{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,10]],"date-time":"2026-01-10T20:18:04Z","timestamp":1768076284866,"version":"3.49.0"},"reference-count":69,"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":["61972168"],"award-info":[{"award-number":["61972168"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Major Science and Technology Project of Xiamen","award":["3502Z20231007"],"award-info":[{"award-number":["3502Z20231007"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans.Inform.Forensic Secur."],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tifs.2023.3269640","type":"journal-article","created":{"date-parts":[[2023,4,24]],"date-time":"2023-04-24T18:19:30Z","timestamp":1682360370000},"page":"2737-2750","source":"Crossref","is-referenced-by-count":14,"title":["Separable Convolution Network With Dual-Stream Pyramid Enhanced Strategy for Speech Steganalysis"],"prefix":"10.1109","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6653-1734","authenticated-orcid":false,"given":"Yiqin","family":"Qiu","sequence":"first","affiliation":[{"name":"College of Computer Science and Technology, National Huaqiao University, Xiamen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1591-656X","authenticated-orcid":false,"given":"Hui","family":"Tian","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, National Huaqiao University, Xiamen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9158-9401","authenticated-orcid":false,"given":"Haizhou","family":"Li","sequence":"additional","affiliation":[{"name":"School of Data Science, Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7319-5780","authenticated-orcid":false,"given":"Chin-Chen","family":"Chang","sequence":"additional","affiliation":[{"name":"Department of Information and Computer Science, Feng Chia University, Taichung, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1902-9877","authenticated-orcid":false,"given":"Athanasios V.","family":"Vasilakos","sequence":"additional","affiliation":[{"name":"Center for AI Research, University of Agder, Grimstad, Norway"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-018-6600-6"},{"key":"ref57","first-page":"1243","article-title":"Convolutional sequence to sequence learning","volume":"70","author":"gehring","year":"2017","journal-title":"Proc 34th Int Conf Mach Learn"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2012.2218599"},{"key":"ref56","first-page":"1","article-title":"Attention is all you need","volume":"30","author":"vaswani","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-018-6867-7"},{"key":"ref59","year":"2022"},{"key":"ref14","first-page":"275","article-title":"Pitch delay based adaptive steganography for AMR speech stream","author":"gong","year":"2018","journal-title":"Proc 17th Int Workshop Digit Watermarking (IWDW)"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2018.2806741"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2913372"},{"key":"ref52","article-title":"Layer normalization","author":"ba","year":"2016","journal-title":"arXiv 1607 06450"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-021-00790-w"},{"key":"ref55","first-page":"3","article-title":"CBAM: Convolutional block attention module","author":"woo","year":"2018","journal-title":"Proc 15th Eur Conf Comput Vis (ECCV)"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/7080673"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00928-1_48"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2008.4518532"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1080\/02564602.2020.1757520"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/EESCO.2015.7254029"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2012.05.003"},{"key":"ref51","article-title":"Gaussian error linear units (GELUs)","author":"hendrycks","year":"2016","journal-title":"arXiv 1606 08415"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/3335203.3335735"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2019.2936913"},{"key":"ref48","first-page":"1308","article-title":"Steganalysis of adaptive multi-rate speech streams based on the correlation of fractional pitch delay","volume":"45","author":"tian","year":"2022","journal-title":"Chin J Comput"},{"key":"ref47","first-page":"783","article-title":"Hierarchical representation network for steganalysis of QIM steganography in low-bit-rate speech signals","volume":"11999","author":"yang","year":"2019","journal-title":"Proc Int Conf Inf Commun Secur"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref41","article-title":"Rigid-motion scattering for image classification","author":"sifre","year":"2014"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00716"},{"key":"ref43","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017","journal-title":"arXiv 1704 04861"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107561"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-013-0302-8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/GLOCOM.2008.ECP.375"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-015-0500-7"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.09.091"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/math9212829"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/s21041032"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2002.802005"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2016.2636087"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.12.035"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-85886-7_33"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1049\/iet-spr.2016.0690"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-013-1406-z"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2943504"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-21373-2_39"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1117\/12.477313"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3335203.3335708"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2018.03.012"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cosrev.2020.100316"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CESA.2006.4281614"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2018.2847678"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/IIH-MSP.2008.297"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1145\/2560365"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/SCFT.1999.781503"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1145\/3335203.3335738"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/WICOM.2010.5600125"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/WCSP.2009.5371745"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2011.2176116"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-017-4860-1"},{"key":"ref64","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der maaten","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref63","first-page":"1","article-title":"Decoupled weight decay regularization","author":"loshchilov","year":"2019","journal-title":"Proc 7th Int Conf Learn Represent (ICLR)"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-021-02938-7"},{"key":"ref66","first-page":"791","article-title":"A comparative study of ±1 steganalyzers","author":"cancelli","year":"2008","journal-title":"Proc 10th IEEE Workshop Multimed Signal Process"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2019.2905760"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2016.11.013"},{"key":"ref27","first-page":"63","article-title":"Steganalysis of compressed speech based on Markov and entropy","volume":"8389","author":"miao","year":"2013","journal-title":"Proc 12th Int Workshop Digit Watermarking (IWDW)"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"1801","DOI":"10.1109\/TIFS.2015.2421322","article-title":"AMR steganalysis based on the probability of same pulse position","volume":"10","author":"ren","year":"2015","journal-title":"IEEE Trans Inf Forensics Security"},{"key":"ref60","year":"2022"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref61","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"J Mach Learn Res"}],"container-title":["IEEE Transactions on Information Forensics and Security"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10206\/9970396\/10107475.pdf?arnumber=10107475","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T17:32:13Z","timestamp":1685381533000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10107475\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":69,"URL":"https:\/\/doi.org\/10.1109\/tifs.2023.3269640","relation":{},"ISSN":["1556-6013","1556-6021"],"issn-type":[{"value":"1556-6013","type":"print"},{"value":"1556-6021","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}