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Computación y Sistemas

versão impressa ISSN 1405-5546

Resumo

NUNEZ CUADRA, Oneisys  e  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.

Palavras-chave : Phonetic features; articulatory features; language recognition and support vector machines.

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