Flexible mixed-initiative dialogue management using concept-level confidence measures of speech recognizer output
Kazunori Komatani, Tatsuya Kawahara · 2000
We present a method to realize flexible mixed-initiative dialogue, in which the system can make effective confirmation and guidance using concept-level confidence measures (CMs) derived from speech recognizer output in order to handle speech recognition errors. We define two concept-level CMs, which are on content-words and on semantic-attributes, 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. The strategy improved the interpretation accuracy by 11.5%. Moreover, the semantic-attribute CM is used to estimate user's intention and generates system-initiative guidances even when successful interpretation is not obtained.