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Irodori-TTS
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Irodori-TTS

A Flow Matching-based Text-to-Speech Model with Emoji-driven Style Control

by Aratako · GitHub
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diffusion-modelsflow-matchingpythonMITPython
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Generate speech from text using a model that can also adjust its style with emojis.

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1 0271 026
2026-07-202026-08-31
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📄 About

A Flow Matching-based Text-to-Speech Model with Emoji-driven Style Control

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.

Frequently asked questions

What is Irodori-TTS?

A Flow Matching-based Text-to-Speech Model with Emoji-driven Style Control

Is Irodori-TTS open source?

Irodori-TTS is an open-source project. It is released under the MIT license.

Is Irodori-TTS free?

Yes. Irodori-TTS is free and open source — you can use, modify and self-host it.

What license does Irodori-TTS use?

Irodori-TTS is available under the MIT license.

What language is Irodori-TTS written in?

Irodori-TTS is written mainly in Python.

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