{"id":218416,"updated":"2025-01-19T15:10:08.270581+00:00","links":{},"created":"2025-01-19T01:18:47.200684+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00218416","sets":["1164:5064:10822:10948"]},"path":["10948"],"owner":"44499","recid":"218416","title":["制限ボルツマンマシンを用いた独立低ランク行列分析に基づくブラインド音源分離"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-06-10"},"_buckets":{"deposit":"348b2221-7747-400f-87a6-6b583cd57f30"},"_deposit":{"id":"218416","pid":{"type":"depid","value":"218416","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"制限ボルツマンマシンを用いた独立低ランク行列分析に基づくブラインド音源分離","author_link":["567895","567897","567900","567896","567898","567899"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"制限ボルツマンマシンを用いた独立低ランク行列分析に基づくブラインド音源分離"},{"subitem_title":"Blind Source Separation based on Independent Low-Rank Matrix Analysis using Restricted Boltzmann Machines","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":"2022-06-10","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"電気通信大学"},{"subitem_text_value":"電気通信大学"},{"subitem_text_value":"電気通信大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"The University of Electro-Communications","subitem_text_language":"en"},{"subitem_text_value":"The University of Electro-Communications","subitem_text_language":"en"},{"subitem_text_value":"The University of Electro-Communications","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/218416/files/IPSJ-MUS22134024.pdf","label":"IPSJ-MUS22134024.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MUS22134024.pdf","filesize":[{"value":"1.7 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"21"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"ac8cb682-a5e4-44f7-813b-13e8ff96a7e3","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":"古田, 翔太郎"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"岸田, 拓也"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中鹿, 亘"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Shotaro, Furuta","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takuya, Kishida","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Toru, Nakashima","creatorNameLang":"en"}],"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":"本稿では,ブラインド音源分離手法の一つである独立低ランク音源分離(ILRMA)と,生成モデルの制限ボルツマンマシン(RBM)を組み合わせた新たなブラインド音源分離を提案する.近年では,ブラインド音源分離を用いたモデルが数多く提案されており,中でも独立ベクトル分析(IVA)と非負値行列因子分解(NMF)を融合した ILRMA は,分離精度や計算コスト共に優れた手法の一つである.関連手法では,NMF と同等の機能を持つ生成モデルの RBM との音源分離の比較の結果,RBM の方がより高い分離精度であることが分かっている.そこで,提案手法では更なる分離精度向上のために,NMF に代替可能である RBM と IVA を融合した新しいブラインド音源分離による実験を行い,その性能を従来法と比較,検討する.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In this paper, we propose a new blind source separation method that combines independent low-rank source separation (ILRMA), one of the blind source separation methods, and restricted Boltzmann machine (RBM), a generative model. In recent years, many models using blind source separation have been proposed. In particular, ILRMA, which combines independent vector analysis (IVA) and non-negative matrix factorization (NMF), is one of the best methods in terms of separation accuracy and computational cost. A previous study showed that RBM has higher separation accuracy than NMF. Therefore, in order to further improve the separation accuracy, we propose a new blind source separation method that combines RBM and IVA, which can be substituted for NMF, and compares its performance with that of conventional methods.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"4","bibliographic_titles":[{"bibliographic_title":"研究報告音楽情報科学(MUS)"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2022-06-10","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"24","bibliographicVolumeNumber":"2022-MUS-134"}]},"relation_version_is_last":true,"weko_creator_id":"44499"}}