熊不总是和酒混在一起:统计学学习在语音学习中的概括限制
Timothy K Murphy1,2, Nazbanou Nozari3,4, Lori L Holt5
1Waisman Center, University of Wisconsin-Madison, 1500 Highland Ave, Madison, WI, 53705, USA. tmurphy37@wisc.edu.
Psychonomic bulletin & review
|April 14, 2025
概括
被动语音暴露使统计学学习和概括成为可能,但任务需求会影响结果. 听众 听众 听众 听众
科学领域:
- 认知科学和心理语言学.
- 听觉感知和语音处理.
- 统计学学习和语言学习.
背景情况:
- 感知通过被动暴露隐含地适应声学规律.
- 之前的研究要求积极的倾听者参与,限制了对被动学习的理解.
- 在统计学学习和概括中被动暴露的作用仍然未被充分探索.
研究的目的:
- 通过被动暴露来研究语音规律的统计学学习.
- 为了确定这种学习是否通用到新的语音刺激.
- 检查任务需求对感知概括和生产的影响.
主要方法:
- 操纵语音发声时间 (VOT) 和基本频率 (F0) 以创建分布规律.
- 听众被动地接触到这些改变的语音分布.
- 测试了对新项目的概括,并评估了对语音产生的影响.
主要成果:
- 被动暴露诱导语音规律的统计学学习.
- 对新项目的概括是有限的,并且取决于任务需求.
- 统计学学习转移到语音生产,但没有将其泛化为未经训练的刺激.
结论:
- 对于统计学学习和感知概括而言,被动暴露足够.
- 任务需求显著调节了一般化的程度.
- 语音的产生并不自动反映感知学习;概括并不总是伴随着生产转移.
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