{"links":{},"id":192329,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00192329","sets":["1164:5064:9400:9601"]},"path":["9601"],"owner":"44499","recid":"192329","title":["グループアイドルソングを対象とした歌唱者ダイアライゼーション手法の基礎的検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-11-14"},"_buckets":{"deposit":"905ece6f-8e14-47ae-9dfd-48bd5d88f5e6"},"_deposit":{"id":"192329","pid":{"type":"depid","value":"192329","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"グループアイドルソングを対象とした歌唱者ダイアライゼーション手法の基礎的検討","author_link":["448251","448253","448255","448254","448252"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"グループアイドルソングを対象とした歌唱者ダイアライゼーション手法の基礎的検討"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ポスターセッション","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2018-11-14","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京大学大学院工学系研究科"},{"subitem_text_value":"産業技術総合研究所"},{"subitem_text_value":"産業技術総合研究所"},{"subitem_text_value":"東京大学大学院工学系研究科"},{"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":"Graduate School of Engineering, The University of Tokyo","subitem_text_language":"en"},{"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"},{"subitem_text_value":"Graduate School of Engineering, The University of Tokyo","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/192329/files/IPSJ-MUS18121017.pdf","label":"IPSJ-MUS18121017.pdf"},"date":[{"dateType":"Available","dateValue":"2020-11-14"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MUS18121017.pdf","filesize":[{"value":"1.1 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":"d57907d5-8b1b-475c-91c1-f13f02b3ce2c","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2018 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"須田, 仁志"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"深山, 覚"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中野, 倫靖"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"齋藤, 大輔"}],"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":"本稿では，複数人が歌唱している楽曲に対して誰がいつ歌っているかを推定する歌唱者ダイアライゼーションの基礎的な検討を行う．とくに本稿ではグループアイドルソングのような複数の歌唱者が交互に歌ったり同時に歌ったりする楽曲を対象とする．本稿では伴奏音を除去した歌声を用いてアイドルソングのデータセットを構築した．またこれらの歌声に対して，歌唱者の音響モデルを未知とした手法と既知とした手法の 2 手法を用いて歌唱者ダイアライゼーションを行った．歌唱者の音響モデルを未知とした手法には，会話音声に対する話者ダイアライゼーションで広く用いられている修正ベイズ情報量規準を用いた手法を利用した．また音響モデルを既知とした手法では，i - vector を用いた話者認識を利用して短時間での歌唱者認識を繰り返し行うことで推定した．推定結果から，歌唱者の音響モデルの有無により大きな性能の差があること，また音響モデルが既知であっても短時間での歌唱者認識だけでなく適切な後処理によって推定誤りを減らせることが確認できた．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告音楽情報科学（MUS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2018-11-14","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"17","bibliographicVolumeNumber":"2018-MUS-121"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T00:58:02.734234+00:00","updated":"2025-01-20T00:12:43.965598+00:00"}