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20202023
most citedThe VoicePrivacy 2020 Challenge: Results and findings

106 citations · 269 across the 10 of their papers we have counts for

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Showing eess.ASShow all

5 papers · 1 filter

eess.AS2023★ 9 cited

New Challenges for Content Privacy in Speech and Audio

Jennifer Williams, Karla Pizzi, Shuvayanti Das +1

Privacy in speech and audio has many facets. A particularly under-developed area of privacy in this domain involves consideration for information related to content and context. Sp…

eess.AS2022★ 2 cited

Hiding speaker's sex in speech using zero-evidence speaker representation in an analysis/synthesis pipeline

Paul-Gauthier Noé, Xiaoxiao Miao, Xin Wang +3

The use of modern vocoders in an analysis/synthesis pipeline allows us to investigate high-quality voice conversion that can be used for privacy purposes. Here, we propose to trans…

eess.AS2021

Revisiting Speech Content Privacy

Jennifer Williams, Junichi Yamagishi, Paul-Gauthier Noe +2

In this paper, we discuss an important aspect of speech privacy: protecting spoken content. New capabilities from the field of machine learning provide a unique and timely opportun…

eess.AS2020

Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation

Paul-Gauthier Noé, Mohammad Mohammadamini, Driss Matrouf +3

In speech technologies, speaker's voice representation is used in many applications such as speech recognition, voice conversion, speech synthesis and, obviously, user authenticati…

eess.AS2020★ 1 cited

Speech Pseudonymisation Assessment Using Voice Similarity Matrices

Paul-Gauthier Noé, Jean-François Bonastre, Driss Matrouf +3

The proliferation of speech technologies and rising privacy legislation calls for the development of privacy preservation solutions for speech applications. These are essential sin…