The VoicePrivacy 2020 Challenge Evaluation Plan
May 14, 2022 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Natalia Tomashenko, Brij Mohan Lal Srivastava, Xin Wang, Emmanuel Vincent, Andreas Nautsch, Junichi Yamagishi, Nicholas Evans, Jose Patino, Jean-Franรงois Bonastre, Paul-Gauthier Noรฉ, Massimiliano Todisco
arXiv ID
2205.07123
Category
cs.CL: Computation & Language
Cross-listed
cs.CR,
eess.AS
Citations
48
Venue
arXiv.org
Last Checked
4 months ago
Abstract
The VoicePrivacy Challenge aims to promote the development of privacy preservation tools for speech technology by gathering a new community to define the tasks of interest and the evaluation methodology, and benchmarking solutions through a series of challenges. In this document, we formulate the voice anonymization task selected for the VoicePrivacy 2020 Challenge and describe the datasets used for system development and evaluation. We also present the attack models and the associated objective and subjective evaluation metrics. We introduce two anonymization baselines and report objective evaluation results.
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