{"id":214070,"updated":"2025-01-19T16:54:47.676825+00:00","links":{},"created":"2025-01-19T01:14:54.372222+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00214070","sets":["1164:4179:10535:10759"]},"path":["10759"],"owner":"44499","recid":"214070","title":["Effective Integration of Transformer for Network-based Speech Emotion Recognition"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-11-24"},"_buckets":{"deposit":"dda2fd52-6d63-4517-b25a-41b82dcd2c6c"},"_deposit":{"id":"214070","pid":{"type":"depid","value":"214070","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Effective Integration of Transformer for Network-based Speech Emotion Recognition","author_link":["548505","548502","548501","548506","548504","548503"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Effective Integration of Transformer for Network-based Speech Emotion Recognition"},{"subitem_title":"Effective Integration of Transformer for Network-based Speech Emotion Recognition","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"話者・感情認識","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2021-11-24","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"The University of Tokyo"},{"subitem_text_value":"The University of Tokyo"},{"subitem_text_value":"The University of Tokyo"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"The University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"The University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"The University of Tokyo","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/214070/files/IPSJ-NL21251007.pdf","label":"IPSJ-NL21251007.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-24"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-NL21251007.pdf","filesize":[{"value":"1.2 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":"23"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"2747948f-6286-4459-ab18-536c4f56b642","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Yurun, He"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Nobuaki, Minematsu"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Daisuke, Saito"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Yurun, He","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Nobuaki, Minematsu","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Daisuke, Saito","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10115061","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":"2188-8779","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"The performance of a speech emotion recognition (SER) system heavily relies on deep representations learned from training samples. Recently, transformer has exhibited outstanding properties in learning relevant representations for this task. However, to better fuse it with conventional models, experimental investigations are still needed. In this paper, we attempt to take advantage of several integrations of transformer with two most widely used deep learning models - CNN and BLSTM. Experiments on the IEMOCAP benchmark dataset demonstrate that the proposed approaches can make a promising improvement.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"The performance of a speech emotion recognition (SER) system heavily relies on deep representations learned from training samples. Recently, transformer has exhibited outstanding properties in learning relevant representations for this task. However, to better fuse it with conventional models, experimental investigations are still needed. In this paper, we attempt to take advantage of several integrations of transformer with two most widely used deep learning models - CNN and BLSTM. Experiments on the IEMOCAP benchmark dataset demonstrate that the proposed approaches can make a promising improvement.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告自然言語処理（NL）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2021-11-24","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"7","bibliographicVolumeNumber":"2021-NL-251"}]},"relation_version_is_last":true,"weko_creator_id":"44499"}}