Predicting word categorization using NDL

Together with Denis Arnold, Konstantin Sering, Florence Lopez and R. Harald Baayen, we published a Paper on applying Naive Discriminative Learning to acoustic cues in PLOS ONE. NDL allows us to model and simulate human learing by means of a two layer input-output network.
 
We derive our input cues directly from the acoustics of the speech signal, independently of its spectral and temporal variation. By these means we show that NDL can predict auditory categorization of words with human-like accuracy without assuming a pipeline via phones.
 
By the way, anyone who is interested in learing how to use NDL is invited to visit my workshop at Phonetics and Phonology in Europe (PaPE) 2017.
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