Voxtral TTS
- URL: http://arxiv.org/abs/2603.25551v1
- Date: Thu, 26 Mar 2026 15:23:34 GMT
- Title: Voxtral TTS
- Abstract summary: Voxtral TTS generates natural speech from as little as 3 seconds of reference audio.<n> Voxtral TTS is preferred for multilingual voice cloning due to its naturalness and expressivity.
- Score: 165.32470621561097
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: We introduce Voxtral TTS, an expressive multilingual text-to-speech model that generates natural speech from as little as 3 seconds of reference audio. Voxtral TTS adopts a hybrid architecture that combines auto-regressive generation of semantic speech tokens with flow-matching for acoustic tokens. These tokens are encoded and decoded with Voxtral Codec, a speech tokenizer trained from scratch with a hybrid VQ-FSQ quantization scheme. In human evaluations conducted by native speakers, Voxtral TTS is preferred for multilingual voice cloning due to its naturalness and expressivity, achieving a 68.4\% win rate over ElevenLabs Flash v2.5. We release the model weights under a CC BY-NC license.
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