Generalization of Dimension-based Statistical Learning in Word Recognition

Examining Talker and Phoneme Generalization of Dimension-Based Statistical Learning in Speech Perception

Speech perception flexibly adapts to short-term regularities of the ambient speech input. Recent research demonstrates that the function of an acoustic dimension for speech categorization at a given time is relative to its relationship to the evolving distribution of dimensional regularity across time, and not simply to its fixed value along the dimension. Two studies examine the nature of this...

Specificity of dimension-based statistical learning in word recognition.

Speech perception flexibly adapts to short-term regularities of ambient speech input. Recent research demonstrates that the function of an acoustic dimension for speech categorization at a given time is relative to its relationship to the evolving distribution of dimensional regularity across time, and not simply to a fixed value along the dimension. Two experiments examine the nature of this d...

Generalization of dimension-based statistical learning

Recent research demonstrates that the diagnosticity of an acoustic dimension for speech categorization is relative to its relationship to the evolving distribution of dimensional regularity across time and not simply to its fixed value along the dimension. Two studies examine the nature of this learning in online word recognition, testing generalization of learning across lexical contexts, and ...

Journal of Experimental Psychology: Human Perception and Performance Specificity of Dimension-Based Statistical Learning in Word Recognition

Journal of Experimental Psychology: Human Perception and Performance Word Recognition Reflects Dimension-based Statistical Learning