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Volume 12, Issue 2
  • ISSN 2213-8706
  • E-ISSN: 2213-8714
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Abstract

Abstract

This study investigates the effectiveness of a Computer-Assisted Pronunciation Training (CAPT) system designed to enhance Mandarin lexical tone acquisition among second language (L2) learners in a self-directed learning context. Drawing on automated speech recognition (ASR) technology, the CAPT system provides real-time, individualized feedback on tone production accuracy. Elementary-level Mandarin learners at an international university in China were randomly assigned to either an experimental group engaged with the CAPT system or a control group using traditional listen-and-repeat practice. Over a two-week period, participants completed pre- and post-tests evaluating their production of four Mandarin tones at the sentence level. Statistical analyses revealed that the experimental group achieved significant gains in tonal accuracy across all four tones, while the control group showed no notable improvement. Survey data further supported the CAPT system’s usability and pedagogical value, with learners demonstrating increased awareness of tone patterns and pronunciation strategies. These findings highlight the efficacy of ASR-based CAPT for supporting tone acquisition in tonal languages like Mandarin, especially in supplementing classroom instruction for pronunciation development. The study addresses the underrepresented research in CAPT for L2 Mandarin learning and introduces an effective tool for L2 Mandarin learners and instructors.

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2025-10-06
2025-11-13

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/content/journals/10.1075/ijchl.00040.wu
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Enhancing Mandarin tone acquisition
International Journal of Chinese Linguistics 12, 286 (2025); https://doi.org/10.1075/ijchl.00040.wu
/content/journals/10.1075/ijchl.00040.wu
/content/journals/10.1075/ijchl.00040.wu
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  • Article Type: Research Article
Keyword(s): Computer-Assisted Pronunciation Training; Mandarin tones; second language acquisition; self-directed learning; speech technology

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