| Hierarchical transformers for long document classification R Pappagari, P Zelasko, J Villalba, Y Carmiel, N Dehak 2019 IEEE automatic speech recognition and understanding workshop (ASRU …, 2019 | 313 | 2019 |
| Diarization is Hard: Some Experiences and Lessons Learned for the JHU Team in the Inaugural DIHARD Challenge. G Sell, D Snyder, A McCree, D Garcia-Romero, J Villalba, M Maciejewski, ... Interspeech, 2808-2812, 2018 | 252 | 2018 |
| ASSERT: Anti-spoofing with squeeze-excitation and residual networks CI Lai, N Chen, J Villalba, N Dehak arXiv preprint arXiv:1904.01120, 2019 | 189 | 2019 |
| Preventing replay attacks on speaker verification systems J Villalba, E Lleida IEEE International Carnahan Conference on Security Technology, ICCST 2011 …, 2011 | 183 | 2011 |
| Detecting replay attacks from far-field recordings on speaker verification systems J Villalba, E Lleida Biometrics and ID Management, Proceedings of the COST 2101 European Workshop …, 2011 | 156 | 2011 |
| State-of-the-art speaker recognition with neural network embeddings in NIST SRE18 and speakers in the wild evaluations J Villalba, N Chen, D Snyder, D Garcia-Romero, A McCree, G Sell, ... Computer Speech & Language 60, 101026, 2020 | 148 | 2020 |
| x-vectors meet emotions: A study on dependencies between emotion and speaker recognition R Pappagari, T Wang, J Villalba, N Chen, N Dehak ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 144 | 2020 |
| Non-autoregressive transformer for speech recognition N Chen, S Watanabe, J Villalba, P Żelasko, N Dehak IEEE Signal Processing Letters 28, 121-125, 2020 | 137 | 2020 |
| Voice pathology detection on the Saarbrücken voice database with calibration and fusion of scores using multifocal toolkit D Martínez, E Lleida, A Ortega, A Miguel, J Villalba Advances in Speech and Language Technologies for Iberian Languages …, 2012 | 125 | 2012 |
| Deep Neural Networks for Emotion Recognition Combining Audio and Transcripts. J Cho, R Pappagari, P Kulkarni, J Villalba, Y Carmiel, N Dehak Interspeech, 247-251, 2018 | 123 | 2018 |
| State-of-the-Art Speaker Recognition for Telephone and Video Speech: The JHU-MIT Submission for NIST SRE18. J Villalba, N Chen, D Snyder, D Garcia-Romero, A McCree, G Sell, ... Interspeech, 1488-1492, 2019 | 122 | 2019 |
| Speaker verification performance degradation against spoofing and tampering attacks J Villalba, E Lleida FALA 2010, 131-134, 2010 | 116 | 2010 |
| Spoofing Detection with DNN and One-class SVM for the ASVspoof 2015 Challenge J Villalba, A Miguel, A Ortega, E Lleida Interspeech 2015, 2015 | 95 | 2015 |
| Analysis of speaker recognition methodologies and the influence of kinetic changes to automatically detect Parkinson's Disease L Moro-Velazquez, JA Gómez-García, JI Godino-Llorente, J Villalba, ... Applied Soft Computing 62, 649-666, 2018 | 94 | 2018 |
| End-to-end Deep Neural Network Age Estimation. P Ghahremani, PS Nidadavolu, N Chen, J Villalba, D Povey, ... Interspeech 2018, 277-281, 2018 | 71 | 2018 |
| Towards Fully Bayesian Speaker Recognition: Integrating Out the Between-Speaker Covariance. J Villalba, N Brümmer 12th Annual Conference of the International Speech Communication Association …, 2011 | 66 | 2011 |
| A forced gaussians based methodology for the differential evaluation of Parkinson's Disease by means of speech processing L Moro-Velazquez, JA Gomez-Garcia, JI Godino-Llorente, J Villalba, ... Biomedical Signal Processing and Control 48, 205-220, 2019 | 65 | 2019 |
| Using x-vectors to automatically detect parkinson’s disease from speech L Moro-Velazquez, J Villalba, N Dehak ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 63 | 2020 |
| Automatic Detection and Assessment of Alzheimer Disease Using Speech and Language Technologies in Low-Resource Scenarios. R Pappagari, J Cho, S Joshi, L Moro-Velázquez, P Zelasko, J Villalba, ... Interspeech 2021, 3825-3829, 2021 | 55 | 2021 |
| Unsupervised adaptation of PLDA by using variational Bayes methods J Villalba, E Lleida 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 55 | 2014 |
Najim DehakAssociate Professor at ECE department, Johns Hopkins University.Verified email at jhu.edu
