{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00220985","sets":["6504:11035:11043"]},"path":["11043"],"owner":"44499","recid":"220985","title":["楽曲ジャンル分類へのEfficientNetV2の適用"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-02-17"},"_buckets":{"deposit":"d3c4d76d-733b-4db0-9326-2920692b5357"},"_deposit":{"id":"220985","pid":{"type":"depid","value":"220985","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"楽曲ジャンル分類へのEfficientNetV2の適用","author_link":["578332","578333","578331"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"楽曲ジャンル分類へのEfficientNetV2の適用"}]},"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":"2022-02-17","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":"岩手県大"},{"subitem_text_value":"岩手県大"},{"subitem_text_value":"岩手県大"}]},"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/220985/files/IPSJ-Z84-1T-08.pdf","label":"IPSJ-Z84-1T-08.pdf"},"date":[{"dateType":"Available","dateValue":"2022-10-22"}],"format":"application/pdf","filename":"IPSJ-Z84-1T-08.pdf","filesize":[{"value":"548.0 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"3939cddd-bc94-4a42-845f-edf74aad046c","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"坂田, 大地"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小嶋, 和徳"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"伊藤, 慶明"}],"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":"近年スマートフォンやインターネットの発展により，ストリーミングサービスなどによるディジタル音楽が普及し，音楽情報検索に関する研究が盛んに行われている．特に楽曲特徴から楽曲のジャンルを分類する楽曲ジャンル分類は多くの研究が行われている．近年，人工知能分野において深層学習が発展したことにより，同技術を楽曲ジャンル分類に応用した，様々なモデルや手法が存在する．本研究ではGoogle社が2021年に発表した画像認識モデルであるEfficientNetV2を楽曲ジャンル分類に応用し，その有効性の確認を行う．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"488","bibliographic_titles":[{"bibliographic_title":"第84回全国大会講演論文集"}],"bibliographicPageStart":"487","bibliographicIssueDates":{"bibliographicIssueDate":"2022-02-17","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2022"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:21:00.237275+00:00","updated":"2025-01-19T14:20:43.136241+00:00","id":220985}