Three phase verification for spoken dialog clarification

Authors:
Sangkeun Jung;Cheongjae Lee;Gary Geunbae Lee
Affiliations:
Pohang University of Science and Engineering, Pohang, Korea;Pohang University of Science and Engineering, Pohang, Korea;Pohang University of Science and Engineering, Pohang, Korea
Venue:
Proceedings of the 11th international conference on Intelligent user interfaces
Year:
2006

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Abstract

Spoken dialog tasks incur many errors including speech recognition errors, understanding errors, and even dialog management errors. These errors create a big gap between user's will and the system's understanding, and eventually result in a misinterpretation. To fill in the gap, people in human-to-human dialog try to clarify the major causes of the misunderstanding and selectively correct them. This paper presents a method for applying the human's clarification techniques to human-machine spoken dialog systems. To increase the error detection precision and error recovery efficiency for the clarification dialogs, error detection phase is organized into three systematic phases and a clarification expert is devised for recovering the errors using the three phase verification. The experiment results demonstrate that the three phase verification could effectively catch the word and utterance-level errors in order to increase the SLU (spoken language understanding) performance and the clarification experts can actually increase the dialog success rate and the dialog efficiency.