Do Infants Really Learn Phonetic Categories?

Author:

Feldman Naomi H.1ORCID,Goldwater Sharon2,Dupoux Emmanuel34,Schatz Thomas1

Affiliation:

1. Department of Linguistics and UMIACS, University of Maryland, College Park, MD, USA

2. School of Informatics, University of Edinburgh, United Kingdom

3. Cognitive Machine Learning (ENS - EHESS - PSL Research University - CNRS - INRIA), Paris, France

4. Facebook A.I. Research, Paris, France

Abstract

Abstract Early changes in infants’ ability to perceive native and nonnative speech sound contrasts are typically attributed to their developing knowledge of phonetic categories. We critically examine this hypothesis and argue that there is little direct evidence of category knowledge in infancy. We then propose an alternative account in which infants’ perception changes because they are learning a perceptual space that is appropriate to represent speech, without yet carving up that space into phonetic categories. If correct, this new account has substantial implications for understanding early language development.

Funder

National Science Foundation

Economic and Social Research Council

James S. McDonnell Foundation

Agence Nationale pour la Recherche

Facebook AI Research

Publisher

MIT Press - Journals

Subject

Cognitive Neuroscience,Linguistics and Language,Developmental and Educational Psychology,Experimental and Cognitive Psychology

Reference194 articles.

1. Distributional learning of vowel categories is supported by prosody in infant-directed speech;Adriaans,2012

2. Prosodic exaggeration within infant-directed speech: Consequences for vowel learnability;Adriaans;Journal of the Acoustical Society of America,2017

3. A statistical basis for speech sound discrimination;Anderson;Language and Speech,2003

4. Modeling phonetic category learning from natural acoustic data;Antetomaso,2017

5. Using variability to guide dimensional weighting: Associative mechanisms in early word learning;Apfelbaum;Cognitive Science,2011

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