Speaking to Machine: Validity of Pronunciation Assessment by Technology-Driven Systems

This mini review discusses the validity of technology-driven pronunciation assessment systems, focusing on their alignment with intelligibility as the central criterion of communicative competence. The review highlights the need for theoretical recalibration to ensure valid and inclusive assessment practices in high- and low-stakes contexts by interrogating scoring mechanisms, native-norm dependencies, and human-machine correlations.

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Publication Details

Journal
Integrated Journal for Research in Arts and Humanities
Published
2025-05-30
DOI
https://doi.org/10.55544/ijrah.5.3.31
Primary Topic
Speech and dialogue systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Speaking to Machine: Validity of Pronunciation Assessment by Technology-Driven Systems

Ali Babaeian
Integrated Journal for Research in Arts and Humanities
Speech and dialogue systems
article

Speaking to Machine: Validity of Pronunciation Assessment by Technology-Driven Systems

Ali Babaeian
article en

Abstract

This mini review discusses the validity of technology-driven pronunciation assessment systems, focusing on their alignment with intelligibility as the central criterion of communicative competence. The review highlights the need for theoretical recalibration to ensure valid and inclusive assessment practices in high- and low-stakes contexts by interrogating scoring mechanisms, native-norm dependencies, and human-machine correlations.

Integrated Journal for Research in Arts and HumanitiesVol. 5(3)
Center for Assessment (US)
Openalex Percentile: Top 94%
Speech and dialogue systems
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Speaking to Machine: Validity of Pronunciation Assessment by Technology-Driven Systems — Ali Babaeian · Integrated Journal for Research in Arts and Humanities (2025) | TGRS Research Map | TGRS