Human-computer dialogue understanding hybrid system

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 use...

Full description

Saved in:
Bibliographic Details
Main Authors: Aida-zade, K., Rustamov, S., Mustafayev, E., Aliyeva, N.
Format: Conference Proceeding
Language:English
Subjects:
Companies
Computers
dialogue systems
hidden markov model
Hidden Markov models
learning user intention
neuro-fuzzy model
Reliability
Speech
Speech recognition
speech understanding
Training
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
DOI:10.1109/INISTA.2012.6246939