5 citations · 8 across the 11 of their papers we have counts for
11 papers
Entropy-aware logistic regression for fusion of large-scale speaker recognition systems
Pierre-Michel Bousquet, Mickael Rouvier
Score-level fusion based on logistic regression is widely used in speaker recognition to combine complementary systems. However, conventional approaches assign fixed system-depende…
Kiwano: A Cutting-Edge Open-Source Toolkit for Speaker Verification
Mickael Rouvier, Pierre Michel Bousquet
In this paper, we present Kiwano, an open-source toolkit designed to advance research and evaluation for speaker verification. Kiwano provides a lightweight yet extensible framewor…
The distribution of calibrated likelihood functions on the probability-likelihood Aitchison simplex
Paul-Gauthier Noé, Andreas Nautsch, Driss Matrouf +2
While calibration of probabilistic predictions has been widely studied, this paper rather addresses calibration of likelihood functions. This has been discussed, especially in biom…
Asymmetric and trial-dependent modeling: the contribution of LIA to SdSV Challenge Task 2
Pierre-Michel Bousquet, Mickael Rouvier
The SdSv challenge Task 2 provided an opportunity to assess efficiency and robustness of modern text-independent speaker verification systems. But it also made it possible to test…
Jeffreys divergence-based regularization of neural network output distribution applied to speaker recognition
Pierre-Michel Bousquet, Mickael Rouvier
A new loss function for speaker recognition with deep neural network is proposed, based on Jeffreys Divergence. Adding this divergence to the cross-entropy loss function allows to…
I4U System Description for NIST SRE'20 CTS Challenge
Kong Aik Lee, Tomi Kinnunen, Daniele Colibro +23
This manuscript describes the I4U submission to the 2020 NIST Speaker Recognition Evaluation (SRE'20) Conversational Telephone Speech (CTS) Challenge. The I4U's submission was resu…
A bridge between features and evidence for binary attribute-driven perfect privacy
Paul-Gauthier Noé, Andreas Nautsch, Driss Matrouf +2
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 p…
Studying squeeze-and-excitation used in CNN for speaker verification
Mickael Rouvier, Pierre-Michel Bousquet
In speaker verification, the extraction of voice representations is mainly based on the Residual Neural Network (ResNet) architecture. ResNet is built upon convolution layers which…
Study on the temporal pooling used in deep neural networks for speaker verification
Mickael Rouvier, Pierre-Michel Bousquet, Jarod Duret
The x-vector architecture has recently achieved state-of-the-art results on the speaker verification task. This architecture incorporates a central layer, referred to as temporal p…
I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences
Kong Aik Lee, Ville Hautamaki, Tomi Kinnunen +43
The I4U consortium was established to facilitate a joint entry to NIST speaker recognition evaluations (SRE). The latest edition of such joint submission was in SRE 2018, in which…
LIA system description for NIST SRE 2016
Mickael Rouvier, Pierre-Michel Bousquet, Moez Ajili +3
This paper describes the LIA speaker recognition system developed for the Speaker Recognition Evaluation (SRE) campaign. Eight sub-systems are developed, all based on a state-of-th…