{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00196904","sets":["6504:9795:9801"]},"path":["9801"],"owner":"6748","recid":"196904","title":["移行適格場の予測に基づくターンテイキング予測"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-02-28"},"_buckets":{"deposit":"952574d7-4b11-4e3b-a412-accd89d8e62d"},"_deposit":{"id":"196904","pid":{"type":"depid","value":"196904","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"移行適格場の予測に基づくターンテイキング予測","author_link":["471823","471821","471824","471822"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"移行適格場の予測に基づくターンテイキング予測"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2019-02-28","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"京大"},{"subitem_text_value":"京大"},{"subitem_text_value":"京大"},{"subitem_text_value":"京大"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/196904/files/IPSJ-Z81-2T-04.pdf","label":"IPSJ-Z81-2T-04.pdf"},"date":[{"dateType":"Available","dateValue":"2019-05-28"}],"format":"application/pdf","filename":"IPSJ-Z81-2T-04.pdf","filesize":[{"value":"269.9 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"e4b0ac3a-7ddc-44ff-9e98-df00b76fd3cb","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2019 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"原, 康平"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"井上, 昂治"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"高梨, 克也"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"河原, 達也"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"音声対話システムが円滑な対話を実現するためには，次に話者が交替するか否か（ターンテイキング）の予測が重要である．本研究では，ターンテイキングの予測において，移行適格場 （TRP）の情報を考慮する．TRPとは，話者交替が起こりうる箇所を指し，ターンテイキングのふるまいは，TRPか否かに依存すると考えらえる． TRPは客観的に定義できるため，予測が比較的容易である．提案モデルは，ニューラルネットに基づく二段階の予測を行う．はじめに，TRPの予測を行う．次に，TRP予測の結果を用いてターンテイキングの予測を行う．評価実験により，TRPの情報を用いることで，ターンテイキングの予測精度が向上することを確認した．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"358","bibliographic_titles":[{"bibliographic_title":"第81回全国大会講演論文集"}],"bibliographicPageStart":"357","bibliographicIssueDates":{"bibliographicIssueDate":"2019-02-28","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2019"}]},"relation_version_is_last":true,"weko_creator_id":"6748"},"id":196904,"updated":"2025-01-19T22:33:19.073018+00:00","links":{},"created":"2025-01-19T01:01:24.035643+00:00"}