65 citations · 174 across the 16 of their papers we have counts for
7 papers · 1 filter
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…
Unsupervised Domain Adaptation for Acoustic Scene Classification Using Band-Wise Statistics Matching
Alessandro Ilic Mezza, Emanuël A. P. Habets, Meinard Müller +1
The performance of machine learning algorithms is known to be negatively affected by possible mismatches between training (source) and test (target) data distributions. In fact, th…
Time Difference of Arrival Estimation from Frequency-Sliding Generalized Cross-Correlations Using Convolutional Neural Networks
Luca Comanducci, Maximo Cobos, Fabio Antonacci +1
The interest in deep learning methods for solving traditional signal processing tasks has been steadily growing in the last years. Time delay estimation (TDE) in adverse scenarios…
Frequency-Sliding Generalized Cross-Correlation: A Sub-band Time Delay Estimation Approach
Maximo Cobos, Fabio Antonacci, Luca Comanducci +1
The generalized cross correlation (GCC) is regarded as the most popular approach for estimating the time difference of arrival (TDOA) between the signals received at two sensors. T…