Multimodal Dialog Systems Research at Illinois

reportActive / Technical Report | Accession Number: ADP014021 | Open PDF

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.

Author(s):
Levinson, Stephen E. ; Huang, Thomas S. ; Hasegawa-johnson, Mark A. ; Chen, Ken ; Chu, Stephen
Author Organization(s):
MULTIMODAL DIALOG SYSTEMS RESEARCH AT ILLINOIS
Descriptive Note:
Conference paper
Supplementary Note:
Presented at Multi-modal Speech Recognition Workshop 2002, 10-12 Jun 2002, North Carolina A&T State University, Greensboro, NC, p32-36. This article is from ADA415344 Multi-modal Speech Recognition Workshop 2002
Pagination:
0005

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release

RECORD

Collection: TR
Identifying Numbers
Monitor Series:
DARPA
 Subject Terms
Joint Capability Areas:
JCA_5_Command and Control; JCA_1.2.7_Experimentation; JCA_1.3.2_Personnel Management
Modernization Areas:
AI and Machine Learning
Communities of Interest:
Autonomy
Descriptor(s):
*SPEECH RECOGNITION, ALGORITHMS, MULTIMODE, SYSTEMS ANALYSIS, SPEECH, WORKSHOPS, AUDIOVISUAL AIDS
Field(s)/Group(s):
Voice Communications
Keyword(s):
COMPONENT REPORT
Report Date:
2002 Jun 05
Creation Date:
2003 Aug 06