Victoria Mingote
Research Scientist
ViVoLab, University of Zaragoza
Biography
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
2022
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.
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.
Multimodal Diarization Systems by Training Enrollment Models as Identity Representations Artículo de revista
En: Applied Sciences, vol. 12, no. 3, pp. 1141, 2022.
2021
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.
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.
