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Alberto Bernardini

5 accepted papers

2025

A Zero-Shot Physics-Informed Dictionary Learning Approach for Sound Field Reconstruction

ICASSP 2025accepted

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 data availability or the explicit modeling of physical properties. To bridge these gaps, this study introduces a zero-s…

Cited by 0SourceScholar
2024

Reconstruction of Sound Field Through Diffusion Models

ICASSP 2024accepted

Reconstructing the sound field in a room is an important task for several applications, such as sound control and augmented (AR) or virtual reality (VR). In this paper, we propose a data-driven generative model for reconstructing the magnitude of acoustic fields in rooms with a focus on the modal fr…

Cited by 0SourceScholar
2023

Diffusion-Based Sound Source Localization Using Networks of Planar Microphone Arrays

ICASSP 2023accepted

In this work, we propose a novel approach for distributed 3D sound source localization and tracking based on networks of planar microphone arrays, each of which estimates a 2D Direction Of Arrival (DOA). The proposed method is computationally distributed and eliminates the need for a specialized nod…

Cited by 0SourceScholar
2021

Arrays of First-Order Steerable Differential Microphones

ICASSP 2021accepted

The literature is rich with techniques for the design of small-size Differential Microphone Arrays (DMAs), known for their almost frequency-invariant beampatterns and low computational cost. Few works, instead, discuss the properties of beamformers based on multiple DMA units. In this paper, we cons…

Cited by 0SourceScholar