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Augusto Sarti

22 accepted papers

2025

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

Stefano Damiano, Federico Miotello, Mirco Pezzoli, Alberto Bernardini, Fabio Antonacci, Augusto Sarti +1
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…

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2024

Reconstruction of Sound Field Through Diffusion Models

Federico Miotello, Luca Comanducci, Mirco Pezzoli, Alberto Bernardini, Fabio Antonacci, Augusto Sarti
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…

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2023

Acoustic Source Localization in the Spherical Harmonics Domain Exploiting Low-Rank Approximations

Maximo Cobos, Mirco Pezzoli, Fabio Antonacci, Augusto Sarti
ICASSP 2023accepted

Acoustic signal processing in the spherical harmonics domain (SHD) is an active research area that exploits the signals acquired by higher order microphone arrays. A very important task is that concerning the localization of active sound sources. In this paper, we propose a simple yet effective meth…

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2023

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

Davide Albertini, Gioele Greco, Alberto Bernardini, Augusto Sarti
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…

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2023

Grad-CAM-Inspired Interpretation of Nearfield Acoustic Holography using Physics-Informed Explainable Neural Network

Hagar Kafri, Marco Olivieri, Fabio Antonacci, Mordehay Moradi, Augusto Sarti, Sharon Gannot
ICASSP 2023accepted

The interpretation and explanation of decision-making processes of neural networks are becoming a key factor in the deep learning field. Although several approaches have been presented for classification problems, the application to regression models needs to be further investigated. In this manuscr…

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2023

Real-Time Multichannel Speech Separation and Enhancement Using a Beamspace-Domain-Based Lightweight CNN

Marco Olivieri, Luca Comanducci, Mirco Pezzoli, Davide Balsarri, Luca Menescardi, Michele Buccoli +4
ICASSP 2023accepted

The problems of speech separation and enhancement concern the extraction of the speech emitted by a target speaker when placed in a scenario where multiple interfering speakers or noise are present, respectively. A plethora of practical applications such as home assistants and teleconferencing requi…

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2022

A Data-Driven Approach for Acoustic Parameter Similarity Estimation of Speech Recording

Mattia Papa, Clara Borrelli, Paolo Bestagini, Fabio Antonacci, Augusto Sarti, Stefano Tubaro
ICASSP 2022accepted

Speech audio acquisitions exhibit different quality and reverberation properties depending on the recording setup and environment. For this reason, it is expected that speech analysis systems that work correctly on certain audio recordings may fail on others acquired in different acoustic contexts.…

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2022

Deepfake Speech Detection Through Emotion Recognition: A Semantic Approach

Emanuele Conti, Davide Salvi, Clara Borrelli, Brian C. Hosler, Paolo Bestagini, Fabio Antonacci +3
ICASSP 2022accepted

In recent years, audio and video deepfake technology has advanced relentlessly, severely impacting people’s reputation and reliability. Several factors have facilitated the growing deepfake threat. On the one hand, the hyper-connected society of social and mass media enables the spread of multimedia…

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2022

On the Prediction of the Frequency Response of a Wooden Plate from Its Mechanical Parameters

David Giuseppe Badiane, Raffaele Malvermi, Sebastian Gonzalez, Fabio Antonacci, Augusto Sarti
ICASSP 2022accepted

Inspired by deep learning applications in structural mechanics, we focus on how to train two predictors to model the relation between the vibrational response of a prescribed point of a wooden plate and its material properties. In particular, the eigenfrequencies of the plate are estimated via multi…

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2022

Sparsity-Based Sound Field Separation in the Spherical Harmonics Domain

Mirco Pezzoli, Maximo Cobos, Fabio Antonacci, Augusto Sarti
ICASSP 2022accepted

Sound field analysis and reconstruction has been a topic of intense research in the last decades for its multiple applications in spatial audio processing tasks. In this context, the identification of the direct and reverberant sound field components is a problem of great interest, where several sol…

Cited by 27Source ↗Scholar ↗
2021

Arrays of First-Order Steerable Differential Microphones

Federico Borra, Alberto Bernardini, Ivan Bertuletti, Fabio Antonacci, Augusto Sarti
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…

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2021

Interpolation of Irregularly Sampled Frequency Response Functions Using Convolutional Neural Networks

