Search Results for author: Christian Marinoni

Found 3 papers, 2 papers with code

Overview of the L3DAS23 Challenge on Audio-Visual Extended Reality

no code implementations14 Feb 2024 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.

Audio Signal Processing Sound Event Localization and Detection +1

L3DAS22 Challenge: Learning 3D Audio Sources in a Real Office Environment

1 code implementation21 Feb 2022 Eric Guizzo, Christian Marinoni, Marco Pennese, Xinlei Ren, Xiguang Zheng, Chen Zhang, Bruno Masiero, Aurelio Uncini, Danilo Comminiello

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 environments.

Sound Event Localization and Detection Speech Enhancement

L3DAS21 Challenge: Machine Learning for 3D Audio Signal Processing

1 code implementation12 Apr 2021 Eric Guizzo, Riccardo F. Gramaccioni, Saeid Jamili, Christian Marinoni, Edoardo Massaro, Claudia Medaglia, Giuseppe Nachira, Leonardo Nucciarelli, Ludovica Paglialunga, Marco Pennese, Sveva Pepe, Enrico Rocchi, Aurelio Uncini, Danilo Comminiello

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 enhancement (SE) and 3D sound localization and detection (SELD).

Audio Signal Processing BIG-bench Machine Learning +1

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