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ORCIDRéda Dehak
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2020 – today
- 2024
[c23]David Doukhan, Christine Maertens, William Le Personnic, Ludovic Speroni, Réda Dehak:
InaGVAD : A Challenging French TV and Radio Corpus Annotated for Speech Activity Detection and Speaker Gender Segmentation. LREC/COLING 2024: 8963-8974- [c22]Théo Lepage, Réda Dehak:
Additive Margin in Contrastive Self-Supervised Frameworks to Learn Discriminative Speaker Representations. Odyssey 2024: 38-42 - [i7]Théo Lepage, Réda Dehak:
Additive Margin in Contrastive Self-Supervised Frameworks to Learn Discriminative Speaker Representations. CoRR abs/2404.14913 (2024) - [i6]Victor Miara, Théo Lepage, Réda Dehak:
Towards Supervised Performance on Speaker Verification with Self-Supervised Learning by Leveraging Large-Scale ASR Models. CoRR abs/2406.02285 (2024) - [i5]David Doukhan, Christine Maertens, William Le Personnic, Ludovic Speroni, Réda Dehak:
InaGVAD : a Challenging French TV and Radio Corpus Annotated for Speech Activity Detection and Speaker Gender Segmentation. CoRR abs/2406.04429 (2024) - [i4]Theophile Stourbe, Victor Miara, Théo Lepage, Réda Dehak:
Exploring WavLM Back-ends for Speech Spoofing and Deepfake Detection. CoRR abs/2409.05032 (2024) - 2023
- [c21]Corentin Duchêne, Henri Jamet, Pierre Guillaume, Réda Dehak:
Benchmark pour la classification de commentaires toxiques sur le jeu de données Civil Comments. EGC 2023: 19-30 - [c20]Théo Lepage
, Réda Dehak:
Experimenting with Additive Margins for Contrastive Self-Supervised Speaker Verification. INTERSPEECH 2023: 4708-4712 - [i3]Corentin Duchêne, Henri Jamet, Pierre Guillaume, Réda Dehak:
A benchmark for toxic comment classification on Civil Comments dataset. CoRR abs/2301.11125 (2023) - [i2]Théo Lepage, Réda Dehak:
Experimenting with Additive Margins for Contrastive Self-Supervised Speaker Verification. CoRR abs/2306.03664 (2023) - 2022
- [c19]Théo Lepage, Réda Dehak:
Label-Efficient Self-Supervised Speaker Verification With Information Maximization and Contrastive Learning. INTERSPEECH 2022: 4018-4022 - [i1]Théo Lepage, Réda Dehak:
Label-Efficient Self-Supervised Speaker Verification With Information Maximization and Contrastive Learning. CoRR abs/2207.05506 (2022) - 2020
- [j6]Jesús Villalba, Nanxin Chen, David Snyder, Daniel Garcia-Romero, Alan McCree, Gregory Sell, Jonas Borgstrom, Leibny Paola García-Perera, Fred Richardson, Réda Dehak, Pedro A. Torres-Carrasquillo, Najim Dehak:
State-of-the-art speaker recognition with neural network embeddings in NIST SRE18 and Speakers in the Wild evaluations. Comput. Speech Lang. 60 (2020)
2010 – 2019
- 2019
- [j5]Xavier F. Cadet, Réda Dehak, Sang Peter Chin, Miloud Bessafi:
Non-Linear Dynamics Analysis of Protein Sequences. Application to CYP450. Entropy 21(9): 852 (2019) - [c18]Jesús Villalba, Nanxin Chen, David Snyder, Daniel Garcia-Romero, Alan McCree, Gregory Sell, Jonas Borgstrom, Fred Richardson, Suwon Shon, François Grondin, Réda Dehak, Leibny Paola García-Perera, Daniel Povey, Pedro A. Torres-Carrasquillo, Sanjeev Khudanpur, Najim Dehak:
State-of-the-Art Speaker Recognition for Telephone and Video Speech: The JHU-MIT Submission for NIST SRE18. INTERSPEECH 2019: 1488-1492 - 2018
- [c17]Fred Richardson, Pedro A. Torres-Carrasquillo, Jonas Borgstrom, Douglas E. Sturim, Youngjune Gwon, Jesús Villalba, Jan Trmal, Nanxin Chen, Réda Dehak, Najim Dehak:
The MIT Lincoln Laboratory / JHU / EPITA-LSE LRE17 System. Odyssey 2018: 54-59 - 2017
- [c16]Pedro A. Torres-Carrasquillo, Fred Richardson, Shahan C. Nercessian, Douglas E. Sturim, William M. Campbell, Youngjune Gwon, Swaroop Vattam, Najim Dehak, Sri Harish Reddy Mallidi, Phani Sankar Nidadavolu, Ruizhi Li, Réda Dehak:
