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date: 14 November 2018

Abstract and Keywords

Spoken word recognition occurs when listeners use the auditory signal to retrieve a word from long-term memory. The present chapter provides a historical overview of key theoretical developments and reviews how these developments contributed toward our understanding of the cognitive processes involved in spoken word recognition. Despite the maturity of this field, research in spoken word recognition continues to advance in interesting directions. The chapter concludes with a brief consideration of three recent, innovative approaches in spoken word recognition research: Bayesian models, network science, and discriminative learning, and a discussion of challenges that remain to be addressed in models of spoken word recognition.

Keywords: spoken word recognition, mental lexicon, psycholinguistic models, speech comprehension, Bayesian models, Network Science, discriminative learning

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