45 citations · 45 across the 3 of their papers we have counts for
3 papers
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…
Song Emotion Recognition: a Performance Comparison Between Audio Features and Artificial Neural Networks
Karen Rosero, Arthur Nicholas dos Santos, Pedro Benevenuto Valadares +1
When songs are composed or performed, there is often an intent by the singer/songwriter of expressing feelings or emotions through it. For humans, matching the emotiveness in a mus…
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…