{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00216626","sets":["1164:5159:10869:10870"]},"path":["10870"],"owner":"44499","recid":"216626","title":["空間能動騒音制御のためのノイズ・スピーカ音場の個別補間に基づくFiltered-X LMSアルゴリズム"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-02-22"},"_buckets":{"deposit":"63e48387-b59f-4466-a1af-d6048df0ad41"},"_deposit":{"id":"216626","pid":{"type":"depid","value":"216626","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"空間能動騒音制御のためのノイズ・スピーカ音場の個別補間に基づくFiltered-X LMSアルゴリズム","author_link":["559362","559364","559361","559360","559363","559359"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"空間能動騒音制御のためのノイズ・スピーカ音場の個別補間に基づくFiltered-X LMSアルゴリズム"},{"subitem_title":"Filtered-X LMS algorithm based on individual interpolation of primary and secondary sound fields for spatial active noise control","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2","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2022-02-22","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京大学大学院情報理工学系研究科"},{"subitem_text_value":"東京大学大学院情報理工学系研究科"},{"subitem_text_value":"東京大学大学院情報理工学系研究科"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Information Science and Technology, the University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Information Science and Technology, the University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Information Science and Technology, the University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"Graduate School","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/216626/files/IPSJ-SLP22140025.pdf","label":"IPSJ-SLP22140025.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-SLP22140025.pdf","filesize":[{"value":"2.5 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"22"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"5fb7091e-c972-41aa-b1c9-4e15df766e62","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 by the Institute of Electronics, Information and Communication Engineers This SIG report is only available to those in membership of the SIG."}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"有川, 和志"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小山, 翔一"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"猿渡, 洋"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Kazuyuki, Arikawa","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Shoichi, Koyama","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hiroshi, Saruwatari","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10442647","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":"2188-8663","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年，三次元空間内の対象領域全体でノイズを抑圧する技術である空間能動騒音制御 (ANC) が注目されている．空間 ANC では，従来の離散的な観測点のみでの制御であった多点音圧制御と比べて，領域内の連続的なノイズを高い性能で抑制することが可能である．特にカーネルリッジ回帰による音場の補間を活用した空間 ANC では，誤差マイクロフォンの配置を自由に設計することができ，さらにノイズ音の到来方向に基づいてカーネル関数を設計することが可能である．しかし従来のカーネル補間に基づく空間 ANC では，ノイズ音場とスピーカ音場の合成音場を単一のカーネル関数で補間してしまうため，ノイズ方向に重みをつけたカーネル関数を用いても性能の向上は限定的である．そこで著者らは，ノイズ音場とスピーカ音場をそれぞれ個別にカーネルリッジ回帰で補間するという新たなアプローチを提案している．本稿ではこの個別カーネル補間に基づいて，空間 ANC のための新たな FLMS アルゴリズムを時間領域で定式化する．数値シミュレーションにより，提案法は従来のカーネル補間に基づく FxLMS アルゴリズムよりも高い性能で対象領域内の音圧を抑制できることを確認した．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Spatial active noise control (ANC), which aims to reduce noise over a three-dimensional target region, has at- tracted attention in recent years. Regional noise reduction is achieved by spatial ANC methods in contrast to the point-wise reduction by conventional ANC methods. In particular, the kernel-interpolation-based spatial ANC method allows using arbitrarily-placed error microphones and enhancing the performance for given noise source directions. However, the current kernel-interpolation-based spatial ANC method is based on the interpolation of the superposition of noise field and synthesized field by loudspeakers, i.e., primary and secondary fields, which limits the reduction performance owing to inappropriate directional weighting. We recently proposed a spatial ANC method based on individual interpolation of the primary and secondary fields by kernel ridge regression. In this paper, we formulate a new time-domain FxLMS algorithm based on the individual kernel interpolation. Numerical simulation results indicated that our proposed algorithm outperforms the current kernel-interpolation-based FxLMS algorithm in terms of regional noise reduction.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告音声言語情報処理（SLP）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2022-02-22","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"25","bibliographicVolumeNumber":"2022-SLP-140"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":216626,"updated":"2025-01-19T15:47:23.280979+00:00","links":{},"created":"2025-01-19T01:17:08.979934+00:00"}