Article
A New Phono-Articulatory Feature Representation for Language Identification in a Discriminative Framework
Date
2011-09-10Registration in:
Revista Computación y Sistemas; Vol. 15 No. 1
1405-5546
Author
Núñez Cuadra, Oneisys
Calvo de Lara, José Ramón
Institutions
Abstract
Abstract. State of the Art language identification
methods are based on acoustic or phonetic features.
Recently, phono-articulatory features have been
included as a new speech characteristic that conveys
language information. Authors propose a new phono-
articulatory representation of speech in a discriminative
framework to identify languages. This simple
representation shows good results discriminating
between English and Spanish, using a reduced training
set of phono-articulatory trigrams vectors.