65 citations · 174 across the 16 of their papers we have counts for
16 papers
Timbre transfer using image-to-image denoising diffusion implicit models
Luca Comanducci, Fabio Antonacci, Augusto Sarti
Timbre transfer techniques aim at converting the sound of a musical piece generated by one instrument into the same one as if it was played by another instrument, while maintaining…
Implicit neural representation with physics-informed neural networks for the reconstruction of the early part of room impulse responses
Mirco Pezzoli, Fabio Antonacci, Augusto Sarti
Recently deep learning and machine learning approaches have been widely employed for various applications in acoustics. Nonetheless, in the area of sound field processing and recon…
Acoustic source localization in the spherical harmonics domain exploiting low-rank approximations
Maximo Cobos, Mirco Pezzoli, Fabio Antonacci +1
Acoustic signal processing in the spherical harmonics domain (SHD) is an active research area that exploits the signals acquired by higher order microphone arrays. A very important…
Synthesis of Soundfields through Irregular Loudspeaker Arrays Based on Convolutional Neural Networks
Luca Comanducci, Fabio Antonacci, Augusto Sarti
Most soundfield synthesis approaches deal with extensive and regular loudspeaker arrays, which are often not suitable for home audio systems, due to physical space constraints. In…
Feature-based Representation for Violin Bridge Admittances
R. Malvermi, S. Gonzalez, M. Quintavalla +4
Frequency Response Functions (FRFs) are one of the cornerstones of musical acoustic experimental research. They describe the way in which musical instruments vibrate in a wide rang…
Near field Acoustic Holography on arbitrary shapes using Convolutional Neural Network
Marco Olivieri, Mirco Pezzoli, Fabio Antonacci +1
Near-field Acoustic Holography (NAH) is a well-known problem aimed at estimating the vibrational velocity field of a structure by means of acoustic measurements. In this paper, we…