most citedThe VoicePrivacy 2020 Challenge Evaluation Plan

26 citations · 28 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL202226 cited

The VoicePrivacy 2020 Challenge Evaluation Plan

Natalia Tomashenko, Brij Mohan Lal Srivastava, Xin Wang +8

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…

eess.AS2022

Privacy-Preserving Speech Representation Learning using Vector Quantization

Pierre Champion, Denis Jouvet, Anthony Larcher

With the popularity of virtual assistants (e.g., Siri, Alexa), the use of speech recognition is now becoming more and more widespread.However, speech signals contain a lot of sensi…

eess.AS2021

On the invertibility of a voice privacy system using embedding alignement

Pierre Champion, Thomas Thebaud, Gaël Le Lan +2

This paper explores various attack scenarios on a voice anonymization system using embeddings alignment techniques. We use Wasserstein-Procrustes (an algorithm initially designed f…

cs.SD2021

Evaluating X-vector-based Speaker Anonymization under White-box Assessment

Pierre Champion, Denis Jouvet, Anthony Larcher

In the scenario of the Voice Privacy challenge, anonymization is achieved by converting all utterances from a source speaker to match the same target identity; this identity being…

eess.AS20212 cited

A Study of F0 Modification for X-Vector Based Speech Pseudonymization Across Gender

Pierre Champion, Denis Jouvet, Anthony Larcher

Speech pseudonymization aims at altering a speech signal to map the identifiable personal characteristics of a given speaker to another identity. In other words, it aims to hide th…