Show Summary Details

Page of

PRINTED FROM OXFORD HANDBOOKS ONLINE ( © Oxford University Press, 2018. All Rights Reserved. Under the terms of the licence agreement, an individual user may print out a PDF of a single chapter of a title in Oxford Handbooks Online for personal use (for details see Privacy Policy and Legal Notice).

date: 26 February 2020

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

Access to the complete content on Oxford Handbooks Online requires a subscription or purchase. Public users are able to search the site and view the abstracts and keywords for each book and chapter without a subscription.

Please subscribe or login to access full text content.

If you have purchased a print title that contains an access token, please see the token for information about how to register your code.

For questions on access or troubleshooting, please check our FAQs, and if you can''t find the answer there, please contact us.