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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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Project DeepSpeech

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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. Project DeepSpeech uses Google's TensorFlow to make the implementation easier.

Documentation for installation, usage, and training models are available on deepspeech.readthedocs.io.

For the latest release, including pre-trained models and checkpoints, see the latest release on GitHub.

For contribution guidelines, see CONTRIBUTING.rst.

For contact and support information, see SUPPORT.rst.

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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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  • C++ 46.9%
  • Python 21.4%
  • C 11.2%
  • Shell 10.8%
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  • Swift 1.8%
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