Dec 8, 2020 · We propose to use an adversarial autoencoding method that disentangles in the voice representation a given speaker attribute thus allowing its concealment.

In addition to the targeted information, these representations usually contain sensitive information about the speaker, like the age, sex, physical state, ...

This paper defines an adversarial autoencoding method that disentangles a given speaker attribute from its neural representation and shows that the defined ...

Dec 8, 2020 · This article proposes a first solution to the attribute-driven privacy preservation con- cept, capable of managing the male/female attribute in ...

Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation. Paul-Gauthier Noé, Mohammad Mohammadamini, Driss Matrouf ...

Jun 4, 2024 · In order to allow the user to choose which information to protect, we introduce in this paper the concept of attribute-driven privacy ...

This repository contains the source codes from "Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation".

Jun 16, 2021 · Bonastre, “Adversarial disentanglement of speaker representation for attribute-driven privacy preservation,” 2020,. arXiv:2012.04454, version 1.

Latest. Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation. Published with Wowchemy — the free, open source ...

In order to allow the user to choose which information to protect, we introduce in this paper the concept of attribute-driven privacy preservation in speaker ...