韩国语音识别句子:在语音感知中评估语义上下文和语言经验的大型语料库
Jieun Song1, Byungjun Kim2, Minjeong Kim3
1School of Digital Humanities and Computational Social Sciences, Korea Advanced Institute of Science and Technology, Daejeon, South Korea.
Journal of speech, language, and hearing research : JSLHR
|September 6, 2023
概括
这项研究开发了一个韩语句子库来测试语音识别和词汇处理. 经验证的句子显示了不同的语义可预测性,有助于在不同噪音水平和语言熟练程度的语音感知研究.
科学领域:
- 语言学的语言学.
- 语音科学 语言科学
- 心理语言学 心理语言学
背景情况:
- 开发标准化的语言材料对于言语和语言研究至关重要.
- 对于语音识别和词汇处理研究的韩国语言资源有限.
- 了解语义可预测性在语音感知中的作用是关键.
研究的目的:
- 创建和验证一个大型的韩语句子库.
- 建立有控制程度的语义可预测性的句子 (可预测,中立,异常).
- 促进韩国语音识别和词汇处理方面的研究.
主要方法:
- 产生了1021个韩语句子,最后一个词的可预测性各不相同.
- 通过使用母语 (n=56) 和非母语 (n=19) 韩语使用的cloze测试验证了语义可预测性.
- 采用计算机语言模型进行高效,可比的可预测性评估.
主要成果:
- 语音噪音实验显示,句子的可理解性与英语语体相当.
- 根据语义可预测性条件,可理解性显著变化.
- 句子表现出适当的难度来评估噪音和语言体验的影响.
结论:
- 经过验证的韩国语句体是语音研究的宝贵资源.
- 允许在不同条件下对韩语语音感知进行调查.
- 为扩大国际语音研究的语言机构做出了贡献.
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