解决语音中的竞争性预测:质量上不同的线索和线索可靠性如何为语音识别做出贡献
Anne Marie Crinnion1, Sahil Luthra2, Phoebe Gaston3
1University of Connecticut, Storrs, CT, USA. anne.crinnion@uconn.edu.
Attention, perception & psychophysics
|February 22, 2024
概括
听众整合不同的语音线索,如交叉模式启动和听觉上下文,添加. 然而,暗示值的可靠性并不影响语音识别,揭示了对语音感知的洞察力.
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:
- 听众利用多个信息源来进行语音解释.
- 现有的框架探讨了语音处理的限制,但缺乏整合不同线索的清晰度.
研究的目的:
- 研究听众如何在语音识别中整合质量上不同的线索 (时间,模式) 和数量上不同的线索 (可靠性).
- 为了确定跨模态身份原始化是否影响模两可的语音解释.
主要方法:
- 进行了三项实验 (每项N=40).
- 实验1:评估对模两可的语音解释的交叉模式身份原始化效应.
- 实验2:研究了交叉模式原始化和听觉协同articulatory背景的添加效应.
- 实验3a和3b:研究了不同提示可靠性对语音识别的影响.
主要成果:
- 交叉模式的身份初始化显著影响了模两可的语音解释.
- 质量上不同的线索 (交叉模式原始化,听觉上下文) 显示了对语音识别的附加效应.
- 暗示可靠性的定量变化没有影响语音识别结果.
结论:
- 在线语音感知过程中,质量上不同的线索被添加集成.
- 这些发现有助于理解不同时机和方式的信息在语音感知中的整合.
- 单一提示的可靠性可能不是这个整合过程中的主要因素.
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