Sergio Álvarez Balanya has been recently selected for a summer internship at Amazon, Barcelona, Spain. He will be starting the internship in June and returning to Madrid in December.
Beltrán Labrador Serrano has been recently selected for a summer internship at the Speech Processing group of Google Research in New York, USA. He will be starting the internship in May and returning to Madrid in September.
Diego de Benito Gorrón has been doing a research stay at the prestigious Speech@FIT group of Brno University of Technology (BUT) in the Czech Republic from September 2021 to December 2021. He has been doing research in acoustic source separation… Read More
Alicia has made a postdoctoral research stay funded by the European Union under program H2020 Marie Slodowska-Curie Individual Fellowship. The project “Robust End-To-End SPEAKER recognition based on deep learning and attention models” (ETE SPEAKER, 843627) she has developed between 2019… Read More
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 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 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 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
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.
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.