Email: amiguel@unizar.es
Address: Ada Byron Building, María de Luna 1, 50018, Zaragoza, Spain
Senior Lecturer & Research Fellow
ViVoLab, Aragón Institute for Engineering Research (I3A)
University of Zaragoza, Spain
ABOUT ME
Antonio Miguel was born in Zaragoza, Spain. He received the M.Sc. degree in telecommunication engineering and the Ph.D. degree from the University of Zaragoza (UZ), Zaragoza, Spain, in 2001 and 2008, respectively. From 2000 to 2006, he was with the Communication Technologies Group, Department of Electronic Engineering and Communications, UZ, under a research grant. Since 2006, he has been an Associate Professor in the Department of Electronic Engineering and Communications, UZ. His current research interests include acoustic modeling for speech and speaker recognition.
PUBLICATIONS
2021
Llombart, Jorge; Ribas, Dayana; Miguel, Antonio; Vicente, Luis; Ortega, Alfonso; Lleida, Eduardo
Progressive Loss Functions for Speech Enhancement with Deep Neural Networks Artículo de revista
En: EURASIP Journal on Audio, Speech, and Music Processing, vol. 2021, no 1, pp. 1-16, 2021.
@article{Llombart2021,
title = {Progressive Loss Functions for Speech Enhancement with Deep Neural Networks},
author = {Jorge Llombart and Dayana Ribas and Antonio Miguel and Luis Vicente and Alfonso Ortega and Eduardo Lleida},
doi = {10.1186/s13636-020-00191-3},
year = {2021},
date = {2021-01-01},
journal = {EURASIP Journal on Audio, Speech, and Music Processing},
volume = {2021},
number = {1},
pages = {1-16},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2020
Gimeno, Pablo; Mingote, Victoria; Ortega, Alfonso; Miguel, Antonio; Lleida, Eduardo
Partial AUC Optimisation Using Recurrent Neural Networks for Music Detection with Limited Training Data Conferencia
Proceedings of the Annual Conference of the International Speech Communication Association (INTERSPEECH), vol. 2020-October, 2020.
@conference{Gimeno2020pauc,
title = {Partial AUC Optimisation Using Recurrent Neural Networks for Music Detection with Limited Training Data},
author = {Pablo Gimeno and Victoria Mingote and Alfonso Ortega and Antonio Miguel and Eduardo Lleida},
doi = {10.21437/Interspeech.2020-1108},
year = {2020},
date = {2020-10-01},
booktitle = {Proceedings of the Annual Conference of the International Speech Communication Association (INTERSPEECH)},
volume = {2020-October},
pages = {3067--3071},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Mingote, Victoria; Miguel, Antonio; Ortega, Alfonso; Lleida, Eduardo
Training Speaker Enrollment Models by Network Optimization Conferencia
Proceedings of the Annual Conference of the International Speech Communication Association (INTERSPEECH), vol. 2020-October, 2020.
@conference{Mingote2020enrollment,
title = {Training Speaker Enrollment Models by Network Optimization},
author = {Victoria Mingote and Antonio Miguel and Alfonso Ortega and Eduardo Lleida},
doi = {10.21437/Interspeech.2020-2325},
year = {2020},
date = {2020-10-01},
booktitle = {Proceedings of the Annual Conference of the International Speech Communication Association (INTERSPEECH)},
volume = {2020-October},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Mingote, Victoria; Miguel, Antonio; Ortega, Alfonso; Lleida, Eduardo
Optimization of the area under the ROC curve using neural network supervectors for text-dependent speaker verification Artículo de revista
En: Computer Speech & Language, vol. 63, pp. 101078, 2020.
@article{Mingote2020optimization,
title = {Optimization of the area under the ROC curve using neural network supervectors for text-dependent speaker verification},
author = {Victoria Mingote and Antonio Miguel and Alfonso Ortega and Eduardo Lleida},
doi = {10.1016/j.csl.2020.101078},
year = {2020},
date = {2020-09-01},
journal = {Computer Speech & Language},
volume = {63},
pages = {101078},
publisher = {Elsevier BV},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Mingote, Victoria; Miguel, Antonio; Ribas, Dayana; Ortega, Alfonso; Lleida, Eduardo
Knowledge Distillation and Random Erasing Data Augmentation for Text-Dependent Speaker Verification Conferencia
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), vol. 2020-May, 2020.
@conference{Mingote2020distillation,
title = {Knowledge Distillation and Random Erasing Data Augmentation for Text-Dependent Speaker Verification},
author = {Victoria Mingote and Antonio Miguel and Dayana Ribas and Alfonso Ortega and Eduardo Lleida},
doi = {10.1109/ICASSP40776.2020.9053153},
year = {2020},
date = {2020-05-01},
booktitle = {Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
volume = {2020-May},
pages = {6824-6828},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}