{"created":"2025-01-19T00:55:53.631646+00:00","updated":"2025-01-20T01:26:05.729605+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00189893","sets":["1164:5064:9400:9504"]},"path":["9504"],"owner":"11","recid":"189893","title":["Evaluation of DNN-based Speech Recognition for English Spoken by Japanese Learners"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-06-09"},"_buckets":{"deposit":"d14a8939-4198-4d49-b547-da4b729581f3"},"_deposit":{"id":"189893","pid":{"type":"depid","value":"189893","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"Evaluation of DNN-based Speech Recognition for English Spoken by Japanese Learners","author_link":["433483","433481","433484","433482","433480","433485","433486","433487"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Evaluation of DNN-based Speech Recognition for English Spoken by Japanese Learners"},{"subitem_title":"Evaluation of DNN-based Speech Recognition for English Spoken by Japanese Learners","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ポスターセッション","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2018-06-09","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Engineering, Tohoku University"},{"subitem_text_value":"Graduate School of Engineering, Tohoku University"},{"subitem_text_value":"Graduate School of Engineering, Tohoku University"},{"subitem_text_value":"Graduate School of Engineering, Tohoku University"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Engineering, Tohoku University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Engineering, Tohoku University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Engineering, Tohoku University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Engineering, Tohoku University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"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/189893/files/IPSJ-MUS18119026.pdf","label":"IPSJ-MUS18119026.pdf"},"date":[{"dateType":"Available","dateValue":"2020-06-09"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MUS18119026.pdf","filesize":[{"value":"1.3 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":"21"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"eaa3abdc-17a7-4252-a56e-c826c9b9dce4","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2018 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Jiang, Fu"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yuya, Chiba"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takashi, Nose"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Akinori, Ito"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Jiang, Fu","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yuya, Chiba","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takashi, Nose","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Akinori, Ito","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10438388","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":"2188-8752","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"Regarding the assistance of computer-assisted language learning (CALL) systems to make foreign language learning easier, it is necessary to recognize the utterances of the learner with high accuracy. The quality of CALL systems mainly depends on the accuracy of automatic speech recognition (ASR). However, since pronunciation of non-native speakers is greatly different from that of native speakers, existing ASR system cannot well recognize speech accurately. To solve this problem, this research projects an acoustic model based on deep neural networks (DNN), which is trained by using ERJ (English Read by Japanese) database collected from 202 Japanese learners. Compared with traditional ASR systems, this new system significantly promotes speech recognition rate.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Regarding the assistance of computer-assisted language learning (CALL) systems to make foreign language learning easier, it is necessary to recognize the utterances of the learner with high accuracy. The quality of CALL systems mainly depends on the accuracy of automatic speech recognition (ASR). However, since pronunciation of non-native speakers is greatly different from that of native speakers, existing ASR system cannot well recognize speech accurately. To solve this problem, this research projects an acoustic model based on deep neural networks (DNN), which is trained by using ERJ (English Read by Japanese) database collected from 202 Japanese learners. Compared with traditional ASR systems, this new system significantly promotes speech recognition rate.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"5","bibliographic_titles":[{"bibliographic_title":"研究報告音楽情報科学（MUS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2018-06-09","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"26","bibliographicVolumeNumber":"2018-MUS-119"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"id":189893,"links":{}}