A New Phono-Articulatory Feature Representation for Language Identification in a Discriminative Framework

dc.creatorNúñez Cuadra, Oneisys
dc.creatorCalvo de Lara, José Ramón
dc.date.accessioned2013-04-09T22:30:38Z
dc.date.available2013-04-09T22:30:38Z
dc.date.created2013-04-09T22:30:38Z
dc.date.issued2011-09-10
dc.identifierRevista Computación y Sistemas; Vol. 15 No. 1
dc.identifier1405-5546
dc.identifierhttp://www.repositoriodigital.ipn.mx/handle/123456789/14972
dc.description.abstractAbstract. 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.
dc.languageen_US
dc.publisherRevista Computación y Sistemas; Vol. 15 No.1
dc.relationRevista Computación y Sistemas;Vol. 15 No. 1
dc.subjectKeywords. Phonetic features, articulatory features, language recognition and support vector machines.
dc.titleA New Phono-Articulatory Feature Representation for Language Identification in a Discriminative Framework
dc.typeArticle


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