The MIT-LL, JHU and LRDE NIST 2016 Speaker Recognition Evaluation System. INTERSPEECH 2017: 1333-1337 - 2014
- [c15]Najim Dehak, Oldrich Plchot, Mohamad Hasan Bahari, Lukás Burget, Hugo Van hamme, Réda Dehak:
GMM Weights Adaptation Based on Subspace Approaches for Speaker Verification. Odyssey 2014: 48-53 - 2013
- [j4]Stephen Shum, Najim Dehak, Réda Dehak, James R. Glass:
Unsupervised Methods for Speaker Diarization: An Integrated and Iterative Approach. IEEE Trans. Speech Audio Process. 21(10): 2015-2028 (2013) - 2012
- [c14]Mohammed Senoussaoui, Najim Dehak, Patrick Kenny, Réda Dehak, Pierre Dumouchel:
First attempt of boltzmann machines for speaker verification. Odyssey 2012: 117-121 - 2011
- [j3]Najim Dehak, Patrick Kenny, Réda Dehak, Pierre Dumouchel, Pierre Ouellet:
Front-End Factor Analysis for Speaker Verification. IEEE Trans. Speech Audio Process. 19(4): 788-798 (2011) - [c13]Najim Dehak, Zahi N. Karam, Douglas A. Reynolds, Réda Dehak, William M. Campbell, James R. Glass:
A channel-blind system for speaker verification. ICASSP 2011: 4536-4539 - [c12]Najim Dehak, Pedro A. Torres-Carrasquillo, Douglas A. Reynolds, Réda Dehak:
Language Recognition via i-vectors and Dimensionality Reduction. INTERSPEECH 2011: 857-860 - 2010
- [c11]Najim Dehak, Réda Dehak, James R. Glass, Douglas A. Reynolds, Patrick Kenny:
Cosine Similarity Scoring without Score Normalization Techniques. Odyssey 2010: 15 - [c10]Stephen Shum, Najim Dehak, Réda Dehak, James R. Glass:
Unsupervised Speaker Adaptation based on the Cosine Similarity for Text-Independent Speaker Verification. Odyssey 2010: 16
2000 – 2009
- 2009
- [c9]Najim Dehak, Patrick Kenny, Réda Dehak, Ondrej Glembek, Pierre Dumouchel, Lukás Burget, Valiantsina Hubeika, Fabio Castaldo:
Support vector machines and Joint Factor Analysis for speaker verification. ICASSP 2009: 4237-4240 - [c8]Pierre Dumouchel, Najim Dehak, Yazid Attabi, Réda Dehak, Narjès Boufaden:
Cepstral and long-term features for emotion recognition. INTERSPEECH 2009: 344-347 - [c7]Najim Dehak, Réda Dehak, Patrick Kenny, Niko Brümmer, Pierre Ouellet, Pierre Dumouchel:
Support vector machines versus fast scoring in the low-dimensional total variability space for speaker verification. INTERSPEECH 2009: 1559-1562 - 2008
- [c6]Najim Dehak, Réda Dehak, Patrick Kenny, Pierre Dumouchel:
Comparison between factor analysis and GMM support vector machines for speaker verification. Odyssey 2008: 9 - [c5]Patrick Kenny, Najim Dehak, Réda Dehak, Vishwa Gupta, Pierre Dumouchel:
The role of speaker factors in the NIST extended data task. Odyssey 2008: 11 - [c4]Réda Dehak, Najim Dehak, Patrick Kenny, Pierre Dumouchel:
Kernel combination for SVM speaker verification. Odyssey 2008: 21 - 2007
- [c3]Réda Dehak, Najim Dehak, Patrick Kenny, Pierre Dumouchel:
Linear and non linear kernel GMM supervector machines for speaker verification. INTERSPEECH 2007: 302-305 - 2005
- [j2]Sidi Mohammed Réda Dehak, Isabelle Bloch, Henri Maître:
Spatial Reasoning with Incomplete Information on Relative Positioning. IEEE Trans. Pattern Anal. Mach. Intell. 27(9): 1473-1484 (2005) - 2004
- [c2]Emmanuele Grosicki, Karim Abed-Meraim, Réda Dehak:
A novel method to fight the non-line-of-sight error in AOA measurements for mobile location. ICC 2004: 2794-2798 - 2001
- [c1]Sidi Mohammed Réda Dehak, Isabelle Bloch, Henri Maître:
Inference of directional spatial relationship between points: a probabilistic approach. ICIP (3) 2001: 704-707 - 2000
- [j1]Abdel-Ouahab Boudraa, Sidi Mohammed Réda Dehak, Yue-Min Zhu, Chahin Pachai, Yong-Gang Bao, Jérôme Grimaud:
Automated segmentation of multiple sclerosis lesions in multispectral MR imaging using fuzzy clustering. Comput. Biol. Medicine 30(1): 23-40 (2000)
Coauthor Index
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