Email: vmingote@unizar.es
Address: Ada Byron Building, María de Luna 1, 50018, Zaragoza, Spain
Research Scientist
ViVoLab, University of Zaragoza
ABOUT ME
Victoria Mingote was born in Zaragoza, Spain. She received the Bachelor’s and Master’s degree in Telecommunication Engineering from the University of Zaragoza, Spain, in 2014 and 2016, respectively. After that, she joined ViVoLab research group as a Ph.D student. She received the Ph.D. degree in 2022 from the University of Zaragoza. She has achieved several publications of her work in different international journals and conference proceedings. Her research interests expands through the areas of signal processing, machine learning, multimodal verification and identification (voice and face), and language identification.
PUBLICATIONS
2023
Mingote, Victoria; Gimeno, Pablo; Vicente, Luis; Khurana, Sameer; Laurent, Antoine; Duret, Jarod
Direct Text to Speech Translation System Using Acoustic Units Journal Article
In: IEEE Signal Processing Letters, vol. 30, pp. 1262-1266, 2023.
@article{Mingote2023Units,
title = {Direct Text to Speech Translation System Using Acoustic Units},
author = {Victoria Mingote and Pablo Gimeno and Luis Vicente and Sameer Khurana and Antoine Laurent and Jarod Duret},
doi = {10.1109/LSP.2023.3313513},
year = {2023},
date = {2023-09-14},
journal = {IEEE Signal Processing Letters},
volume = {30},
pages = {1262-1266},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Mingote, Victoria; Miguel, Antonio; Ortega, Alfonso; Lleida, Eduardo
Class token and knowledge distillation for multi-head self-attention speaker verification systems Journal Article
In: Digital Signal Processing, vol. 133, pp. 103859, 2023.
@article{nokey,
title = {Class token and knowledge distillation for multi-head self-attention speaker verification systems},
author = {Victoria Mingote and Antonio Miguel and Alfonso Ortega and Eduardo Lleida},
doi = {10.1016/j.dsp.2022.103859},
year = {2023},
date = {2023-03-01},
urldate = {2022-12-01},
journal = {Digital Signal Processing},
volume = {133},
pages = {103859},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2022
Mingote, Victoria; Miguel, Antonio
Proceedings of XII Jornadas en Tecnología del Habla and VIII Iberian SLTech (Iberspeech), 2022.
@conference{Mingote2022c,
title = {Representation and Metric Learning Advances for Deep Neural Network Face and Speaker Biometric Systems},
author = {Victoria Mingote and Antonio Miguel},
doi = {10.21437/IberSPEECH.2022-43},
year = {2022},
date = {2022-11-14},
urldate = {2022-11-14},
booktitle = {Proceedings of XII Jornadas en Tecnología del Habla and VIII Iberian SLTech (Iberspeech)},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Mingote, Victoria; Miguel, Antonio; Ribas, Dayana; Ortega, Alfonso; Lleida, Eduardo
aDCF Loss Function for Deep Metric Learning in End-to-End Text-Dependent Speaker Verification Systems Journal Article
In: IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 30, pp. 772-784, 2022.
@article{Mingote2022b,
title = {aDCF Loss Function for Deep Metric Learning in End-to-End Text-Dependent Speaker Verification Systems},
author = {Victoria Mingote and Antonio Miguel and Dayana Ribas and Alfonso Ortega and Eduardo Lleida},
doi = {10.1109/TASLP.2022.3145307},
year = {2022},
date = {2022-01-25},
urldate = {2022-01-25},
journal = {IEEE/ACM Transactions on Audio, Speech, and Language Processing},
volume = {30},
pages = {772-784},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Mingote, Victoria; Viñals, Ignacio; Gimeno, Pablo; Miguel, Antonio; Ortega, Alfonso; Lleida, Eduardo
Multimodal Diarization Systems by Training Enrollment Models as Identity Representations Journal Article
In: Applied Sciences, vol. 12, no. 3, pp. 1141, 2022.
@article{Mingote2022,
title = {Multimodal Diarization Systems by Training Enrollment Models as Identity Representations},
author = {Victoria Mingote and Ignacio Viñals and Pablo Gimeno and Antonio Miguel and Alfonso Ortega and Eduardo Lleida},
doi = {10.3390/app12031141},
year = {2022},
date = {2022-01-21},
urldate = {2022-01-21},
journal = {Applied Sciences},
volume = {12},
number = {3},
pages = {1141},
keywords = {},
pubstate = {published},
tppubtype = {article}
}