coqui-ai/STT
πΈSTT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.
README
.. note:: This project is no longer actively maintained, and we have stopped hosting the online Model Zoo.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, and have ourselves focused on Coqui TTS and Coqui Studio. The models will remain available in the releases of the coqui-ai/STT-models repo.
.. image:: images/coqui-STT-logo-green.png :alt: Coqui STT logo
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.. |gitter-img| image:: https://badges.gitter.im/coqui-ai/STT.svg :target: https://gitter.im/coqui-ai/STT?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge :alt: Gitter Room
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Coqui STT (πΈSTT) is a fast, open-source, multi-platform, deep-learning toolkit for training and deploying speech-to-text models. πΈSTT is battle tested in both production and research π
πΈSTT 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.
Quickstart _
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Where to Ask Questions ----------------------
.. list-table:: :widths: 25 25 :header-rows: 1
- - Type
- Link
- - π¨ Bug Reports
Github Issue Tracker_- - π Feature Requests & Ideas
Github Issue Tracker_- - β Questions
Github Discussions_- - π¬ General Discussion
Github Discussions_ orGitter Room_
Links & Resources ----------------- .. list-table:: :widths: 25 25 :header-rows: 1
- - Type
- Link
- - π° Documentation
stt.readthedocs.io_- - π Latest release with pre-trained models
see the latest release on GitHub_- - π€ Contribution Guidelines
CONTRIBUTING.rst_