Classifying Acoustic Signals into Phoneme Categories

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Description: Classifying Acoustic Signals into Phoneme Categories: Average and Dyslexic Readers Make Use Of Complex Dynamical Patterns and Self-Affine Temporal Structure

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Supplemental materials Classifying Acoustic Signals into Phoneme Categories: Average and Dyslexic Readers Make Use Of Complex Dynamical Patterns and Self-Affine Temporal Structure The Github repository contains MatLab scripts: Hasselman2014_extractmeasures.m: Extract the measures used in QDA, based on the speech stimuli in STIMULI. Hasselman2014_Fig1-10.m: Recreate Figure 1 to 10. Hasselman2...

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    Hasselman
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