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20232026
most citedLAraBench: Benchmarking Arabic AI with Large Language Models

14 citations · 20 across the 10 of their papers we have counts for

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5 papers · 1 filter

cs.CL2023

L1-aware Multilingual Mispronunciation Detection Framework

Yassine El Kheir, Shammur Absar Chowdhury, Ahmed Ali

The phonological discrepancies between a speaker's native (L1) and the non-native language (L2) serves as a major factor for mispronunciation. This paper introduces a novel multili…

cs.CL2023★ 1 cited

The complementary roles of non-verbal cues for Robust Pronunciation Assessment

Yassine El Kheir, Shammur Absar Chowdhury, Ahmed Ali

Research on pronunciation assessment systems focuses on utilizing phonetic and phonological aspects of non-native (L2) speech, often neglecting the rich layer of information hidden…

eess.AS2023

MyVoice: Arabic Speech Resource Collaboration Platform

Yousseif Elshahawy, Yassine El Kheir, Shammur Absar Chowdhury +1

We introduce MyVoice, a crowdsourcing platform designed to collect Arabic speech to enhance dialectal speech technologies. This platform offers an opportunity to design large diale…

cs.SD2023

Multi-View Multi-Task Representation Learning for Mispronunciation Detection

Yassine El Kheir, Shammur Absar Chowdhury, Ahmed Ali

The disparity in phonology between learner's native (L1) and target (L2) language poses a significant challenge for mispronunciation detection and diagnosis (MDD) systems. This cha…

cs.CL2023★ 14 cited

LAraBench: Benchmarking Arabic AI with Large Language Models

Ahmed Abdelali, Hamdy Mubarak, Shammur Absar Chowdhury +13

Recent advancements in Large Language Models (LLMs) have significantly influenced the landscape of language and speech research. Despite this progress, these models lack specific b…