Can I read HLTCOE JHU Submission to the Voice Privacy Challenge 2024 on EtoBox?

HLTCOE JHU Submission to the Voice Privacy Challenge 2024 by Xinyuan, Henry Li; Cai, Zexin; Garg, Ashi; Duh, Kevin; García-Perera, Leibny Paola; Khudanpur, Sanjeev; Andrews, Nicholas; Wiesner, Matthew is a scholarly article available to read on EtoBox.

What is HLTCOE JHU Submission to the Voice Privacy Challenge 2024 about?

We present a number of systems for the Voice Privacy Challenge, including voice conversion based systems such as the kNN-VC method and the WavLM voice Conversion method, and text-to-speech (TTS) based systems including Whisper-VITS. We found that while voice conversion systems better preserve emotional content, they struggle to conceal speaker identity in semi-white-box attack scenarios; conversely, TTS methods perform better at anonymization and worse at emotion preservation. Finally, we propose a random admixture system which seeks to balance out the strengths and weaknesses of the two category of systems, achieving a strong EER of over 40% while maintaining UAR at a respectable 47%.

Author

Xinyuan, Henry Li; Cai, Zexin; Garg, Ashi; Duh, Kevin; García-Perera, Leibny Paola; Khudanpur, Sanjeev; Andrews, Nicholas; Wiesner, Matthew

Published

2024

Language

EN