@inproceedings{DBLP:conf/icassp/ChenSH21,

title = {Towards Low-Resource Stargan Voice Conversion Using Weight Adaptive 

 Instance Normalization},

author = {Mingjie Chen and Yanpei Shi and Thomas Hain},

url = {https://doi.org/10.1109/ICASSP39728.2021.9415042},

doi = {10.1109/ICASSP39728.2021.9415042},

year  = {2021},

date = {2021-01-01},

booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing, 

 ICASSP 2021, Toronto, ON, Canada, June 6-11, 2021},

pages = {5949--5953},

publisher = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/pricai/HuangCXKH21,

title = {WINVC: One-Shot Voice Conversion with Weight Adaptive Instance Normalization},

author = {Shengjie Huang and Mingjie Chen and Yanyan Xu and Dengfeng Ke and Thomas Hain},

editor = {Duc Nghia Pham and Thanaruk Theeramunkong and Guido Governatori and Fenrong Liu},

url = {https://doi.org/10.1007/978-3-030-89363-7_42},

doi = {10.1007/978-3-030-89363-7_42},

year  = {2021},

date = {2021-01-01},

booktitle = {PRICAI 2021: Trends in Artificial Intelligence - 18th Pacific Rim 

 International Conference on Artificial Intelligence, PRICAI 2021, 

 Hanoi, Vietnam, November 8-12, 2021, Proceedings, Part II},

volume = {13032},

pages = {559--573},

publisher = {Springer},

series = {Lecture Notes in Computer Science},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/interspeech/ChenH20,

title = {Unsupervised Acoustic Unit Representation Learning for Voice Conversion 

 Using WaveNet Auto-Encoders},

author = {Mingjie Chen and Thomas Hain},

editor = {Helen Meng and Bo Xu and Thomas Fang Zheng},

url = {https://doi.org/10.21437/Interspeech.2020-1785},

doi = {10.21437/Interspeech.2020-1785},

year  = {2020},

date = {2020-01-01},

booktitle = {Interspeech 2020, 21st Annual Conference of the International Speech 

 Communication Association, Virtual Event, Shanghai, China, 25-29 October 

 2020},

pages = {4866--4870},

publisher = {ISCA},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}