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ORCIDWaad Ben Kheder
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2020 – today
- 2023
[c17]Tanel Alumäe, Kunnar Kukk
, Viet Bac Le, Claude Barras, Abdel Messaoudi, Waad Ben Kheder:
Exploring the Impact of Pretrained Models and Web-Scraped Data for the 2022 NIST Language Recognition Evaluation. INTERSPEECH 2023: 516-520
2010 – 2019
- 2019
- [j3]Mohamed Morchid, Pierre-Michel Bousquet, Waad Ben Kheder, Killian Janod:
Latent Topic-based Subspace for Natural Language Processing. J. Signal Process. Syst. 91(8): 833-853 (2019) - [c16]Jodie Gauvain, Lori Lamel, Viet Bac Le, Julien Despres, Jean-Luc Gauvain, Abdel Messaoudi, Bianca Vieru, Waad Ben Kheder:
Challenges in Audio Processing of Terrorist-Related Data. MMM (2) 2019: 80-92 - 2018
- [j2]Waad Ben Kheder, Driss Matrouf, Moez Ajili, Jean-François Bonastre:
A Unified Joint Model to Deal With Nuisance Variabilities in the i-Vector Space. IEEE ACM Trans. Audio Speech Lang. Process. 26(3): 633-645 (2018) - 2017
- [b1]Waad Ben Kheder:
Reconnaissance du locuteur en milieux difficiles. (Speaker recognition in noisy environments). University of Avignon, France, 2017 - [j1]Waad Ben Kheder, Driss Matrouf, Pierre-Michel Bousquet, Jean-François Bonastre, Moez Ajili:
Fast i-vector denoising using MAP estimation and a noise distributions database for robust speaker recognition. Comput. Speech Lang. 45: 104-122 (2017) - [c15]Moez Ajili, Jean-François Bonastre, Waad Ben Kheder, Solange Rossato, Juliette Kahn:
Phonological content impact on wrongful convictions in Forensic Voice Comparison context. ICASSP 2017: 2147-2151 - [c14]Kong-Aik Lee, Ville Hautamäki, Tomi Kinnunen, Anthony Larcher, Chunlei Zhang, Andreas Nautsch, Themos Stafylakis, Gang Liu, Mickaël Rouvier, Wei Rao, Federico Alegre, J. Ma, Man-Wai Mak, Achintya Kumar Sarkar, Héctor Delgado, Rahim Saeidi, Hagai Aronowitz, Aleksandr Sizov, Hanwu Sun, Trung Hieu Nguyen, Guangsen Wang, Bin Ma, Ville Vestman, Md. Sahidullah, M. Halonen, Anssi Kanervisto, Gaël Le Lan, Fahimeh Bahmaninezhad, Sergey Isadskiy, Christian Rathgeb, Christoph Busch, Georgios Tzimiropoulos, Q. Qian, Z. Wang, Q. Zhao, T. Wang, H. Li, J. Xue, S. Zhu, R. Jin, T. Zhao, Pierre-Michel Bousquet, Moez Ajili, Waad Ben Kheder, Driss Matrouf, Zhi Hao Lim, Chenglin Xu, Haihua Xu, Xiong Xiao, Eng Siong Chng, Benoit G. B. Fauve, Kaavya Sriskandaraja, Vidhyasaharan Sethu, W. W. Lin, Dennis Alexander Lehmann Thomsen, Zheng-Hua Tan, Massimiliano Todisco, Nicholas W. D. Evans, Haizhou Li, John H. L. Hansen, Jean-François Bonastre, Eliathamby Ambikairajah:
The I4U Mega Fusion and Collaboration for NIST Speaker Recognition Evaluation 2016. INTERSPEECH 2017: 1328-1332 - [c13]Imed Laaridh, Waad Ben Kheder, Corinne Fredouille, Christine Meunier:
Automatic Prediction of Speech Evaluation Metrics for Dysarthric Speech. INTERSPEECH 2017: 1834-1838 - [c12]Moez Ajili, Jean-François Bonastre, Waad Ben Kheder, Solange Rossato, Juliette Kahn:
Homogeneity Measure Impact on Target and Non-Target Trials in Forensic Voice Comparison. INTERSPEECH 2017: 2844-2848 - 2016
- [c11]Mohamed Morchid, Mohamed Bouaziz, Waad Ben Kheder, Killian Janod, Pierre-Michel Bousquet, Richard Dufour, Georges Linarès:
Spoken Language Understanding in a Latent Topic-Based Subspace. INTERSPEECH 2016: 710-714 - [c10]Waad Ben Kheder, Moez Ajili, Pierre-Michel Bousquet, Driss Matrouf, Jean-François Bonastre:
LIA System for the SITW Speaker Recognition Challenge. INTERSPEECH 2016: 848-852 - [c9]Waad Ben Kheder, Driss Matrouf, Moez Ajili, Jean-François Bonastre:
Probabilistic Approach Using Joint Long and Short Session i-Vectors Modeling to Deal with Short Utterances for Speaker Recognition. INTERSPEECH 2016: 1830-1834 - [c8]Waad Ben Kheder, Driss Matrouf, Moez Ajili, Jean-François Bonastre:
Probabilistic Approach Using Joint Clean and Noisy i-Vectors Modeling for Speaker Recognition. INTERSPEECH 2016: 3638-3642 - [c7]Waad Ben Kheder, Driss Matrouf, Moez Ajili, Jean-François Bonastre:
Iterative Bayesian and MMSE-based noise compensation techniques for speaker recognition in the i-vector space. Odyssey 2016: 60-67 - [c6]Waad Ben Kheder, Driss Matrouf, Moez Ajili, Jean-François Bonastre:
Local binary patterns as features for speaker recognition. Odyssey 2016: 346-351 - [c5]Moez Ajili, Jean-François Bonastre, Waad Ben Kheder, Solange Rossato, Juliette Kahn:
Phonetic content impact on Forensic Voice Comparison. SLT 2016: 210-217 - [c4]Mohamed Bouaziz, Mohamed Morchid, Pierre-Michel Bousquet, Richard Dufour, Killian Janod, Waad Ben Kheder, Georges Linarès:
Un Sous-espace Thématique Latent pour la Compréhension du Langage Parlé (A Latent Topic-based Subspace for Spoken Language Understanding). JEP-TALN-RECITAL (1) 2016: 651-659 - [i1]Mickael Rouvier, Pierre-Michel Bousquet, Moez Ajili, Waad Ben Kheder, Driss Matrouf, Jean-François Bonastre:
LIA system description for NIST SRE 2016. CoRR abs/1612.05168 (2016) - 2015
- [c3]Driss Matrouf, Waad Ben Kheder, Pierre-Michel Bousquet, Moez Ajili, Jean-François Bonastre:
Dealing with additive noise in speaker recognition systems based on i-vector approach. EUSIPCO 2015: 2092-2096 - [c2]Waad Ben Kheder, Driss Matrouf, Jean-François Bonastre, Moez Ajili, Pierre-Michel Bousquet:
Additive noise compensation in the i-vector space for speaker recognition. ICASSP 2015: 4190-4194 - 2014
- [c1]Waad Ben Kheder, Driss Matrouf, Pierre-Michel Bousquet, Jean-François Bonastre, Moez Ajili:
Robust Speaker Recognition Using MAP Estimation of Additive Noise in i-vectors Space. SLSP 2014: 97-107
Coauthor Index
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