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.
Improving Human Computer Interaction through Spoken Natural Language
01.04.2007
764227 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Human-Robot Interaction Through Gesture-Free Spoken Dialogue
British Library Online Contents | 2004
|Effect of Spoken Dialogue System Using Natural Language Understanding
British Library Online Contents | 2015
|Navigation-Orientated Natural Spoken Language Understanding for Intelligent Vehicle Dialogue
British Library Conference Proceedings | 2017
|Speech recognition for Japanese spoken language
IEEE | 1994
|