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Overview of the L3DAS23 Challenge on Audio-Visual Extended Reality
Christian Marinoni, Riccardo Fosco Gramaccioni, Changan Chen +2
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…
Dual Quaternion Ambisonics Array for Six-Degree-of-Freedom Acoustic Representation
Eleonora Grassucci, Gioia Mancini, Christian Brignone +2
Spatial audio methods are gaining a growing interest due to the spread of immersive audio experiences and applications, such as virtual and augmented reality. For these purposes, 3…
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…
L3DAS21 Challenge: Machine Learning for 3D Audio Signal Processing
Eric Guizzo, Riccardo F. Gramaccioni, Saeid Jamili +11
The L3DAS21 Challenge is aimed at encouraging and fostering collaborative research on machine learning for 3D audio signal processing, with particular focus on 3D speech enhancemen…
Quaternion Convolutional Neural Networks for Detection and Localization of 3D Sound Events
Danilo Comminiello, Marco Lella, Simone Scardapane +1
Learning from data in the quaternion domain enables us to exploit internal dependencies of 4D signals and treating them as a single entity. One of the models that perfectly suits w…