解码表达和暂停如何影响韩国英语学习者的发音能力
Tae-Jin Yoon1, Seunghee Han2, Seunghee Ha3
1Department of English Language and Literature, Sungshin Women's University, Seoul 02844, Republic of Korea.
Behavioral sciences (Basel, Switzerland)
|February 27, 2026
概括
更快的演讲和更短的暂停显著提高了韩国学习者的L2英语发音等级. 时间流性线索,如发音速率和沉默持续时间,是感知发音质量的关键预测因素.
科学领域:
- 获得第二语言的学习.
- 语音学和语音学 语音学和语音学
- 语音技术 语言技术
背景情况:
- 评估L2英语发音质量对于语言学习至关重要.
- 时间流性线索在发音评估中经常被忽视.
- 了解时机如何影响人类感知对于基于AI的评分至关重要.
研究的目的:
- 调查时间流性线索对人类L2英语发音评级的影响.
- 为了确定发音速率 (AR) 和平均静音持续时间 (SilMean) 是否预测发音准确度和表情/流利度等级.
- 探索时间组织与阅读L2语言中的感知发音质量之间的关系.
主要方法:
- 利用了大量的韩国英语学习者阅读语音库.
- 带有注释的演讲与五点的发音分数.
- 采用累积链接混合模型来分析发音率和平均沉默持续时间,控制学习者和任务变量.
主要成果:
- 更快的发音速率和更短的平均沉默时间与更高的发音评分有关.
- 时间线索显示,与表情/流度评级的关联比表达精度评级更强.
- 一个结合AR和SilMean的模型提供了最适合预测发音质量的模型.
结论:
- 时间组织是阅读语音中感知到的L2英语发音质量的强有力的预测器.
- 更快的言语和减少的沉默增强了人们感知的发音.
- 构造意识建模对于开发有效的基于AI的发音反系统至关重要.
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