{"id":236217,"updated":"2025-01-19T09:20:51.669711+00:00","links":{},"created":"2025-01-19T01:38:08.860628+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00236217","sets":["6504:11678:11689"]},"path":["11689"],"owner":"44499","recid":"236217","title":["ポピュラー音楽のボーカル音源分離結果に対する音響特徴量と情動の関連の可視化"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"0130b243-b35d-406f-984c-22ec6645b123"},"_deposit":{"id":"236217","pid":{"type":"depid","value":"236217","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"ポピュラー音楽のボーカル音源分離結果に対する音響特徴量と情動の関連の可視化","author_link":["645655"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ポピュラー音楽のボーカル音源分離結果に対する音響特徴量と情動の関連の可視化"}]},"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":"2024-03-01","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":"お茶の水女子大"}]},"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/236217/files/IPSJ-Z86-1V-06.pdf","label":"IPSJ-Z86-1V-06.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-03"}],"format":"application/pdf","filename":"IPSJ-Z86-1V-06.pdf","filesize":[{"value":"198.4 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"184004f7-7a28-49b4-a01d-2666cb1845ed","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"吉田, 真尋"}],"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":"機械学習を用いた楽曲レコメンド機能が発展する一方で、人がなぜその楽曲を好きになるのか、楽曲に何を感じるのかはいまだに明らかになっていない。本研究ではポピュラー音楽59曲をボーカルと伴奏に音源分離し、それぞれについて感情価と覚醒度を評価した結果を重回帰分析および可視化し、感情に影響を与える音響特徴量を探る。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"768","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"767","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"}}