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DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
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Reuben Morais 4ca0f94d78 client.cc iOS build
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README.rst 

Project DeepSpeech
==================


.. image:: https://readthedocs.org/projects/deepspeech/badge/?version=latest
   :target: http://deepspeech.readthedocs.io/?badge=latest
   :alt: Documentation


.. image:: https://community-tc.services.mozilla.com/api/github/v1/repository/mozilla/DeepSpeech/master/badge.svg
   :target: https://community-tc.services.mozilla.com/api/github/v1/repository/mozilla/DeepSpeech/master/latest
   :alt: Task Status


DeepSpeech is an open source Speech-To-Text engine, using a model trained by machine learning techniques based on `Baidu's Deep Speech research paper <https://arxiv.org/abs/1412.5567>`_. Project DeepSpeech uses Google's `TensorFlow <https://www.tensorflow.org/>`_ to make the implementation easier.

Documentation for installation, usage, and training models are available on `deepspeech.readthedocs.io <http://deepspeech.readthedocs.io/?badge=latest>`_.

For the latest release, including pre-trained models and checkpoints, `see the latest release on GitHub <https://github.com/mozilla/DeepSpeech/releases/latest>`_.

For contribution guidelines, see `CONTRIBUTING.rst <CONTRIBUTING.rst>`_.

For contact and support information, see `SUPPORT.rst <SUPPORT.rst>`_.