[ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching
Generate natural-sounding speech quickly using a text-to-speech tool on your computer.
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Free · no card · unsubscribe anytime[ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching
Matcha-TTS has 1.3k stars on GitHub. It has been forked 210 times. Matcha-TTS is written mainly in Jupyter Notebook. It has been in active development since 2023. Matcha-TTS is available under the MIT license. Its main topics are deep-learning, diffusion-model, diffusion-models, flow-matching.
[ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching
Matcha-TTS is an open-source project. It is released under the MIT license.
Yes. Matcha-TTS is free and open source — you can use, modify and self-host it.
Matcha-TTS is available under the MIT license.
Matcha-TTS is written mainly in Jupyter Notebook.
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