{"id":177371,"updated":"2025-01-20T05:30:43.940364+00:00","links":{},"created":"2025-01-19T00:46:56.035681+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00177371","sets":["6164:6165:6640:9062"]},"path":["9062"],"owner":"11","recid":"177371","title":["ベース音を用いた高速な和音認識手法の提案"],"pubdate":{"attribute_name":"公開日","attribute_value":"2016-07-06"},"_buckets":{"deposit":"e0bb43c2-ebc5-4633-a650-711be73c6252"},"_deposit":{"id":"177371","pid":{"type":"depid","value":"177371","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"ベース音を用いた高速な和音認識手法の提案","author_link":["376205","376204","376202","376203"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ベース音を用いた高速な和音認識手法の提案"}]},"item_type_id":"18","publish_date":"2016-07-06","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_18_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"神奈川工科大学大学院"},{"subitem_text_value":"岡山理科大学総合情報学部情報科学科"},{"subitem_text_value":"神奈川工科大学情報学部情報メディア学科"},{"subitem_text_value":"神奈川工科大学情報学部情報メディア学科"}]},"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/177371/files/IPSJ-DICOMO2016268.pdf","label":"IPSJ-DICOMO2016268.pdf"},"date":[{"dateType":"Available","dateValue":"2016-07-06"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DICOMO2016268.pdf","filesize":[{"value":"674.3 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"f39d92af-4c4b-4b00-a9fc-296cd391f946","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2016 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"竹渕, 瑛一"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"梶並, 知記"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"徳弘, 一路"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"速水, 治夫"}],"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_18_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本論文では，ベース音を用いることで，Chroma-Vector 法で得られる音階情報を音程情報に変換することで，和音認識のパターンマッチを簡略化するための手法を提案する．本研究では，和音と倍音の調波構造に着目することで，音程情報をビットフラグと見立て，演奏情報と和音とのパターンマッチングを行った．評価実験では，著者の一人が試作システムとエレキギターを用いてコードを繰り返し弾弦することで実施した．評価実験の結果，完全一致では F 値が 19.1%，部分一致では F 値が 30.8% となったが，実験中の目視によってどのコードが弾弦されたのか理解できる結果となった．従って，提案手法と機械学習の組み合わせで認識率を向上させることが可能と考えられる．今後の課題として，演奏者がうまく弾けない状況やエレキギターの調波構造を考慮することである．先行研究のように音響信号から和音を認識するアプローチから，押弦位置を認識するアプローチで課題を解決できると考えられる．","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"1847","bibliographic_titles":[{"bibliographic_title":"マルチメディア，分散協調とモバイルシンポジウム2016論文集"}],"bibliographicPageStart":"1840","bibliographicIssueDates":{"bibliographicIssueDate":"2016-07-06","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"2016"}]},"relation_version_is_last":true,"weko_creator_id":"11"}}