Kyutai TTS voices
Voices available for Kyutai TTS models: Pocket TTS and Kyutai TTS 1.6B.
To find voices you like, go to the
"Files and versions" tab on this site or use the interactive widget on the
Kyutai site.
Do you want more voices?
Help us by
donating your voice
or open an issue in the
repo of Kyutai TTS 1.6B to suggest permissively-licensed datasets of voices we could add here.
Discussions and PRs are disabled for this repo.
For questions, please use the GitHub issues of the
Kyutai TTS 1.6B repo.
For some datasets, we also provide enhanced (cleaned) versions of the original recordings, look for
*_enhanced.wav. Created using
ai-coustics.
For TTS 1.6B, we provide embeddings for both the original and enhanced versions.
The embeddings for the original versions are also cleaned using an internal model based on
Demucs,
but the enhancement effect might not be as strong as the
_enhanced.wav version.
voice-donations/
Voices of volunteers submitted through our
Unmute Voice Donation Project, licensed as CC0.
The Voice Donation project ran from June 2025 to February 2026 and collected 228 voices that passed verification, out of a total 374 submissions.
A big thank you to all participants ❤️
If you use the voice donations in academic work, please cite:
1@misc{unmute_voice_donation,
2 title={Unmute Voice Donation Project},
3 author={Volhejn, V\'{a}clav},
4 year={2025},
5 url={https://unmute.sh/voice-donation}
6}
vctk/
From the
Voice Cloning Toolkit dataset,
licensed under the Creative Commons License: Attribution 4.0 International.
Each recording was done with two mics, here we used the mic1 recordings.
We chose sentence 23 for every speaker because it's generally the longest one to pronounce.
expresso/
From the
Expresso dataset,
licensed under the Creative Commons License: Attribution-NonCommercial 4.0 International.
Non-commercial use only.We select clips from the "conversational" files.
For each pair of "kind" and channel (ex04-ex01_laughing, channel 1),
we find one segment with at least 10 consecutive seconds of speech using VAD_segments.txt.
We don't include more segments per (kind, channel) to keep the number of voices manageable.
The name of the file indicates how it was selected.
For instance, ex03-ex02_narration_001_channel1_674s.wav
comes from the first audio channel of audio_48khz/conversational/ex03-ex02/narration/ex03-ex02_narration_001.wav,
meaning it's speaker ex03.
It's a 10-second clip starting at 674 seconds of the original file.
unmute-prod-website
Voices used at
Unmute.sh.
Licensing:
degaulle-2.wav: comes from the Appeal of 18 June, recording here. I don't understand how the license here works exactly, but I think it's safe to assume this recording is in the public domain since it's from 1940.ex04_narration_longform_00001.wav: comes from the Expresso dataset, so CC-NCp329_022.wav: comes from VCTK, so CC BY 4.0
The others are our own recordings and you may use them as CC0.
cml-tts/fr/
French voices selected from the
CML-TTS Dataset,
licensed under the Creative Commons License: Attribution 4.0 International.
We also provide enhanced (cleaned) versions of the original recordings, look for
*_enhanced.wav. Created using
ai-coustics.
ears/
From the
EARS dataset,
licensed under the Creative Commons License: Attribution-NonCommercial 4.0 International.
Non-commercial use only.For each of the 107 speakers, we use the middle 10 seconds of the freeform_speech_01.wav file.
Additionally, we select two speakers, p003 (female) and p031 (male) and provide speaker embeddings for each of their emo_*_freeform.wav files.
This is to allow users to experiment with having a voice of a single speaker with multiple emotions.
alba-mackenna/
Characters voice-acted by Alba MacKenna:
- Casual: Very casual flavour dialogue.
- Merchant: A seller you'd typically encounter in RPG's etc.
- Announcer: An announcer you'd hear typically in competitive games.
- A Moment By: Private recordings requested by Kinder World for their 'Moment' series.
Released under the CC BY 4.0 licence.
voice-zero/
A couple of voices from
Voice-Zero, a curated selection of voices from LibriVox.
We only select voices we use in the default selection of
Pocket TTS, for the other voices please refer to the
Voice-Zero repository directly.
Released under the CC0 licence.
Computing voice embeddings (for Kyutai devs)
1uv run {root of `moshi` repo}/scripts/tts_make_voice.py \
2 --model-root {path to weights dir}/moshi_1e68beda_240/ \
3 --loudness-headroom 22 \
4 {root of this repo}
