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20212026
most citedLAraBench: Benchmarking Arabic AI with Large Language Models

14 citations · 46 across the 26 of their papers we have counts for

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Showing 2023Show all

9 papers · 1 filter

cs.CL2023

Pseudo-Labeling for Domain-Agnostic Bangla Automatic Speech Recognition

Rabindra Nath Nandi, Mehadi Hasan Menon, Tareq Al Muntasir +5

One of the major challenges for developing automatic speech recognition (ASR) for low-resource languages is the limited access to labeled data with domain-specific variations. In t…

cs.CL2023★ 1 cited

Automatic Pronunciation Assessment -- A Review

Yassine El Kheir, Ahmed Ali, Shammur Absar Chowdhury

Pronunciation assessment and its application in computer-aided pronunciation training (CAPT) have seen impressive progress in recent years. With the rapid growth in language proces…

cs.SD2023

Speech collage: code-switched audio generation by collaging monolingual corpora

Amir Hussein, Dorsa Zeinali, Ondřej Klejch +6

Designing effective automatic speech recognition (ASR) systems for Code-Switching (CS) often depends on the availability of the transcribed CS resources. To address data scarcity,…

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…

cs.CL2023★ 4 cited

LLMeBench: A Flexible Framework for Accelerating LLMs Benchmarking

Fahim Dalvi, Maram Hasanain, Sabri Boughorbel +10

The recent development and success of Large Language Models (LLMs) necessitate an evaluation of their performance across diverse NLP tasks in different languages. Although several…

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…

eess.AS2023

QVoice: Arabic Speech Pronunciation Learning Application

Yassine El Kheir, Fouad Khnaisser, Shammur Absar Chowdhury +3

This paper introduces a novel Arabic pronunciation learning application QVoice, powered with end-to-end mispronunciation detection and feedback generator module. The application is…

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…