Matteo Acerbi, Raffaele Malvermi, Mirco Pezzoli, Fabio Antonacci, Augusto Sarti, Roberto Corradi
ICASSP 2021accepted

In the field of structural mechanics, classical methods for the vibrational characterization of objects exploit the inherent redundancy of a relevant amount of measurements acquired over regular sampling grids. However, there are cases in which parts of the objects under analysis are not accessible…

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2020

Time Difference of Arrival Estimation from Frequency-Sliding Generalized Cross-Correlations Using Convolutional Neural Networks

Luca Comanducci, Maximo Cobos, Fabio Antonacci, Augusto Sarti
ICASSP 2020accepted

The interest in deep learning methods for solving traditional signal processing tasks has been steadily growing in the last years. Time delay estimation (TDE) in adverse scenarios is a challenging problem, where classical approaches based on generalized cross-correlations (GCCs) have been widely use…

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2018

A Weighted Least Squares Beam Shaping Technique for Sound Field Control

Antonio Canclini, Dejan Markovic, Martin Schneider, Fabio Antonacci, Emanuël Anco Peter Habets, Andreas Walther +1
ICASSP 2018accepted

A weighted least squares beam shaping technique for sound field control using a loudspeaker array is proposed. Given a desired spatial response at prescribed control points, the space-time filter is designed by solving a least squares minimization problem. To reduce the computational effort, we prop…

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2018

Considerations Regarding Individualization of Head-Related Transfer Functions

Craig T. Jin, Reza Zolfaghari, Xian Long, Arun Sebastian, Shayikh Hossain, Joan Alexis Glaunès +3
ICASSP 2018accepted

This paper provides some considerations regarding using individualized head-related transfer functions for rendering binaural spatial audio over headphones. It briefly considers the degree of benefit that individualization may provide. It then examines the degree of variation existing within the ear…

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2018

Estimation of the Sound Field at Arbitrary Positions in Distributed Microphone Networks Based on Distributed Ray Space Transform

Mirco Pezzoli, Federico Borra, Fabio Antonacci, Augusto Sarti, Stefano Tubaro
ICASSP 2018accepted

In this paper we propose a parametric sound field reconstruction approach. In particular, the technique is based on the estimation of three parameters for each acoustic source (source position, radiation pattern and source signal) given the signals acquired by few arbitrarily placed microphone array…

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2017

Dictionary-based Equivalent Source Method for Near-Field Acoustic Holography

Antonio Canclini, Massimo Varini, Fabio Antonacci, Augusto Sarti
ICASSP 2017accepted

In this paper, we propose a modification of the standard Equivalent Source Method (ESM) for Near-Field Acoustic Holography (NAH). As in EMS, we aim at modeling the acoustic pressure radiated from a vibrating object, and its surface velocity, as the joint effect of a set of equivalent sources located…

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2016

A linear operator for the computation of soundfield maps

Lucio Bianchi, V. Baldini Anastasio, Dejan Markovic, Fabio Antonacci, Augusto Sarti, Stefano Tubaro
ICASSP 2016accepted

In the process of soundfield imaging, as defined in the literature, a microphone array is subdivided into overlapping sub-arrays and soundfield images are obtained by juxtaposition of spatial spectra computed from individual subarray data. In this paper we show that the whole process can be convenie…

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2016

A low-cost solution to 3D pinna modeling for HRTF prediction

Luca Bonacina, Antonio Canclini, Fabio Antonacci, Marco Marcon, Augusto Sarti, Stefano Tubaro
ICASSP 2016accepted

We propose an infrared (IR) stereo-vision system for estimating the 3D model of the pinna, based on low-cost devices. A commercial IR calibrated stereo camera is used in conjunction with a structured IR light projector, to acquire highly textured snapshots of the pinna. A point cloud is computed for…

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2015

A Dimensional Contextual Semantic Model for music description and retrieval

Michele Buccoli, Alessandro Gallo, Massimiliano Zanoni, Augusto Sarti, Stefano Tubaro
ICASSP 2015accepted

Several paradigms for high-level music descriptions have been proposed to develop effective system for browsing and retrieving musical content in large repositories. Such paradigms are based on either categorical or dimensional models. The interest in dimensional models has recently grown a great de…

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