JOURNAL ARTICLE

Acoustic analysis of English tense and lax vowels: Comparing the production between Mandarin Chinese learners and native English speakers

Hui FengLijuan Wang

Year: 2024 Journal:   The Journal of the Acoustical Society of America Vol: 155 (5)Pages: 3071-3089   Publisher: Acoustical Society of America

Abstract

This study investigated how 40 Chinese learners of English as a foreign language (EFL learners) differed from 40 native English speakers in the production of four English tense-lax contrasts, /i-ɪ/, /u-ʊ/, /ɑ-ʌ/, and /æ-ε/, by examining the acoustic measurements of duration, the first three formant frequencies, and the slope of the first formant movement (F1 slope). The dynamic formant trajectory was modeled using discrete cosine transform coefficients to demonstrate the time-varying properties of formant trajectories. A discriminant analysis was employed to illustrate the extent to which Chinese EFL learners relied on different acoustic parameters. This study found that: (1) Chinese EFL learners overemphasized durational differences and weakened spectral differences for the /i-ɪ/, /u-ʊ/, and /ɑ-ʌ/ pairs, although they maintained sufficient spectral differences for /æ-ε/. In contrast, native English speakers predominantly used spectral differences across all four pairs; (2) in non-low tense-lax contrasts, unlike native English speakers, Chinese EFL learners failed to exhibit different F1 slope values, indicating a non-nativelike tongue-root placement during the articulatory process. The findings underscore the contribution of dynamic spectral patterns to the differentiation between English tense and lax vowels, and reveal the influence of precise articulatory gestures on the realization of the tense-lax contrast.

Keywords:
Formant Mandarin Chinese Linguistics Psychology Contrast (vision) Speech production Duration (music) Realization (probability) First language Vowel Mathematics Speech recognition Acoustics Computer science Artificial intelligence Physics

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3
Cited By
3.29
FWCI (Field Weighted Citation Impact)
79
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0.84
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Citation History

Topics

Phonetics and Phonology Research
Social Sciences →  Psychology →  Experimental and Cognitive Psychology
Speech and Audio Processing
Physical Sciences →  Computer Science →  Signal Processing
Speech Recognition and Synthesis
Physical Sciences →  Computer Science →  Artificial Intelligence
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