{"links":{},"id":220986,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00220986","sets":["6504:11035:11043"]},"path":["11043"],"owner":"44499","recid":"220986","title":["条件付き自己符号化器を用いた旋律の協和度を制御できる旋律生成方式の検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-02-17"},"_buckets":{"deposit":"4fcc31c2-698e-4a83-964e-28de51b85182"},"_deposit":{"id":"220986","pid":{"type":"depid","value":"220986","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"条件付き自己符号化器を用いた旋律の協和度を制御できる旋律生成方式の検討","author_link":["578335","578334","578336"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"条件付き自己符号化器を用いた旋律の協和度を制御できる旋律生成方式の検討"}]},"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":"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":"はこだて未来大"},{"subitem_text_value":"はこだて未来大"},{"subitem_text_value":"はこだて未来大"}]},"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/220986/files/IPSJ-Z84-2T-01.pdf","label":"IPSJ-Z84-2T-01.pdf"},"date":[{"dateType":"Available","dateValue":"2022-10-22"}],"format":"application/pdf","filename":"IPSJ-Z84-2T-01.pdf","filesize":[{"value":"750.6 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"6cad18cf-ec74-4302-82b8-c115b578b4a8","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":"城田, 晃希"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"平田, 圭二"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"竹川, 佳成"}],"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":"変分自己符号化器 （Variational Autoencoder）を用いた旋律生成法として，訓練データに含まれる特徴を埋め込んだ潜在空間を学習したのち，その潜在空間上の適切な座標を選択して旋律を生成する方法が考えられる．この時，生成モデルは音楽的ドメイン知識の学習が明示的ではない．したがって，生成モデルの旋律の出力は確率的となるため，生成者の音楽的意図が反映されるとは限らない．そこで本研究では，条件付き変分自己符号化器 （ConditionalVAE） を用いて，コードに対して，旋律の音楽的協和性の評価を条件信号として与えることで，それを制御する．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"490","bibliographic_titles":[{"bibliographic_title":"第84回全国大会講演論文集"}],"bibliographicPageStart":"489","bibliographicIssueDates":{"bibliographicIssueDate":"2022-02-17","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2022"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:21:00.295615+00:00","updated":"2025-01-19T14:20:41.665423+00:00"}