FastDiff Model Card
Model Details
Model type: Diffusion-based text-to-speech generation model
Language(s): English
Model Description: A conditional diffusion probabilistic model capable of generating high fidelity speech efficiently.
Resources for more information: FastDiff GitHub Repository, FastDiff Paper.
Cite as:
@inproceedings{huang2022fastdiff, title={FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis}, author={Huang, Rongjie and Lam, Max WY and Wang, Jun and Su, Dan and Yu, Dong and Ren, Yi and Zhao, Zhou}, booktitle = {Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, {IJCAI-22}}, year={2022}
This model card was written based on the DALL-E Mini model card.