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20212024
most citedThe VoicePrivacy 2020 Challenge Evaluation Plan

26 citations · 52 across the 11 of their papers we have counts for

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7 papers · 1 filter

eess.AS2024

The VoicePrivacy 2022 Challenge: Progress and Perspectives in Voice Anonymisation

Michele Panariello, Natalia Tomashenko, Xin Wang +7

The VoicePrivacy Challenge promotes the development of voice anonymisation solutions for speech technology. In this paper we present a systematic overview and analysis of the secon…

eess.AS2024★ 1 cited

The VoicePrivacy 2024 Challenge Evaluation Plan

Natalia Tomashenko, Xiaoxiao Miao, Pierre Champion +7

The task of the challenge is to develop a voice anonymization system for speech data which conceals the speaker's voice identity while protecting linguistic content and emotional s…

eess.AS2023★ 5 cited

Evaluation of Speaker Anonymization on Emotional Speech

Hubert Nourtel, Pierre Champion, Denis Jouvet +2

Speech data carries a range of personal information, such as the speaker's identity and emotional state. These attributes can be used for malicious purposes. With the development o…

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.AS2022★ 9 cited

The VoicePrivacy 2022 Challenge Evaluation Plan

Natalia Tomashenko, Xin Wang, Xiaoxiao Miao +7

For new participants - Executive summary: (1) The task is to develop a voice anonymization system for speech data which conceals the speaker's voice identity while protecting lingu…

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…

eess.AS2021★ 2 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…