{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00207738","sets":["581:10023:10034"]},"path":["10034"],"owner":"44499","recid":"207738","title":["ソフトウェアエフェクタを利用した同一機材を必要としない機械学習によるエレキギター音色の自動再現手法の検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2020-11-15"},"_buckets":{"deposit":"426be3e3-aa0b-4eac-a250-c73232e29958"},"_deposit":{"id":"207738","pid":{"type":"depid","value":"207738","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"ソフトウェアエフェクタを利用した同一機材を必要としない機械学習によるエレキギター音色の自動再現手法の検討","author_link":["519308","519304","519305","519306","519309","519307"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ソフトウェアエフェクタを利用した同一機材を必要としない機械学習によるエレキギター音色の自動再現手法の検討"},{"subitem_title":"Investigation of Automatic Reproduction Method of Electric Guitar Tones by Machine Learning Using Software Effectors without the Need of the Same Equipment","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"[特集：エンタテインメントコンピューティング] エレキギター，楽器音響，遺伝的アルゴリズム","subitem_subject_scheme":"Other"}]},"item_type_id":"2","publish_date":"2020-11-15","item_2_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京都立大学大学院システム研究科"},{"subitem_text_value":"東京都立大学大学院システム研究科"},{"subitem_text_value":"東京都立大学大学院システム研究科"}]},"item_2_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of System Design, Tokyo Metoropolitan University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of System Design, Tokyo Metoropolitan University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of System Design, Tokyo Metoropolitan 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/207738/files/IPSJ-JNL6111007.pdf","label":"IPSJ-JNL6111007.pdf"},"date":[{"dateType":"Available","dateValue":"2022-11-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-JNL6111007.pdf","filesize":[{"value":"1.3 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":"8"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"c2a8b918-db28-48d2-9edd-5806fe24b12c","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2020 by the Information Processing Society of Japan"}]},"item_2_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"有山, 大地"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"安藤, 大地"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"串山, 久美子"}],"nameIdentifiers":[{}]}]},"item_2_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Daichi, Ariyama","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Daichi, Ando","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kumiko, Kushiyama","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_2_relation_14":{"attribute_name":"サプリメンタルコンテンツ","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_text":"アンケート用動画.mp4（Supplementary material）","subitem_relation_name_language":"ja"},{"subitem_relation_name_text":"questionnaire video.mp4（Supplementary material）","subitem_relation_name_language":"en"}],"subitem_relation_type":"isSupplementedBy","subitem_relation_type_id":{"subitem_relation_type_select":"URI","subitem_relation_type_id_text":"http://id.nii.ac.jp/1012/00000058/"}}]},"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":"エレキギターの音作りは一般的にアナログのアンプ，エフェクタなどを用いて行われ，その組合せは膨大な数にのぼり，演奏者やエンジニアが求めている音色を得るために大きな労力を必要とする．たとえば，憧れのギタリストの音色を再現したいという場合，まず同一の機材の入手，加えてステージセッティングの画像などからエフェクタのつまみの位置を推測する必要があり，手動での再現のプロセスは困難なものである．そこで音色再現の問題を解決するため，ユーザが所持している1つのソフトウェアエフェクタのみを用いて，ユーザが目標とする音になるべく近い音作りができることを目標として，エフェクタの複数のパラメータを機械学習により探索する手法の開発を行った．本研究は現在までにギターエフェクトの1つである「歪み系エフェクト」を中心に，開発したシステムによって再現された音色について調査・実験を行い，再現度の評価において一定の成果を得た．また，本研究で開発した手法がエレキギター音色の再現において有効であることを確認した．","subitem_description_type":"Other"}]},"item_2_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Though the sound making of electric guitar is generally carried out using analog amplifiers, effectors, etc., the combination of them becomes enormous numbers, and it is difficult to obtain a tone color required by performers and engineers. For example, consider the case where you want to reproduce the tone color of the guitarist you admire. First, it is necessary to obtain the same equipment as the target guitarist, and then to guess the position of the knob of the effector from the image of stage setting, etc. It is proven that manual reproduction of a tone color is difficult, even if only this procedure is considered. In order to solve the problem of a tone color reproduction, we developed a method to search for multiple parameters of the effectors by machine learning, aiming at creating a sound as close as possible to the user's target sound using only one software effector owned by the user. In this research, we investigated and tested a tone color reproduced by the developed system, focusing on “Distortion Effect” which is one of the guitar effects, and obtained a certain result in the evaluation of the reproducibility. And, it was confirmed that the technique developed in this research was effective in the reproduction of a electric guitar tone color.","subitem_description_type":"Other"}]},"item_2_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"1740","bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌"}],"bibliographicPageStart":"1729","bibliographicIssueDates":{"bibliographicIssueDate":"2020-11-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"11","bibliographicVolumeNumber":"61"}]},"relation_version_is_last":true,"item_2_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.20729/00207636","subitem_identifier_reg_type":"JaLC"}]},"weko_creator_id":"44499"},"updated":"2025-01-19T18:55:38.550473+00:00","created":"2025-01-19T01:09:21.300066+00:00","links":{},"id":207738}