
Speech Perception and Spoken Word Recognition
Description
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The book:
Focusses on the state of the art in the study of speech perception and spoken word recognition
Discusses the interplay between behavioural and cognitive neuroscience evidence, and between adult and developmental research
Evaluates key theories in the field and relates them to recent empirical advances, including the relationship between speech perception and speech production, meaning representation and real-time activation, and bilingual and monolingual spoken word recognition
Examines emerging areas of study such as word learning and time-course of memory consolidation, and how the science of human speech perception can help computer speech recognition
Overall this book presents a renewed focus on theoretical and developmental issues, as well as a multifaceted and broad review of the state of research, in speech perception and spoken word recognition. Particularly interested readers will be researchers of psycholinguistics and adjoining fields as well as advanced undergraduate and postgraduate students.
Reviews / Votes
'I think it's an absolutely top-notch proposal and we should definitely say yes. I know Gareth well, and he's a world expert and big name in the area, so we're lucky to have him.' - Trevor Harley, Series Editor'The list of proposed contributors (the majority of whom have agreed to contribute) is outstanding. I expect it would be a well-used library book.' - Jeffrey Bowers, Professor of Psychology, University of Bristol, UK
'I think that the chapters in the proposed volume are very likely to succeed in presenting a new synthesis of recent behavioural and cognitive neuroscience research on speech perception and spoken word recognition. [...] The current proposal is interesting, exciting and original.' - Matt Davis, Programme Leader - Hearing, Speech and Language, University of Cambridge, UK
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Persons
Jelena Mirkovic is Senior Lecturer in Psychology at York St John University, UK, and an Honorary Fellow at the University of York, UK.
Content
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File format: PDF
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