{"id":205300,"updated":"2025-01-19T19:54:18.617581+00:00","links":{},"created":"2025-01-19T01:07:27.819665+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00205300","sets":["6504:10247:10254"]},"path":["10254"],"owner":"6748","recid":"205300","title":["ギターパートを対象とするエンドツーエンド音源分離の検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2020-02-20"},"_buckets":{"deposit":"9c8a4f8a-ffe6-4ff0-8be8-cbf10588f6a6"},"_deposit":{"id":"205300","pid":{"type":"depid","value":"205300","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"ギターパートを対象とするエンドツーエンド音源分離の検討","author_link":["509346","509345"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ギターパートを対象とするエンドツーエンド音源分離の検討"}]},"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":"2020-02-20","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/205300/files/IPSJ-Z82-5S-02.pdf","label":"IPSJ-Z82-5S-02.pdf"},"date":[{"dateType":"Available","dateValue":"2020-06-19"}],"format":"application/pdf","filename":"IPSJ-Z82-5S-02.pdf","filesize":[{"value":"326.4 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"c1ef60f0-b7b0-406e-9f4c-63448741267d","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2020 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"尾関, 日向"}],"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":"本研究では複数の楽器が混ざり合った音楽音響信号からギターパートを分離することを目的とする。音楽音響信号を対象にした音源分離は、楽曲が含む各パートの音源を必要とする自動採譜技術にとって欠かせないタスクである。従来はボーカルやドラムパートの分離が多く取り組まれてきたが、一般的に楽曲は他にも様々なパートを含んでおり、それらの分離も行わなければ実用的な自動採譜ができない。例えばギターはポピュラー音楽で頻繁に使用され、メジャーな構成要素である。そこでギターとボーカルに対して Wave-U-Net を用いてそれぞれのエンドツーエンド音源分離モデルを作成し、分離精度を比較した。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"364","bibliographic_titles":[{"bibliographic_title":"第82回全国大会講演論文集"}],"bibliographicPageStart":"363","bibliographicIssueDates":{"bibliographicIssueDate":"2020-02-20","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2020"}]},"relation_version_is_last":true,"weko_creator_id":"6748"}}