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Introducing the VoicePrivacy initiative

Natalia Tomashenko 1 Brij Mohan Lal Srivastava 2, 3 Xin Wang 4 Emmanuel Vincent 3 Andreas Nautsch 5 Junichi Yamagishi 4, 6 Nicholas Evans 5 Jose Patino 5 Jean-François Bonastre 1 Paul-Gauthier Noé 1 Massimiliano Todisco 5 
2 MAGNET - Machine Learning in Information Networks
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189
3 MULTISPEECH - Speech Modeling for Facilitating Oral-Based Communication
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : 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.
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Submitted on : Saturday, July 25, 2020 - 9:46:22 PM
Last modification on : Wednesday, September 7, 2022 - 8:14:05 AM


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  • HAL Id : hal-02562199, version 3


Natalia Tomashenko, Brij Mohan Lal Srivastava, Xin Wang, Emmanuel Vincent, Andreas Nautsch, et al.. Introducing the VoicePrivacy initiative. INTERSPEECH 2020, Oct 2020, Shanghai, China. ⟨hal-02562199v3⟩



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