TTS
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Coqui TTS is a battle-tested deep-learning toolkit for text-to-speech with many models and voice cloning, including the multilingual XTTS model.
From the README
git clone https://github.com/coqui-ai/TTS pip install -e .[all,dev,notebooks] # Select the relevant extras
- 📣 ⓍTTSv2 is here with 16 languages and better performance across the board.
- 📣 ⓍTTS fine-tuning code is out. Check the example recipes.
- 📣 ⓍTTS can now stream with
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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Free · no card · unsubscribe anytime🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
TTS has 45.8k stars on GitHub. It has been forked 6.2k times. TTS is written mainly in Python. It has been in active development since 2020. TTS is available under the MPL-2.0 license. Its main topics are deep-learning, glow-tts, hifigan, melgan.
Read the full guideWhat is TTS?
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Is TTS open source?
TTS is an open-source project. It is released under the MPL-2.0 license.
Is TTS free?
Yes. TTS is free and open source — you can use, modify and self-host it. Its MPL-2.0 license is copyleft: if you distribute a modified version, it must remain under the same license.
What license does TTS use?
TTS is available under the MPL-2.0 license.
What language is TTS written in?
TTS is written mainly in Python.
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