Sixth International Conference on Spoken Language Processing
(ICSLP 2000)

Beijing, China
October 16-20, 2000

Generating Effective Confirmation and Guidance Using Two-Level Confidence Measures for Dialogue Systems

Kazunori Komatani, Tatsuya Kawahara

School of Informatics, Kyoto University, Sakyo-ku, Kyoto, Japan

We present a method to generate effective confirmation and guidance using concept-level confidence measures (CM) derived from speech recognizer output in order to handle speech recognition errors. We define two conceptlevel CM, which are on content-words and on semanticattributes, using 10-best outputs of the speech recognizer and parsing with phrase-level grammars. Content-word CM is useful for selecting plausible interpretations. Less confident interpretations are given to confirmation process, and non-confident ones are rejected. The strategy improved the interpretation accuracy by 11.5%. Moreover, the semantic-attribute CM is used to estimate userís intention and generates system-initiative guidances even when successful interpretation is not obtained.


Full Paper

Bibliographic reference.  Komatani, Kazunori / Kawahara, Tatsuya (2000): "Generating effective confirmation and guidance using two-level confidence measures for dialogue systems", In ICSLP-2000, vol.2, 648.