语音感知中的分类-一致性的一致性
Hyoju Kim1, Bob McMurray2,3, Eldon Sorensen4
1Department of Psychological and Brain Sciences, University of Iowa, 255E PBSB, Iowa City, IA, 52242, USA. hyoju-kim@uiowa.edu.
Psychonomic bulletin & review
|April 24, 2025
概括
语音分类一致性,而不是斜率,是一种稳定的个体特征. 这一发现表明,听众在语音感知中的一致性是比以前认为的更可靠的衡量标准.
科学领域:
- 心理语言学 心理语言学
- 听觉感知是一种听觉感知.
- 认知科学 认知科学
背景情况:
- 语音分类中的个人差异通常通过使用视觉模拟缩放 (VAS) 任务来测量响应函数的平均斜率.
- 最近的研究表明,分类一致性 (试验对试验的可变性) 可能比平均斜率更强烈地预测现实世界的结果.
- 这些VAS指数在语音感知中的稳定性和特征性质仍然不确定.
研究的目的:
- 调查视觉模拟缩放 (VAS) 索引用于语音分类的稳定性和特征性质.
- 分析各种语音连续的VAS响应,以评估可靠性.
- 检查语音分类差异与更广泛的认知因素之间的潜在关联.
主要方法:
- 68名美国英语成年人参与了这项研究.
- 参与者完成了用于语音分类的视觉模拟缩放 (VAS) 任务.
- 评估自闭症特征,焦虑和冲动性的问卷与VAS任务一起进行.
主要成果:
- 与分类斜率相比,分类一致性在不同语音连续类型之间显示出更强的相关性.
- 在VAS指数和更广泛的认知因素,如自闭症特征,焦虑或冲动性之间没有发现显著的相关性.
- 分类一致性是比平均分类斜率更稳定的个体属性.
结论:
- 分类一致性是比平均斜率更稳定,更可靠地衡量语音感知中的个体差异.
- 语音分类一致性不受更广泛的认知因素的影响,这表明它是一种独特的感知特征.
- 听众在语音分类中的一致性为听觉感知中的个体差异提供了更准确的描述.
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