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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...

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Bibliographic Details
Published in:Cogsci
Main Authors: Räsänen, Okko, Nagamine, Tasha, Mesgarani, Nima
Format: Artigo
Language:Inglês
Published: 2016
Subjects:
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC5775908/
https://ncbi.nlm.nih.gov/pubmed/29359204
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