Analyzing the kinematics of speech: Improving English language proficiency through articulation and movement patterns

  • Xiaoyan Jing Shandong Shengli Vocational College, Dongying 257000, China
Keywords: electromagnetic articulography; motion capture; articulatory kinematics; body movement patterns; tongue velocity; language proficiency; gesture-speech synchronization
Article ID: 529

Abstract

This study investigates the impact of improving articulatory kinematics and body movement patterns on English language proficiency among learners, focusing on the integration of speech articulation and non-verbal communication. The research uses advanced technologies such as motion capture and electromagnetic articulography (EMA) to explore how targeted kinematic feedback and movement-based training enhance pronunciation, fluency, and overall communicative competence. A total of 67 participants, with varying levels of English proficiency, underwent a four-week intervention designed to improve articulation through kinematic visualization and refine non-verbal communication through gesture training. The results indicated significant improvements in key articulatory metrics, including a 12.67% increase in tongue velocity and a 16.71% improvement in lip displacement, though these changes were not statistically significant (p > 0.05). Pronunciation accuracy improved notably, with F1 and F2 formant frequencies showing statistically significant reductions for vowels such as /æ/ (p = 0.024) and /iː/ (p = 0.005). The study also found that speech fluency increased significantly, with participants showing a 14.50% increase in speech rate (p = 0.008) and a 27.23% reduction in pause frequency (p = 0.011). Non-verbal communication metrics also improved, with gesture frequency increasing by 40.49% (p = 0.013) and gesture-speech synchronization improving by 25.98% (p = 0.028). Additionally, strong correlations were found between kinematic improvements and overall language proficiency, with tongue velocity (r = 0.72, p = 0.002) and pronunciation accuracy (r = 0.80, p = 0.0005) exhibiting the highest correlations.

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Published
2025-01-06
How to Cite
Jing, X. (2025). Analyzing the kinematics of speech: Improving English language proficiency through articulation and movement patterns. Molecular & Cellular Biomechanics, 22(1), 529. https://doi.org/10.62617/mcb529
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Article