AI语音应用提升非母语者发音感知与产出能力
Enhancing nonnative speech perception and production through an AI-powered application
- 用AI语音应用进行发音训练，含录音反馈与练习
- 训练后辨音准确率和发音表现显著提升
- 适合想在课外个性化练习发音的学习者
尽管利用人工智能（AI）通过各类应用改善外语发音的研究不断增多，但主要聚焦于可理解性和清晰度，忽视了对非母语者在听觉感知和发音产出中具体语音特征的提升。本研究通过一款名为Speakometer的AI移动端应用，考察其对英语非母语者听力辨别与句子中发音能力的影响。参与者在训练前完成测试，评估对英语‘heed-hid’元音对比的辨别能力及实际发音表现；干预阶段使用该应用进行录音任务，配合发音反馈与练习；训练后进行相同内容的后测。结果显示，参与者的辨别准确率和目标音素发音均有显著提升，但未达到母语者水平。结果表明，基于AI的应用在促进语音习得方面有效，具有在课堂外实现个性化、互动式发音训练的潜力。
原文摘要 · Abstract (English)
While research on using Artificial Intelligence (AI) through various applications to enhance foreign language pronunciation is expanding, it has primarily focused on aspects such as comprehensibility and intelligibility, largely neglecting the improvement of individual speech sounds in both perception and production. This study seeks to address this gap by examining the impact of training with an AI-powered mobile application on nonnative sound perception and production. Participants completed a pretest assessing their ability to discriminate the second language English heed-hid contrast and produce these vowels in sentence contexts. The intervention involved training with the Speakometer mobile application, which incorporated recording tasks featuring the English vowels, along with pronunciation feedback and practice. The posttest mirrored the pretest to measure changes in performance. The results revealed significant improvements in both discrimination accuracy and production of the target contrast following the intervention. However, participants did not achieve native-like competence. These findings highlight the effectiveness of AI-powered applications in facilitating speech acquisition and support their potential use for personalized, interactive pronunciation training beyond the classroom.
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