Multimodal Dialog Systems Research at Illinois

Abstract

Multimodal dialog systems research at the University of Illinois seeks to develop algorithms and systems capable of robustly extracting and adaptively combining information about the speech and gestures of a nave user in a noisy environment.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 05, 2002
Accession Number
ADP014021

Entities

People

  • Ken Chen
  • Mark A. Hasegawa-johnson
  • Stephen Chu
  • Stephen E. Levinson
  • Thomas Huang

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Automated Speech Recognition
  • Bayesian Networks
  • Computer Languages
  • Computer Vision
  • Dialogue Systems
  • Hidden Markov Models
  • Human-Machine Interaction
  • Machine Learning
  • Markov Models
  • Neural Networks
  • Pattern Recognition
  • Probability
  • Probability Distributions
  • Recognition

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Neural Network Machine Learning.
  • Research Science/Academic Research