Natural language understanding (2nd ed.)
Natural language understanding (2nd ed.)
PEGASUS: a spoken dialogue interface for on-line air travel planning
ISSD-93 Selected papers presented at the international symposium on Spoken dialogue
Multilingual spoken-language understanding in the MIT Voyager system
Speech Communication
Speech Communication - Special issue on interactive voice technology for telecommunication applications
Spoken Language Processing: A Guide to Theory, Algorithm, and System Development
Spoken Language Processing: A Guide to Theory, Algorithm, and System Development
Assessment of dialogue systems by means of a new simulation technique
Speech Communication
Spoken Dialogue Technology
ACM Transactions on Computer-Human Interaction (TOCHI)
ACM Transactions on Computer-Human Interaction (TOCHI)
Spoken dialogue management using probabilistic reasoning
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
The 1998 HTK system for transcription of conversational telephone speech
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 01
Fast reinforcement learning of dialog strategies
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
Dialogue management in the Mercury flight reservation system
ConversationalSys '00 Proceedings of the ANLP-NAACL 2000 Workshop on Conversational Systems
The Hidden Information State model: A practical framework for POMDP-based spoken dialogue management
Computer Speech and Language
Optimizing dialogue management with reinforcement learning: experiments with the NJFun system
Journal of Artificial Intelligence Research
Multiple resolution analysis for robust automatic speech recognition
Computer Speech and Language
A comparison between dialog corpora acquired with real and simulated users
SIGDIAL '09 Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Quality of Telephone-Based Spoken Dialogue Systems
Quality of Telephone-Based Spoken Dialogue Systems
Journal of Ambient Intelligence and Smart Environments - A software engineering perspective on smart applications for AmI
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This paper proposes a new technique to increase the robustness of spoken dialogue systems employing an automatic procedure that aims to correct frames incorrectly generated by the system's component that deals with spoken language understanding. To do this the technique carries out a training that takes into account knowledge of previous system misunderstandings. The correction is transparent for the user as he is not aware of some mistakes made by the speech recogniser and thus interaction with the system can proceed more naturally. Experiments have been carried out using two spoken dialogue systems previously developed in our lab: Saplen and Viajero, which employ prompt-dependent and prompt-independent language models for speech recognition. The results obtained from 10,000 simulated dialogues show that the technique improves the performance of the two systems for both kinds of language modelling, especially for the prompt-independent language model. Using this type of model the Saplen system increases sentence understanding by 19.54%, task completion by 26.25%, word accuracy by 7.53%, and implicit recovery of speech recognition errors by 20.3%, whereas for the Viajero system these figures increase by 14.93%, 18.06%, 6.98% and 15.63%, respectively.