{"created":"2025-01-19T01:29:47.114326+00:00","updated":"2025-01-19T11:15:26.818404+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00230180","sets":["6504:11436:11440"]},"path":["11440"],"owner":"44499","recid":"230180","title":["音声中の音声検索語検出における音声データの最尤および上位の状態系列の利用による検索精度向上"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"de09e0bd-581f-4d6d-b56e-918d3e2fd0a8"},"_deposit":{"id":"230180","pid":{"type":"depid","value":"230180","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"音声中の音声検索語検出における音声データの最尤および上位の状態系列の利用による検索精度向上","author_link":["619279","619282","619281","619280"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"音声中の音声検索語検出における音声データの最尤および上位の状態系列の利用による検索精度向上"}]},"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":"岩手県大"},{"subitem_text_value":"岩手県大"},{"subitem_text_value":"産総研"},{"subitem_text_value":"岩手県大"}]},"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/230180/files/IPSJ-Z85-1W-05.pdf","label":"IPSJ-Z85-1W-05.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-1W-05.pdf","filesize":[{"value":"772.1 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"d6dfacee-1da8-4483-ac67-77ccfc429612","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":"皆川, 玲緒"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小嶋, 和徳"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"李, 時旭"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"伊藤, 慶明"}],"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":"音声中の音声検索語検出では，深層学習モデルから算出した音声クエリと音声データの全事後確率ベクトル(Posteriorgram)を用いたPosteriorgram照合方式が提案されており，高精度な検索が可能である一方，メモリ使用量が多く検索に長い時間を要する．メモリ使用量と検索時間の削減のため，各フレームの事後確率ベクトルのうち最も確率値の高い状態番号の情報を用いた照合方式が複数提案されているが，2位以降の情報が失われているため検索精度が低下する．本稿では，各フレームの事後確率値のうち1位からn位までの状態番号を利用することで2位以降の情報を補完する，上位n件状態番号利用方式を提案する．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"790","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"789","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":230180,"links":{}}