{"created":"2025-01-19T01:11:35.846975+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00210370","sets":["581:10433:10436"]},"path":["10436"],"owner":"44499","recid":"210370","title":["Replay Attack Detection Based on Spatial and Spectral Features of Stereo Signal"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-15"},"_buckets":{"deposit":"e9bb963d-095c-4b0a-8a8f-95d34ce5322b"},"_deposit":{"id":"210370","pid":{"type":"depid","value":"210370","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Replay Attack Detection Based on Spatial and Spectral Features of Stereo Signal","author_link":["532456","532462","532457","532461","532463","532459","532460","532458"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Replay Attack Detection Based on Spatial and Spectral Features of Stereo Signal"},{"subitem_title":"Replay Attack Detection Based on Spatial and Spectral Features of Stereo Signal","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"[一般論文] automatic speaker verification, replay attack, spoofing countermeasure, generalized cross-correlation","subitem_subject_scheme":"Other"}]},"item_type_id":"2","publish_date":"2021-03-15","item_2_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Tokyo Metropolitan University"},{"subitem_text_value":"Tokyo Metropolitan University"},{"subitem_text_value":"Tokyo Metropolitan University"},{"subitem_text_value":"Tokyo Metropolitan University"}]},"item_2_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Tokyo Metropolitan University","subitem_text_language":"en"},{"subitem_text_value":"Tokyo Metropolitan University","subitem_text_language":"en"},{"subitem_text_value":"Tokyo Metropolitan University","subitem_text_language":"en"},{"subitem_text_value":"Tokyo Metropolitan University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"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/210370/files/IPSJ-JNL6203027.pdf","label":"IPSJ-JNL6203027.pdf"},"date":[{"dateType":"Available","dateValue":"2023-03-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-JNL6203027.pdf","filesize":[{"value":"709.3 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"8"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"36879b68-411a-4bad-bf5b-ca27f59da0b3","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_2_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Ryoya, Yaguchi"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Sayaka, Shiota"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Nobutaka, Ono"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hitoshi, Kiya"}],"nameIdentifiers":[{}]}]},"item_2_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Ryoya, Yaguchi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Sayaka, Shiota","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Nobutaka, Ono","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hitoshi, Kiya","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_2_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00116647","subitem_source_identifier_type":"NCID"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"journal article"}]},"item_2_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1882-7764","subitem_source_identifier_type":"ISSN"}]},"item_2_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"In this paper, we propose a replay attack detection (RAD) method that uses spatial and spectral features of a stereo signal. To distinguish genuine and replayed utterance, we focus on non-speech segments, in which a human does not emit sound, but a loudspeaker for replay attack might emit some recorded noise or its electromagnetic noise. The generalized cross-correlation (GCC) based spatial features capture this difference. To improve the robustness against the variety of recording environments, we combine the spatial features with spectral features. In particular, we fuse the output scores of GCC-based and spectral feature-based methods. In experiments, we confirm the effectiveness of the combination of spatial and spectral features.\n------------------------------\nThis is a preprint of an article intended for publication Journal of\nInformation Processing(JIP). This preprint should not be cited. This\narticle should be cited as: Journal of Information Processing Vol.29(2021) (online)\nDOI　http://dx.doi.org/10.2197/ipsjjip.29.275\n------------------------------","subitem_description_type":"Other"}]},"item_2_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In this paper, we propose a replay attack detection (RAD) method that uses spatial and spectral features of a stereo signal. To distinguish genuine and replayed utterance, we focus on non-speech segments, in which a human does not emit sound, but a loudspeaker for replay attack might emit some recorded noise or its electromagnetic noise. The generalized cross-correlation (GCC) based spatial features capture this difference. To improve the robustness against the variety of recording environments, we combine the spatial features with spectral features. In particular, we fuse the output scores of GCC-based and spectral feature-based methods. In experiments, we confirm the effectiveness of the combination of spatial and spectral features.\n------------------------------\nThis is a preprint of an article intended for publication Journal of\nInformation Processing(JIP). This preprint should not be cited. This\narticle should be cited as: Journal of Information Processing Vol.29(2021) (online)\nDOI　http://dx.doi.org/10.2197/ipsjjip.29.275\n------------------------------","subitem_description_type":"Other"}]},"item_2_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌"}],"bibliographicIssueDates":{"bibliographicIssueDate":"2021-03-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"3","bibliographicVolumeNumber":"62"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":210370,"updated":"2025-01-19T18:11:09.144308+00:00","links":{}}