Using Automatic Speech Recognition to Facilitate English Pronunciation Assessment and Learning in an EFL Context: Pronunciation Error Diagnosis and Pedagogical Implications

Autor/inn/en	Xiao, Wenqi; Park, Moonyoung
Titel	Using Automatic Speech Recognition to Facilitate English Pronunciation Assessment and Learning in an EFL Context: Pronunciation Error Diagnosis and Pedagogical Implications
Quelle	In: International Journal of Computer-Assisted Language Learning and Teaching, 11 (2021) 3, S.74-91, Artikel 5 (18 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Park, Moonyoung)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2155-7098
Schlagwörter	Automation; Computer Software; Handheld Devices; Diagnostic Tests; Error Patterns; Speech Communication; Technology Integration; Instructional Effectiveness; English (Second Language); Second Language Learning; Teacher Attitudes; Student Attitudes; College Students; Late Adolescents; Pronunciation Instruction; Computer Assisted Instruction; Foreign Countries; China + Suchen Sie Ihr Suchwort? Diagnostic test; Diagnostischer Test; Fehlertyp; Unterrichtserfolg; English as second language; English; Second Language; Englisch als Zweitsprache; Zweitsprachenerwerb; Lehrerverhalten; Schülerverhalten; Collegestudent; Halbstarker; Ausspracheübung; Computer based training; Computerunterstützter Unterricht; Ausland
Abstract	With the advancement of automatic speech recognition (ASR) technology, ASR-based pronunciation assessment can diagnose learners' pronunciation problems. Meanwhile, ASR-based pronunciation training allows more opportunities for pronunciation practice. This study aims to investigate the effectiveness of ASR technology in diagnosing English pronunciation errors and to explore teachers' and learners' attitudes towards using ASR technology as a pronunciation assessment tool and as a learning tool. Five Chinese EFL learners participated in read-aloud tests, including a human-assessed test and an ASR-assessed test. Pronunciation error types diagnosed by the two tests were compared to determine the extent of overlapping areas. The findings demonstrate that there were overlaps between human rating and machine rating at the segmental level. Moreover, it was found that learners' varied pronunciation learning needs were met by using the ASR technology. Implications of the study will provide insights relevant to using ASR technology to facilitate English pronunciation assessment and learning. (As Provided).
Anmerkungen	IGI Global. 701 East Chocolate Avenue, Hershey, PA 17033. Tel: 866-342-6657; Tel: 717-533-8845; Fax: 717-533-8661; Fax: 717-533-7115; e-mail: journals@igi-global.com; Web site: https://www.igi-global.com/journals/
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01