Computer-Assisted Pronunciation Training System for Atayal, an Indigenous Language in Taiwan

This research presents a computer-assisted pronunciation training system for Atayal, one of Taiwan's Indigenous languages. The core challenge addressed is modeling a low-resourced language and designing an automatic pronunciation training system for it. We employed a cross-lingual phoneme recognition model to assess learners' phonetic errors and used a comparison-based approach to evaluate learners' intonation quality. Subsequently, our system can visualize the position of pronunciation mistakes and provide feedback on mistake properties. After system testing, we observed that all the learners felt the system enhanced their learning experience.

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Publication Details

Published
2024-10-17
DOI
https://doi.org/10.1109/o-cocosda64382.2024.10799992
Primary Topic
Speech and dialogue systems
Type
article
Field-Weighted Citation Impact
0.00
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Computer-Assisted Pronunciation Training System for Atayal, an Indigenous Language in Taiwan

Ching-Ting Hsin, Di Tam Luu, Hsiu-Chuan Hsu, Yiwen Liu et al.
Speech and dialogue systems
article

Computer-Assisted Pronunciation Training System for Atayal, an Indigenous Language in Taiwan

Ching-Ting Hsin, Di Tam Luu, Hsiu-Chuan Hsu, Yiwen Liu, Ya-Chu Chuang
article en

Abstract

This research presents a computer-assisted pronunciation training system for Atayal, one of Taiwan's Indigenous languages. The core challenge addressed is modeling a low-resourced language and designing an automatic pronunciation training system for it. We employed a cross-lingual phoneme recognition model to assess learners' phonetic errors and used a comparison-based approach to evaluate learners' intonation quality. Subsequently, our system can visualize the position of pronunciation mistakes and provide feedback on mistake properties. After system testing, we observed that all the learners felt the system enhanced their learning experience.

National Tsing Hua University (TW)
Quality Education
Openalex Percentile: Top 78%
Speech and dialogue systems
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