Researcher Gema Piñero and her team from the Audio and Communications Signal Processing Group (GTAC) at iTEAM have performed a campaign onf acoustic measurements in two classrooms at the ETSIT-UPV.
This research, part of the DYNAMIC project, aims to develop advanced models to create dynamic, personalized sound zones capable of following people as they move around the room. Equipment used:
- Linear array of 8 JBL loudspeakers
- Square array of 4×4 Brüel&Kjaer precision microphones, used to capture acoustic responses with high fidelity
- Neumann KU-100 dummy head, simulating human hearing with binaural microphones placed in positions analogous to the human auditory system
- Brüel&Kjaer binaural microphone, designed to be worn by a person to capture sound as perceived by the user. For these measurements, a camera was used to automatically track the listener’s position in the room.
Measurements were conducted in 21×21 cm zones, forming trajectories. This new dataset will enable research into how to estimate acoustic responses of new rooms using deep learning. Next steps:
- Publish the generated database in open repositories such as ZENODO and GitHub.
- Include images captured by the camera and the necessary code to manage the data.
This work is part of the project “Characterization of dynamic acoustic environments using machine learning – DYNAMIC”, funded by the Spanish Research Agency (MICIU/AEI and FEDER/EU).