Sixth International Conference on Spoken Language Processing
(ICSLP 2000)

Beijing, China
October 16-20, 2000

Dialogue Management Based on Inferred Behavioral Goal - Improving the Accuracy of Understanding by Dialogue Context -

Keisuke Watanabe, Yasushi Ishikawa

Information Technology R&D Center, MITSUBISHI Electric Corporation, Kamakura, Kanagawa, Japan

A dialogue management method for a speech-based interactive system is described. The construction of an effective spoken dialogue system that has unrestricted input requires user-initiative dialogue management techniques. In order to realize user-initiative dialogue, however, the system must basically accept all sentences included in its language model for recognition. That creates the problem of lower recognition accuracy, because of the weaker constraints with respect to speech understanding. We have thus proposed a method for scoring the appropriateness for the dialogue context to each of the N-best speech understanding results. In this method, the userís behavioral goal is inferred from a history of utterances and a dialogue context score is calculated for each of the N-best candidates based on transition probabilities of the behavioral goals. According to the results of preliminary evaluation experiments using a dialogue system focusing on a task of making hotel reservations, we succeeded in reducing the error rate (misunderstandings in acoustic scores only) to 66% for 15 sentences.

Full Paper

Bibliographic reference.  Watanabe, Keisuke / Ishikawa, Yasushi (2000): "Dialogue management based on inferred behavioral goal - improving the accuracy of understanding by dialogue context -", In ICSLP-2000, vol.2, 919-922.