A Flow Matching-based Text-to-Speech Model with Emoji-driven Style Control
Generate speech from text using a model that can also adjust its style with emojis.
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Irodori-TTS has 1k stars on GitHub. It has been forked 122 times. Irodori-TTS is written mainly in Python. It has been in active development since 2026. Irodori-TTS is available under the MIT license. Its main topics are diffusion-models, flow-matching, python, speech-synthesis.
A Flow Matching-based Text-to-Speech Model with Emoji-driven Style Control
Irodori-TTS is an open-source project. It is released under the MIT license.
Yes. Irodori-TTS is free and open source — you can use, modify and self-host it.
Irodori-TTS is available under the MIT license.
Irodori-TTS is written mainly in Python.
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