BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//ITSERR - ECPv6.2.8.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:ITSERR
X-ORIGINAL-URL:https://www.itserr.it
X-WR-CALDESC:Events for ITSERR
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Brussels
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20250330T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20251026T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Brussels:20250514T110000
DTEND;TZID=Europe/Brussels:20250514T120000
DTSTAMP:20260416T014343
CREATED:20250508T104735Z
LAST-MODIFIED:20250512T135840Z
UID:1746-1747220400-1747224000@www.itserr.it
SUMMARY:Seminar "Arabic Multimodal Language Modeling"
DESCRIPTION:On May 14\, the Faedo Lecture Hall at ISTI-CNR will host the seminar “Arabic Multimodal Language Modeling”\, presented by Hawau Olamide Toyin\, a PhD student in Natural Language Processing at the Mohammed bin Zayed University of Artificial Intelligence (MBZUAI). \nHawau Olamide Toyin is a visiting scholar at ISTI-CNR thanks to a TNA (Transnational Access) grant\, awarded within the framework of ITSERR – Italian Strengthening of ESFRI RI Resilience\, a project funded by the Italian National Recovery and Resilience Plan (PNRR). Her research stay is part of the international mobility initiatives aimed at promoting access to cutting-edge research infrastructures in the field of humanities and social sciences. \nDuring the seminar\, she will present ArTST\, a pre-trained transformer model for Arabic speech and text\, which extends the unified SpeechT5 architecture originally developed for English. ArTST enables joint learning of speech and text representations and can be fine-tuned for a variety of tasks\, including speech recognition\, speech synthesis\, speech enhancement\, speaker identification\, and dialect classification. \nThe seminar also addresses a key research question: Can a single model be trained to handle multiple cross-modal speech-text tasks? The results obtained so far—both in high-resource (English) and low-resource (Arabic) settings—are promising. \nThis seminar is part of the ITSERR research activities in artificial intelligence\, language technologies\, and digital infrastructures for the humanities. \nRemote access link.
URL:https://www.itserr.it/event/seminar-arabic-multimodal-language-modeling/
LOCATION:ISTI CNR\, G. Moruzzi 1\, Pisa
END:VEVENT
END:VCALENDAR