activity
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 2020Show all

5 papers · 1 filter

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…

cs.CR2020★ 23 cited

The Privacy ZEBRA: Zero Evidence Biometric Recognition Assessment

Andreas Nautsch, Jose Patino, Natalia Tomashenko +5

Mounting privacy legislation calls for the preservation of privacy in speech technology, though solutions are gravely lacking. While evaluation campaigns are long-proven tools to d…

cs.CL2020★ 100 cited

Introducing the VoicePrivacy Initiative

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

The VoicePrivacy initiative 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…

cs.SD2020

CGCNN: Complex Gabor Convolutional Neural Network on raw speech

Paul-Gauthier Noé, Titouan Parcollet, Mohamed Morchid

Convolutional Neural Networks (CNN) have been used in Automatic Speech Recognition (ASR) to learn representations directly from the raw signal instead of hand-crafted acoustic feat…