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pro vyhledávání: '"Gabrielli, Leonardo"'
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 BiasNet, is proposed to determine the IIR equalizer parameters. An output d
Externí odkaz:
http://arxiv.org/abs/2110.02077
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 valuable techniques for this goal such as Convolutional Neural Networks (CN
Externí odkaz:
http://arxiv.org/abs/1810.06325
Autor:
Gabrielli, Leonardo, Tomassetti, Stefano, Squartini, Stefano, Zinato, Carlo, Guaiana, Stefano
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. Whenever such models are used for commercial applications an additional co
Externí odkaz:
http://arxiv.org/abs/1809.05483
Autor:
Gabrielli, Leonardo, Migliorelli, Lucia, Cantarini, Michela, Mancini, Adriano, Squartini, Stefano
Publikováno v:
Integrated Computer-Aided Engineering; 2024, Vol. 31 Issue 4, p381-399, 19p
Publikováno v:
In Applied Acoustics June 2020 163
Autor:
Cantarini, Michela1 (AUTHOR) l.gabrielli@univpm.it, Gabrielli, Leonardo1 (AUTHOR), Squartini, Stefano1 (AUTHOR)
Publikováno v:
Sensors (14248220). Jun2022, Vol. 22 Issue 12, pN.PAG-N.PAG. 26p.
Autor:
Squartini, Stefano, Gabrielli, Leonardo, Longo, Roberto, Mancini, Adriano, Cantarini, Michela
A3CarScene is a dataset recorded while driving a research vehicle equipped with audio and video sensors on public roads in the Marche Region, Italy. The sensor suite includes eight microphones installed inside and outside the passenger compartment an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df5bc259b1d7c474c4f1758b9095b707
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