45 citations · 45 across the 3 of their papers we have counts for
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eess.AS2023
AIRCADE: an Anechoic and IR Convolution-based Auralization Data-compilation Ensemble
Túlio Chiodi, Arthur dos Santos, Pedro Martins +1
In this paper, we introduce a data-compilation ensemble, primarily intended to serve as a resource for researchers in the field of dereverberation, particularly for data-driven app…
eess.AS2022★ 45 cited
L3DAS22 Challenge: Learning 3D Audio Sources in a Real Office Environment
Eric Guizzo, Christian Marinoni, Marco Pennese +6
The L3DAS22 Challenge is aimed at encouraging the development of machine learning strategies for 3D speech enhancement and 3D sound localization and detection in office-like enviro…