8 citations · 14 across the 2 of their papers we have counts for
2 papers
eess.AS2024★ 8 cited
Data-Driven Room Acoustic Modeling Via Differentiable Feedback Delay Networks With Learnable Delay Lines
Alessandro Ilic Mezza, Riccardo Giampiccolo, Enzo De Sena +1
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.…
eess.AS2023★ 6 cited
Toward Deep Drum Source Separation
Alessandro Ilic Mezza, Riccardo Giampiccolo, Alberto Bernardini +1
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 ha…