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A framework for improving error detection and correction in spoken dialog systems
2016
Soft Computing - A Fusion of Foundations, Methodologies and Applications
One of the main problems which must be considered during the interaction with a spoken conversational interface is the propagation of errors through the different modules in the system. In this paper, we propose a novel framework to improve the error detection and correction processes in spoken conversational interfaces. The framework combines user behavior and error modeling to estimate the probability of the presence of errors in the user utterance. This estimation is considered as an
doi:10.1007/s00500-016-2290-z
fatcat:icfwutyuafeplalq2l3w4sv33u