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A model of prenatal acquisition of speech parameters.

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PubMed Central1994-08-02 更新2026-05-16 收录
下载链接:
https://pmc.ncbi.nlm.nih.gov/articles/PMC44423/
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资源简介:
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. IMAGES:
提供机构:
National Academy of Sciences
创建时间:
1994-08-02
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