In our barge-in-able spoken dialogue system, the user's behaviors such as barge-in timing and utterance expressions vary according to his/her characteristics and situations. The system adapts to the behaviors by modeling them. We analyzed 1584 utterances collected by our systems of quiz and news-listing tasks and showed that ratio of using referential expressions depends on individual users and average lengths of listed items. This tendency was incorporated as a prior probability into our method and improved the identification accuracy of the user's intended items.
Bibliographic reference. Matsuyama, Kyoko / Komatani, Kazunori / Takeda, Ryu / Takahashi, Toru / Ogata, Tetsuya / Okuno, Hiroshi G. (2010): "Analyzing user utterances in barge-in-able spoken dialogue system for improving identification accuracy", In INTERSPEECH-2010, 3050-3053.