{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00094548","sets":["1164:5159:7047:7231"]},"path":["7231"],"owner":"11","recid":"94548","title":["ベイズリスク最小化音声認識の複数仮説を用いた音声検索"],"pubdate":{"attribute_name":"公開日","attribute_value":"2013-07-18"},"_buckets":{"deposit":"0138ef63-2a34-4682-926f-2b2fd3d1c6a7"},"_deposit":{"id":"94548","pid":{"type":"depid","value":"94548","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"ベイズリスク最小化音声認識の複数仮説を用いた音声検索","author_link":["0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ベイズリスク最小化音声認識の複数仮説を用いた音声検索"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"音声対話，検索","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2013-07-18","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"龍谷大学理工学部"},{"subitem_text_value":"龍谷大学理工学研究科"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Faculty of Science and Technology, Ryukoku, University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Science and Technology, Ryukoku University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/94548/files/IPSJ-SLP13097007.pdf"},"date":[{"dateType":"Available","dateValue":"2015-07-18"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-SLP13097007.pdf","filesize":[{"value":"865.3 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"22"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"f9bcd6d7-5cf5-44db-a0cb-2fcbcf9e6dd2","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2013 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"南條浩輝"},{"creatorName":"古谷遼"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10442647","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"音声検索 （音声入力型情報検索） の研究を行う．音声検索システムは，音声認識結果から検索要求を生成して情報検索を行うものである．これまで音声認識に関しては，ベイズリスク最小化の枠組みに基づいて検索にとって重要な単語の誤りを少なくする手法が提案されている．また，音声認識結果からの検索要求生成においては，認識結果の複数仮説を用いて検索要求を生成する研究がこれまでに行われている．しかし，これらの組み合わせ，すなわちベイズリスク最小化音声認識の結果からの検索要求の生成において，認識結果の複数仮説を利用する方法はこれまでにみられない．このような背景に基づき，本研究ではこれらの組み合わせ，すなわち，重要単語の誤りを最小化する音声認識を行って N-best 候補を出力し，検索要求を生成することを提案し，その評価を行う．日本語講演音声ドキュメントの検索タスクにおいて音声検索の評価を行ったところ，提案法が効果的であることがわかった．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"研究報告音声言語情報処理（SLP）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2013-07-18","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"7","bibliographicVolumeNumber":"2013-SLP-97"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"id":94548,"updated":"2025-01-21T14:33:16.514504+00:00","links":{},"created":"2025-01-18T23:41:50.371186+00:00"}