shivammehta25/Matcha-TTS

[ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching

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Established

Based on the README, here's the technical summary: Implements conditional flow matching with ODE-based synthesis to achieve fast non-autoregressive TTS, supporting variable inference steps via Euler solver and controllable generation through temperature and speaking rate parameters. Built on PyTorch Lightning with Hydra configuration, it includes ONNX export/inference support and a Gradio interface for browser-based synthesis. Enables phoneme-level alignment extraction and supports multi-GPU training on custom datasets with automatic mel-spectrogram normalization.

1,259 stars.

No Package No Dependents
Maintenance 13 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 23 / 25

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1,259

Forks

189

Language

Jupyter Notebook

License

MIT

Last pushed

Mar 09, 2026

Commits (30d)

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