{"updated":"2025-01-20T01:25:30.007690+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00189869","sets":["1164:5064:9400:9504"]},"path":["9504"],"owner":"11","recid":"189869","title":["音楽情報処理のための深層学習"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-06-09"},"_buckets":{"deposit":"88612782-097d-46ad-8615-66b5a28fc8ae"},"_deposit":{"id":"189869","pid":{"type":"depid","value":"189869","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"音楽情報処理のための深層学習","author_link":["433398"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"音楽情報処理のための深層学習"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"招待講演","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2018-06-09","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"株式会社コルグ"}]},"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/189869/files/IPSJ-MUS18119002.pdf","label":"IPSJ-MUS18119002.pdf"},"date":[{"dateType":"Available","dateValue":"2020-06-09"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MUS18119002.pdf","filesize":[{"value":"515.3 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":"21"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"db508c98-89c9-4cdb-a5f0-b66ce7e016d0","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2018 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"阪上, 大地"}],"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":"本稿では音楽情報処理に深層学習を応用する方法を解説する．本稿は二部構成で，ニューラルネットの一般的な設計と学習方法を解説した後，音楽情報処理を含めた各種メディア処理への応用例を紹介する．前半ではパラメータの初期化方法など常識となってしまっている基本的な事柄，Dropout などのよく使われるテクニック，最先端でまだ整理が進んでいない研究成果を順番に解説する．後半では WaveNet や Encoder-Decoder モデルなど各分野の代表的な応用例を紹介し，和音認識 ・ ビートトラッキングなどに深層学習を応用した研究を紹介する．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"13","bibliographic_titles":[{"bibliographic_title":"研究報告音楽情報科学（MUS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2018-06-09","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicVolumeNumber":"2018-MUS-119"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"created":"2025-01-19T00:55:52.295288+00:00","id":189869,"links":{}}