{"created":"2025-01-19T01:29:37.428837+00:00","updated":"2025-01-19T11:17:58.421657+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00230078","sets":["6504:11436:11440"]},"path":["11440"],"owner":"44499","recid":"230078","title":["MusiColor Chart : 楽曲メディアコンテンツを対象とした音響特徴による楽曲内セグメンテーションとその可視化手法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"2adeb620-45bd-4d2e-b17f-db0177797f5e"},"_deposit":{"id":"230078","pid":{"type":"depid","value":"230078","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"MusiColor Chart : 楽曲メディアコンテンツを対象とした音響特徴による楽曲内セグメンテーションとその可視化手法","author_link":["618999","618997","618998","619000"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"MusiColor Chart : 楽曲メディアコンテンツを対象とした音響特徴による楽曲内セグメンテーションとその可視化手法"}]},"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":"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":"武蔵野大"},{"subitem_text_value":"武蔵野大"},{"subitem_text_value":"武蔵野大"},{"subitem_text_value":"武蔵野大"}]},"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/230078/files/IPSJ-Z85-7T-05.pdf","label":"IPSJ-Z85-7T-05.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-7T-05.pdf","filesize":[{"value":"337.1 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"ab197dd4-534d-4df0-8acf-bff3dec9b0bd","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":"神垣, 千絵"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中西, 崇文"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"岡田, 龍太郎"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"峰松, 彩子"}],"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":"本稿では,楽曲メディアコンテンツを対象とした音響特徴による楽曲内セグメンテーションとその可視化手法であるMusiColor Chartについて示す.本方式は,楽曲メディアコンテンツを対象として,それぞれの時間ごとの音響特徴を抽出し,その音響特徴をクラスタリングすることにより,楽曲のセクションを自動抽出することを可能とする.さらに,自動抽出された楽曲のセクションごとに,そのセクションの音響特徴に起因する印象に合致した色彩情報を割り当て,楽曲1曲を複数の色彩情報から成り立つカラーバーとして可視化することで,その楽曲全体の印象の変化を俯瞰的に可視化できる.","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"574","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"573","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":230078,"links":{}}