TY - JOUR
T1 - A model of prenatal acquisition of speech parameters
AU - Seebach, Bradley S.
AU - Intrator, Nathan
AU - Lieberman, Phil
AU - Cooper, Leon N.
PY - 1994/8/2
Y1 - 1994/8/2
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=0028018103&partnerID=8YFLogxK
U2 - 10.1073/pnas.91.16.7473
DO - 10.1073/pnas.91.16.7473
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C2 - 8052606
AN - SCOPUS:0028018103
SN - 0027-8424
VL - 91
SP - 7473
EP - 7476
JO - Proceedings of the National Academy of Sciences of the United States of America
JF - Proceedings of the National Academy of Sciences of the United States of America
IS - 16
ER -