Search Results for author: Driss Matrouf

Found 7 papers, 3 papers with code

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

1 code implementation29 Nov 2022 Paul-Gauthier Noé, Xiaoxiao Miao, Xin Wang, Junichi Yamagishi, Jean-François Bonastre, Driss Matrouf

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.

Voice Conversion

Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation

1 code implementation8 Dec 2020 Paul-Gauthier Noé, Mohammad Mohammadamini, Driss Matrouf, Titouan Parcollet, Andreas Nautsch, Jean-François Bonastre

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 voice representation.

Disentanglement Person Identification +5

Speech Pseudonymisation Assessment Using Voice Similarity Matrices

2 code implementations30 Aug 2020 Paul-Gauthier Noé, Jean-François Bonastre, Driss Matrouf, Natalia Tomashenko, Andreas Nautsch, Nicholas Evans

The proliferation of speech technologies and rising privacy legislation calls for the development of privacy preservation solutions for speech applications.


Data augmentation versus noise compensation for x- vector speaker recognition systems in noisy environments

no code implementations29 Jun 2020 Mohammad Mohammadamini, Driss Matrouf

Previous studies suggest that by increasing the number of speakers in the training data and using data augmentation more robust speaker recognition systems are achievable in noisy environments.

Data Augmentation Denoising +1

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