非言語情報に基づく受話者推定機構を用いた多人数会話システム

• 中野 有紀子

  成蹊大学理工学部情報科学科

• 馬場 直哉

  成蹊大学大学院理工学研究科（現在は，三菱電機株式会社に勤務．）

• 黄 宏軒

  立命館大学情報理工学部情報コミュニケーション学科

• 林 佑樹

  成蹊大学理工学部情報科学科

書誌事項

タイトル別名

• A Multiparty Conversation System with an Addressee Identification Mechanism based on Nonverbal Information

抄録

In order to build a conversational agent that can control multiparty conversations with multiple users, the system is required to be able to identify who is the addressee for the current floor and control the floor based on the addressee hood information. This study proposes an addressee estimation mechanism that can estimate the addressee based on speech and head direction information. Then, we implement an autonomous multiparty conversational agent by incorporating the addressee estimation mechanism into a multiparty conversation system consisting of ASR, language understanding, conversation management, and generation mechanism. The results of our system evaluation experiment show that F-measure for judgement of addrsssing to the agent was 0.8 and to the partner was 0.56, confirming that the proposed multiparty conversational agent successfully controls the conversations with users.

収録刊行物

• 人工知能学会論文誌

  人工知能学会論文誌 29 (1), 69-79, 2014

  一般社団法人 人工知能学会

キーワード

• multiparty conversation system
• addressee estimation
• nonverbal information

詳細情報

• CRID: 1390282680085206784
• NII論文ID: 130003382440
• DOI: 10.1527/tjsai.29.69
• BIBCODE: 2014TJSAI..29...69N
• ISSN: 13468030
• ISSN: 13460714
• Web Site: https://www.jstage.jst.go.jp/article/tjsai/29/1/29_H-DSD417/_pdf
• 本文言語コード: ja
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• 抄録ライセンスフラグ: 使用不可