The VoicePrivacy 2020 Challenge Evaluation Plan
Natalia Tomashenko, Brij Mohan Lal Srivastava, Xin Wang, Emmanuel, Vincent, Andreas Nautsch, Junichi Yamagishi, Nicholas Evans, Jose Patino,, Jean-Fran\c{c}ois Bonastre, Paul-Gauthier No\'e, Massimiliano Todisco

TL;DR
The VoicePrivacy 2020 Challenge establishes a framework for developing and benchmarking speech anonymization tools to enhance privacy in voice technology, including datasets, attack models, and evaluation metrics.
Contribution
It defines the voice anonymization task, introduces baseline solutions, and sets up evaluation protocols for privacy-preserving speech technology.
Findings
Two anonymization baselines evaluated
Objective evaluation results reported
Framework for privacy benchmarking established
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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Taxonomy
TopicsSpeech Recognition and Synthesis · Voice and Speech Disorders · Speech and dialogue systems
