{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00196934","sets":["6504:9795:9801"]},"path":["9801"],"owner":"6748","recid":"196934","title":["マルコフ連鎖に基づくマスク付きNMFを用いた特定音源の分離"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-02-28"},"_buckets":{"deposit":"34cd3077-4ba8-4808-93c1-369b5b16b564"},"_deposit":{"id":"196934","pid":{"type":"depid","value":"196934","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"マルコフ連鎖に基づくマスク付きNMFを用いた特定音源の分離","author_link":["471915","471914","471916","471913"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"マルコフ連鎖に基づくマスク付きNMFを用いた特定音源の分離"}]},"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":"2019-02-28","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":"東工大"},{"subitem_text_value":"東工大"},{"subitem_text_value":"東工大"},{"subitem_text_value":"東工大"}]},"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/196934/files/IPSJ-Z81-7T-01.pdf","label":"IPSJ-Z81-7T-01.pdf"},"date":[{"dateType":"Available","dateValue":"2019-05-28"}],"format":"application/pdf","filename":"IPSJ-Z81-7T-01.pdf","filesize":[{"value":"441.0 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"36a98c3a-f1ae-4e7a-a89e-1a2130ca41c8","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2019 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"日下, 湧太"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"糸山, 克寿"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"西田, 健次"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中臺, 一博"}],"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，マルコフ連鎖に基づくバイナリマスクを導入した非負値行列因子分解（NMF）により，音楽音響信号から特定の楽器音のみを分離する手法を提案する．一般に，NMFによる音源分離では，必ずしも基底と楽器とが一対一に対応しない．これを解決する手法として，楽器の教師音により基底を事前学習するNMFが提案されているものの，教師音を準備する手間が大きいという問題がある．提案手法では，楽器音の立上り（オンセット）情報の一部を指定したうえで，新たに導入したバイナリマスクを自動推定することにより，教師音なしでの特定楽器音分離を行う．予備的な実験を行い，オンセットを事前情報として与えることで，特定の楽器音のみが分離できることを確認した．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"420","bibliographic_titles":[{"bibliographic_title":"第81回全国大会講演論文集"}],"bibliographicPageStart":"419","bibliographicIssueDates":{"bibliographicIssueDate":"2019-02-28","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2019"}]},"relation_version_is_last":true,"weko_creator_id":"6748"},"updated":"2025-01-19T22:34:02.713710+00:00","created":"2025-01-19T01:01:25.722662+00:00","id":196934}