{"updated":"2025-01-19T21:20:10.006536+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00200450","sets":["1164:5064:9706:9970"]},"path":["9970"],"owner":"44499","recid":"200450","title":["リズム・コード・メロディの三段階深層学習による音楽生成"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-11-12"},"_buckets":{"deposit":"de0e80be-270a-41fe-a9a3-0658752e1a94"},"_deposit":{"id":"200450","pid":{"type":"depid","value":"200450","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"リズム・コード・メロディの三段階深層学習による音楽生成","author_link":["487513","487514","487512","487511","487510"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"リズム・コード・メロディの三段階深層学習による音楽生成"}]},"item_type_id":"4","publish_date":"2019-11-12","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"大阪大学大学院情報科学研究科"},{"subitem_text_value":"東京都市大学メディア情報学部"},{"subitem_text_value":"大阪大学産業科学研究所"},{"subitem_text_value":"大阪大学産業科学研究所"},{"subitem_text_value":"大阪大学産業科学研究所"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Information Science and Technology, Osaka University","subitem_text_language":"en"},{"subitem_text_value":"Faculty of Informatics, Tokyo City University","subitem_text_language":"en"},{"subitem_text_value":"Institute of Scientific and Industrial Research, Osaka University","subitem_text_language":"en"},{"subitem_text_value":"Institute of Scientific and Industrial Research, Osaka University","subitem_text_language":"en"},{"subitem_text_value":"Institute of Scientific and Industrial Research, Osaka University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/200450/files/IPSJ-MUS19125005.pdf","label":"IPSJ-MUS19125005.pdf"},"date":[{"dateType":"Available","dateValue":"2021-11-12"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MUS19125005.pdf","filesize":[{"value":"938.2 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"21"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"d25ebf70-c949-4a18-ab79-a35596495e45","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2019 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"松村, 昂輝"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"大谷, 紀子"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"木村, 司"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"福井, 健一"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"沼尾, 正行"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10438388","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8752","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本研究では，深層学習の手法を用いた新しい音楽生成方法を提案する．音楽理論の観点から，コードとメロディは互いに調和する必要がある．つまり，音楽を作る際には，コードを考慮した上でメロディを作る事が望ましい．本研究では，コードを考慮したメロディ生成を行う深層学習モデルを対象とする．既存研究において，音楽の重要な要素であるリズムが考慮されたモデルは存在しない．本研究では，リズム ・コード ・メロディを一括に考慮して音楽を生成する新しい手法を提案する．本手法では，以下の三段階の手順に従い，複数の深層学習モデルを用いて音楽を生成する．①RhythmGenerator，RhythmTransformer により，大量の音楽データから学習した，コード及びメロディのリズムを生成する．②生成されたリズムを入力とし，RhythmToChordGenerator がコードを生成する．③生成されたリズムとコードから，ChordToMelodyGenerator によりメロディを生成する．提案手法を用いた実験では，リズム ・コード ・メロディが調和した音楽を生成することができた．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"4","bibliographic_titles":[{"bibliographic_title":"研究報告音楽情報科学（MUS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2019-11-12","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"5","bibliographicVolumeNumber":"2019-MUS-125"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:04:03.901287+00:00","id":200450,"links":{}}