Abstract
Spoken word recognition is thought to be achieved via competition in the mental lexicon between perceptually similar word forms. A review of the development and initial behavioral validations of computational models of visual spoken word recognition is presented, followed by a report of new empirical evidence. Specifically, a replication and extension of Mattys, Bernstein & Auer's (2002) study was conducted with 20 deaf participants who varied widely in speechreading ability. Participants visually identified isolated spoken words. Accuracy of visual spoken word recognition was influenced by the number of visually similar words in the lexicon and by the frequency of occurrence of the stimulus words. The results are consistent with the common view held within auditory word recognition that this task is accomplished via a process of activation and competition in which frequently occurring units are favored. Finally, future directions for visual spoken word recognition are discussed.