{"links":{},"id":108562,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00108562","sets":["6504:6505:7806"]},"path":["7806"],"owner":"6748","recid":"108562","title":["調波パラメトリックNMFによる楽器演奏音響信号の分析合成"],"pubdate":{"attribute_name":"公開日","attribute_value":"2011-03-02"},"_buckets":{"deposit":"f882313e-c3ea-4563-9d92-3a51d7442c96"},"_deposit":{"id":"108562","pid":{"type":"depid","value":"108562","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"調波パラメトリックNMFによる楽器演奏音響信号の分析合成","author_link":["20820","20818","20816","20817","20819"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"調波パラメトリックNMFによる楽器演奏音響信号の分析合成"}]},"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":"2011-03-02","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/108562/files/IPSJ-Z73-5R-1.pdf"},"date":[{"dateType":"Available","dateValue":"2014-12-17"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-Z73-5R-1.pdf","filesize":[{"value":"839.7 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"d3d2a1c7-feab-4e75-938f-3aff9ebd711f","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2011 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"安良岡直希"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"糸山克寿"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"高橋徹"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"尾形哲也"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"奥乃博"}],"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":"本稿では調波パラメトリックNonnegative Matrix Factorization (HPNMF) と呼ぶ新しい振幅スペクトログラムモデリング手法を用いた音源分離と演奏合成法について述べる．HPNMFでは，振幅スペクトログラムを直接因子分解するのではなく，各時刻のスペクトルを調波Gaussian Mixtureによりモデル化した上でその各倍音強度パラメータを楽曲全体で因子分解する．これにより基本周波数パラメータをNMFの枠組みの外側で適応でき，通常のNMFが苦手とするビブラート信号などを効率的に推定できる．HPNMFを用いて多重奏からの特定楽器パート音源分離と演奏音響信号再合成が高精度に実現されることを示す．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"294","bibliographic_titles":[{"bibliographic_title":"第73回全国大会講演論文集"}],"bibliographicPageStart":"293","bibliographicIssueDates":{"bibliographicIssueDate":"2011-03-02","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2011"}]},"relation_version_is_last":true,"weko_creator_id":"6748"},"created":"2025-01-18T23:51:08.596006+00:00","updated":"2025-01-21T08:44:42.936532+00:00"}