Analyzing temporal transition of real user's behaviors in a spoken dialogue system

Kazunori Komatani*, Tatsuya Kawahara, Hiroshi G. Okuno

*この研究の対応する著者

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Managing various behaviors of real users is indispensable for spoken dialogue systems to operate adequately in real environments. We have analyzed various users' behaviors using data collected over 34 months from the Kyoto City Bus Information System. We focused on "barge-in" and added barge-in rates to our analysis. Temporal transitions of users' behaviors, such as automatic speech recognition (ASR) accuracy, task success rates and barge-in rates, were initially investigated. We then examined the relationship between ASR accuracy and barge-in rates. Analysis revealed that the ASR accuracy of utterances inputted with barge-ins was lower because many novices, who were not accustomed to the timing when to utter, used the system. We also observed that the ASR accuracy of utterances with barge-ins differed based on the barge-in rates of individual users. The results indicate that the barge-in rate can be used as a novel user profile for detecting ASR errors.

本文言語English
ホスト出版物のタイトルInternational Speech Communication Association - 8th Annual Conference of the International Speech Communication Association, Interspeech 2007
ページ1837-1840
ページ数4
3
出版ステータスPublished - 2007
外部発表はい
イベント8th Annual Conference of the International Speech Communication Association, Interspeech 2007 - Antwerp
継続期間: 2007 8月 272007 8月 31

Other

Other8th Annual Conference of the International Speech Communication Association, Interspeech 2007
CityAntwerp
Period07/8/2707/8/31

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • ソフトウェア
  • モデリングとシミュレーション
  • 言語学および言語
  • 通信

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