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Connecting Arabs: Bridging the Gap in Dialectal Speech Recognition

Authors: Ahmed Ali; Shammur Chowdhury; Mohamed Afify; Wassim El-Hajj; Hazem Hajj; Mourad Abbas; Amir Hussein; +3 Authors

Connecting Arabs: Bridging the Gap in Dialectal Speech Recognition

Abstract

Abstract:AUTOMATIC SPEECH RECOGNITION refers to the process through which speech is converted into text. Over the decades, automatic speech recognition has achieved many milestones, thanks to advances in machine learning and low-cost computer hardware. As a result, the best systems for English have achieved a single-digit word error rate (WER) and, in some conversational tasks, performance is comparable to human transcribers.This work was originally published in: COMMUNICATIONS OF THE ACM, Volume 64.0, Issue 4.0, Pages 124-129, 2021.This version is archived in the Arab International University (AIU) repository for open access and dissemination purposes.The content of this paper has not been modified from the original publication.For more information, please visit the official repository of Arab International University (AIU): https://www.aiu.edu.sy

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