Estimating Surprisal from the Speech Signal
An importance sampling estimator is introduced that approximates the probability of an abstract unit by marginalizing over realizations generated by a text-to-speech model, and finds that surprisal values for sub-lexical units are predictive of pupil dilation.
Z. Hopton, Samuel Kiegeland, F. Re et al.
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