shivammehta25/Matcha-TTS
[ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching
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.
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Last pushed
Mar 09, 2026
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