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View all- Yu D(2013)Clarification Question Generation for Speech Recognition Error Recovery Using Monolingual SMTAdvanced Materials Research10.4028/www.scientific.net/AMR.756-759.1072756-759(1072-1077)Online publication date: Sep-2013
In this paper, we present a probabilistic framework for goal-driven spoken dialog systems. A new dynamic stochastic state (DS-state) is then defined to characterize the goal set of a dialog state at different stages of the dialog process. Furthermore, ...
The paper presents Let'sFly spoken dialogue system intended for natural human-computer interaction via telephone lines in travel planning domain. The system uses ASR, keyword spotting and TTS methods for continuous Russian speech and a dialogue manager ...
In this paper, we present a statistical approach for the development of a dialog manager and for learning optimal dialog strategies. This methodology is based on a classification procedure that considers all of the previous history of the dialog to ...
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