{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T16:29:47Z","timestamp":1730305787686,"version":"3.28.0"},"reference-count":45,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,12]]},"DOI":"10.1109\/wifs.2018.8630764","type":"proceedings-article","created":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:51:36Z","timestamp":1548982296000},"page":"1-9","source":"Crossref","is-referenced-by-count":6,"title":["Transforming acoustic characteristics to deceive playback spoofing countermeasures of speaker verification systems"],"prefix":"10.1109","author":[{"given":"Fuming","family":"Fang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junichi","family":"Yamagishi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Isao","family":"Echizen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Md","family":"Sahidullah","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tomi","family":"Kinnunen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","author":"glorot","year":"2010","journal-title":"Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics"},{"year":"2017","key":"ref38"},{"key":"ref33","first-page":"2234","article-title":"Improved techniques for training gans","author":"salimans","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref32","first-page":"179","article-title":"Further optimisations of constant q cepstral processing for integrated utterance and text-dependent speaker verification","author":"delgado","year":"2016","journal-title":"Spoken Language Technology Workshop (SLT) 2010"},{"key":"ref31","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"The Journal of Machine Learning Research"},{"key":"ref30","article-title":"Maxout networks","author":"goodfellow","year":"2013","journal-title":"arXiv preprint arXiv 1302 4389"},{"journal-title":"Noisy speech database for training speech enhancement algorithms and tts models","year":"2017","author":"valentini-botinhao","key":"ref37"},{"journal-title":"Device recorded vctk (small subset version)","year":"2018","author":"sarfjoo","key":"ref36"},{"journal-title":"CSTR VCTK corpus English multi-speaker corpus for cstr voice cloning toolkit","year":"2017","author":"veaux","key":"ref35"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.specom.2014.03.001"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2016-1125"},{"key":"ref40","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv preprint arXiv 1412 6980"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.21437\/Odyssey.2018-52"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.21437\/Odyssey.2018-33"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.21437\/Odyssey.2018-43"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/BigMM.2016.14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/5254.708428"},{"key":"ref16","article-title":"The reddots data collection for speaker recognition","author":"lee","year":"2015","journal-title":"Sixteenth Annual Conference of the International Speech Communication Association"},{"key":"ref17","first-page":"249","article-title":"A new feature for automatic speaker verification anti-spoofing: Constant q cepstral coefficients","volume":"25","author":"todisco","year":"2016","journal-title":"Speaker Odyssey Workshop Bilbao Spain"},{"key":"ref18","doi-asserted-by":"crossref","DOI":"10.21437\/Interspeech.2017-360","article-title":"Audio replay attack detection with deep learning frameworks","author":"lavrentyeva","year":"2017","journal-title":"InterSpeech"},{"key":"ref19","doi-asserted-by":"crossref","DOI":"10.21437\/Interspeech.2017-1428","article-title":"Segan: Speech enhancement generative adversarial network","author":"pascual","year":"2017","journal-title":"InterSpeech"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2010.2064307"},{"key":"ref4","article-title":"The ASVspoof2017 challenge: Assessing the limits of replay spoofing attack detection","author":"kinnunen","year":"2017","journal-title":"INTERSPEECH 2017 Annual Conference of the International Speech Communication Association August 20-24 2017 Stockholm Sweden"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1977.tb01600.x"},{"key":"ref3","article-title":"Asvspoof 2015: the first automatic speaker verification spoofing and countermeasures challenge","author":"wu","year":"2015","journal-title":"Sixteenth Annual Conference of the International Speech Communication Association"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.specom.2014.10.005"},{"key":"ref29","article-title":"Network in network","author":"lin","year":"2013","journal-title":"arXiv preprint arXiv 1312 4400"},{"key":"ref5","article-title":"ASVspoof 2017 Version 2.0: meta-data analysis and baseline enhancements","author":"delgado","year":"2018","journal-title":"ODYSSEY 2018 The Speaker and Language Recognition Workshop June 26-29 2018 Les Sables d’Olonne France"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.specom.2014.12.003"},{"key":"ref7","first-page":"1","article-title":"Re-Assessing the Threat of Replay Spoofing Attacks against Automatic Speaker Verification","author":"federico alegre","year":"2014","journal-title":"2014 International Conference of the Biometrics Special Interest Group (BIOSIG) BIOSIG"},{"journal-title":"I 30107-1 2016","article-title":"Information technology Biometric presentation attack detection Part 1: Framework","year":"2016","key":"ref2"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/APSIPA.2014.7041636"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2015.2462851"},{"key":"ref20","article-title":"Vulnerability in speaker verification-a study of technical impostor techniques","author":"lindberg","year":"1999","journal-title":"Sixth European Conference on Speech Communications and Technology"},{"year":"2017","author":"sarfjoo","key":"ref45"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/BTAS.2015.7358783"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/5.18626"},{"journal-title":"A TensorFlow implementation of light convolutional neural network (LCNN)","year":"2018","author":"fang","key":"ref42"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2018.8486579"},{"key":"ref41","article-title":"Tensorflow: Large-scale machine learning on heterogeneous distributed systems","author":"abadi","year":"2016","journal-title":"arXiv preprint arXiv 1603 04467"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2017.2673807"},{"key":"ref44","first-page":"240","article-title":"Can we steal your vocal identity from the internet?: Initial investigation of cloning obamas voice using gan, wavenet and low-quality found data","author":"lorenzo-trueba","year":"2018","journal-title":"Proc Odyssey 2018 The Speaker and Language Recognition Workshop"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1006\/dspr.1999.0361"},{"key":"ref43","article-title":"t-DCF: a detection cost function for the tandem assessment of spoofing countermeasures and automatic speaker verification","author":"kinnunen","year":"2018","journal-title":"CoRR"},{"key":"ref25","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Advances in neural information processing systems"}],"event":{"name":"2018 IEEE International Workshop on Information Forensics and Security (WIFS)","start":{"date-parts":[[2018,12,11]]},"location":"Hong Kong, Hong Kong","end":{"date-parts":[[2018,12,13]]}},"container-title":["2018 IEEE International Workshop on Information Forensics and Security (WIFS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8627366\/8630758\/08630764.pdf?arnumber=8630764","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T23:53:26Z","timestamp":1643241206000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8630764\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/wifs.2018.8630764","relation":{},"subject":[],"published":{"date-parts":[[2018,12]]}}}