Jesús Villalba
Cited by
Cited by
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
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
Preventing replay attacks on speaker verification systems
J Villalba, E Lleida
IEEE International Carnahan Conference on Security Technology, ICCST 2011 …, 2011
ASSERT: Anti-spoofing with squeeze-excitation and residual networks
CI Lai, N Chen, J Villalba, N Dehak
arXiv preprint arXiv:1904.01120, 2019
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
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
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
Non-autoregressive transformer for speech recognition
N Chen, S Watanabe, J Villalba, P Żelasko, N Dehak
IEEE Signal Processing Letters 28, 121-125, 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
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
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
Speaker verification performance degradation against spoofing and tampering attacks
J Villalba, E Lleida
FALA 2010, 131-134, 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
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
End-to-end Deep Neural Network Age Estimation.
P Ghahremani, PS Nidadavolu, N Chen, J Villalba, D Povey, ...
Interspeech 2018, 277-281, 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
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
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
Unsupervised adaptation of PLDA by using variational Bayes methods
J Villalba, E Lleida
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
Segmental contrastive predictive coding for unsupervised word segmentation
S Bhati, J Villalba, P Żelasko, L Moro-Velazquez, N Dehak
arXiv preprint arXiv:2106.02170, 2021
The system can't perform the operation now. Try again later.
Articles 1–20