What information is necessary for speech categorization? Harnessing variability in the speech signal by integrating cues computed relative to expectations
Identifieur interne : 001673 ( Pmc/Corpus ); précédent : 001672; suivant : 001674What information is necessary for speech categorization? Harnessing variability in the speech signal by integrating cues computed relative to expectations
Auteurs : Bob Mcmurray ; Allard JongmanSource :
- Psychological review [ 0033-295X ] ; 2011.
Abstract
Most theories of categorization emphasize how continuous perceptual information is mapped to categories. However, equally important is the informational assumptions of a model, the type of information subserving this mapping. This is crucial in speech perception where the signal is variable and context-dependent. This study assessed the informational assumptions of several models of speech categorization, in particular, the number of cues that are the basis of categorization and whether these cues represent the input veridically or have undergone compensation. We collected a corpus of 2880 fricative productions (
Url:
DOI: 10.1037/a0022325
PubMed: 21417542
PubMed Central: 3523696
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