SciELO - Scientific Electronic Library Online

 
vol.15 issue1Towards Raster Spatial Analysis Methods at the Semantic LevelCombining Dissimilarities for Three-Way Data Classification author indexsubject indexsearch form
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • Have no similar articlesSimilars in SciELO

Share


Computación y Sistemas

Print version ISSN 1405-5546

Abstract

NUNEZ CUADRA, Oneisys  and  CALVO DE LARA, José Ramón. A New Phono-Articulatory Feature Representation for Language Identification in a Discriminative Framework. Comp. y Sist. [online]. 2011, vol.15, n.1, pp.107-115. ISSN 1405-5546.

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 pho-no-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.

Keywords : Phonetic features; articulatory features; language recognition and support vector machines.

        · abstract in Spanish     · text in English     · English ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License