{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00197687","sets":["1164:2735:9724:9827"]},"path":["9827"],"owner":"44499","recid":"197687","title":["ニューラルネットワークによる単一試行脳波信号を用いた音声文中の統語誤り検出"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-06-10"},"_buckets":{"deposit":"061f3c9d-3999-4b31-8262-8acf7d452a8b"},"_deposit":{"id":"197687","pid":{"type":"depid","value":"197687","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"ニューラルネットワークによる単一試行脳波信号を用いた音声文中の統語誤り検出","author_link":["474883","474886","474882","474884","474885","474887"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ニューラルネットワークによる単一試行脳波信号を用いた音声文中の統語誤り検出"},{"subitem_title":"Detection of Syntactic Anomalies in Spoken Sentences from Single-trial EEG Signals with Neural Networks","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2019-06-10","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"奈良先端科学技術大学院大学情報科学研究科"},{"subitem_text_value":"奈良先端科学技術大学院大学情報科学研究科"},{"subitem_text_value":"奈良先端科学技術大学院大学情報科学研究科"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Nara Institute of Science and Technology","subitem_text_language":"en"},{"subitem_text_value":"Nara Institute of Science and Technology","subitem_text_language":"en"},{"subitem_text_value":"Nara Institute of Science and Technology","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/197687/files/IPSJ-MPS19123025.pdf","label":"IPSJ-MPS19123025.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MPS19123025.pdf","filesize":[{"value":"570.0 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"17"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"eda949c7-b7ac-481e-a610-a01a485709ce","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2019 by the Institute of Electronics, Information and Communication Engineers This SIG report is only available to those in membership of the SIG."}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"本村, 駿乃介"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"田中, 宏季"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中村, 哲"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Shunnosuke, Motomura","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hiroki, Tanaka","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Satoshi, Nakamura","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10505667","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_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8833","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本研究では，文中の統語誤りを検出するため，脳波信号を用いたニューラルネットワークモデルによる手法を提案する．文の理解において統語処理が脳波信号に反映することにより，統語誤りを含んだ文に対してP600と呼ばれる事象関連電位が確認されている． しかし，脳波信号中の統語処理を反映した信号のSN比は小さく，単一試行の脳波で統語誤りの検出について報告は少ない．我々は単一試行の脳波信号から音声文中の統語誤り単語を含む文を検出における, Stackedautoencoder(SAE)とLong-shorttermmemory(LSTM)を用いた手法を評価した. 18名の実験協力者が一部の文に統語誤り単語を含む文を音声で聞き，その文の正誤をキーボードのボタンにより応答を行い，その聴取時の脳波信号を収録した．統語誤りに対する脳波信号の分類についてSAEとLSTMを評価するため，既存手法であるSupportvectormachine(SVM)と比較を行った．実験の結果, LSTMによる手法が61.3%の分類精度で, SAEの58.3%とSVMの58.4%と比較してより良い精度を得られることを示した．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In this paper we propose a method with neural networks for detecting  syntactic anomalies  in sentences using electroencephalogram (EEG) signals. To the best of our knowledge, there have been few studies for detect ­ ing syntactic anomalies from single-trial EEG signals. Eighteen participants listened to sentences, some of which included syntactically anomalous words, and answered the correctness of the sentences by pressing a button. During this procedure, we recorded EEG signals of the participants. We evaluated Stacked autoencoders (SAE) and Long-short term memory (LSTM) and a baseline model, Support vector machine (SVM), for classifying EEG signals with respect to syntactic anomalies.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告数理モデル化と問題解決（MPS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2019-06-10","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"25","bibliographicVolumeNumber":"2019-MPS-123"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":197687,"updated":"2025-01-19T22:15:04.052112+00:00","links":{},"created":"2025-01-19T01:02:07.247828+00:00"}