Evaluating Models of Robust Word Recognition with Serial Reproduction
Stephan C. Meylan,
Sathvik Nair,
Thomas L. Griffiths
Abstract:Spoken communication occurs in a "noisy channel" characterized by high levels of environmental noise, variability within and between speakers, and lexical and syntactic ambiguity. Given these properties of the received linguistic input, robust spoken word recognition-and language processing more generally-relies heavily on listeners' prior knowledge to evaluate whether candidate interpretations of that input are more or less likely. Here we compare several broad-coverage probabilistic generative language model… Show more
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