The VoicePrivacy 2020 Challenge Evaluation Plan

Autor:	Tomashenko, Natalia, Srivastava, Brij Mohan Lal, Wang, Xin, Vincent, Emmanuel, Nautsch, Andreas, Yamagishi, Junichi, Evans, Nicholas, Patino, Jose, Bonastre, Jean-François, Noé, Paul-Gauthier, Todisco, Massimiliano
Rok vydání:	2022
Předmět:	Computer Science - Computation and Language Computer Science - Cryptography and Security Electrical Engineering and Systems Science - Audio and Speech Processing
Druh dokumentu:	Working Paper
Popis:	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. Comment: arXiv admin note: text overlap with arXiv:2203.12468
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2205.07123 Zobrazit plný text záznamu View this record from Arxiv