file.pdf (179.94 kB)
0/0

Generalization of dimension-based statistical learning in word recognition

Download (179.94 kB)
journal contribution
posted on 01.08.2011 by Lori Holt, Kaori Idemaru

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 dimension-based statistical learning in online word recognition, testing generalization of learning across talkers and across phonetic categories. The results indicate that dimension-based statistical learning generalizes across talkers, but is specific to experienced phonetic categories.

History

Date

01/08/2011

Exports

Exports