Bridging Accessibility, Innovation, and Multimodal AI for Inclusive Tourism Education

The Greek Language Multimodal Lip Ready (GLaM-Sign) is an innovative prototype multimodal corpus that the Greek research community lacks. It is the first Greek multimodal corpus that combines many modalities, including Greek Sign Language (GSL), in a remarkable volume of 30 hours in media duration with 279,042 words. It is designed for research purposes, can be easily extended, and is primarily intended for training or fine-tuning AI models supporting the inclusivity of society for Deaf and Hard-of-Hearing (DHH) individuals. This corpus was developed as part of the FEELIT project, combining high-resolution speech audio, digital videos of Greek Sign Language, visual lip-reading, and synchronized Greek subtitles. While its primary focus is promoting inclusiveness in Greek tourism, we extend it by adding extra modal lip reading. The primary purpose of this corpus is to be used in the future in other fields like learning hubs, healthcare, and public government services. It is the result of our collective efforts, and now it is our shared responsibility to continue its development. We call upon the AI research community to employ the innovative Greek multimodal corpus prototype in models, contribute to its expansion and improvement, and collaborate with various stakeholders. This would extend it to additional languages and realize a true multimodal and multilingual corpus. The GLaM-Sign shows the significant benefits of inclusive multimodal corpora in Greece, which lacks these vital resources. It would reduce communication gaps, foster innovation, and add value for the next inclusive AI technologies.

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Publication Details

Journal
WSEAS TRANSACTIONS ON ADVANCES in ENGINEERING EDUCATION
Published
2025-05-05
DOI
https://doi.org/10.37394/232010.2025.22.4
Primary Topic
Mobile Learning in Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Bridging Accessibility, Innovation, and Multimodal AI for Inclusive Tourism Education

Klimis Ntalianis, Nikos E. Mastorakis, Dimitris Kouremenos
WSEAS TRANSACTIONS ON ADVANCES in ENGINEERING EDUCATION
Mobile Learning in Education
article

Bridging Accessibility, Innovation, and Multimodal AI for Inclusive Tourism Education

Klimis Ntalianis, Nikos E. Mastorakis, Dimitris Kouremenos
article en

Abstract

The Greek Language Multimodal Lip Ready (GLaM-Sign) is an innovative prototype multimodal corpus that the Greek research community lacks. It is the first Greek multimodal corpus that combines many modalities, including Greek Sign Language (GSL), in a remarkable volume of 30 hours in media duration with 279,042 words. It is designed for research purposes, can be easily extended, and is primarily intended for training or fine-tuning AI models supporting the inclusivity of society for Deaf and Hard-of-Hearing (DHH) individuals. This corpus was developed as part of the FEELIT project, combining high-resolution speech audio, digital videos of Greek Sign Language, visual lip-reading, and synchronized Greek subtitles. While its primary focus is promoting inclusiveness in Greek tourism, we extend it by adding extra modal lip reading. The primary purpose of this corpus is to be used in the future in other fields like learning hubs, healthcare, and public government services. It is the result of our collective efforts, and now it is our shared responsibility to continue its development. We call upon the AI research community to employ the innovative Greek multimodal corpus prototype in models, contribute to its expansion and improvement, and collaborate with various stakeholders. This would extend it to additional languages and realize a true multimodal and multilingual corpus. The GLaM-Sign shows the significant benefits of inclusive multimodal corpora in Greece, which lacks these vital resources. It would reduce communication gaps, foster innovation, and add value for the next inclusive AI technologies.

WSEAS TRANSACTIONS ON ADVANCES in ENGINEERING EDUCATIONVol. 22
National Centre of Scientific Research "Demokritos" (GR), Technical University of Sofia (BG), University of West Attica (GR), Institute of Informatics of the Slovak Academy of Sciences (SK), Institute of Informatics & Telecommunications
Openalex Percentile: Top 87%
Mobile Learning in Education
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