{"updated":"2025-01-21T15:15:19.372705+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00091805","sets":["1164:5064:7126:7159"]},"path":["7159"],"owner":"11","recid":"91805","title":["芸術的逸脱の生成モデルにおける決定木のバックオフに基づく鍵盤楽器演奏の自動表情付け"],"pubdate":{"attribute_name":"公開日","attribute_value":"2013-05-04"},"_buckets":{"deposit":"2e2db2b3-51b8-4973-b6d6-5b3646d31d03"},"_deposit":{"id":"91805","pid":{"type":"depid","value":"91805","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"芸術的逸脱の生成モデルにおける決定木のバックオフに基づく鍵盤楽器演奏の自動表情付け","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"芸術的逸脱の生成モデルにおける決定木のバックオフに基づく鍵盤楽器演奏の自動表情付け"},{"subitem_title":"Automatic performance rendition for keyboard instruments based on decision tree backing-off in generative model of the artistic deviation","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ポスターセッション","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2013-05-04","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"名古屋工業大学"},{"subitem_text_value":"名古屋工業大学"},{"subitem_text_value":"名古屋工業大学"}]},"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/91805/files/IPSJ-MUS13099010.pdf"},"date":[{"dateType":"Available","dateValue":"2015-05-04"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MUS13099010.pdf","filesize":[{"value":"1.1 MB"}],"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":"15d1b5ea-0d34-4106-9271-08065f1a4b54","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2013 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"奥村, 健太"},{"creatorName":"酒向, 慎司"},{"creatorName":"北村, 正"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Kenta, Okumura","creatorNameLang":"en"},{"creatorName":"Shinji, Sako","creatorNameLang":"en"},{"creatorName":"Tadashi, Kitamura","creatorNameLang":"en"}],"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_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"自動演奏表情付けの問題を考え，それを解くための一手法を提案する．提案手法では，既存のあらゆる演奏事例に対して演奏者自身の楽曲解釈を代替する情報を関連付けた生成モデルを使用することで，そのような演奏事例が生成されるためのルールの組み合わせを体系化する．また，生成モデルの持つ決定木の構造に従って適切な事例の選択するための指標を導入することで，既存の演奏事例に含まれる演奏者の特徴を忠実に反映した演奏表情を未知の系列に転写する．各種評価の結果から，提案手法により生成された未知の演奏は，既存の演奏に見られた人間性や音楽性を示す特徴を備えたものとなることが示された．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"We discuss the problem of generating a virtual musical performance with the characteristics of the existing ones. Our method systematizes the rules for generation of musical expression by using a generative model that associates the information to articulate the performers' own interpretation of musical compositions and characteristics found in their performance. It transcribes appropriate characteristics to any unknown music by investigating the whole samples of existing performances with a criterion according to the topology that is constructed with the generative models. The results of evaluations show that the humanic or musical features of existing performance are also found in the generated unknown performances.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告音楽情報科学（MUS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2013-05-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"10","bibliographicVolumeNumber":"2013-MUS-99"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"created":"2025-01-18T23:40:57.757670+00:00","id":91805,"links":{}}