ProDiff
Published in Proceedings of the 30th ACM International Conference on Multimedia • Oct 10, 2022
NobleIDNI1P59W30R82S42
Authors:,,
Rongjie Huang
Zhou Zhao
Huadai Liu
Abstract
Denoising diffusion probabilistic models (DDPMs) have recently achieved leading performances in many generative tasks. However, the inherited iterative sampling process costs hinder their applications to text-to-speech deployment. Through the preliminary study on diffusion model parameterization, we...
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