{"created":"2025-01-19T01:29:37.526752+00:00","updated":"2025-01-19T11:17:57.107506+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00230079","sets":["6504:11436:11440"]},"path":["11440"],"owner":"44499","recid":"230079","title":["J-popのボーカル音高別発声時間の分析と可視化"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"bfb62951-e316-42ab-babe-cbd95827e9de"},"_deposit":{"id":"230079","pid":{"type":"depid","value":"230079","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"J-popのボーカル音高別発声時間の分析と可視化","author_link":["619002","619001"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"J-popのボーカル音高別発声時間の分析と可視化"}]},"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":"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":"お茶の水女子大"},{"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/230079/files/IPSJ-Z85-7T-06.pdf","label":"IPSJ-Z85-7T-06.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-7T-06.pdf","filesize":[{"value":"331.4 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"6fbb8c2e-ba52-4144-bf25-82cf45c682f6","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":"松本, 留奈"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"伊藤, 貴之"}],"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":"ヒット曲の歌唱難易度の評価は歌唱愛好者にとって有益な情報である．我々は歌唱難易度を評価する要素としてメロディの声域と跳躍に着目し，その分布から歌唱難易度を評価することを検討している．その初期段階として本報告では，J-pop曲を対象として，音高別の発生時間の分布を可視化し，そのパターンについて考察する．本研究ではJ-pop曲に対して音源分離を適用してボーカル音源を抽出し，その単位時間ごとの音高を推定して，音高別の出現頻度をヒストグラムとして可視化する．このヒストグラムから音高分布のパターンについて考察し，歌唱難易度の評価への適用を検討する．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"576","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"575","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":230079,"links":{}}