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