{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T16:27:42Z","timestamp":1775579262748,"version":"3.50.1"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,5]],"date-time":"2021-07-05T00:00:00Z","timestamp":1625443200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,5]],"date-time":"2021-07-05T00:00:00Z","timestamp":1625443200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,5]]},"DOI":"10.1109\/icme51207.2021.9428313","type":"proceedings-article","created":{"date-parts":[[2021,6,9]],"date-time":"2021-06-09T21:14:21Z","timestamp":1623273261000},"page":"1-6","source":"Crossref","is-referenced-by-count":26,"title":["Improved Lightcnn with Attention Modules for Asv Spoofing Detection"],"prefix":"10.1109","author":[{"given":"Xinyue","family":"Ma","sequence":"first","affiliation":[{"name":"Tsinghua University,Tsinghua National Laboratory for Information Science and Technology,Department of Electronic Engineering,Beijing,China"}]},{"given":"Tianyu","family":"Liang","sequence":"additional","affiliation":[{"name":"Tsinghua University,Tsinghua National Laboratory for Information Science and Technology,Department of Electronic Engineering,Beijing,China"}]},{"given":"Shanshan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Tencent Research,Beijing,China"}]},{"given":"Shen","family":"Huang","sequence":"additional","affiliation":[{"name":"Tencent Research,Beijing,China"}]},{"given":"Liang","family":"He","sequence":"additional","affiliation":[{"name":"Tsinghua University,Tsinghua National Laboratory for Information Science and Technology,Department of Electronic Engineering,Beijing,China"}]}],"member":"263","reference":[{"key":"ref10","first-page":"2087","article-title":"A Comparison of Features for Synthetic Speech Detection","author":"kinnunen","year":"2015","journal-title":"Conference of the International Speech Communication Association"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.csl.2017.01.001"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2019.2937413"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-1623"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-2249"},{"key":"ref15","article-title":"Squeeze-and-Excitation Networks","volume":"99","author":"hu","year":"2017","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"ref16","first-page":"3","article-title":"CBAM: Convolutional Block Attention Module","author":"woo","year":"2018","journal-title":"arXiv Computer Vision and Pattern Recognition"},{"key":"ref17","first-page":"3141","article-title":"Dual Attention Network for Scene Segmentation","author":"fu","year":"2018","journal-title":"2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref18","article-title":"Network In Network","author":"lin","year":"2013","journal-title":"arXiv Neural and Evolutionary Computing"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2018.2833032"},{"key":"ref4","article-title":"ASVspoof 2019: Automatic speaker verification spoofing and countermeasures challenge evaluation plan","author":"yamagishi","year":"2019"},{"key":"ref3","article-title":"Asvspoof 2017: Automatic speaker verification spoofing and countermeasures challenge evaluation plan","volume":"10","author":"evans","year":"2017","journal-title":"Training"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-2170"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-1768"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-3174"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2020-1810"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2015-462"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2013-288"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-1794"},{"key":"ref20","article-title":"Large-Margin Softmax Loss for Convolutional Neural Networks","author":"liu","year":"2016","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref21","first-page":"2062","article-title":"Combining evidences from mel cepstral, cochlear filter cepstral and instantaneous frequency features for detection of natural vs. spoofed speech","author":"patel","year":"2015","journal-title":"InterSpeech"}],"event":{"name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","location":"Shenzhen, China","start":{"date-parts":[[2021,7,5]]},"end":{"date-parts":[[2021,7,9]]}},"container-title":["2021 IEEE International Conference on Multimedia and Expo (ICME)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9428049\/9428068\/09428313.pdf?arnumber=9428313","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,1]],"date-time":"2023-05-01T18:27:41Z","timestamp":1682965661000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9428313\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,5]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/icme51207.2021.9428313","relation":{},"subject":[],"published":{"date-parts":[[2021,7,5]]}}}