单词和口哨:统计学学习对于被认为是语音和非语音的相同声音也类似地运行
Sierra J Sweet1, Stephen C Van Hedger2, Laura J Batterink3
1Department of Psychology, Western University, London, ON, Canada.
Cognition
|October 23, 2023
概括
统计学学习,即提取环境模式的能力,不是通过将声音视为语音来增强的. 这表明统计学学习是一个自动的过程,独立于感知到的语言相关性.
科学领域:
- 认知科学 认知科学
- 心理语言学 心理语言学
- 听觉感知是一种听觉感知.
背景情况:
- 统计学学习可以从环境中提取模式,这对于语音学习至关重要.
- 之前的研究表明,在统计学学习中,语言优势在于语音,这意味着语言倾向.
- 这种优势可能源于声学特性,而不是主观的语音感知.
研究的目的:
- 调查是否统计学学习优于语音类刺激与非语音刺激相比,控制声学.
- 为了确定主观感知声音是否像语音一样影响统计学学习能力.
- 区分语音感知对个体声音处理和模式提取的影响.
主要方法:
- 参与者被诱导将正弦波语音 (SWS) 视为语音或非语音.
- 学习被评估使用明确的熟悉度评级和隐含的目标检测任务与基于SWS的无意义单词.
- 声学特征通过使用相同的模两可的SWS刺激来控制两个感知条件.
主要成果:
- 统计学学习成绩是同等的,不管SWS被认为是语音还是非语音.
- 认为SWS更像是语音的参与者表现出了对单个音节的增强检测.
- 语音感知有助于处理单个声音,但不能提取声音模式.
结论:
- 统计学学习不受听觉刺激的感知语言相关性的影响.
- 从声音中提取模式的能力似乎是一个自动的,刺激驱动的机制.
- 语音感知有助于处理单个声音,但不是潜在的统计学习机制.
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