Rongjiehuang/ProDiff

PyTorch Implementation of ProDiff (ACM-MM'22) with a Extremely-Fast diffusion speech synthesis pipeline

Pythontext-to-speechspeech-synthesisdiffusion-models
This is stars and forks stats for /Rongjiehuang/ProDiff repository. As of 27 Apr, 2024 this repository has 403 stars and 51 forks.

ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-Speech Rongjie Huang, Zhou Zhao, Huadai Liu, Jinglin Liu, Chenye Cui, Yi Ren PyTorch Implementation of ProDiff (ACM Multimedia'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. News April, 2022: Our previous work FastDiff (IJCAI 2022) released in Github. September,...
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