GenerSpeech: Towards Style Transfer for Generalizable Out-Of-Domain Text-to-Speech

Rongjie Huang, Yi Ren 0006, Jinglin Liu, Chenye Cui, Zhou Zhao. GenerSpeech: Towards Style Transfer for Generalizable Out-Of-Domain Text-to-Speech. In Sanmi Koyejo, S. Mohamed, A. Agarwal, Danielle Belgrave, K. Cho, A. Oh, editors, Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022. 2022. [doi]

@inproceedings{Huang0LCZ22,
  title = {GenerSpeech: Towards Style Transfer for Generalizable Out-Of-Domain Text-to-Speech},
  author = {Rongjie Huang and Yi Ren 0006 and Jinglin Liu and Chenye Cui and Zhou Zhao},
  year = {2022},
  url = {http://papers.nips.cc/paper_files/paper/2022/hash/4730d10b22261faa9a95ebf7497bc556-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/Huang0LCZ22},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022},
  editor = {Sanmi Koyejo and S. Mohamed and A. Agarwal and Danielle Belgrave and K. Cho and A. Oh},
  isbn = {9781713871088},
}