{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00142036","sets":["1164:5064:7900:8256"]},"path":["8256"],"owner":"11","recid":"142036","title":["全極スペクトルモデルと擬似周期信号モデルのウェーブレット変換を用いた多重音スペクトログラムの調波時間因子分解"],"pubdate":{"attribute_name":"公開日","attribute_value":"2015-05-16"},"_buckets":{"deposit":"b7368881-ad20-41f3-afb6-accb0adc391e"},"_deposit":{"id":"142036","pid":{"type":"depid","value":"142036","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"全極スペクトルモデルと擬似周期信号モデルのウェーブレット変換を用いた多重音スペクトログラムの調波時間因子分解","author_link":["209326","209325"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"全極スペクトルモデルと擬似周期信号モデルのウェーブレット変換を用いた多重音スペクトログラムの調波時間因子分解"}]},"item_type_id":"4","publish_date":"2015-05-16","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／日本電信電話株式会社NTTコミュニケーション科学基礎研究所"}]},"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/142036/files/IPSJ-MUS15107050.pdf"},"date":[{"dateType":"Available","dateValue":"2017-05-16"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MUS15107050.pdf","filesize":[{"value":"1.4 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"21"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"96a06219-eb11-4e40-ab73-f589551757be","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2015 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"中村, 友彦"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"亀岡, 弘和"}],"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":"多重音解析では，観測振幅スペクトログラムを非負値行列とみなし非負値行列因子分解を適用するアプローチと，計算論的聴覚情景分析に基づくアプローチが主に用いられてきた．本報告では，この ２ つのアプローチの利点を兼ね備えた新たなスペクトログラムモデルを導出し，それに基づく多重音解析手法である調波時間因子分解について述べる．音源の連続時間信号モデルとして擬似周期信号から出発し，各音源のウェーブレット変換を導出した後，それらを重畳したもので音楽音響信号のスペクトログラムを表現する．さらに，離散時間信号領域で定義された自己回帰モデルをスペクトログラムモデルに導入にできることを示す．このモデルに対し，ビブラートやポルタメントで起こる基本周波数の時間変動や，調による音高の出現頻度の偏りなどの音楽特有の性質を補助情報として組み込んだ，効率的なパラメータ推論アルゴリズムを導出する．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"研究報告音楽情報科学（MUS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2015-05-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"50","bibliographicVolumeNumber":"2015-MUS-107"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"created":"2025-01-19T00:19:32.424182+00:00","updated":"2025-01-20T19:09:25.902338+00:00","id":142036}