F5 TTS
Official code for "F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching"
Multilingual TTS with voice cloning and duration control, on T5Gemma.
T5Gemma-TTS is an open-source audio project by Aratako (Aratako/T5Gemma-TTS on GitHub). It has 312 GitHub stars and 28 forks, is released under the MIT license, and was last updated on GitHub on 3 April 2026.
Download the model from Hugging Face.
Write in any of the supported languages.
Use a sample to clone, or a built-in speaker.
Tune duration for precise delivery pacing.
Speaks across multiple languages from one model.
Clones target voices from samples.
Fine-grained control over speech timing.
Encoder-decoder LLM architecture for speech.
Standard tooling researchers already know.
Free for personal and commercial use.
Download the source and move into the project folder.
git clone https://github.com/Aratako/T5Gemma-TTS.git
cd T5Gemma-TTSEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command โ Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at Aratako/T5Gemma-TTS with 28 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed โ commercial use allowed with attribution.
Fine-grained control over how long each part of the speech takes โ useful for dubbing and pacing.
It is described as multilingual โ check the model card for the list.
Published on Hugging Face under the project's model page.
Official code for "F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching"
A TTS model capable of generating ultra-realistic dialogue in one pass.
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The most-starred other Audio projects in the LibreAI catalogue โ the realistic shortlist if T5Gemma-TTS is not the right fit.
ๅฉ็จ AI ๅคงๆจกๅๅ่ชๅจๅๅทฅไฝๆต๏ผๆ นๆฎไธป้ขๆๅ ณ้ฎ่ฏไธ้ฎ็ๆ้ซๆธ ็ญ่ง้ขใGenerate HD short videos from a topic or keyword with an automated AI workflow.
Robust Speech Recognition via Large-Scale Weak Supervision
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Clone a voice from 5 seconds of audio and generate arbitrary speech in real time
Port of OpenAI's Whisper model in C/C++
Free and open โ grab the source, star the repo, and start creating.