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

Kyoko Matsuyama, Kazunori Komatani, Ryu Takeda, Toru Takahashi, Tetsuya Ogata, Hiroshi G. Okuno

Research output: Contribution to conferencePaper

3 Citations (Scopus)

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.

Original languageEnglish
Pages3050-3053
Number of pages4
Publication statusPublished - 2010 Dec 1
Externally publishedYes
Event11th Annual Conference of the International Speech Communication Association: Spoken Language Processing for All, INTERSPEECH 2010 - Makuhari, Chiba, Japan
Duration: 2010 Sep 262010 Sep 30

Conference

Conference11th Annual Conference of the International Speech Communication Association: Spoken Language Processing for All, INTERSPEECH 2010
CountryJapan
CityMakuhari, Chiba
Period10/9/2610/9/30

Keywords

  • Barge-in
  • Spoken dialogue systems
  • User characteristics
  • Utterance timing

ASJC Scopus subject areas

  • Language and Linguistics
  • Speech and Hearing

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    Matsuyama, K., Komatani, K., Takeda, R., Takahashi, T., Ogata, T., & Okuno, H. G. (2010). Analyzing user utterances in barge-in-able spoken dialogue system for improving identification accuracy. 3050-3053. Paper presented at 11th Annual Conference of the International Speech Communication Association: Spoken Language Processing for All, INTERSPEECH 2010, Makuhari, Chiba, Japan.