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.