Title
Clarification questions to improve dialogue flow and speech recognition in spoken dialogue systems
Abstract
Within human-machine conversation, clarification is vital and may consist of various forms, as it is may by due to many differ- ent effects on different levels of communication. In this paper, we present a strategy for detecting situations where a need for clarification exists in a natural spoken dialogue system. We de- fine rule sets which enable us, via an anomaly analysis, to detect these critical situations. Through the use of such rule sets, we show that ist is possible to enhance the strategy in such a man- ner that more different situations are detected. In a user test, we evaluate the success of the strategy and show that strategies with explicit clarification improve the naturalness of human-machine interaction.
Year
Venue
Keywords
2005
INTERSPEECH
speech recognition
Field
DocType
Citations 
Computer science,Speech recognition,Artificial intelligence,Natural language processing
Conference
1
PageRank 
References 
Authors
0.36
5
3
Name
Order
Citations
PageRank
Ulf Krum110.36
Hartwig Holzapfel216412.24
Alex Waibel363431980.68