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Please use this identifier to cite or link to this item: http://hdl.handle.net/UCSP/15913
Title: Improving human computer interaction through spoken natural language
Authors: Florez Choque, Omar
Cuadros Vargas, Ernesto
Keywords: Genetic algorithms;Intelligent systems;Interactive computer systems;Mathematical models;Natural language processing systems;Self organizing maps;Speech communication;Computer interaction;Hybrid Intelligent Systems;Natural language speaking;Human computer interaction
Issue Date: 2007
metadata.dc.relation.uri: https://www.scopus.com/inward/record.uri?eid=2-s2.0-34548751882&doi=10.1109%2fCIISP.2007.369193&partnerID=40&md5=1d6d7bae4985501be2e292f6f264cc2a
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. © 2007 IEEE.
URI: http://repositorio.ucsp.edu.pe/handle/UCSP/15913
ISBN: 9781424407071
Appears in Collections:Artículos de investigación

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