Ahmed Elkhateeb , Majed Attia , Soha Eldakdoky , Mostafa Sabbagh , Abdulrahman L. Balkhoyor , Nawaf Alharthi , Mohamed M. Labib
{"title":"Proposed Arabic word lists for subjective speech intelligibility tests via a communication system","authors":"Ahmed Elkhateeb , Majed Attia , Soha Eldakdoky , Mostafa Sabbagh , Abdulrahman L. Balkhoyor , Nawaf Alharthi , Mohamed M. Labib","doi":"10.1016/j.asej.2025.103312","DOIUrl":null,"url":null,"abstract":"<div><div>This study addresses the critical gap in speech intelligibility testing for Arabic-speaking regions by introducing the first standardized, phonetically balanced Arabic word lists, aligned with ANSI S3.2. We curated 20-word lists, totalling 1,000 words, selected for their phonetic representation and frequency in the Modern Standard Arabic. These words were refined from an initial pool of 1,200 words through systematic evaluations of difficulty and familiarity. A key innovation here is the development of the Word Selector Application (WSA), a Python-based tool that facilitates randomized word selection, ensuring diversity and phonetic balance. The WSA significantly contributes to standardizing speech intelligibility tests in Arabic, enhancing the accuracy and reliability of assessments in many acoustic disciplines. Not only does this work pave the way for inclusion in international standards but it also underscores the need for comprehensive Arabic standards in subjective speech intelligibility testing, marking foundational steps towards bridging linguistic disparities in acoustic assessment.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 5","pages":"Article 103312"},"PeriodicalIF":6.0000,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ain Shams Engineering Journal","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S209044792500053X","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
This study addresses the critical gap in speech intelligibility testing for Arabic-speaking regions by introducing the first standardized, phonetically balanced Arabic word lists, aligned with ANSI S3.2. We curated 20-word lists, totalling 1,000 words, selected for their phonetic representation and frequency in the Modern Standard Arabic. These words were refined from an initial pool of 1,200 words through systematic evaluations of difficulty and familiarity. A key innovation here is the development of the Word Selector Application (WSA), a Python-based tool that facilitates randomized word selection, ensuring diversity and phonetic balance. The WSA significantly contributes to standardizing speech intelligibility tests in Arabic, enhancing the accuracy and reliability of assessments in many acoustic disciplines. Not only does this work pave the way for inclusion in international standards but it also underscores the need for comprehensive Arabic standards in subjective speech intelligibility testing, marking foundational steps towards bridging linguistic disparities in acoustic assessment.
期刊介绍:
in Shams Engineering Journal is an international journal devoted to publication of peer reviewed original high-quality research papers and review papers in both traditional topics and those of emerging science and technology. Areas of both theoretical and fundamental interest as well as those concerning industrial applications, emerging instrumental techniques and those which have some practical application to an aspect of human endeavor, such as the preservation of the environment, health, waste disposal are welcome. The overall focus is on original and rigorous scientific research results which have generic significance.
Ain Shams Engineering Journal focuses upon aspects of mechanical engineering, electrical engineering, civil engineering, chemical engineering, petroleum engineering, environmental engineering, architectural and urban planning engineering. Papers in which knowledge from other disciplines is integrated with engineering are especially welcome like nanotechnology, material sciences, and computational methods as well as applied basic sciences: engineering mathematics, physics and chemistry.