CLCRASMay 14, 2022

The VoicePrivacy 2020 Challenge Evaluation Plan

arXiv:2205.07123v150 citationsh-index: 75
Originality Synthesis-oriented
AI Analysis

It addresses privacy preservation for users of speech technology, but is incremental as it focuses on setting up a challenge framework rather than introducing new solutions.

The paper tackles the problem of voice anonymization in speech technology by defining tasks, evaluation methods, and datasets for the VoicePrivacy 2020 Challenge, and reports objective results from two baseline anonymization methods.

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.

Code Implementations1 repo
Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes