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A notebook for processing response data from Warner, McQueen & Cutler (2014)'s response data to use Unicode IPA symbols and adding explicit representation of stimuli contexts and prosodic structure.
Code for creating a model of the posterior confusability of words given (1) a language model and (2) diphone gating data that can be used to define a noise model.
This repository contains the code for baseline model replication along with all experiments and used datasets as part of the master's thesis on the topic "Detecting Dyslexia Using Deep Learning".