Machine Learning–based Analysis of English Lateral Allophones

Machine Learning–based Analysis of English Lateral Allophones

Automatic classification methods, such as artificial neural networks (ANNs), the k-nearest neighbor (kNN) and self-organizing maps (SOMs), are applied to allophone analysis based on recorded speech. A list of 650 words was created for that purpose, containing positionally and/or contextually conditi...

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Bibliographic Details
Main Authors: Piotrowska Magdalena, Korvel Gražina, Kostek Bożena, Ciszewski Tomasz, Cżyzewski Andrzej
Format: Article
Language:English
Published: Sciendo 2019-06-01
Series:International Journal of Applied Mathematics and Computer Science
Subjects:
allophones
audio features
artificial neural networks (anns)
k-nearest neighbor (knn)
self-organizing map (som)
Online Access:https://doi.org/10.2478/amcs-2019-0029

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