The VoicePrivacy 2020 Challenge Evaluation Plan

May 14, 2022 ยท Declared Dead ยท ๐Ÿ› arXiv.org

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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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