{"created":"2025-01-19T01:29:12.473335+00:00","updated":"2025-01-19T11:24:20.803049+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00229818","sets":["6504:11436:11440"]},"path":["11440"],"owner":"44499","recid":"229818","title":["移動ロボットのための時変空間相関行列推定に基づく多チャネル音声強調"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"c46ed9b0-0bad-4bd5-9ca4-fbd14cdce444"},"_deposit":{"id":"229818","pid":{"type":"depid","value":"229818","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"移動ロボットのための時変空間相関行列推定に基づく多チャネル音声強調","author_link":["618198","618200","618201","618199"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"移動ロボットのための時変空間相関行列推定に基づく多チャネル音声強調"}]},"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":"2023-02-16","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":"産業総合技術研究所"},{"subitem_text_value":"産業総合技術研究所"},{"subitem_text_value":"産業総合技術研究所"},{"subitem_text_value":"産業総合技術研究所"}]},"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/229818/files/IPSJ-Z85-1C-06.pdf","label":"IPSJ-Z85-1C-06.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-1C-06.pdf","filesize":[{"value":"522.7 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"5630550c-f34c-4203-b864-8a3250f39c06","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"藤田, 雅彦"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"坂東, 宜昭"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"佐々木, 洋子"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"大西, 正輝"}],"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":"本研究では移動ロボットによる音声対話のための多チャネル音声強調について述べる．多くの従来法は音源の静止を仮定しており，移動ロボットでは，歩きながら話しかけてくる人やロボット自身の移動によって強調性能が劣化する. この問題を解決するため，深層回帰により求めた時変な空間相関行列からビームフォーミングする枠組みが提案されている．本研究ではこの手法を拡張し，強調性能の高性能化とロボット上での実時間処理を目指す．具体的には，ビームフォーマの改良および，ブロックオンライン化による準実時間システム化を行う．実際のロボットで収集した騒音信号を用いた数値実験により，提案法の有効性を確認した．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"34","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"33","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":229818,"links":{}}