| Optimization of False Acceptance/Rejection Rates and Decision Threshold for End-to-End Text-Dependent Speaker Verification Systems. V Mingote, A Miguel, D Ribas, AO Giménez, E Lleida INTERSPEECH, 2903-2907, 2019 | 27 | 2019 |
| Automatic voice disorder detection using self-supervised representations D Ribas, MA Pastor, A Miguel, D Martínez, A Ortega, E Lleida Ieee Access 11, 14915-14927, 2023 | 24 | 2023 |
| Deep speech enhancement for reverberated and noisy signals using wide residual networks D Ribas, J Llombart, A Miguel, L Vicente arXiv preprint arXiv:1901.00660, 2019 | 22 | 2019 |
| Wiener filter and deep neural networks: A well-balanced pair for speech enhancement D Ribas, A Miguel, A Ortega, E Lleida Applied Sciences 12 (18), 9000, 2022 | 21 | 2022 |
| Full multicondition training for robust i-vector based speaker recognition D Ribas, E Vincent, JR Calvo Interspeech 2015, 2015 | 20 | 2015 |
| Knowledge distillation and random erasing data augmentation for text-dependent speaker verification V Mingote, A Miguel, D Ribas, A Ortega, E Lleida ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 19 | 2020 |
| Cross-corpus speech emotion recognition with HuBERT self-supervised representation MA Pastor, D Ribas, A Ortega, A Miguel, E Lleida IberSPEECH 2022, 76-80, 2022 | 15 | 2022 |
| Uncertainty propagation for noise robust speaker recognition: the case of NIST-SRE D Ribas, E Vincent, JR Calvo Interspeech 2015, 2015 | 14 | 2015 |
| Progressive loss functions for speech enhancement with deep neural networks J Llombart, D Ribas, A Miguel, L Vicente, A Ortega, E Lleida EURASIP Journal on Audio, Speech, and Music Processing 2021, 1-16, 2021 | 13 | 2021 |
| A Study of Speech Distortion Conditions in Real Scenarios for Speech Processing Applications D Ribas, E Vincent, JR Calvo Workshop on Spoken Language Technology, 2016 | 13 | 2016 |
| Speaker verification with shifted delta cepstral features: Its Pseudo-Prosodic Behaviour DR Gonzalez, JRC de Lara proc I Iberian SLTech, 2009 | 13 | 2009 |
| Phonetically-Aware Embeddings, Wide Residual Networks with Time-Delay Neural Networks and Self Attention Models for the 2018 NIST Speaker Recognition Evaluation. I Vińals, D Ribas, V Mingote, J Llombart, P Gimeno, A Miguel, ... Interspeech, 4310-4314, 2019 | 11 | 2019 |
| Cross-corpus training strategy for speech emotion recognition using self-supervised representations MA Pastor, D Ribas, A Ortega, A Miguel, E Lleida Applied Sciences 13 (16), 9062, 2023 | 9 | 2023 |
| Convolutional Recurrent Neural Networks for Speech Activity Detection in Naturalistic Audio from Apollo Missions. P Gimeno, D Ribas, AO Giménez, A Miguel, E Lleida IberSPEECH, 2021 | 9 | 2021 |
| An improved uncertainty propagation method for robust i-vector based speaker recognition D Ribas, E Vincent ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 8 | 2019 |
| Single channel speech enhancement based on zero phase transformation in reverberated environments DR González, SC Arias, JRC de Lara the Proceedings of REVERB Challenge, 2014 | 8 | 2014 |
| Suprasegmental information modelling for autism disorder spectrum and specific language impairment classification D Martínez, D Ribas, E Lleida, A Ortega, A Miguel Proc. INTERSPEECH-2013. Lyon, France, 195-199, 2013 | 8 | 2013 |
| Beam-search formant tracking algorithm based on trajectory functions for continuous speech JE García, D Ribas, A Miguel, E Lleida, JR Calvo Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2012 | 7* | 2012 |
| Progressive speech enhancement with residual connections J Llombart, D Ribas, A Miguel, L Vicente, A Ortega, E Lleida arXiv preprint arXiv:1904.04511, 2019 | 6 | 2019 |
| Speech enhancement with wide residual networks in reverberant environments J Llombart, D Ribas, A Miguel, L Vicente, A Ortega, E Lleida arXiv preprint arXiv:1904.05167, 2019 | 5 | 2019 |
Antonio Miguel ArtiagaUniversity of ZaragozaVerified email at unizar.es
