Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Sveva Pepe"'
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:11156-11164
Enabling computers to comprehend the intent of human actions by processing language is one of the fundamental goals of Natural Language Understanding. An emerging task in this context is that of free-form event process typing, which aims at understan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3ffe3351f93982ef3c50eab76de1529
https://doi.org/10.1609/aaai.v36i10.21365
https://doi.org/10.1609/aaai.v36i10.21365
Human–robot interactions require the ability of the system to determine if the user is paying attention. However, to train such systems, massive amounts of data are required. In this study, we addressed the issue of data scarcity by constructing a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::884845576ddca96b9cd91087c999837b
https://hdl.handle.net/11573/1664524
https://hdl.handle.net/11573/1664524
Autor:
Giuseppe Nachira, Enrico Rocchi, Riccardo F. Gramaccioni, Marco Pennese, Eric Guizzo, Aurelio Uncini, Christian Marinoni, Danilo Comminiello, Sveva Pepe, Saeid Jamili, Claudia Medaglia, Ludovica Paglialunga, Edoardo Massaro, Leonardo Nucciarelli
Publikováno v:
MLSP
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). Alongside with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec50eebcfec39e81ab09a30b41b64645