Speaker: Daniel Ramos Castro Abstract: In this talk, we will present the article Nixon et al. 2020, “Measuring Calibration in Deep Learning”, published in CVPR Workshops 2020. In this paper, the current most popular measure of calibration for deep learning,… Read More
Beltrán Labrador has been awarded a FPI PhD Grant from the Spanish Ministry of Education
Beltran Labrador has been selected as a Pre-doctoral fellow by the Spanish Ministry of Education (FPI PhD Grant), to work with AUDIAS towards his PhD degree.
AUDIAS is organizing ALBAYZIN Search-on-Speech 2020
The AUDIAS research group is organizing the fifth ALBAYZIN Search-on-Speech challenge in collaboration with University CEU San Pablo. The challenge will take place in the context of the next IberSPEECH conference.
Beltrán returns from BUT
Beltrán Labrador has returned on Feb. 7th 2020 from his short stay in Brno University of Technology. He has been conducting research on semi-supervised end-to-end ASR training.
Juan Maroñas in Alan Turin Institute, London, UK
Juan Maroñas did a research stay in the Alan Turing Institute, London, Uk from February to May 2020. He worked in machine learning with deep Gaussian processes.
Alicia was granted a H2020 Marie Curie
Alicia Lozano Diez was awarded with a H2020 Marie Slodowska Curie Grant from the EU Comission for the project “Robust End-To-End SPEAKER recognition based on deep learning and attention models” to do a post-doc stay at the Speech@FIT Group of… Read More
Beltrán Labrador starts a research stay at the Speech@FIT Group in BUT
Beltran Labrador-Serrano starts a research stay at the Speech@FIT Group in Brno University of Technology, for three months, to work on deep learning approaches for speech recognition.
Pablo Ramirez-Hereza joins AUDIAS as a PhD Student
Pablo Ramirez-Hereza has joined AUDIAS as a PhD Student.
Juan Maroñas in University of Modena and Reggio Emilia, Italy
Juan Maroñas did a research stay in the University of Modena and Reggio Emilia, Italy from. He worked in deep learning approaches for image classification in medical applications.
Daniel Ramos visits the Machine Learning Group at the University of Cambridge
Daniel Ramos visited the Machine Learning Group at the University of Cambridge for a research stay from January to May 2019 funded by the Spanish Ministry of Education, to work on probabilistic approaches to likelihood ratio computation in forensic glass… Read More