Feb. 15, 2024, 5:43 a.m. | Christian Marinoni, Riccardo Fosco Gramaccioni, Changan Chen, Aurelio Uncini, Danilo Comminiello

cs.LG updates on arXiv.org arxiv.org

arXiv:2402.09245v1 Announce Type: cross
Abstract: The primary goal of the L3DAS23 Signal Processing Grand Challenge at ICASSP 2023 is to promote and support collaborative research on machine learning for 3D audio signal processing, with a specific emphasis on 3D speech enhancement and 3D Sound Event Localization and Detection in Extended Reality applications. As part of our latest competition, we provide a brand-new dataset, which maintains the same general characteristics of the L3DAS21 and L3DAS22 datasets, but with first-order Ambisonics recordings …

arxiv audio challenge cs.lg eess.as eess.sp extended reality overview reality type visual

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