AI article
Building a Text-to-Speech Engine in Pure C
Community description: Building a minimal Text-to-Speech engine in pure C using Qwen3-TTS without ML frameworks.
Dev.to | Mar 9, 2026 | Gabriele Mastrapasqua
Automated excerpt
The model supports 9 preset voices, 10 languages, and both 0. 6B and 1. 7B model sizes (auto-detected from weights). The final validation: correlation 0. 999996 with the Python reference across the full pipeline. . /qwen_tts -d qwen3-tts-0. 6b --text "Hello, how are you? " -o hello. wav . /qwen_tts -d qwen3-tts-0. 6b --text "Hello world" --stdout | \ The project supports macOS (ARM/x86), Linux (ARM/x86), and Windows via WSL2. The 0. 6B model needs ~3 GB of memory, the 1. 7B needs ~8 GB.
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