no code implementations • LREC 2022 • Zdeněk Žabokrtský, Niyati Bafna, Jan Bodnár, Lukáš Kyjánek, Emil Svoboda, Magda Ševčíková, Jonáš Vidra
Our work aims at developing a multilingual data resource for morphological segmentation.
no code implementations • 20 Sep 2021 • Emil Svoboda, Tomáš Bořil, Jan Rusz, Tereza Tykalová, Dana Horáková, Charles R. G. Guttman, Krastan B. Blagoev, Hiroto Hatabu, Vlad I. Valtchinov
Objective: To determine the potential clinical utility of machine learning and deep learning/AI approaches for the aiding of diagnosis, biomarker extraction and progression monitoring of multiple sclerosis using speech recordings.