{"id":212846,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00212846","sets":["1164:5064:10547:10707"]},"path":["10707"],"owner":"44499","recid":"212846","title":["楽譜情報を援用した音楽音響信号に対する混合Differentiable DSPモデルの合成パラメータ推定"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-09-09"},"_buckets":{"deposit":"04f58d65-3eeb-4ee1-b7ce-fc0b80e9cc3b"},"_deposit":{"id":"212846","pid":{"type":"depid","value":"212846","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"楽譜情報を援用した音楽音響信号に対する混合Differentiable DSPモデルの合成パラメータ推定","author_link":["543625","543626","543629","543627","543624","543628"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"楽譜情報を援用した音楽音響信号に対する混合Differentiable DSPモデルの合成パラメータ推定"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"音楽音響信号処理","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2021-09-09","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京大学"},{"subitem_text_value":"東京大学"},{"subitem_text_value":"香川高等専門学校"},{"subitem_text_value":"東京大学"},{"subitem_text_value":"ヤマハ株式会社"},{"subitem_text_value":"ヤマハ株式会社"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"The University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"The University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"National Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"The University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"Yamaha Corporation","subitem_text_language":"en"},{"subitem_text_value":"Yamaha Corporation","subitem_text_language":"en"}]},"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/212846/files/IPSJ-MUS21132022.pdf","label":"IPSJ-MUS21132022.pdf"},"date":[{"dateType":"Available","dateValue":"2023-09-09"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MUS21132022.pdf","filesize":[{"value":"549.3 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":"21"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"b40494cb-f111-44b5-bae7-bcaad01841fc","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"川村, 真也"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中村, 友彦"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"北村, 大地"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"猿渡, 洋"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"高橋, 祐"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"近藤, 多伸"}],"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_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8752","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"Differentiable Digital Signal Processing（DDSP）は深層ニューラルネットワーク (deep neural network: DNN) を用いた楽器音生成モデルであり，中間表現として得られる基本周波数，ラウドネス，音色特徴量 (合成パラメータ) を変更することで，楽器音を柔軟に加工できる．しかし，DDSP は単旋律の単一楽器音を対象として設計されており，複数音源が混在した音響信号に対しては直接適用できない．また，事前に既存の音源分離手法を用いて各楽器音に分離すれば DDSP を適用できるものの，分離に伴う歪みや当該楽器以外の残留音により必ずしも DDSP が適切に動作するとは限らない．そこで，本稿では音源分離を介さずに混合音から直接各音源の合成パラメータを推定するため，事前学習済みの DDSP を複数用いた混合楽器音生成モデル (混合DDSPモデル) を提案する．楽譜情報を援用しながら提案する混合 DDSP モデルからの生成音を混合楽器音にフィッティングすることで，各楽器音に対応する合成パラメータを推定する. 混合楽器音からの合成パラメータ推定実験により，提案法の有効性を示す．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"7","bibliographic_titles":[{"bibliographic_title":"研究報告音楽情報科学（MUS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2021-09-09","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"22","bibliographicVolumeNumber":"2021-MUS-132"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"updated":"2025-01-19T17:21:11.312501+00:00","created":"2025-01-19T01:13:46.454470+00:00","links":{}}