3 papers
cs.SD2025
Comparative Study of State-based Neural Networks for Virtual Analog Audio Effects Modeling
Riccardo Simionato, Stefano Fasciani
Artificial neural networks are a promising technique for virtual analog modeling, having shown particular success in emulating distortion circuits. Despite their potential, enhance…
cs.SD2025
Sines, Transient, Noise Neural Modeling of Piano Notes
Riccardo Simionato, Stefano Fasciani
This paper introduces a novel method for emulating piano sounds. We propose to exploit the sines, transient, and noise decomposition to design a differentiable spectral modeling sy…
cs.SD2025
Modeling Time-Variant Responses of Optical Compressors with Selective State Space Models
Riccardo Simionato, Stefano Fasciani
This paper presents a method for modeling optical dynamic range compressors using deep neural networks with Selective State Space models. The proposed approach surpasses previous m…