^^^^^^^^ The fastest way to use a pre-trained 🐸STT model is with the 🐸STT model manager, a tool that lets you quickly test and demo models locally. You'll need Python 3.6, 3.7, 3.8 or 3.9: .. code-block:: bash # Create a virtual environment $ python3 -m venv venv-stt $ source venv-stt/bin/activate # Install 🐸STT model manager $ python -m pip install -U pip $ python -m pip install coqui-stt-model-manager # Run the model manager. A browser tab will open and you can then download and test models from the Model Zoo. $ stt-model-manager .. toctree:: :maxdepth: 1 :caption: API Reference Error-Codes C-API DotNet-API Java-API NodeJS-API Python-API .. toctree:: :maxdepth: 1 :caption: Examples Python-Examples NodeJS-Examples C-Examples DotNet-Examples Java-Examples HotWordBoosting-Examples Contributed-Examples .. toctree:: :maxdepth: 1 :caption: Language Model LANGUAGE_MODEL .. include:: SUPPORT.rst .. toctree:: :maxdepth: 1 :caption: STT Playbook playbook/README .. toctree:: :maxdepth: 1 :caption: Advanced topics DECODER Decoder-API PARALLEL_OPTIMIZATION Indices and tables ================== * :ref:`genindex` * :ref:`modindex` * :ref:`search`