国际体育联合会声学计算器:用于计算声学指标的在线工具
Connor Mayer1, Arya Kondur2, Megha Sundara3
1University of California Irvine, Irvine, CA, USA. cjmayer@uci.edu.
Behavior research methods
|July 3, 2025
概括
该UCI声学计算器 (UCIPC) 量化语言数据中的声音模式. 考虑声音位置和单词边界的指标最能预测人类对单词可接受性的判断.
科学领域:
- 语言学的语言学.
- 计算语言学 计算语言学
- 心理语言学 心理语言学
背景情况:
- 声学模型对于理解语言结构至关重要.
- 现有的分析语音战术的工具往往缺乏灵活性和用户友好性.
- 研究人员需要易于使用的工具来分析各种语言的语音模式.
研究的目的:
- 介绍UCI声学计算器 (UCIPC),这是一个用于量化声学模式的新在线工具.
- 使用UCIPC评估不同声学指标的预测能力.
- 将UCIPC的指标与非单词可接受性研究中的人类判断进行比较.
主要方法:
- 开发了具有用户友好的界面的UCI光学计算器 (UCIPC).
- 实施了一系列的语音指标,包括考虑分段位置和词界限的指标.
- 在四种语言中收集和分析了八项已发表的nonce word可接受性判断研究的数据.
主要成果:
- UCIPC允许用户输入定制训练数据进行分析.
- 结合相对声音位置和词界限的指标显著超过了基于绝对位置的指标.
- 该工具成功预测了跨语言可接受性判断任务中的人类反应.
结论:
- UCIPC是语言学中的语音学分析的宝贵和可访问的资源.
- 考虑上下文 (声音位置,边界) 的声学模型在心理上更现实.
- 该UCIPC促进实验设计和分析在phonotactics和相关领域.
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