{"created":"2025-01-19T01:37:51.393684+00:00","updated":"2025-01-19T09:25:26.308140+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00236027","sets":["6504:11678:11689"]},"path":["11689"],"owner":"44499","recid":"236027","title":["声道の共鳴特性・共振点，曲のテンポ及び歌詞の特徴量を機械学習に応用した“ヒット曲”の特徴分析"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"d71ceeea-8db4-482d-be77-8e831ad75582"},"_deposit":{"id":"236027","pid":{"type":"depid","value":"236027","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"声道の共鳴特性・共振点，曲のテンポ及び歌詞の特徴量を機械学習に応用した“ヒット曲”の特徴分析","author_link":["645027","645028"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"声道の共鳴特性・共振点，曲のテンポ及び歌詞の特徴量を機械学習に応用した“ヒット曲”の特徴分析"}]},"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":"日大"},{"subitem_text_value":"日大"}]},"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/236027/files/IPSJ-Z86-1R-08.pdf","label":"IPSJ-Z86-1R-08.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-03"}],"format":"application/pdf","filename":"IPSJ-Z86-1R-08.pdf","filesize":[{"value":"919.0 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"eceab9f9-e619-467c-b864-7cb6466076a6","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, 健太"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"大槻, 明"}],"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":"音楽産業における消費者ニーズが多様化し，産業が急速に変化する中でも，音楽は大量に制作され，そのほとんどが商業化され，その結果，ヒットする曲とそうでない曲が存在する．本研究では，ヒットする曲にはどのような特徴があるのか，またその特徴は音楽産業の変化に合わせてどのように変化してきたのか，の二つの議論について，その要因がボーカルの特徴・曲のテンポ・歌詞の特徴にあると仮定した．定量的な3つのアプローチによって代表値を算出し、クラスタリングによってヒット曲の特徴を明らかにするモデルである．様々な要因から定量的なヒット要因を抽出できれば，音楽産業における効果的なマーケティングを提案できると考える．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"370","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"369","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":236027,"links":{}}