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Direct linkMustafa Yildiz; Hasan Kagan Keskin; Saadin Oyucu; Douglas K. Hartman; Murat Temur; Mücahit Aydogmus – Reading & Writing Quarterly, 2025
This study examined whether an artificial intelligence-based automatic speech recognition system can accurately assess students' reading fluency and reading level. Participants were 120 fourth-grade students attending public schools in Türkiye. Students read a grade-level text out loud while their voice was recorded. Two experts and the artificial…
Descriptors: Artificial Intelligence, Reading Fluency, Human Factors Engineering, Grade 4
Agata Guskaroska – ProQuest LLC, 2024
Improving pronunciation in second language (L2) learning requires timely and personalized feedback but educators have limited time to dedicate in the classroom. While there are many educational tools available, educators are still struggling to integrate technology in their practices. To address this challenge, this study explores repurposing a…
Descriptors: Pronunciation, Adoption (Ideas), Second Language Learning, Technology Uses in Education
Qian, Zhaopeng; Wang, Li; Zhang, Shaochuan; Liu, Chan; Niu, Haijun – Journal of Speech, Language, and Hearing Research, 2019
Purpose: The application of Chinese Mandarin electrolaryngeal (EL) speech for laryngectomees has been limited by its drawbacks such as single fundamental frequency, mechanical sound, and large radiation noise. To improve the intelligibility of Chinese Mandarin EL speech, a new perspective using the automatic speech recognition (ASR) system was…
Descriptors: Mandarin Chinese, Speech, Recognition (Psychology), Automation
