Human-computer dialogue understanding hybrid system

Author

Aida-zade, Kamil ; Rustamov, Samir ; Mustafayev, Elshan ; Aliyeva, Nigar

Author_Institution

Inst. of Cybern., Baku, Azerbaijan

fYear

2012

fDate

2-4 July 2012

Firstpage

1

Lastpage

5

Abstract

The problem of designing a system for understanding user intention in human-computer dialogue is investigated in the article. Two different approaches have been suggested for solution of this problem: Hidden Markov and Neuro-Fuzzy models. Concrete object was selected for process of understanding user intention. The methods, which combines the using of hybrid neuro-fuzzy and hidden Markov models is offered. Mathematical algorithms and software of the system have been developed for automatically defining user intention in human-computer dialogue.

Keywords

fuzzy logic; hidden Markov models; human computer interaction; interactive systems; mathematical analysis; natural language interfaces; neural nets; software engineering; user modelling; hidden Markov model; human-computer dialogue system; hybrid system; mathematical algorithm; neuro-fuzzy model; software development; user intention understanding; Companies; Computers; Hidden Markov models; Reliability; Speech; Speech recognition; Training; dialogue systems; hidden markov model; learning user intention; neuro-fuzzy model; speech understanding;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovations in Intelligent Systems and Applications (INISTA), 2012 International Symposium on

Conference_Location

Trabzon

Print_ISBN

978-1-4673-1446-6

Type

conf

DOI

10.1109/INISTA.2012.6246939

Filename

6246939