Mi DSpace
Usuario
Contraseña
Please use this identifier to cite or link to this item: http://hdl.handle.net/UCSP/15909
Title: An improve to human computer interaction, recovering data from databases through spoken natural language
Authors: Florez Choque, Omar
Cuadros Vargas, Ernesto
Keywords: Computer keyboards;Data structures;Database systems;Intelligent systems;Mathematical models;Natural language processing systems;Self organizing maps;Hybrid Intelligent Systems;Spanish Natural Language;Speaker independence;Human computer interaction
Issue Date: 2007
metadata.dc.relation.uri: https://www.scopus.com/inward/record.uri?eid=2-s2.0-37249067629&partnerID=40&md5=b454b9b04a7eca1485d0c40416271ecb
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. © Springer-Verlag Berlin Heidelberg 2007.
URI: http://repositorio.ucsp.edu.pe/handle/UCSP/15909
ISBN: 9783540723929
ISSN: 3029743
Appears in Collections:Artículos de investigación

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.