@inproceedings{ba2b20bae48d4db1a886d082a065ae06,
title = "Analyzing user utterances in barge-in-able spoken dialogue system for improving identification accuracy",
abstract = "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.",
keywords = "Barge-in, Spoken dialogue systems, User characteristics, Utterance timing",
author = "Kyoko Matsuyama and Kazunori Komatani and Ryu Takeda and Toru Takahashi and Tetsuya Ogata and Okuno, {Hiroshi G.}",
year = "2010",
language = "English",
series = "Proceedings of the 11th Annual Conference of the International Speech Communication Association, INTERSPEECH 2010",
publisher = "International Speech Communication Association",
pages = "3050--3053",
booktitle = "Proceedings of the 11th Annual Conference of the International Speech Communication Association, INTERSPEECH 2010",
}