{"links":{},"id":186631,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00186631","sets":["1164:8666:9438:9439"]},"path":["9439"],"owner":"11","recid":"186631","title":["スマートフォンを用いた深層学習による警告音認識システムの改良"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-03-02"},"_buckets":{"deposit":"4b4279a1-4600-4a69-b7b8-ef5be18ea2a7"},"_deposit":{"id":"186631","pid":{"type":"depid","value":"186631","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"スマートフォンを用いた深層学習による警告音認識システムの改良","author_link":["419282","419283"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"スマートフォンを用いた深層学習による警告音認識システムの改良"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"音と聴覚障害","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2018-03-02","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"筑波技術大学"},{"subitem_text_value":"筑波技術大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Tsukuba University of Technology","subitem_text_language":"en"},{"subitem_text_value":"Tsukuba 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/186631/files/IPSJ-AAC18006002.pdf","label":"IPSJ-AAC18006002.pdf"},"date":[{"dateType":"Available","dateValue":"2020-03-02"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-AAC18006002.pdf","filesize":[{"value":"781.4 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":"52"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"735f8fd4-4fd3-4534-8bfc-b11577c79df8","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":"矢野, 和希"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"白石, 優旗"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12752949","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":"2432-2431","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"我々は，環境音の中から安全に直結する警告音を確実に認識できるようにするため，深層学習を用いて救急車のサイレンと自転車のベルを識別してユーザに伝達するスマートフォンアプリケーションを開発してきた．本論文では，識別対象にクラクション音と火災警報音を追加するとともに，識別対象以外の音の誤認識への対策も同時に行う．更に，評価実験を行い，5-fold CV 法を用いて識別率および F 値によりシステムの有効性を検証する．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告アクセシビリティ（AAC）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2018-03-02","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicVolumeNumber":"2018-AAC-6"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"created":"2025-01-19T00:53:34.252265+00:00","updated":"2025-01-20T02:30:02.663705+00:00"}