ISCA Archive SPSC 2022
ISCA Archive SPSC 2022

System description for Voice Privacy Challenge 2022

Xiaojiao Chen, Guangxing Li, Hao Huang, Wangjin Zhou, Sheng Li, Yang Cao, Yi Zhao

This paper introduces our system submitted to Voice Privacy Challenge 2022. We adopted the following methods to improve the traditional methods. Firstly, the adversarial anonymization method was used, further hiding speaker information. Then, we extracted the embedding from the encoder of the transformer based ASR systems because ASR has rich speaker information, so we do not have to train an individual speaker recognition/verification system for speaker embedding extraction. Experimental results prove that the proposed methods can be used for speaker anonymization tasks.


Cite as: Chen, X., Li, G., Huang, H., Zhou, W., Li, S., Cao, Y., Zhao, Y. (2022) System description for Voice Privacy Challenge 2022 . Proc. 2nd Symposium on Security and Privacy in Speech Communication,

@inproceedings{chen22_spsc,
  author={Xiaojiao Chen and Guangxing Li and Hao Huang and Wangjin Zhou and Sheng Li and Yang Cao and Yi Zhao},
  title={{System description for Voice Privacy Challenge 2022 }},
  year=2022,
  booktitle={Proc. 2nd Symposium on Security and Privacy in Speech Communication},
  pages={}
}