Project

Characterization of Dynamic Acoustic Environments by Machine Learning for Sound Reproduction (DYNAMIC)

Date

2022 - 2025

Acknowledgements

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.

 

 

Partner

AGENCIA ESTATAL DE INVESTIGACION (National Research Agency)

Principal investigator

  Gema Piñero Sipán

Research Areas

Signal Processing

Research Group

Audio and Communications Signal Processing Group (GTAC)

Budget

60.000€