Proceedings of the Annual Meeting of the Cognitive Science Society

A connectionist model of auditory word perception in continuous speech is described. The aim is to model psycholinguistic data, with particular reference to the establishment of lexical percepts. There are no local representations of individual words: feature-level representations are mapped onto phoneme-level representations, with the training corpus reflecting the distribution of phonemes in conversational speech. Two architectures are compared for their ability to discover structure in temporally presented input. The model is applied to modelling the phoneme restoration effect and phoneme monitoring data.