Alessandro Ilic Mezza

According to our database, Alessandro Ilic Mezza authored at least 11 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., December, 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., December, 2023

Virtual Bass Enhancement via Music Demixing.

Riccardo Giampiccolo, Alessandro Ilic Mezza, Alberto Bernardini, Augusto Sarti

IEEE Signal Process. Lett., 2023

Toward Deep Drum Source Separation.

Alessandro Ilic Mezza, Riccardo Giampiccolo, Alberto Bernardini, Augusto Sarti

CoRR, 2023

Data-Driven Parameter Estimation of Lumped-Element Models via Automatic Differentiation.

Alessandro Ilic Mezza, Riccardo Giampiccolo, Alberto Bernardini

IEEE Access, 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

Proceedings of the IEEE International Conference on Acoustics, 2023

Automatic TV Genre Classification Based on Visually-Conditioned Deep Audio Features.

Alessandro Ilic Mezza, Paolo Sani, Augusto Sarti

Proceedings of the 31st European Signal Processing Conference, 2023

2022

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

2020

Feature Projection-Based Unsupervised Domain Adaptation for Acoustic Scene Classification.

Alessandro Ilic Mezza, Emanuël A. P. Habets, Meinard Müller, Augusto Sarti

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 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

Proceedings of the 27th Conference of Open Innovations Association, 2020

Unsupervised Domain Adaptation for Acoustic Scene Classification Using Band-Wise Statistics Matching.

Alessandro Ilic Mezza, Emanuël Anco Peter Habets, Meinard Müller, Augusto Sarti

Proceedings of the 28th European Signal Processing Conference, 2020