{"created":"2025-01-19T01:38:11.721488+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00236248","sets":["6504:11678:11689"]},"path":["11689"],"owner":"44499","recid":"236248","title":["深層学習を用いた三次元室内音場における壁面吸音率の推定"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"28ed9d6a-f437-4b22-a8ff-58b9511cb92b"},"_deposit":{"id":"236248","pid":{"type":"depid","value":"236248","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"深層学習を用いた三次元室内音場における壁面吸音率の推定","author_link":["645727","645724","645726","645725"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"深層学習を用いた三次元室内音場における壁面吸音率の推定"}]},"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":"電機大"},{"subitem_text_value":"電機大"},{"subitem_text_value":"電機大"},{"subitem_text_value":"電機大"}]},"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/236248/files/IPSJ-Z86-6V-04.pdf","label":"IPSJ-Z86-6V-04.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-03"}],"format":"application/pdf","filename":"IPSJ-Z86-6V-04.pdf","filesize":[{"value":"422.4 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"28ada9da-de31-448d-9982-bee70dd03cf5","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":"丸山, 和旺"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"新井, 大斗"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"佐藤, 元"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"池田, 雄介"}],"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":"コンサートホールなどの室内音響の把握には、壁面の吸音率を知ることは重要である。しかし、ホール全体の吸音率を現場で測定することは困難であった。近年、局所に配置されたマイクロホンアレイで計測された室内インパルス応答から、機械学習ベースの吸音率推定手法が提案されている。しかし、直方体など単純な部屋形状に対する検討であり、より複雑な部屋形状に対する有効性は明らかではない。そこで、本研究では、少数の室内インパルス応答から、任意の四辺形の部屋形状における平行な天井面と床面を含めた6面に対して、機械学習を用いた吸音率推定手法を提案する。実験では、シミュレーションを用いて推定精度を検証し、その結果を報告する。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"830","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"829","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":236248,"updated":"2025-01-19T09:20:04.526870+00:00","links":{}}