Victoria Mingote
Ph.D. Student
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. From 2017 to the present, she is involved in her PhD work. 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
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.
ViVoLAB Multimodal Diarization System for RTVE 2020 Challenge Conferencia
Proceedings of XI Jornadas en Tecnología del Habla and VII Iberian SLTech (Iberspeech), vol. 2021-March, 2021.
