{"created":"2025-01-18T23:20:00.784421+00:00","links":{},"updated":"2025-01-22T04:52:35.973463+00:00","id":56638,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00056638","sets":["1164:5159:5162:5165"]},"path":["5165"],"owner":"1","recid":"56638","title":["大学講義のノートテイク支援のための音声認識用言語モデルの適応"],"pubdate":{"attribute_name":"公開日","attribute_value":"2008-07-11"},"_buckets":{"deposit":"40180dd5-ebc0-479d-821f-a4601c2c4145"},"_deposit":{"id":"56638","pid":{"type":"depid","value":"56638","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"大学講義のノートテイク支援のための音声認識用言語モデルの適応","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"大学講義のノートテイク支援のための音声認識用言語モデルの適応"},{"subitem_title":"Language Model Adaptation for Automatic Speech Recognition to Support Note-Taking of Classroom Lectures","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2008-07-11","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"京都大学情報学研究科"},{"subitem_text_value":"京都大学情報学研究科"},{"subitem_text_value":"京都大学情報学研究科"},{"subitem_text_value":"京都大学情報学研究科"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"School of Informatics, Kyoto University","subitem_text_language":"en"},{"subitem_text_value":"School of Informatics, Kyoto University","subitem_text_language":"en"},{"subitem_text_value":"School of Informatics, Kyoto University","subitem_text_language":"en"},{"subitem_text_value":"School of Informatics, Kyoto 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/56638/files/IPSJ-SLP08072005.pdf"},"date":[{"dateType":"Available","dateValue":"2010-07-11"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-SLP08072005.pdf","filesize":[{"value":"1.0 MB"}],"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":"61038064-df9d-41bd-99ac-d6db5d38972e","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2008 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"勝丸徳浩"},{"creatorName":"秋田, 祐哉"},{"creatorName":"森, 信介"},{"creatorName":"河原, 達也"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Norihiro, Katsumaru","creatorNameLang":"en"},{"creatorName":"Yuya, Akita","creatorNameLang":"en"},{"creatorName":"Shinsuke, Mori","creatorNameLang":"en"},{"creatorName":"Tatsuya, Kawahara","creatorNameLang":"en"}],"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":"我々は，大学の講義におけるノートテイク支援を目標とした音声認識システムの研究開発を行っている．本研究では，専門性の高い講義に対して，言語モデルを効率的に適応する方法を検討する．大学の講義では，同一の講師が同一科目を一定期間担当することが通例であるので，以前の講義のデータを活用することを考える．ノートテイクが音声認識結果を評価・選別する応用場面を想定して，認識結果を教師ありで言語モデル適応に用いる方法と，音声認識結果の信頼度に基づいて教師なしで適応する方法を検討する．さらに，講義スライドを用いて， PLSA や Web テキスト収集に基づいて適応する手法との統合も行い，効果を確認した．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"We are developing an automatic speech recognition (ASR) system to assist note-taking in the classroom.  In this work, we focus on an efficient method to adapt the language model (LM) for ASR to university lectures, in which a number of technical terms are used. We assume that one lecturer teaches a specific course subject through a certain period (a semester), and exploit the data of the lectures previously given by the same lecturer.  Specifically, we propose an LM adaptation scheme supervised by the note-takers, who verify the ASR results and filter the well-recognized hypotheses.  We also investigate an unsupervised adaptation method based on the confidence score of ASR.  The methods are combined with other LM adaptation methods based on PLSA and Web text collection using the lecture slides.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"30","bibliographic_titles":[{"bibliographic_title":"情報処理学会研究報告音声言語情報処理（SLP）"}],"bibliographicPageStart":"25","bibliographicIssueDates":{"bibliographicIssueDate":"2008-07-11","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"68(2008-SLP-072)","bibliographicVolumeNumber":"2008"}]},"relation_version_is_last":true,"weko_creator_id":"1"}}