Three phase verification for spoken dialog clarification

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 a...

• Type: Conference
• Year: 2006
• Where: IUI
• Authors: Sangkeun Jung, Cheongjae Lee, Gary Geunbae Lee
• Keywords: Clarification Expert, Dialog, IUI 2006, Software Engineering, Spoken Dialog