Unsupervised Domain Adaptation for Acoustic Scene Classification Using Band-Wise Statistics Matching. - Alessandro Ilic Mezza; Emanuël Anco Peter Habets; Meinard Müller; Augusto Sarti (EUSIPCO, 2020)

A Deep Learning Approach for Low-Latency Packet Loss Concealment of Audio Signals in Networked Music Performance Applications. - Prateek Verma; Alessandro Ilic Mezza; Chris Chafe; Cristina Rottondi (FRUCT, 2020)

Feature Projection-Based Unsupervised Domain Adaptation for Acoustic Scene Classification. - Alessandro Ilic Mezza; Emanuël A. P. Habets; Meinard Müller; Augusto Sarti (MLSP, 2020)

Unsupervised Domain Adaptation via Principal Subspace Projection for Acoustic Scene Classification. - Alessandro Ilic Mezza; Emanuël A. P. Habets; Meinard Müller; Augusto Sarti (J. Signal Process. Syst., 2022)

Automatic TV Genre Classification Based on Visually-Conditioned Deep Audio Features. - Alessandro Ilic Mezza; Paolo Sani; Augusto Sarti (EUSIPCO, 2023)

Zero-Shot Anomalous Sound Detection in Domestic Environments Using Large-Scale Pretrained Audio Pattern Recognition Models. - Alessandro Ilic Mezza; Giulio Zanetti; Maximo Cobos; Fabio Antonacci (ICASSP, 2023)

Data-Driven Parameter Estimation of Lumped-Element Models via Automatic Differentiation. - Alessandro Ilic Mezza; Riccardo Giampiccolo; Alberto Bernardini (IEEE Access, 2023)

Virtual Bass Enhancement via Music Demixing. - Riccardo Giampiccolo; Alessandro Ilic Mezza; Alberto Bernardini; Augusto Sarti (IEEE Signal Process. Lett., 2023)

StemGMD: A Large-Scale Audio Dataset of Isolated Drum Stems for Deep Drums Demixing - part 1. - Alessandro Ilic Mezza; Riccardo Giampiccolo; Alberto Bernardini; Augusto Sarti (Zenodo, 2023)

StemGMD: A Large-Scale Audio Dataset of Isolated Drum Stems for Deep Drums Demixing - part 2. - Alessandro Ilic Mezza; Riccardo Giampiccolo; Alberto Bernardini; Augusto Sarti (Zenodo, 2023)

ITTV - A Dataset of Italian Television for Automatic Genre Classification. - Paolo Sani; Alessandro Ilic Mezza; Augusto Sarti (Zenodo, 2023)

Deep learning-based wave digital modeling of rate-dependent hysteretic nonlinearities for virtual analog applications. - Oliviero Massi; Alessandro Ilic Mezza; Riccardo Giampiccolo; Alberto Bernardini (EURASIP J. Audio Speech Music. Process., 2023)

A latent rhythm complexity model for attribute-controlled drum pattern generation. - Alessandro Ilic Mezza; Massimiliano Zanoni; Augusto Sarti (EURASIP J. Audio Speech Music. Process., 2023)

Large-Scale Room Impulse Response Dataset Compression with Neural Audio Codecs. - Alessandro Ilic Mezza; Alberto Bernardini; Fabio Antonacci (IS2, 2024)

Benchmarking Music Demixing Models for Deep Drum Source Separation. - Alessandro Ilic Mezza; Riccardo Giampiccolo; Alberto Bernardini; Augusto Sarti (IS2, 2024)

The IEEE-IS2 2024 Music Packet Loss Concealment Challenge. - Alessandro Ilic Mezza; Alberto Bernardini (CoRR, 2024)

Toward deep drum source separation. - Alessandro Ilic Mezza; Riccardo Giampiccolo; Alberto Bernardini; Augusto Sarti (Pattern Recognit. Lett., 2024)

Data-driven room acoustic modeling via differentiable feedback delay networks with learnable delay lines. - Alessandro Ilic Mezza; Riccardo Giampiccolo; Enzo De Sena; Alberto Bernardini (EURASIP J. Audio Speech Music. Process., 2024)

Leveraging Mixture of Experts for Improved Speech Deepfake Detection. - Viola Negroni; Davide Salvi; Alessandro Ilic Mezza; Paolo Bestagini; Stefano Tubaro (ICASSP, 2025)