Introducing Utterance Verification in Spoken Dialogue System to Improve Dynamic Help Generation for Novice Users

نویسندگان

  • Kazunori Komatani
  • Yuichiro Fukubayashi
  • Tetsuya Ogata
  • Hiroshi G. Okuno
چکیده

A method is presented that helps novice users understand the language expressions that a system can accept, even from unacceptable utterances made that may contain automatic speech recognition errors. We have developed a method that dynamically generates help messages, which can avoid further unacceptable utterances from being made, by estimating a users’ knowledge from their utterances. To improve the accuracy of the estimation, we developed a method to estimate a user’s knowledge from utterance verification results. This method estimates whether a user knows an utterance pattern that the system considers acceptable, and suppresses useless help messages from being generated.

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تاریخ انتشار 2007