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Machine Learning–based Analysis of English Lateral Allophones Cover

Machine Learning–based Analysis of English Lateral Allophones

International Journal of Applied Mathematics and Computer Science
Volume 29 (2019): Issue 2 (June 2019)
By: Magdalena Piotrowska,  Gražina Korvel,  Bożena Kostek,  Tomasz Ciszewski and  Andrzej Cżyzewski  
Open Access
|Jul 2019

Authors

Magdalena Piotrowska

mplewa@multimed.org

Multimedia Systems Department, Gdansk University of Technology, Gdansk, Poland

Gražina Korvel

grazina.korvel@mii.vu.lt

Institute of Data Science and Digital Technologies, Vilnius University, Vilnius, Lithuania

Bożena Kostek

bokostek@audioacoustics.org

Laboratory of Audio Acoustics, Gdansk University of Technology, Gdansk, Poland

Tomasz Ciszewski

angtc@ug.edu.pl

Multimedia Systems Department, Gdansk University of Technology, Gdansk, Poland

Andrzej Cżyzewski

andcz@multimed.org

Multimedia Systems Department, Gdansk University of Technology, Gdansk, Poland
DOI: https://doi.org/10.2478/amcs-2019-0029 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 393 - 405
Published on: Jul 4, 2019
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
allophones,
audio features,
artificial neural networks (ANNs),
k-nearest neighbor (kNN),
self-organizing map (SOM)
Related subjects:
Mathematics,
Applied mathematics

© 2019 Magdalena Piotrowska, Gražina Korvel, Bożena Kostek, Tomasz Ciszewski, Andrzej Cżyzewski, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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