Abstract
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.
Original language | English |
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Pages (from-to) | 4-21 |
Number of pages | 18 |
Journal | ReCALL |
Volume | 36 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2024 Jan 1 |
Keywords
- ASR
- automatic speech recognition
- effectiveness
- meta-analysis
- pronunciation
- speech technology
ASJC Scopus subject areas
- Education
- Language and Linguistics
- Linguistics and Language
- Computer Science Applications