{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00230910","sets":["6504:11436:11444"]},"path":["11444"],"owner":"44499","recid":"230910","title":["ハイブリッド環境下のコラボレーションを抽出するIoTバッジを用いた話者検出に関する一検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"dcb8e42f-9420-40aa-ae28-5b372169643b"},"_deposit":{"id":"230910","pid":{"type":"depid","value":"230910","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"ハイブリッド環境下のコラボレーションを抽出するIoTバッジを用いた話者検出に関する一検討","author_link":["622722","622719","622718","622723","622720","622721","622724"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ハイブリッド環境下のコラボレーションを抽出するIoTバッジを用いた話者検出に関する一検討"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"コンピュータと人間社会","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2023-02-16","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":"阪大"},{"subitem_text_value":"阪大"},{"subitem_text_value":"静岡大"},{"subitem_text_value":"静岡大"},{"subitem_text_value":"阪大"},{"subitem_text_value":"阪大"},{"subitem_text_value":"阪大"}]},"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/230910/files/IPSJ-Z85-7ZJ-02.pdf","label":"IPSJ-Z85-7ZJ-02.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-7ZJ-02.pdf","filesize":[{"value":"190.5 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"797c3ea1-aa27-4621-87e9-ab91484ae659","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"藤原, 拓也"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"山口, 隼平"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"大島, 律子"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"大島, 純"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"藤橋, 卓也"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"猿渡, 俊介"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"渡辺, 尚"}],"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":"ハイブリッド協調学習とは，学習者らがハイブリッド環境下で協調 (コラボレーション) しながら問題解決に取り組むアフターコロナの時代に向けた学習形態である．ハイブリッド協調学習の分析をサポートする一手法としてIoTバッジを用いた自動話者検出技術があげられる．しかしながら，ハイブリッド環境下ではスピーカから流れてくる話者の声がノイズとなって正確な話者検出を妨げてしまう．本稿では，ハイブリッド学習環境に対応するIoTバッジを用いた話者検出技術を提案することでハイブリッド環境下での高精度話者検出が実現できることを示した．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"754","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"753","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":230910,"updated":"2025-01-19T10:57:14.416344+00:00","links":{},"created":"2025-01-19T01:30:57.688524+00:00"}