Rongjiehuang/FastDiff

PyTorch Implementation of FastDiff (IJCAI'22)

PythonJupyter Notebooktext-to-speechspeech-synthesisvocoderneural-vocoderijcai2022
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FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis Rongjie Huang, Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu, Yi Ren, Zhou Zhao PyTorch Implementation of FastDiff (IJCAI'22): a conditional diffusion probabilistic model capable of generating high fidelity speech efficiently. We provide our implementation and pretrained models as open source in this repository. Visit our demo page for audio samples. Our follow-up work might also interest you: ProDiff (ACM Multimedia'22)...
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