Driss Matrouf — accepted AI-conference papers

2024

RoboVox: A Single/Multi-channel Far-field Speaker Recognition Benchmark for a Mobile Robot

Mohammad Mohammadamini, Driss Matrouf, Michael Rouvier, Jean-Francois Bonastre, Romain Serizel, Theophile Gonos

COLING 2024main

In this paper, we introduce a new far-field speaker recognition benchmark called RoboVox. RoboVox is a French corpus recorded by a mobile robot. The files are recorded from different distances under severe acoustical conditions with the presence of several types of noise and reverberation. In additi…

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2023

Hiding Speaker's Sex in Speech Using Zero-Evidence Speaker Representation in an Analysis/Synthesis Pipeline

Paul-Gauthier Noé, Xiaoxiao Miao, Xin Wang, Junichi Yamagishi, Jean-François Bonastre, Driss Matrouf

ICASSP 2023accepted

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 transform the speaker embedding and the pitch in order to hide the sex of the speaker. ECAPA-TDNN-based speaker representatio…

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2022

A Bridge between Features and Evidence for Binary Attribute-Driven Perfect Privacy

Paul-Gauthier Noé, Andreas Nautsch, Driss Matrouf, Pierre-Michel Bousquet, Jean-François Bonastre

ICASSP 2022accepted

Attribute-driven privacy aims to conceal a single user’s attribute, contrary to anonymisation that tries to hide the full identity of the user in some data. When the attribute to protect from malicious inferences is binary, perfect privacy requires the log-likelihood-ratio to be zero resulting in no…

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2015

Additive noise compensation in the i-vector space for speaker recognition

Waad Ben Kheder, Driss Matrouf, Jean-François Bonastre, Moez Ajili, Pierre-Michel Bousquet

ICASSP 2015accepted

State-of-the-art speaker recognition systems performance degrades considerably in noisy environments even though they achieve very good results in clean conditions. In order to deal with this strong limitation, we aim in this work to remove the noisy part of an i-vector directly in the i-vector spac…

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