{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00205303","sets":["6504:10247:10254"]},"path":["10254"],"owner":"6748","recid":"205303","title":["深層音響・言語モデルの統合に基づくドラム採譜"],"pubdate":{"attribute_name":"公開日","attribute_value":"2020-02-20"},"_buckets":{"deposit":"94ee7721-c3cf-433e-9047-2844175117e5"},"_deposit":{"id":"205303","pid":{"type":"depid","value":"205303","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"深層音響・言語モデルの統合に基づくドラム採譜","author_link":["509355","509356","509353","509357","509354"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"深層音響・言語モデルの統合に基づくドラム採譜"}]},"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":"京大"},{"subitem_text_value":"京大"},{"subitem_text_value":"京大"},{"subitem_text_value":"京大"},{"subitem_text_value":"京大"}]},"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/205303/files/IPSJ-Z82-5S-05.pdf","label":"IPSJ-Z82-5S-05.pdf"},"date":[{"dateType":"Available","dateValue":"2020-06-19"}],"format":"application/pdf","filename":"IPSJ-Z82-5S-05.pdf","filesize":[{"value":"509.9 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"8d1c50f7-3ecb-484f-b061-12b5b7f99e80","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":"石塚, 崚斗"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"上田, 瞬"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"錦見, 亮"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中村, 栄太"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"吉井, 和佳"}],"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":"本稿では，音楽音響信号からドラム譜を推定する手法について述べる．近年，深層ニューラルネットワークに基づく手法が提案されており，高い性能を示しているものの，しばしば音楽的に不自然なドラムパターンが出力されることが指摘されている．この問題を解決するため，本研究では，音響信号に対するドラム譜の当てはまりの良さを評価する深層音響モデルと，ドラムパターンの音楽的な妥当性を評価する深層言語モデルを統合することにより，音楽的に自然なドラム譜を推定する手法を提案する．標準データセットを利用した実験で，本手法の有効性を確認する．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"370","bibliographic_titles":[{"bibliographic_title":"第82回全国大会講演論文集"}],"bibliographicPageStart":"369","bibliographicIssueDates":{"bibliographicIssueDate":"2020-02-20","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2020"}]},"relation_version_is_last":true,"weko_creator_id":"6748"},"updated":"2025-01-19T19:54:23.256749+00:00","created":"2025-01-19T01:07:27.985952+00:00","links":{},"id":205303}