3 papers
eess.AS2021
Deep Optimization of Parametric IIR Filters for Audio Equalization
Giovanni Pepe, Leonardo Gabrielli, Stefano Squartini +2
This paper describes a novel Deep Learning method for the design of IIR parametric filters for automatic audio equalization. A simple and effective neural architecture, named BiasN…
eess.AS2018
Polyphonic Sound Event Detection by using Capsule Neural Networks
Fabio Vesperini, Leonardo Gabrielli, Emanuele Principi +1
Artificial sound event detection (SED) has the aim to mimic the human ability to perceive and understand what is happening in the surroundings. Nowadays, Deep Learning offers valua…
cs.SD2018
A Multi-Stage Algorithm for Acoustic Physical Model Parameters Estimation
Leonardo Gabrielli, Stefano Tomassetti, Stefano Squartini +2
One of the challenges in computational acoustics is the identification of models that can simulate and predict the physical behavior of a system generating an acoustic signal. When…