Francesc Alías Pujol

Full Professor of Speech and Acoustic Signal Processing, Department of Engineering
Coordinator of the PhD Programme in Information Technologies and their application to Management, Architecture and Geophysics, La Salle and the Ebro Observatory
La Salle Campus Barcelona – Universitat Ramon Llull
Academic background
- PhD in Electronic Engineering, La Salle – Universitat Ramon Llull (Spain), 2006
- University Expert in Digital Transformation, La Salle – Universitat Ramon Llull (Spain), 2023
- MBA, La Salle – Universitat Ramon Llull (Spain), 2013
- Degree in Electronic Engineering (Image and Sound specialization), La Salle – Universitat Ramon Llull (Spain), 1999
- Technical Engineering in Telecommunications (Image and Sound specialization), La Salle – Universitat Ramon Llull (Spain), 1997
Teaching Activity
Full-time professor at La Salle Campus Barcelona – Universitat Ramon Llull, teaching since 2004 in the fields of mathematics and audio and speech processing.
Research and Tech transfer activity
Researcher in the Speech Processing line of the Human–Environment Research Group. His research interests focus on signal processing, particularly speech and acoustic signal processing, with the aim of enabling natural interaction between humans, machines and their environment.
He served as Director of the Human–Computer Interaction Area (2011–2014) and Coordinator of the Research Group on Media Technologies (2014–2021). He has participated in more than 55 national and European R&D&I projects, acting as principal investigator in 20 of them. He is the author of over 170 scientific publications.
Additional Information
- Director of Teaching and Research Staff Policies (2019 – Present)
- Head of the Department of Engineering (2014–2021)
- Predoctoral Fellow of the Department of Universities, Research and Information Society (DURSI) of the Government of Catalonia (2000–2003)
- Personal website: http://users.salleurl.edu/~francesc.alias
Projects
DYNAMAP is a LIFE+ project aimed at developing a dynamic noise mapping system able to detect and represent in real time the acoustic impa...
In this project, we aim at the computational generation of expressive voice by following a hybrid approach. We will skip the inherent lim...