Search Results for author: Riccardo Giampiccolo

Found 2 papers, 1 papers with code

Data-Driven Room Acoustic Modeling Via Differentiable Feedback Delay Networks With Learnable Delay Lines

no code implementations29 Mar 2024 Alessandro Ilic Mezza, Riccardo Giampiccolo, Enzo De Sena, Alberto Bernardini

Over the past few decades, extensive research has been devoted to the design of artificial reverberation algorithms aimed at emulating the room acoustics of physical environments.

Toward Deep Drum Source Separation

1 code implementation15 Dec 2023 Alessandro Ilic Mezza, Riccardo Giampiccolo, Alberto Bernardini, Augusto Sarti

In the past, the field of drum source separation faced significant challenges due to limited data availability, hindering the adoption of cutting-edge deep learning methods that have found success in other related audio applications.

Cannot find the paper you are looking for? You can Submit a new open access paper.