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It attributes many mistakes to differences between Arabic and English phonetic systems and the resulting sound transformation barrier. 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One promising emerging technology that supports language learning is automatic speech recognition (ASR) . Integrating such technology, especially in the instruction of pronunciation in the classroom, is important in helping students to achieve correct pronunciation. In Iraq, English is a foreign language, and it is not surprising that learners commit many pronunciation mistakes. One factor contributing to these mistakes is the difference between the Arabic and English phonetic systems. Thus, the sound transformation from the mother tongue (Arabic) to the target language (English) is one barrier for Arab learners. The purpose of this study is to investigate the effectiveness of using automatic speech recognition ASR EyeSpeak software in improving the pronunciation of Iraqi learners of English. An experimental research project with a pretest-posttest design is conducted over a one-month period in the Department of English at Al-Turath University College in Baghdad, Iraq. The ten participants are randomly selected first-year college students enrolled in a pronunciation class that uses traditional teaching methods and ASR EyeSpeak software. The findings show that using EyeSpeak software leads to a significant improvement in the students’English pronunciation, evident from the test scores they achieve after using EyeSpeak software.  \nKeywords: pronunciation instruction, automatic speech recognition (ASR), English as a Foreign Language (EFL)  \n1. Introduction  \nThe increasing demand for technology use in everyday life serves many purposes, one of which being in education as away to facilitate teaching and learning. It is necessary to use technology, especially in the foreign language classroom where there is limited time for exposure to and practice of the target language. Therefore, language learners need to listen to and practice using the target language more often in a stress-free environment. The important factor in learning any language is being able to speak that language in an intelligible way. In helping students achieve this, using classroom-based technology such as automatic speech recognition (ASR) to teach English pronunciation has a positive impact on an individual ’s outcomes and performance (Chapella, 2001) . It provides authentic material, such as native speakers ’pronunciation of the target language, and at the same time allows the students to listen to and practice their pronunciation in an enjoyable setting; it also gives each individual learner immediate corrections and feedback, which is difficult to achieve in class with a large number of students.  \nThe increased use of automatic speech recognition (ASR) is now an important element in teaching pronunciation. Many studies recommend its use as essential to the process due to the advantages it offers learners (Chapelle, 2001; ButlerPascoe & Wiburg, 2003; Neri, Cucchiarini, &","cbCainqi0ZpYOvDm","https://ap.wps.com/l/cbCainqi0ZpYOvDm","pdf",207811,"English","# Abstract\n# Keywords\n# 1. Introduction","[{\"question\":\"What is the purpose of the pilot study?\",\"answer\":\"To investigate the effectiveness of using automatic speech recognition (ASR) EyeSpeak software in improving Iraqi learners’ English pronunciation.\"},{\"question\":\"What research design and duration were used?\",\"answer\":\"An experimental pretest-posttest design was conducted over a one-month period.\"},{\"question\":\"Why do Iraqi learners make pronunciation mistakes in the study’s context?\",\"answer\":\"Many errors are linked to differences between the Arabic and English phonetic systems and the sound transformation from Arabic to English.\"}]","The Effect of Automatic Speech Recognition EyeSpeak Software on Iraqi Students’English Pronunciation: A Pilot Study | PDF",1792067925,18]