  The VoicePrivacy initiative 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 paper, 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.

Computation and Language