5 citations · 8 across the 9 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…