Ada Byron Building, María de Luna 1, 50018, Zaragoza, Spain

Contact Information


Victoria Mingote

Research Scientist

ViVoLab, University of Zaragoza


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.


16 registros « 1 de 4 »


Mingote, Victoria; Miguel, Antonio

Representation and Metric Learning Advances for Deep Neural Network Face and Speaker Biometric Systems Conferencia

Proceedings of XII Jornadas en Tecnología del Habla and VIII Iberian SLTech (Iberspeech), 2022.

Enlaces | BibTeX

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 Artículo de revista

En: IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 30, pp. 772-784, 2022.

Enlaces | BibTeX

Mingote, Victoria; Viñals, Ignacio; Gimeno, Pablo; Miguel, Antonio; Ortega, Alfonso; Lleida, Eduardo

Multimodal Diarization Systems by Training Enrollment Models as Identity Representations Artículo de revista

En: Applied Sciences, vol. 12, no. 3, pp. 1141, 2022.

Enlaces | BibTeX


Mingote, Victoria; Miguel, Antonio; Ortega, Alfonso; Lleida, Eduardo

Log-Likelihood-Ratio Cost Function as Objective Loss for Speaker Verification Systems Conferencia

Proceedings of the Annual Conference of the International Speech Communication Association (INTERSPEECH), vol. 2021-September, 2021.

Enlaces | BibTeX

Gimeno, Pablo; Mingote, Victoria; Ortega, Alfonso; Miguel, Antonio; Lleida, Eduardo

Generalising AUC Optimisation to Multiclass Classification for Audio Segmentation with Limited Training Data Artículo de revista

En: IEEE Signal Processing Letters, vol. 28, pp. 1135-1139, 2021.

Enlaces | BibTeX

16 registros « 1 de 4 »


  1. 2022

    PhD in Telecommunications Engineering

    University of Zaragoza
  2. 2016

    M.S. degree in Telecomunication Engineering

    University of Zaragoza
  3. 2014

    B.S. Engineering Technology and Telecommunication Services

    University of Zaragoza

Professional Experience

  1. 2017
    Researcher at VIVOLAB
    University of Zaragoza, Spain
  2. 2018
    Research Fellowship
    StarLab, SRI International, California, United States
  3. 2016
    Novel Researcher
    VIVOLAB. University of Zaragoza

Award & Prizes

  • 2018
    Best paper award
    Red Temática de Tecnologías del Habla, Iberspeech 2018
Ir arriba