A model of prenatal acquisition of speech parameters.
AUTOR(ES)
Seebach, B S
RESUMO
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.
ACESSO AO ARTIGO
http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=44423Documentos Relacionados
- A linear Ricardo model with varying parameters.
- Definitions and nomenclature of nucleic acid structure parameters.
- Body Tumor CT Perfusion Protocols: Optimization of Acquisition Scan Parameters in a Rat Tumor Model
- Modelo de desgaste oxidativo baseado em parâmetros termodinâmicos.
- Atypical Yersinia enterocolitica: clinical and epidemiological parameters.