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The role of prosodic boundaries in word discovery: Evidence from a computational model
Author(s) -
Bogdan Ludusan,
Emmanuel Dupoux
Publication year - 2016
Publication title -
the journal of the acoustical society of america
Language(s) - English
Resource type - Journals
eISSN - 1520-8524
pISSN - 0001-4966
DOI - 10.1121/1.4954652
Subject(s) - computer science , word (group theory) , natural language processing , component (thermodynamics) , speech recognition , artificial intelligence , homogeneity (statistics) , linguistics , machine learning , physics , philosophy , thermodynamics
This study aims to quantify the role of prosodic boundaries in early language acquisition using a computational modeling approach. A spoken term discovery system that models early word learning was used with and without a prosodic component on speech corpora of English, Spanish, and Japanese. The results showed that prosodic information induces a consistent improvement both in the alignment of the terms to actual word boundaries and in the phonemic homogeneity of the discovered clusters of terms. This benefit was found also when automatically discovered prosodic boundaries were used, boundaries which did not perfectly match the linguistically defined ones.

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