{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00235863","sets":["6504:11678:11689"]},"path":["11689"],"owner":"44499","recid":"235863","title":["テクスチャ統計量を活用した環境音の教師なし異常検知の検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"cc8707b8-e29c-492d-9e27-b6da2cb77434"},"_deposit":{"id":"235863","pid":{"type":"depid","value":"235863","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"テクスチャ統計量を活用した環境音の教師なし異常検知の検討","author_link":["644556","644555"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"テクスチャ統計量を活用した環境音の教師なし異常検知の検討"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2024-03-01","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"コンピュートロン"},{"subitem_text_value":"東京情報デザイン専門職大"}]},"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/235863/files/IPSJ-Z86-6B-03.pdf","label":"IPSJ-Z86-6B-03.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-03"}],"format":"application/pdf","filename":"IPSJ-Z86-6B-03.pdf","filesize":[{"value":"312.2 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"cde75d66-635d-46e9-ba17-d968511c7308","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"金子, 馨"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"平田, 俊明"}],"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_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"工場の機械稼働音をはじめとした環境音の異常検知を実用化する際、多数に分散したエッジコンピューティングにおけるハードウェアコストの低減が課題である。より安価なエッジ端末で運用できるよう、計算コストが小さい異常検知手法が求められている。既存手法では、一般的なメルスペクトログラム特徴量を用いMobileNetなどの軽量なモデルを活用する方法が知られている。本研究では、さらに計算コストを抑えるため、McDermottらのテクスチャ統計量を用いる方法を検討した。DCASE 2022 Challange Task2データセットで評価し、一定の条件下でテクスチャ統計量が異常検知において有用であることを示す。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"32","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"31","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"updated":"2025-01-19T09:29:21.559597+00:00","created":"2025-01-19T01:37:35.607532+00:00","id":235863}