{"created":"2025-01-19T01:38:25.478774+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00236397","sets":["6504:11678:11688"]},"path":["11688"],"owner":"44499","recid":"236397","title":["円形マイクロホンアレイを用いたend-to-end学習による音場再現手法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"b95fa1ce-dfc3-4776-a18e-62e41610ff66"},"_deposit":{"id":"236397","pid":{"type":"depid","value":"236397","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"円形マイクロホンアレイを用いたend-to-end学習による音場再現手法","author_link":["646190","646191","646189","646192"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"円形マイクロホンアレイを用いたend-to-end学習による音場再現手法"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ネットワーク","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/236397/files/IPSJ-Z86-4Y-01.pdf","label":"IPSJ-Z86-4Y-01.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-04"}],"format":"application/pdf","filename":"IPSJ-Z86-4Y-01.pdf","filesize":[{"value":"640.0 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"52608baf-95f4-4bd7-8100-967ff41d5bf1","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":"川瀬, 敬子"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"佐藤, 元"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"津國, 和泉"}],"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":"複数のスピーカを用いて所望音場を物理的に再構成する音場再現技術は、Wave Field SynthesisやHigher Order Ambisonicsなど数多くの研究がなされている。近年、深層学習技術の進歩に伴い、計算量の低減と高いロバスト性の実現を目指して、音場再現技術においても機械学習を用いた手法が提案されてきた。しかし、音場の集音時に使用するマイクロホンアレイの効率的な配置に関しての検討が行われていない。そこで、本研究では円形マイクロホンアレイを用いた機械学習に基づくend-to-endのスピーカ駆動関数決定手法を提案する。シミュレーション実験から、提案手法の音場再現精度について結果を報告する。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"162","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"161","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":236397,"updated":"2025-01-19T09:16:34.768314+00:00","links":{}}