4 papers
From General-Purpose Audio Tagging to Spatially Grounded Sound Event Localization and Detection
Stefano Giacomelli, Stefano Damiano, Claudia Rinaldi +2
This report investigates the extension of pretrained General-Purpose Audio Tagging (GP-AT) models toward spatially grounded Sound Event Localization and Detection (SELD). The propo…
The trajectoRIR Database: Room Acoustic Recordings Along a Trajectory of Moving Microphones
Stefano Damiano, Kathleen MacWilliam, Valerio Lorenzoni +2
Data availability is essential in the development of acoustic signal processing algorithms, especially when it comes to data-driven approaches that demand large and diverse trainin…
Sound Field Reconstruction Using Physics-Informed Boundary Integral Networks
Stefano Damiano, Toon van Waterschoot
Sound field reconstruction refers to the problem of estimating the acoustic pressure field over an arbitrary region of space, using only a limited set of measurements. Physics-info…
A Zero-Shot Physics-Informed Dictionary Learning Approach for Sound Field Reconstruction
Stefano Damiano, Federico Miotello, Mirco Pezzoli +4
Sound field reconstruction aims to estimate pressure fields in areas lacking direct measurements. Existing techniques often rely on strong assumptions or face challenges related to…