Belief Network based disambiguation of object reference in spoken dialogue system for robot

Yoko Yamakata, Tatsuya Kawahara, Hiroshi G. Okuno

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

We are studying joint activity in which a remote robot finds an object by communicating with the user over a voice-only channel. We focus on how the robot disambiguates the reference of the uttered word or phrase to the target object. For example, by "cup", one may refer to a "teacup", a "coffee cup", or even a "glass" under some situations. This reference (hereafter, "object reference") is user-dependent. We confirm that a user model of object references is significant by conducting a survey of 12 subjects. In addition to ambiguity of object reference, actual systems should cope with two other sources of uncertainty in speech and image recognition. We present a Belief Network based probabilistic reasoning system to determine the object reference. The resulting system demonstrates that the number of interactions needed to find a common reference is reduced as the user model is refined.

本文言語English
ホスト出版物のタイトル7th International Conference on Spoken Language Processing, ICSLP 2002
出版社International Speech Communication Association
ページ177-180
ページ数4
出版ステータスPublished - 2002
外部発表はい
イベント7th International Conference on Spoken Language Processing, ICSLP 2002 - Denver, United States
継続期間: 2002 9 162002 9 20

Other

Other7th International Conference on Spoken Language Processing, ICSLP 2002
CountryUnited States
CityDenver
Period02/9/1602/9/20

ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language

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