■論文

(1) Hirai, A., & Kovalyova, A. (2022). Speech-to-text Applications’ Accuracy in English Language Learners’ Speech Transcription. Language Learning & Technology, (In press).

(2) Hirai,A., Kondo, Y., & Fujita, R. (2021). Development of an Automated Speech Scoring System: A Comparison With Human Raters. Language Education & Technology (LET) 58, 17-41. https://doi.org/10.24539/let.58.0_17

(3)Hirai, Akiyo, & Kovalyova, Angelina (2023). Using speech-to-text applications for assessing English language learners’ pronunciation: A comparison with human raters. In S. Maria-del-Mar, & W. M. El-Henawy (Eds.), Optimizing Online English Language Learning and Teaching (pp. 337-355). Springer.https://link.springer.com/book/10.1007/978-3-031-27825-9

■発表

Title: Accuracy of ELL Speech Transcription by STT Apps

Presenters: Kovalyova, Angelina & Hirai, Akiyo ( University of Tsukuba)

Date: Sunday, November 22nd; 5:20 PM - 5:45 PM

Place: Zoom Room No. 17

Speech-to-text (STT) apps can be utilized to evaluate English language learners' (ELL) pronunciation. The presentation will report on research findings, in which five different STT apps were tested for transcription accuracy. The STT accuracy rate was compared against pronunciation rating conducted by human raters, ELL English proficiency levels, and study-abroad experience. The findings also provide examples of the most mispronounced words by Japanese ELL within the context of experiment materials.