The effectiveness of automatic speech recognition in ESL/EFL pronunciation: A meta-analysis

被引:7
|
作者
Ngo, Thuy Thi-Nhu [1 ]
Chen, Howard Hao-Jan [1 ]
Lai, Kyle Kuo-Wei [1 ]
机构
[1] Natl Taiwan Normal Univ, English Dept, Taipei, Taiwan
关键词
automatic speech recognition; ASR; speech technology; pronunciation; meta-analysis; effectiveness; JAPANESE LEARNERS; INSTRUCTION; SOFTWARE; FEEDBACK; ACCENT;
D O I
10.1017/S0958344023000113
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
This meta-analytic study explores the overall effectiveness of automatic speech recognition (ASR) on ESL/EFL student pronunciation performance. Data with 15 studies representing 38 effect sizes found from 2008 to 2021 were meta-analyzed. The findings of the meta-analysis indicated that ASR has a medium overall effect size (g = 0.69). Results from moderator analyses suggest that (1) ASR with explicit corrective feedback is largely effective, while ASR with indirect feedback (e.g. ASR dictation) is moderately effective; (2) ASR has a large effect on segmental pronunciation but a small effect on suprasegmental pronunciation; (3) medium to long treatment duration of ASR results in higher learning outcomes, but short duration offers no differential effect compared to a non-ASR condition; (4) practicing pronunciation with peers in an ASR condition produces a large effect, but the effect is small when practicing alone; (5) ASR is largely effective for adult (i.e. 18 years old and above) and intermediate English learners. Overall, ASR is a beneficial application and is recommended for assisting L2 student pronunciation development.
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页码:4 / 21
页数:18
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