Using Natural Language Processing and discourse Features to Identify Understanding Errors
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Using model trees for evaluating dialog error conditions based on acoustic information
Proceedings of the 1st ACM international workshop on Human-centered multimedia
A pattern language for error management in voice user interfaces
Proceedings of the 15th European Conference on Pattern Languages of Programs
Hi-index | 0.00 |
Speech recognition errors are inevitable in a speech dialog system. This paper presents an error handling method based on correction grammars which recognize the correction utterances which follow a recognition error. Correction grammars are dynamically created from existing grammars and a set of correction templates. We also describe a prototype dialog system which incorporates this error handling method, and provide empirical evidence that this method can improve dialog success rate and reduce the number of dialog turns required for error recovery.