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

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SD2022

How to Leverage DNN-based speech enhancement for multi-channel speaker verification?

Sandipana Dowerah, Romain Serizel, Denis Jouvet +2

Speaker verification (SV) suffers from unsatisfactory performance in far-field scenarios due to environmental noise andthe adverse impact of room reverberation. This work presents…

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…