{"links":{},"id":236218,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00236218","sets":["6504:11678:11689"]},"path":["11689"],"owner":"44499","recid":"236218","title":["歌声音源を用いた深層学習による自動採譜の検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"9932deb1-e3d0-4f24-a661-69d7ffddf147"},"_deposit":{"id":"236218","pid":{"type":"depid","value":"236218","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"歌声音源を用いた深層学習による自動採譜の検討","author_link":["645657","645656"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"歌声音源を用いた深層学習による自動採譜の検討"}]},"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":"2024-03-01","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":"山形大"},{"subitem_text_value":"山形大"}]},"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/236218/files/IPSJ-Z86-1V-07.pdf","label":"IPSJ-Z86-1V-07.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-03"}],"format":"application/pdf","filename":"IPSJ-Z86-1V-07.pdf","filesize":[{"value":"315.2 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"62ac724f-bb73-4db6-8b2c-565199100a1d","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"千葉, 綾乃"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小坂, 哲夫"}],"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":"本稿は，LSTMベースの深層学習モデルを使用し，歌声採譜の検討を行う．本研究の目標は，歌声を含む楽曲音響信号から歌唱部を主旋律として演奏するピアノ楽譜を生成する自動採譜システムの構築である．しかし従来，ピアノなど楽器に対する自動採譜は広く研究されているが，歌声に対する自動採譜研究はあまり多くはない．そこで，本研究はピアノ楽曲に対する採譜モデルを基に，歌声を学習させることで歌声採譜モデルとして活用する．また，歌声の抽出による性能を比較するために，音源分離手法を用いて作成した分離歌声音源を使用する．実験では，作成したモデルの基本的な能力の検証と音源の条件の違いによる性能の比較を示した．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"770","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"769","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:38:08.952900+00:00","updated":"2025-01-19T09:20:50.389094+00:00"}