Resumen

CAMACHO, Francisco  y  LABRANDERO, Juan. Redes neuronales convolucionales aplicadas a la traducción del lenguaje verbal español al lenguaje de señas Boliviano: Convolutionary Neuronal Networks Applied to the Translation of the Verbal Spanish Language to the Bolivian Sign Language. Rev. Cien. Tec. In. [online]. 2016, vol.12, n.13, pp.755-762. ISSN 2225-8787.

It has been used convolutional neural networks to interpret sounds emitted by people, later translated into Bolivian sign language, the Fourier transform and the Mel scales were used to create training patterns, with different sizes considering single words and Spanish phrases and a convolutional neural network for recognition. The training of the neural network considered all the sizes of patterns in order to improve the filtering of the captured voice before applying the recognition process. The interpretation of the translation used the sign language and the Bolivian sign language and its visual representation was realized through animations in third dimension. The effectiveness of the translation was validated through an experiment with the voluntary and authorized participation of inmates of the audiological institute inthe city of Sucre.

Palabras clave : Convolutional neural networks; Voice Recognition; Voice translation; Bolivian Signal language.

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