A model of prenatal acquisition of speech parameters

Bradley S. Seebach; Nathan Intrator; Phil Lieberman; Leon N. Cooper

doi:10.1073/pnas.91.16.7473

A model of prenatal acquisition of speech parameters

Bradley S. Seebach^*
, Nathan Intrator
, Phil Lieberman
, Leon N. Cooper

^*Corresponding author for this work

School of Computer Science and AI

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

An unsupervised neural network model inductively acquires the ability to distinguish categorically the stop consonants of English, in a manner consistent with prenatal and early postnatal auditory experience, and without reference to any specialized knowledge of linguistic structure or the properties of speech. This argues against the common assumption that linguistic knowledge, and speech perception in particular, cannot be learned and must therefore be innately specified.

Original language	English
Pages (from-to)	7473-7476
Number of pages	4
Journal	Proceedings of the National Academy of Sciences of the United States of America
Volume	91
Issue number	16
DOIs	https://doi.org/10.1073/pnas.91.16.7473
State	Published - 2 Aug 1994

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10.1073/pnas.91.16.7473

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title = "A model of prenatal acquisition of speech parameters",

abstract = "An unsupervised neural network model inductively acquires the ability to distinguish categorically the stop consonants of English, in a manner consistent with prenatal and early postnatal auditory experience, and without reference to any specialized knowledge of linguistic structure or the properties of speech. This argues against the common assumption that linguistic knowledge, and speech perception in particular, cannot be learned and must therefore be innately specified.",

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AB - An unsupervised neural network model inductively acquires the ability to distinguish categorically the stop consonants of English, in a manner consistent with prenatal and early postnatal auditory experience, and without reference to any specialized knowledge of linguistic structure or the properties of speech. This argues against the common assumption that linguistic knowledge, and speech perception in particular, cannot be learned and must therefore be innately specified.

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A model of prenatal acquisition of speech parameters

Abstract

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