mozilla/DeepSpeech
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.
About mozilla/DeepSpeech
mozilla/DeepSpeech is an open-source project on GitHub, mainly written in C++. 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 It currently holds 26,773 stars and 0 forks with 0 open issues, and was last pushed on an unknown date (repository created unknown).
Project Overview
AI Homed tracks it on the AI Audio Projects board and on the AI AI Audio Projects list.
GitHub Repository Details
README
Status ======
This project is now discontinued.
Project DeepSpeech ==================
.. 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 _.