Sciweavers

45 search results - page 5 / 9
» Multi-feature Error Detection in Spoken Dialogue Systems
Sort
View
LRE
2006
173views more  LRE 2006»
14 years 9 months ago
Automatic induction of language model data for a spoken dialogue system
When building a new spoken dialogue application, large amounts of domain specific data are required. This paper addresses the issue of generating in-domain training data when litt...
Chao Wang, Grace Chung, Stephanie Seneff
COLING
2002
14 years 9 months ago
Data-driven Classification of Linguistic Styles in Spoken Dialogues
Language users have individual linguistic styles. A spoken dialogue system may benefit from adapting to the linguistic style of a user in input analysis and output generation. To ...
Thomas Portele
98
Voted
ICASSP
2008
IEEE
15 years 4 months ago
Bayesian update of dialogue state for robust dialogue systems
This paper presents a new framework for accumulating beliefs in spoken dialogue systems. The technique is based on updating a Bayesian Network that represents the underlying state...
Blaise Thomson, Jost Schatzmann, Steve Young
90
Voted
NAACL
2004
14 years 11 months ago
Predicting Emotion in Spoken Dialogue from Multiple Knowledge Sources
We examine the utility of multiple types of turn-level and contextual linguistic features for automatically predicting student emotions in human-human spoken tutoring dialogues. W...
Katherine Forbes-Riley, Diane J. Litman
IUI
2006
ACM
15 years 3 months ago
Three phase verification for spoken dialog clarification
Spoken dialog tasks incur many errors including speech recognition errors, understanding errors, and even dialog management errors. These errors create a big gap between user'...
Sangkeun Jung, Cheongjae Lee, Gary Geunbae Lee