{"updated":"2025-01-22T04:52:11.477212+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00056704","sets":["1164:5159:5162:5167"]},"path":["5167"],"owner":"1","recid":"56704","title":["音楽検索のための感性表現ベクトルと音響特徴量の関係の分析"],"pubdate":{"attribute_name":"公開日","attribute_value":"2008-02-09"},"_buckets":{"deposit":"bb8278e3-f00c-494d-9c5c-bf95e763c233"},"_deposit":{"id":"56704","pid":{"type":"depid","value":"56704","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"音楽検索のための感性表現ベクトルと音響特徴量の関係の分析","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"音楽検索のための感性表現ベクトルと音響特徴量の関係の分析"},{"subitem_title":"The Relation between Emotional Representation Vectors and Acoustic Features for Sound Retrieval","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2008-02-09","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京工科大学メディア学部"},{"subitem_text_value":"東京工科大学メディア学部"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"School of Media Science, Tokyo University of Technology","subitem_text_language":"en"},{"subitem_text_value":"School of Media Science, Tokyo University of Technology","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/56704/files/IPSJ-SLP08070037.pdf"},"date":[{"dateType":"Available","dateValue":"2010-02-09"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-SLP08070037.pdf","filesize":[{"value":"978.7 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"22"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"ee24141b-1654-4824-b49c-e690064213df","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2008 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"上野, 智子"},{"creatorName":"相川, 清明"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Tomoko, Ueno","creatorNameLang":"en"},{"creatorName":"Kiyoaki, Aikawa","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_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"楽しい、悲しい、落ち着いたなどの感性表現で効果音を検索する Sound Advisor システムについてすでに報告している。本研究ではこれらデータベースの楽曲ごとの感性ベクトルを楽曲から自動生成するために音響特徴量と感性ベクトルとの関係の分析をおこなった。効果音楽のパワー、ピッチなどの響特徴と現在ある感性ベクトルとの回帰分析を行うことで、効果音楽の音響パラメータから感情パラメータへの変換行列を導く方法を提案する。","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Emotional representations are more effective than conventional keywords such as genres and artist names in retrieving music. A vector-based Sound Advisor system has been reported for retrieving background music in emotional phrases such as “happy”, “sad”, “calm” or “angry”. This report analyzed the relation between emotional representation vectors and acoustic features for automatically generating emotional representation vector table of the sound retrieval system. This report proposes a method for deriving a transformation matrix from acoustic feature parameters to emotional parameters based on regression analysis.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"216","bibliographic_titles":[{"bibliographic_title":"情報処理学会研究報告音声言語情報処理（SLP）"}],"bibliographicPageStart":"211","bibliographicIssueDates":{"bibliographicIssueDate":"2008-02-09","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"12(2008-SLP-070)","bibliographicVolumeNumber":"2008"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"created":"2025-01-18T23:20:03.848385+00:00","id":56704,"links":{}}