A BAYESIAN BELIEF UPDATING MODEL OF PHONETIC RECALIBRATION AND SELECTIVE ADAPTATION

Dave Kleinschmidt1 and T. Florian Jaeger2

Department of Brain and Cognitive Sciences, University of Rochester1,
Department of Brain and Cognitive Sciences and Department of Computer Science, University of Rochester2,

dave.f.kleinschmidt@gmail.com


Abstract

The mapping from phonetic categories to acoustic cue values is highly flexible, and adapts rapidly in response to exposure. There is currently, however, no theoretical framework which captures the range of this adaptation. We develop a novel approach to modeling phonetic adaptation via a belief-updating model, and demonstrate that this model naturally unifies two adaptation phenomena traditionally considered to be distinct.

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