{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00230041","sets":["6504:11436:11440"]},"path":["11440"],"owner":"44499","recid":"230041","title":["Transformerを用いたファミコン風自動編曲手法の検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"b4d8df4f-7e91-484e-a1f3-a64da61e7351"},"_deposit":{"id":"230041","pid":{"type":"depid","value":"230041","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Transformerを用いたファミコン風自動編曲手法の検討","author_link":["618902","618903"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Transformerを用いたファミコン風自動編曲手法の検討"}]},"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":"名工大"},{"subitem_text_value":"名工大"}]},"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/230041/files/IPSJ-Z85-1T-07.pdf","label":"IPSJ-Z85-1T-07.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-1T-07.pdf","filesize":[{"value":"190.4 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"32f1a280-a562-4c1d-b5dd-8c236aaaccec","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":"小木曽, 雄飛"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"酒向, 慎司"}],"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":"本研究は既存のポピュラー音楽をファミコン風の音楽に自動編曲することを目的としている. ファミコン音楽は4パートで構成されており, それぞれ同時に1音しか発音できず, 最大同時発音数が4音という制約を持っている. そのため, 既存の楽曲に対して, 音の削除または追加をして, パートの割り当てをする必要がある.　これらを達成するために, 深層学習モデルを用いた編曲手法を提案する. ファミコン風編曲前後のデータを用いて, Music Transformerを教師あり学習を行い, ピアノ楽曲のMIDIデータの変換を行う.  MIDIのデータ表現を変えて評価実験を行った.","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"496","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"495","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:29:33.859151+00:00","updated":"2025-01-19T11:18:50.316708+00:00","id":230041}