Robust Speaker Recognition Using MAP Estimation of Additive Noise in i-vectors Space. - Waad Ben Kheder; Driss Matrouf; Pierre-Michel Bousquet; Jean-François Bonastre; Moez Ajili (SLSP, 2014)

Dealing with additive noise in speaker recognition systems based on i-vector approach. - Driss Matrouf; Waad Ben Kheder; Pierre-Michel Bousquet; Moez Ajili; Jean-François Bonastre (EUSIPCO, 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, 2015)

LIA System for the SITW Speaker Recognition Challenge. - Waad Ben Kheder; Moez Ajili; Pierre-Michel Bousquet; Driss Matrouf; Jean-François Bonastre (INTERSPEECH, 2016)

Probabilistic Approach Using Joint Long and Short Session i-Vectors Modeling to Deal with Short Utterances for Speaker Recognition. - Waad Ben Kheder; Driss Matrouf; Moez Ajili; Jean-François Bonastre (INTERSPEECH, 2016)

Probabilistic Approach Using Joint Clean and Noisy i-Vectors Modeling for Speaker Recognition. - Waad Ben Kheder; Driss Matrouf; Moez Ajili; Jean-François Bonastre (INTERSPEECH, 2016)

Spoken Language Understanding in a Latent Topic-Based Subspace. - Mohamed Morchid; Mohamed Bouaziz 001; Waad Ben Kheder; Killian Janod; Pierre-Michel Bousquet; Richard Dufour; Georges Linarès (INTERSPEECH, 2016)

Local binary patterns as features for speaker recognition. - Waad Ben Kheder; Driss Matrouf; Moez Ajili; Jean-François Bonastre (Odyssey, 2016)

Iterative Bayesian and MMSE-based noise compensation techniques for speaker recognition in the i-vector space. - Waad Ben Kheder; Driss Matrouf; Moez Ajili; Jean-François Bonastre (Odyssey, 2016)

Phonetic content impact on Forensic Voice Comparison. - Moez Ajili; Jean-François Bonastre; Waad Ben Kheder; Solange Rossato; Juliette Kahn (SLT, 2016)

Un Sous-espace Thématique Latent pour la Compréhension du Langage Parlé (A Latent Topic-based Subspace for Spoken Language Understanding). - Mohamed Bouaziz 001; Mohamed Morchid; Pierre-Michel Bousquet; Richard Dufour; Killian Janod; Waad Ben Kheder; Georges Linarès (JEP-TALN-RECITAL (1), 2016)

LIA system description for NIST SRE 2016. - Mickael Rouvier; Pierre-Michel Bousquet; Moez Ajili; Waad Ben Kheder; Driss Matrouf; Jean-François Bonastre (CoRR, 2016)

Phonological content impact on wrongful convictions in Forensic Voice Comparison context. - Moez Ajili; Jean-François Bonastre; Waad Ben Kheder; Solange Rossato; Juliette Kahn (ICASSP, 2017)

Homogeneity Measure Impact on Target and Non-Target Trials in Forensic Voice Comparison. - Moez Ajili; Jean-François Bonastre; Waad Ben Kheder; Solange Rossato; Juliette Kahn (INTERSPEECH, 2017)

Automatic Prediction of Speech Evaluation Metrics for Dysarthric Speech. - Imed Laaridh; Waad Ben Kheder; Corinne Fredouille; Christine Meunier (INTERSPEECH, 2017)

The I4U Mega Fusion and Collaboration for NIST Speaker Recognition Evaluation 2016. - Kong-Aik Lee; Ville Hautamäki; Tomi Kinnunen; Anthony Larcher; Chunlei Zhang; Andreas Nautsch; Themos Stafylakis; Gang Liu 001; Mickaël Rouvier; Wei Rao 002; Federico Alegre; J. Ma; et al. (INTERSPEECH, 2017)

Fast i-vector denoising using MAP estimation and a noise distributions database for robust speaker recognition. - Waad Ben Kheder; Driss Matrouf; Pierre-Michel Bousquet; Jean-François Bonastre; Moez Ajili (Comput. Speech Lang., 2017)

Reconnaissance du locuteur en milieux difficiles. (Speaker recognition in noisy environments). - Waad Ben Kheder (2017)

A Unified Joint Model to Deal With Nuisance Variabilities in the i-Vector Space. - Waad Ben Kheder; Driss Matrouf; Moez Ajili; Jean-François Bonastre (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

Challenges in Audio Processing of Terrorist-Related Data. - Jodie Gauvain; Lori Lamel; Viet Bac Le; Julien Despres; Jean-Luc Gauvain; Abdel Messaoudi; Bianca Vieru; Waad Ben Kheder (MMM (2), 2019)

Latent Topic-based Subspace for Natural Language Processing. - Mohamed Morchid; Pierre-Michel Bousquet; Waad Ben Kheder; Killian Janod (J. Signal Process. Syst., 2019)

Exploring the Impact of Pretrained Models and Web-Scraped Data for the 2022 NIST Language Recognition Evaluation. - Tanel Alumäe; Kunnar Kukk; Viet Bac Le; Claude Barras; Abdel Messaoudi; Waad Ben Kheder (INTERSPEECH, 2023)