BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Efficient Transformer-Based Speech Recognition
DTSTART:20221013T160000
DTSTAMP:20260406T171923Z
UID:881fd717849653b1fa8ae38c36cb231076b7f97dfe6924db9a844082
CATEGORIES:Thesis defenses
DESCRIPTION:Apoorv VYAS\nThesis Directors: Prof. H. Bourlard\, Prof. F. Fl
 euret\nElectrical Engineering doctoral program\nThesis Nr. 9766\n\nTo tak
 e part in the public defense\, please contact directly the speaker
LOCATION:MED 2 1522 https://plan.epfl.ch/?room==MED%202%201522
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR