{"links":{},"id":57541,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00057541","sets":["1164:5159:5210:5215"]},"path":["5215"],"owner":"1","recid":"57541","title":["音声認識結果の信頼度を用いた頑健な混合主導対話の実現法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2000-02-04"},"_buckets":{"deposit":"f903e59b-c188-4cf1-b11f-fb4a58d8a83d"},"_deposit":{"id":"57541","pid":{"type":"depid","value":"57541","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"音声認識結果の信頼度を用いた頑健な混合主導対話の実現法","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"音声認識結果の信頼度を用いた頑健な混合主導対話の実現法"},{"subitem_title":"A Robust Mixed - Initiative Dialogue System using Confidence Measures of Speech Recognition Results","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2000-02-04","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知能情報学専攻"},{"subitem_text_value":"京都大学情報学研究科知能情報学専攻"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Informatics, Kyoto University","subitem_text_language":"en"},{"subitem_text_value":"Graduate 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/57541/files/IPSJ-SLP99030009.pdf"},"date":[{"dateType":"Available","dateValue":"2002-02-04"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-SLP99030009.pdf","filesize":[{"value":"703.2 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":"4aee0602-528c-4ed7-8ecc-1c121eca96a4","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2000 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"駒谷, 和範"},{"creatorName":"河原, 達也"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Kazunori, Komatani","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":"音声認識結果のスコアから発話内容に関する信頼度を計算し、それを用いてシステム側から効果的な確認・誘導を行う方法について述べる。頑健な音声対話システムを実現するためには、音声認識誤りへの対処は不可欠であり、それに加えて、必要なときにはユーザに質問したりユーザを誘導できるような対話管理戦略が望ましい。そこで、音声認識器の10-best出力とそのスコアから部分文に対する事後確率を計算し、その部分文に対する信頼度とした。これを用いて内容に関する確認発話を適切に行うことができる。また、概念レベルでも発話内容の意味カテゴリについて信頼度を計算することにより、単語の認識がうまくいかなかった場合でも、適切な発話の誘導を行う。これらの評価実験をホテル検索をタスクとして初心者24名の発話を収録して行い、その有効性を確認した。","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"We present a method to realize mixed-initiative dialogue, in which the system makes confirmation and guidance using confidence measures (CMs) derived from speech recognition scores. In order to realize a robust spoken dialogue system, it is inevitable to handle recognition errors, and it is desired for the system to make confirmation and guidance if necessary. We calculate confidence measures by a posteriori probability with 10-best outputs of speech recognizer, and the system can make effective confirmation. We also calculate CMs of semantic categories of utterances, which makes effective guidance utterances even when the word-level CMs are unreliable. Evaluations on the hotel retrieval task shows the effectiveness of this method, which are collected from 24 novice users.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"44","bibliographic_titles":[{"bibliographic_title":"情報処理学会研究報告音声言語情報処理（SLP）"}],"bibliographicPageStart":"39","bibliographicIssueDates":{"bibliographicIssueDate":"2000-02-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"15(1999-SLP-030)","bibliographicVolumeNumber":"2000"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"created":"2025-01-18T23:20:43.340432+00:00","updated":"2025-01-22T04:27:23.302374+00:00"}