VISION: Sounds will be rendered to the users at any location and any time, efficiently, with the help of low-cost devices, maximizing the user’s quality-of-experience.

OBJECTIVE: To investigate on sound space control applications in real and dynamic environments using inference and classification tools based on novel machine and deep learning techniques, aiming at maximum performance, energy efficiency and feasibility.

Grant PID2021-124280OB-C21 funded by MICIU/AEI/10.13039/501100011033 and ERDF, EU.

  Gema Piñero Sipán

Grupo de Tratamiento de Audio y Comunicaciones (GTAC)