{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00232832","sets":["1164:5064:11558:11559"]},"path":["11559"],"owner":"44499","recid":"232832","title":["複数人による音楽アノテーション結果の項目反応理論に基づく統合と機械学習への応用"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-02"},"_buckets":{"deposit":"de500467-0256-4a45-b36f-dd417ac8b54a"},"_deposit":{"id":"232832","pid":{"type":"depid","value":"232832","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"複数人による音楽アノテーション結果の項目反応理論に基づく統合と機械学習への応用","author_link":["631156","631155"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"複数人による音楽アノテーション結果の項目反応理論に基づく統合と機械学習への応用"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"学習データ","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2024-03-02","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"産業技術総合研究所"},{"subitem_text_value":"産業技術総合研究所"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"National Institute of Advanced Industrial Science and Technology (AIST)","subitem_text_language":"en"},{"subitem_text_value":"National Institute of Advanced Industrial Science and Technology (AIST)","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/232832/files/IPSJ-MUS24139015.pdf","label":"IPSJ-MUS24139015.pdf"},"date":[{"dateType":"Available","dateValue":"2026-03-02"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MUS24139015.pdf","filesize":[{"value":"2.1 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"21"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"dec73bad-36c6-4c40-93c8-fc76134b2499","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"中野, 倫靖"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"後藤, 真孝"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10438388","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8752","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"ある楽曲やその一部分に対して，人間によるアノテーション（ラベル・タグ付け，評価）を行うことは，音楽情報処理研究において重要なタスクの一つである．例えば，セマンティックタグを付与したり，歌唱力の評価結果を付与したりすることで，それらを自動推定する機械学習モデルの学習データに用いることができる．しかし，「音楽に対する人間によるアノテーション」という点においては，アノテータの能力や主観に影響され，判断に曖昧性があることから，複数人でアノテーションした結果を統合して扱うことが多い．本稿では，そのような複数人によるアノテーションとしてセマンティックタグの付与と，リッカート尺度による段階的評価のような離散的なアノテーションを対象とし，それらの新しい統合方法と機械学習への応用を議論する．このような離散ラベルの統合においては，従来，多数決による決定が多く用いられてきたが，我々は項目反応理論 (IRT) 及び段階反応モデル (GRM) を用いた統合を提案する．提案手法は，個々のアノテータの特性を考慮しながらラベルを統合できる点で新しく，アノテータ数が偶数であったり評価値が順序尺度であったりしても統合を行える特長がある．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"11","bibliographic_titles":[{"bibliographic_title":"研究報告音楽情報科学（MUS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-02","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"15","bibliographicVolumeNumber":"2024-MUS-139"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"updated":"2025-01-19T10:18:25.084792+00:00","created":"2025-01-19T01:33:55.704715+00:00","id":232832}