mudler

mudler / voxtral-tts.c

Public

Pure C implementation of Voxtral-4B-TTS-2603

29
3
100% credibility
Found Mar 27, 2026 at 29 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
C
AI Summary

An experimental standalone program that converts typed text into natural-sounding audio clips using preset voices in nine languages.

How It Works

1
🔍 Discover Voxtral TTS

You stumble upon this fun tool that turns any text into realistic speech in multiple languages with different voices.

2
📥 Get the files

Download the simple program files to your computer folder.

3
🛠️ Prepare it quickly

Run a single easy command to set everything up on your machine, whether for speed or your hardware.

4
💾 Grab voices and smarts

Fetch the free voice packs and brain files with another quick command.

5
🎤 Speak your words

Pick a voice like cheerful female, type your message, and hit go to create audio.

🔊 Hear it come alive

Play the generated sound file and enjoy lifelike speech from your text, ready to share.

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Star Growth

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AI-Generated Review

What is voxtral-tts.c?

Pure C implementation of Mistral's Voxtral-4B TTS model turns text into natural speech using 20 preset voices across 9 languages like English, French, and Hindi. Run `./voxtral_tts -d model_dir -v neutral_female -o output.wav "Hello world"` for 24kHz WAV output. Downloads 8GB safetensors model via script, zero deps beyond libc/math.

Why is it gaining traction?

Stands out as a github pure C project—like pure bash bible or pure python rsa implementation—with 86KB binary and mmap'd weights for instant load. Optional BLAS/CUDA acceleration hits 58x RTF on CPU, 10x on GPU; portable across Linux/macOS/ARM. Devs dig the no-Python freedom for edge TTS.

Who should use this?

Embedded C engineers deploying offline speech on IoT/robots with pure storage constraints. Low-level devs porting TTS to custom hardware, or pure storage implementation specialists testing lightweight audio pipelines without Python overhead.

Verdict

Impressive pure C TTS demo (29 stars, 1.0% credibility score) with solid benchmarks and CLI, but explicitly experimental—not production-ready. Fork and optimize if you need github pure data inference now.

(187 words)

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