{"updated":"2025-01-19T23:28:58.949730+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00194444","sets":["1164:5336:9708:9709"]},"path":["9709"],"owner":"44499","recid":"194444","title":["カバーソング同定法と音声指紋を組み合わせることによるマッシュアップを考慮したメドレー楽曲における楽曲断片検出法の提案"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-02-15"},"_buckets":{"deposit":"2fd4f19b-f460-4323-89f7-d25aa491d18a"},"_deposit":{"id":"194444","pid":{"type":"depid","value":"194444","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"カバーソング同定法と音声指紋を組み合わせることによるマッシュアップを考慮したメドレー楽曲における楽曲断片検出法の提案","author_link":["460254","460256","460253","460255","460252","460251"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"カバーソング同定法と音声指紋を組み合わせることによるマッシュアップを考慮したメドレー楽曲における楽曲断片検出法の提案"},{"subitem_title":"A Proposal of Musical Segment Detection Method for Mashup Medley Using Cover Song Identification and Audio Fingerprinting","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"分析，評価1","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2019-02-15","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"公立はこだて未来大学大学院"},{"subitem_text_value":"公立はこだて未来大学"},{"subitem_text_value":"公立はこだて未来大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Future University Hakodate","subitem_text_language":"en"},{"subitem_text_value":"Future University Hakodate","subitem_text_language":"en"},{"subitem_text_value":"Future University Hakodate","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/194444/files/IPSJ-EC19051012.pdf","label":"IPSJ-EC19051012.pdf"},"date":[{"dateType":"Available","dateValue":"2021-02-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-EC19051012.pdf","filesize":[{"value":"1.3 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":"40"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"bc2dc411-9f7a-4b6b-9e18-cd9f8b587100","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2019 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"佐藤, 僚太"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"竹川, 佳成"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"平田, 圭二"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Ryota, Sato","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yoshinari, Takegawa","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Keiji, Hirata","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12049625","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":"2188-8914","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本稿では，メドレー楽曲におけるマッシュアップを考慮した楽曲断片検出法について述べる．メドレー楽曲とは，複数楽曲の一部分の区間を接続することで作られる新たな形式の楽曲のことを指す．メドレー楽曲では原曲をテンポやキー，音の追加や削除などのアレンジやマッシュアップを行うことで，一曲であるかのように楽曲断片同士の接続を行っている．我々は，メドレー楽曲において何の曲がどこからどこまで登場しているか同定するため，Wang の音声指紋とカバーソング同定法 （Cover Song Identification, CSI） である Serrà らの相互再帰定量化 (Cross Recurrence Quantification, CRQ) を組み合わせた楽曲断片検出法の提案する．メドレー楽曲とその構成楽曲から音声指紋を抽出し，2 曲の類似度行列である行列 CR とカバーソングを定量的に評価するための累積値行列 Q を作成し，開始地点を同定することで楽曲断片の検出っを試みる．実験結果から，やや低い精度ではあるものの，パラメータの検討によって本手法の楽曲断片検出の精度が向上することが示唆された．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告エンタテインメントコンピューティング（EC）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2019-02-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"12","bibliographicVolumeNumber":"2019-EC-51"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T00:59:29.853977+00:00","id":194444,"links":{}}