45 citations · 45 across the 2 of their papers we have counts for
2 papers
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…
eess.AS2022
A two-step backward compatible fullband speech enhancement system
Xu Zhang, Lianwu Chen, Xiguang Zheng +4
Speech enhancement methods based on deep learning have surpassed traditional methods. While many of these new approaches are operating on the wideband (16kHz) sample rate, a new fu…