A classifier model for detecting pronunciation errors regarding the Nasa Yuwe language's 32 vowels

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Autore principale: R. C. Naranjo
Natura: Artículo científico
Lingua:en
Pubblicazione: Universidad Nacional de Colombia 2012
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author R. C. Naranjo
author_facet R. C. Naranjo
contents A classifier model for detecting pronunciation errors regarding the Nasa Yuwe language's 32 vowels R. C. Naranjo G. I. Alvarez Ingeniería computer Classifier model Nasa Yuwe language pattern recognition pronunciation correction The Nasa Yuwe language has 32 oral and nasal vowels thereby leading to one being used instead of the other; such confusion can change the meaning of the spoken word in Nasa Yuwe. A set of classifier models have been developed to support correct learning of this language which is in danger of extinction aimed at detecting confusion in the pronunciation of the 32 vowels; about 85% were obtained after experimenting with a variety of linear and nonlinear classifiers, rates of sensitivity, specificity and accuracy. A support software prototype was designed with these trained classifiers for the correct pronunciation of the language´s vowels. 2012 artículo científico 0120-5609 https://www.redalyc.org/articulo.oa?id=64323232014 en http://www.redalyc.org/revista.oa?id=643 Ingeniería e Investigación application/pdf Universidad Nacional de Colombia Ingeniería e Investigación (Colombia) Num.2 Vol.32
format Artículo científico
id redalyc_64323232014
institution Redalyc
language en
publishDate 2012
publisher Universidad Nacional de Colombia
spellingShingle A classifier model for detecting pronunciation errors regarding the Nasa Yuwe language's 32 vowels
R. C. Naranjo
Ingeniería
computer
Classifier model
Nasa Yuwe language
pattern recognition
pronunciation correction
A classifier model for detecting pronunciation errors regarding the Nasa Yuwe language's 32 vowels R. C. Naranjo G. I. Alvarez Ingeniería computer Classifier model Nasa Yuwe language pattern recognition pronunciation correction The Nasa Yuwe language has 32 oral and nasal vowels thereby leading to one being used instead of the other; such confusion can change the meaning of the spoken word in Nasa Yuwe. A set of classifier models have been developed to support correct learning of this language which is in danger of extinction aimed at detecting confusion in the pronunciation of the 32 vowels; about 85% were obtained after experimenting with a variety of linear and nonlinear classifiers, rates of sensitivity, specificity and accuracy. A support software prototype was designed with these trained classifiers for the correct pronunciation of the language´s vowels. 2012 artículo científico 0120-5609 https://www.redalyc.org/articulo.oa?id=64323232014 en http://www.redalyc.org/revista.oa?id=643 Ingeniería e Investigación application/pdf Universidad Nacional de Colombia Ingeniería e Investigación (Colombia) Num.2 Vol.32
title A classifier model for detecting pronunciation errors regarding the Nasa Yuwe language's 32 vowels
topic Ingeniería
computer
Classifier model
Nasa Yuwe language
pattern recognition
pronunciation correction
url https://www.redalyc.org/articulo.oa?id=64323232014