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INTERSPEECH
2010

Analyzing user utterances in barge-in-able spoken dialogue system for improving identification accuracy

13 years 5 months ago
Analyzing user utterances in barge-in-able spoken dialogue system for improving identification accuracy
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.
Kyoko Matsuyama, Kazunori Komatani, Ryu Takeda, To
Added 19 May 2011
Updated 19 May 2011
Type Journal
Year 2010
Where INTERSPEECH
Authors Kyoko Matsuyama, Kazunori Komatani, Ryu Takeda, Toru Takahashi, Tetsuya Ogata, Hiroshi G. Okuno
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