gabriele-mastrapasqua/qwen3-tts
Pure C inference engine for Qwen3-TTS text-to-speech. No Python, no PyTorch — just C and BLAS. Supports 0.6B and 1.7B models, 9 voices, 10 languages.
This project helps you convert written text into natural-sounding speech for various applications. You provide text in one of ten languages and choose from nine preset voices, or even clone a voice from an audio clip, to generate an audio file. This tool is ideal for developers and system administrators who need to integrate high-quality text-to-speech capabilities directly into their applications or devices without complex dependencies.
Use this if you need a lightweight, high-performance text-to-speech engine that can run directly on various hardware, including embedded systems, without relying on Python or large machine learning frameworks.
Not ideal if you are looking for a user-friendly application with a graphical interface for personal content creation, or if you prefer a cloud-based text-to-speech service.
Stars
25
Forks
6
Language
C
License
MIT
Category
Last pushed
Mar 16, 2026
Commits (30d)
0
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curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/gabriele-mastrapasqua/qwen3-tts"
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