You're currently viewing an old version of this dataset. To see the current version, click here.

FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis

FastDiff is a fast conditional diffusion model for high-quality speech synthesis. It employs a stack of time-aware location-variable convolutions with diverse receptive field patterns to model long-term time dependencies with adaptive conditions.

Data and Resources

This dataset has no data

Cite this as

Rongjie Huang, Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu, Yi Ren, Zhou Zhao (2024). Dataset: FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis. https://doi.org/10.57702/btbb2gy0

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2204.09934
Author Rongjie Huang
More Authors
Max W. Y. Lam
Jun Wang
Dan Su
Dong Yu
Yi Ren
Zhou Zhao