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An Improve to Human Computer Interaction, Recovering Data from Databases Through Spoken Natural Language

  • Omar Florez-Choque
  • Ernesto Cuadros-Vargas
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4492)

Abstract

The fastest and most straightforward way of communication for mankind is the voice. Therefore, the best way to interact with computers should be the voice too. That is why at the moment men are searching new ways to interact with computers. This interaction is improved if the words spoken by the speaker are organized in Natural Language.

In this article, it is proposed a model to recover information from databases through queries in Spanish Natural Language using the voice as the way of communication. This model incorporates a Hybrid Intelligent System based on Genetic Algorithms and a Kohonen Self-Organizing Map (SOM) to recognize the present phonemes in a word through time. This approach allows us to remake up a word with speaker independence. Furthermore, it is proposed the use of a compiler with type 2 grammar according to the Chomsky Hierarchy to support the syntactic and semantic structure in Spanish language. Our experiments suggest that the Spoken Natural Language improves notably the Human-Computer interaction when compared with traditional input methods such as: mouse or keybord.

Keywords

Speech Recognition Human Computer Interaction Multi Layer Perceptron Speech Recognition System Learn Vector Quantization 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Omar Florez-Choque
    • 1
  • Ernesto Cuadros-Vargas
    • 1
  1. 1.National University of San Agustin, Arequipa-Peru, San Pablo Catholic University, ArequipaPeru

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