统计学学习从被动语音感知转移到语音生产
Timothy K Murphy1,2, Nazbanou Nozari3, Lori L Holt4
1Department of Psychology, Carnegie Mellon University, Baker Hall, Floor 3, Frew St, Pittsburgh, PA, 15213, USA. tkmurphy@andrew.cmu.edu.
Psychonomic bulletin & review
|October 26, 2023
概括
听众在短暂的被动接触后,迅速调整自己的语音生产,以匹配不熟悉的口音. 统计学学习影响声学线索,如基本频率 (F0),在感知和生产中都受到加权.
科学领域:
- 心理语言学 心理语言学
- 语音感知 语音感知
- 听力学习学习 听力学习
背景情况:
- 语音感知和语音制作密切相关,有证据表明感知-制作传输.
- 这种转移所涉及的精确机制和声学特性仍然不完全理解.
- 统计学学习为理解听众如何适应新的语音模式提供了一个框架.
研究的目的:
- 通过统计学学习的透视来研究语音中的感知-生产转移.
- 检查如何被动接触到声学变化的语音影响听众自己的产品.
- 为了确定感知权重的调整是否转移到语音生产.
主要方法:
- 参与者被动地倾听最小的对发言 (酒/pier) 与规范或反向的声学生产关系 (F0和语音发声时间).
- 听众分类一个感知模两可的测试刺激.
- 然后,参与者大声重复了测试刺激,以评估生产变化.
主要成果:
- 基本频率 (F0) 在感知分类中起到较小的作用,与正规条件相比,在反向 (口音) 条件中起到较小的作用.
- 这种对F0的感知下加权转移到语音生产中,听众在自己的发言中系统地降低了F0的权重.
- 这种效应在男性和女性参与者中都是强大的.
结论:
- 短期统计学习快速调整声学映射到基于被动倾听的语音类别.
- 这些感知学到的调整显著影响了后续的语音产生.
- 这项研究表明,通过被动听觉输入的统计学学习与声乐产生的变化之间存在直接联系.
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