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

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Daktilograf STT logo

Documentation Contributor Covenant

Daktilograf 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 of 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

Links & Resources

Type Link
📰 Documentation daktilograf3.readthedocs.io
🚀 Latest release with pre-trained models see the latest release on GitHub
🤝 Contribution Guidelines CONTRIBUTING.rst

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

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  • C++ 37.1%
  • Python 20.3%
  • Jupyter Notebook 19.9%
  • C 8.0%
  • Shell 7.6%
  • C# 2.1%
  • Other 5.0%