Fabio Antonacci

assistant professor

Politecnico di Milano

Italy

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Fabio Antonacci is an assistant professor at Politecnico di Milano, Italy. His research areas include user experience in music technology, acoustic performance optimization, sound field analysis, and innovative audio processing techniques. Notable recent articles explore topics such as immersive acoustics for the metaverse, directional sound radiation in historical instruments, and advanced methods for sound source separation.

Articles (14)

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2025

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2025

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2025

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2025

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2024

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2024

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2024

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2024

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2023

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2022

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2022

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2021

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2021

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2020

Collaborators (5)

Mirco Pezzoli

Junior Assistant Professor

Politecnico di Milano

ITALY

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Julio José Carabias Orti

Associate Professor

Universidad de Jaén

SPAIN

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Maximo Cobos

Full Professor

University of Valencia

SPAIN

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Andrea Marotta

Assistant Professor

University of L'Aquila

ITALY

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Carlo Centofanti

Assistant Professor

University of L'Aquila

ITALY

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Fabio Antonacci

Research Interests

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About

Articles (14)

Immersive Acoustics via Next-Generation Networks: Achieving High-Fidelity Audio in the Metaverse

PAGURI: A User Experience Study of Creative Interaction with Text-to-Music Models

Improving the Acoustics of the Church of Saints Marcellino and Pietro in Cremona (Italy) for Musical Performances

Influence of thickness profile and bracing pattern in the radiation patterns of archtop guitars

Spherical-harmonics-based sound field decomposition and multichannel NMF for sound source separation

A Compressive Sensing Approach for the Reconstruction of the Soundfield Produced by Directive Sources in Reverberant Rooms

Acoustic Imaging With Circular Microphone Array: A New Approach for Sound Field Analysis

Deep Prior-Based Audio Inpainting Using Multi-Resolution Harmonic Convolutional Neural Networks

A neural network-based method for spruce tonewood characterization

Deep Prior Approach for Room Impulse Response Reconstruction

A comparative analysis of the directional sound radiation of historical violins

Ray-Space-Based Multichannel Nonnegative Matrix Factorization for Audio Source Separation

A Physics-Informed Neural Network Approach for Nearfield Acoustic Holography

Open Set Audio Classification Using Autoencoders Trained on Few Data

Collaborators (5)

Mirco Pezzoli

Julio José Carabias Orti

Maximo Cobos

Andrea Marotta

Carlo Centofanti

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