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Analyzing Distributional Learning of Phonemic Categories in Unsupervised Deep Neural Networks
Infants’ speech perception adapts to the phonemic categories of their native language, a process assumed to be driven by the distributional properties of speech. This study investigates whether deep neural networks (DNNs), the current state-of-the-art in distributional feature learning, are capable...
Gardado en:
| Publicado en: | Cogsci |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2016
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5775908/ https://ncbi.nlm.nih.gov/pubmed/29359204 |
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