Matcha-TTS
Fast TTS with conditional flow matching for efficient speech synthesis.
Open SourceSelf HostedOffline CapableGPU Required (4GB+ VRAM)
0.0 (0)
About
Matcha-TTS is a fast text-to-speech model using optimal-transport conditional flow matching (OT-CFM) for efficient non-autoregressive speech synthesis. Achieves high quality with fewer synthesis steps than diffusion models. Developed at MIAI Grenoble Alpes. MIT license.
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Details
- Category
- Text-to-Speech (TTS)
- Price
- Free
- Platform
- Local/Desktop
- Difficulty
- Advanced (4/5)
- License
- MIT
- Minimum VRAM
- 4 GB
- Added
- Apr 3, 2026
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