{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T15:55:45Z","timestamp":1776182145190,"version":"3.50.1"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62072484"],"award-info":[{"award-number":["62072484"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U19B2022"],"award-info":[{"award-number":["U19B2022"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"State Scholarship Foundation","award":["202106380129"],"award-info":[{"award-number":["202106380129"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Signal Process. Lett."],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/lsp.2023.3251895","type":"journal-article","created":{"date-parts":[[2023,3,2]],"date-time":"2023-03-02T18:30:21Z","timestamp":1677781821000},"page":"185-189","source":"Crossref","is-referenced-by-count":40,"title":["Discriminative Frequency Information Learning for End-to-End Speech Anti-Spoofing"],"prefix":"10.1109","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4002-2533","authenticated-orcid":false,"given":"Bingyuan","family":"Huang","sequence":"first","affiliation":[{"name":"Guangdong Key Lab of Information Security, School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4709-5786","authenticated-orcid":false,"given":"Sanshuai","family":"Cui","sequence":"additional","affiliation":[{"name":"Guangdong Key Lab of Information Security, School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7625-5689","authenticated-orcid":false,"given":"Jiwu","family":"Huang","sequence":"additional","affiliation":[{"name":"Guangdong Key Laboratory of Intelligent Information Processing and Shenzhen Key Laboratory of Media Security, Shenzhen University, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3134-0353","authenticated-orcid":false,"given":"Xiangui","family":"Kang","sequence":"additional","affiliation":[{"name":"Guangdong Key Lab of Information Security, School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2020.3038524"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2015-462"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2017-1111"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.21437\/interspeech.2019-2249"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.21437\/ASVSPOOF.2021-8"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2021.3076358"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2021-702"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9414670"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9746163"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2022.3183951"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.21437\/interspeech.2021-993"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.21437\/ASVSPOOF.2021-12"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9746059"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2022.3169954"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9413828"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2021-2125"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3390\/sym14020274"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.21437\/interspeech.2021-1281"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.21437\/ASVSPOOF.2021-10"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9746722"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.21437\/interspeech.2021-438"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2021.3089437"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_38"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9414234"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/SLT.2018.8639585"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.21437\/ASVSPOOF.2021-4"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.21437\/ASVSPOOF.2021-1"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9747766"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.21437\/Odyssey.2022-16"},{"key":"ref30","first-page":"12449","article-title":"wav2vec 2.0: A. framework for self-supervised learning of speech representations","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Baevski","year":"2020"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CCECE.1995.526613"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-1982"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.21437\/interspeech.2020-1011"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.5555\/3045118.3045167"},{"key":"ref35","first-page":"972","article-title":"Self-normalizing neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst","author":"Klambauer","year":"2017"},{"key":"ref36","article-title":"Layer normalization","author":"Ba","year":"2016"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46478-7_31"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.csl.2020.101114"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2020.3009494"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9746213"},{"key":"ref41","first-page":"1","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. Int. Conf. Learn. Represent","author":"Kingma","year":"2015"},{"key":"ref42","first-page":"1","article-title":"SGDR: Stochastic gradient descent with warm restarts","volume-title":"Proc. Int. Conf. Learn. Represent","author":"Loshchilov","year":"2017"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3406703"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00097"}],"container-title":["IEEE Signal Processing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/97\/10036333\/10057965.pdf?arnumber=10057965","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,3]],"date-time":"2024-03-03T00:24:32Z","timestamp":1709425472000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10057965\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":44,"URL":"https:\/\/doi.org\/10.1109\/lsp.2023.3251895","relation":{},"ISSN":["1070-9908","1558-2361"],"issn-type":[{"value":"1070-9908","type":"print"},{"value":"1558-2361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}