Overview of the L3DAS23 Challenge on Audio-Visual Extended Reality
Christian Marinoni Riccardo Fosco Gramaccioni Changan Chen Aurelio Uncini Danilo Comminiello
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 from multiple reverberant simulated
environments. Moreover, we start exploring an audio-visual scenario by
providing images of these environments, as perceived by the different
microphone positions and orientations. We also propose updated baseline models
for both tasks that can now support audio-image couples as input and a
supporting API to replicate our results. Finally, we present the results of the
participants. Further details about the challenge are available at
https://www.l3das.com/icassp2023.