3 papers
cs.SD2024
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.SD2024
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…
cs.SD2024
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…