Repairing conversational misunderstandings and non-understandings
ISSD-93 Selected papers presented at the international symposium on Spoken dialogue
Field trial evaluations of two different information inquiry systems
Speech Communication - Special issue on interactive voice technology for telecommunication applications (IVITA '96)
User Errors in Spoken Human-Machine Dialogue
ECAI '96 Workshop on Dialogue Processing in Spoken Language Systems
Specialized Language Models Using Dialogue Predictions
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 2 - Volume 2
A robust system for natural spoken dialogue
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
Using XML for Representing Domain Dependent Knowledge in Dialogos
TSD '01 Proceedings of the 4th International Conference on Text, Speech and Dialogue
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Interactions with spoken language systems may present breakdowns that are due to errors in the acoustic decoding of user utterances. Some of these errors have important consequences in reducing the naturalness of human-machine dialogues. In this paper we identify some typologies of recognition errors that cannot be recovered during the syntactico-semantic analysis, but that may be effectively approached at the dialogue level. We will describe how non-understanding and the effects of misrecognition are dealt with by Dialogos, a realtime spoken dialogue system that allows users to access a database of railway information by telephone. We will discuss the importance of supporting confirmation turns, and clarification and correction sub-dialogues. We will show the positive effects of robust dialogue management and dialogue state dependent language modeling, by taking into account both the recognition and understanding performance, and the success rate of dialogue transactions.