{"created":"2025-01-19T00:06:52.772970+00:00","updated":"2025-01-21T01:22:40.180775+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00127358","sets":["6504:8078:8083"]},"path":["8083"],"owner":"1","recid":"127358","title":["音楽情景分析の処理モデルOPTIMAの実装"],"pubdate":{"attribute_name":"公開日","attribute_value":"1995-03-15"},"_buckets":{"deposit":"f5b3e920-b805-4c29-8270-16011c8516ff"},"_deposit":{"id":"127358","pid":{"type":"depid","value":"127358","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"音楽情景分析の処理モデルOPTIMAの実装","author_link":[],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"音楽情景分析の処理モデルOPTIMAの実装"},{"subitem_title":"Implementation of OPTIMAOrganized Processing toward Intelligent Music Scene Analysis","subitem_title_language":"en"}]},"item_type_id":"22","publish_date":"1995-03-15","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":"東京大学工学部"},{"subitem_text_value":"東京大学工学部"},{"subitem_text_value":"東京大学工学部"},{"subitem_text_value":"東京大学工学部"}]},"item_22_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"University of Tokyo, Department of Electrical Engineering","subitem_text_language":"en"},{"subitem_text_value":"University of Tokyo, Department of Electrical Engineering","subitem_text_language":"en"},{"subitem_text_value":"University of Tokyo, Department of Electrical Engineering","subitem_text_language":"en"},{"subitem_text_value":"University of Tokyo, Department of Electrical Engineering","subitem_text_language":"en"}]},"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/127358/files/KJ00001333740.pdf"},"date":[{"dateType":"Available","dateValue":"1995-03-15"}],"format":"application/pdf","filename":"KJ00001333740.pdf","filesize":[{"value":"240.6 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"d17fff4d-3665-418d-96f2-af6f6e30a1bd","displaytype":"detail","licensetype":"license_note"}]},"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":"われわれは、聴覚的情景分析を「知覚的な音」の分離抽出(知覚的音源分離)と構造化の問題と捉え、モノラルの楽器演奏の音響信号を題材として、音楽情景分析(音楽音響信号を対象とする聴覚的情景分析)の処理モデルについて検討を行っている。ここで、知覚的音源分離とは、人間がひとつのものとして知覚または認識するような音響エネルギーのまとまり(これを知覚的な音と呼ぶ)を一つのものとして記号化することを指す。われわれは既に、ベイズの定理に基礎を置く定量的かつ階層的な情報統合のメカニズムを備えた音楽情景分析の処理モデルOPTIMA(Organized Processing toward Intelligent Music Scene Analysis)を提案した。この処理モデルに基づき、音楽情景分析の実験システムを実装し検討を行ったので、本稿でその概要を報告する。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"98","bibliographic_titles":[{"bibliographic_title":"全国大会講演論文集"}],"bibliographicPageStart":"97","bibliographicIssueDates":{"bibliographicIssueDate":"1995-03-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"人工知能及び認知科学","bibliographicVolumeNumber":"第50回"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"id":127358,"links":{}}