Twitter/X

mudler_it built a pure-C inference path for Mistral's Voxtral TTS (posted…

2026-03-26 · 17:49 UTC ·@mudler_it ·0 min read

Brief

mudlerit built a pure-C inference path for Mistral's Voxtral TTS (posted 2026-03-26), implemented in ~4,400 lines of C to convert text to 24 kHz speech without PyTorch/Python dependencies and supporting 20 voices in 9 languages; the project links to github.com/mudler/voxtral-tt… and cites inspiration from @antirez and @vllmproject.

Source evidence

title: @mudlerit: so I just got pure C inference working for Mistral's Voxtral TTS model and I'm unreasonably excited ...
author: @mudlerit
contenttype: tweet
publication: Twitter/X
published: 2026-03-26T17:49:02+00:00
sourceurl: https://x.com/mudler_it/status/2037225328444400074

word_count: 91

so I just got pure C inference working for Mistral's Voxtral TTS model and I'm unreasonably excited about it (inspired by @antirez and @vllm_project )

no pytorch, no python, no dependencies.

~4400 lines of C that go from text → speech at 24kHz. 20 voices across 9 languages.

github.com/mudler/voxtral-tt…

Mistral AI (@MistralAI)

🔊Introducing Voxtral TTS: our new frontier open-weight model for natural, expressive, and ultra-fast text-to-speech

🎭Realistic, emotionally expressive speech.
🌍Supports 9 languages and accurately captures diverse dialects.
⚡Very low latency for time-to-first-audio.
🔄Easily adaptable to new voices

Video

— https://nitter.net/MistralAI/status/2037183026539483288#m