{"updated":"2025-01-23T02:02:17.626539+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00011715","sets":["581:664:675"]},"path":["675"],"owner":"1","recid":"11715","title":["重回帰分析のイタレーションによる演奏ルールの抽出と解析"],"pubdate":{"attribute_name":"公開日","attribute_value":"2002-02-15"},"_buckets":{"deposit":"bdb94958-890f-4c30-b05c-4feb9dc8f8a7"},"_deposit":{"id":"11715","pid":{"type":"depid","value":"11715","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"重回帰分析のイタレーションによる演奏ルールの抽出と解析","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"重回帰分析のイタレーションによる演奏ルールの抽出と解析"},{"subitem_title":"Identification of Music Performance Rules Based on Iterated Multiple Regression Analysis","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"特集：音楽情報科学","subitem_subject_scheme":"Other"}]},"item_type_id":"2","publish_date":"2002-02-15","item_2_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"大阪大学大学院基礎工学研究科／現在，日本テレコム株式会社"},{"subitem_text_value":"和歌山大学システム工学部"},{"subitem_text_value":"大阪大学大学院基礎工学研究科"}]},"item_2_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Faculty of Engineering Science, Osaka University/Presently with Japan Telecom Co., Ltd.","subitem_text_language":"en"},{"subitem_text_value":"Faculty of Systems Engineering, Wakayama University","subitem_text_language":"en"},{"subitem_text_value":"Faculty of Engineering Science, Osaka University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/11715/files/IPSJ-JNL4302009.pdf"},"date":[{"dateType":"Available","dateValue":"2004-02-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-JNL4302009.pdf","filesize":[{"value":"284.9 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"8"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"921b4edd-b4e4-4ddb-aaf9-a392432e844f","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2002 by the Information Processing Society of Japan"}]},"item_2_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"石川, 修"},{"creatorName":"片寄, 晴弘"},{"creatorName":"井口, 征士"}],"nameIdentifiers":[{}]}]},"item_2_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Osamu, Ishikawa","creatorNameLang":"en"},{"creatorName":"Haruhiro, Katayose","creatorNameLang":"en"},{"creatorName":"Seiji, Inokuchi","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_2_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00116647","subitem_source_identifier_type":"NCID"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"journal article"}]},"item_2_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1882-7764","subitem_source_identifier_type":"ISSN"}]},"item_2_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本論文では，重回帰分析を応用した手法によって，音楽演奏ルールを抽出するシステムについて述べる．説明変数の従属性を排除する形でイタレーション処理を実施することで，帰納学習法などでは実現されているアンド結合のルールを効果的に抽出できるようにし，また，クロージャなどを説明変数として扱うことにより，重回帰分析と比べて20%?50%，先に提案したイタレーション処理と比べ5%?10%，抽出した演奏ルールの精度が上がることが確認された．さらに，未知楽曲への適応度を扱うものとして，教師演奏データ前半で学習を行い，演奏後半についてシステムが生成したデータと教師演奏の比較を行った．また，同じ楽曲に対する3人の演奏から平均的なルールを抽出した結果，本手法により，フレーズ演奏表現に関するパラメータを定量的に抽出できることが確認できた．","subitem_description_type":"Other"}]},"item_2_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"This paper describes a system which extracts music performance rules based on multiple regression analysis. The new iteration algorithm eliminating the dependent explanation variables contributed to capability of AND-rules extraction. Fitting rate was 20%--50% improved compared with the normal multiple regression analysis, and  5%--10% compared with our earlier algorithm.This paper shows the comparison of the human performance and the system generation using the rules extracted from the given human former-half performance. This paper also shows the extraction of average rules from multiple performances of a piece. We verified the system can extract the quantitative parameters regarding phrase expression.","subitem_description_type":"Other"}]},"item_2_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"276","bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌"}],"bibliographicPageStart":"268","bibliographicIssueDates":{"bibliographicIssueDate":"2002-02-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicVolumeNumber":"43"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"created":"2025-01-18T22:46:16.254614+00:00","id":11715,"links":{}}