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The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.

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Note

This project is no longer actively maintained, and we have stopped hosting the online Model Zoo. We've seen focus shift towards newer STT models such as [Whisper](https://github.com/openai/whisper), and have ourselves focused on [Coqui TTS](https://github.com/coqui-ai/TTS) and [Coqui Studio](https://coqui.ai/).

The models will remain available in [the releases of the coqui-ai/STT-models repo](https://github.com/coqui-ai/STT-models/releases).

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👉 Subscribe to 🐸Coqui's Newsletter

Coqui STT (🐸STT) is a fast, open-source, multi-platform, deep-learning toolkit for training and deploying speech-to-text models. 🐸STT is battle tested in both production and research 🚀

🐸STT features

  • High-quality pre-trained STT model.
  • Efficient training pipeline with Multi-GPU support.
  • Streaming inference.
  • Multiple possible transcripts, each with an associated confidence score.
  • Real-time inference.
  • Small-footprint acoustic model.
  • Bindings for various programming languages.

Where to Ask Questions

Type Link
🚨 Bug Reports Github Issue Tracker
🎁 Feature Requests & Ideas Github Issue Tracker
Questions Github Discussions
💬 General Discussion Github Discussions or Gitter Room

Links & Resources

Type Link
📰 Documentation stt.readthedocs.io
🚀 Latest release with pre-trained models see the latest release on GitHub
🤝 Contribution Guidelines CONTRIBUTING.rst

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The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.

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  • C++ 37.2%
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  • Jupyter Notebook 19.9%
  • C 8.0%
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