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https://github.com/mozilla/stt

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.
https://github.com/mozilla/stt

deep-learning deepspeech embedded machine-learning neural-networks offline on-device speech-recognition speech-to-text tensorflow

Last synced: 27 days ago
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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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.. image:: https://readthedocs.org/projects/deepspeech/badge/?version=latest
:target: https://deepspeech.readthedocs.io/?badge=latest
:alt: Documentation

.. image:: https://github.com/mozilla/DeepSpeech/actions/workflows/macOS-amd64.yml/badge.svg
:target: https://github.com/mozilla/DeepSpeech/actions/workflows/macOS-amd64.yml
:alt: macOS builds

.. image:: https://github.com/mozilla/DeepSpeech/actions/workflows/lint.yml/badge.svg
:target: https://github.com/mozilla/DeepSpeech/actions/workflows/lint.yml
:alt: Linters

.. image:: https://github.com/mozilla/DeepSpeech/actions/workflows/docker.yml/badge.svg
:target: https://github.com/mozilla/DeepSpeech/actions/workflows/docker.yml
:alt: Docker Images

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 `_.