{"links":{},"id":220913,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00220913","sets":["6504:11035:11043"]},"path":["11043"],"owner":"44499","recid":"220913","title":["深層学習を用いた複数音声強調処理のアンサンブル手法の検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-02-17"},"_buckets":{"deposit":"5e1c5ea4-62ea-48e4-be41-ae2b3a3d08ce"},"_deposit":{"id":"220913","pid":{"type":"depid","value":"220913","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"深層学習を用いた複数音声強調処理のアンサンブル手法の検討","author_link":["578128","578130","578129","578127"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"深層学習を用いた複数音声強調処理のアンサンブル手法の検討"}]},"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":"2022-02-17","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":"東工大"},{"subitem_text_value":"東工大"},{"subitem_text_value":"東工大"},{"subitem_text_value":"東工大/ホンダRIJ"}]},"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/220913/files/IPSJ-Z84-5R-05.pdf","label":"IPSJ-Z84-5R-05.pdf"},"date":[{"dateType":"Available","dateValue":"2022-10-22"}],"format":"application/pdf","filename":"IPSJ-Z84-5R-05.pdf","filesize":[{"value":"460.7 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"5772ced8-286c-46f4-b223-692e5b3b03d8","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 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":"糸山, 克寿"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"西田, 健次"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中臺, 一博"}],"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":"本稿では，複数の音声強調処理から生成される時間周波数マスクに対して，深層学習を用いたアンサンブル学習法を提案する．提案手法は複数の規範から生成される時間周波数マスクを用いるため，様々な環境雑音に対応することができる．提案手法により，得られたアンサンブル時間周波数マスクをビームフォーミングに適用し，音声を強調する評価実験を行った結果，提案手法が既存手法を上回り，深層学習によるアンサンブルの有効性を示すことができた．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"338","bibliographic_titles":[{"bibliographic_title":"第84回全国大会講演論文集"}],"bibliographicPageStart":"337","bibliographicIssueDates":{"bibliographicIssueDate":"2022-02-17","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2022"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:20:56.133490+00:00","updated":"2025-01-19T14:22:29.980826+00:00"}