{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T07:24:21Z","timestamp":1730273061455,"version":"3.28.0"},"reference-count":35,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,11]]},"DOI":"10.1109\/iscslp.2018.8706648","type":"proceedings-article","created":{"date-parts":[[2019,5,20]],"date-time":"2019-05-20T18:58:35Z","timestamp":1558378715000},"page":"334-338","source":"Crossref","is-referenced-by-count":2,"title":["Novel Demodulation-Based Features using Classifier-level Fusion of GMM and CNN for Replay Detection"],"prefix":"10.1109","author":[{"given":"Madhu R.","family":"Kamble","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hemlata","family":"Tak","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maddala V. Siva","family":"Krishna","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hemant A.","family":"Patil","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2003.1198866"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/78.277799"},{"key":"ref31","doi-asserted-by":"crossref","first-page":"2415","DOI":"10.1109\/ICSLP.1996.607296","article-title":"Selective use of the speech spectrum and a VQGMM method for speaker identification","volume":"4","author":"lin","year":"1996","journal-title":"Proceedings of the Fourth International Conference on Spoken Language (ICSLP)"},{"journal-title":"Speech Processing&#821A Dynamic and Optimization-Oriented Approach","year":"2003","author":"deng","key":"ref30"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ASRU.2017.8268941"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.1999.758128"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.csl.2017.01.001"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"7","DOI":"10.21437\/Interspeech.2017-450","article-title":"Experimental analysis of features for replay attack detection results on the ASVspoof 2017 challenge","author":"font","year":"2017","journal-title":"InterSpeech"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"12","DOI":"10.21437\/Interspeech.2017-1362","article-title":"Novel variable length Teager energy separation based instantaneous frequency features for replay detection","author":"patil","year":"2017","journal-title":"InterSpeech"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"22","DOI":"10.21437\/Interspeech.2017-930","article-title":"Spoof detection using source, instantaneous frequency and cepstral features","author":"jelil","year":"2017","journal-title":"InterSpeech"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"107","DOI":"10.21437\/Interspeech.2017-676","article-title":"SFF anti-spoofer: IIIT-H submission for automatic speaker verification spoofing and countermeasures challenge 2017","author":"alluri","year":"2017","journal-title":"InterSpeech"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"97","DOI":"10.21437\/Interspeech.2017-1377","article-title":"Replay attack detection using DNN for channel discrimination","author":"nagarsheth","year":"2017","journal-title":"InterSpeech"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"27","DOI":"10.21437\/Interspeech.2017-776","article-title":"Audio replay attack detection using high-frequency features","author":"witkowski","year":"2017","journal-title":"InterSpeech"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"82","DOI":"10.21437\/Interspeech.2017-360","article-title":"Audio replay attack detection with deep learning frameworks","author":"lavrentyeva","year":"2017","journal-title":"InterSpeech"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"17","DOI":"10.21437\/Interspeech.2017-906","article-title":"Countermeasures for automatic speaker verification replay spoofing attack: On data augmentation, feature representation, classification and fusion","author":"cai","year":"2017","journal-title":"InterSpeech"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"102","DOI":"10.21437\/Interspeech.2017-1085","article-title":"ResNet and model fusion for automatic spoofing detection","author":"chen","year":"2017","journal-title":"InterSpeech"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.1990.115702"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1016\/j.asoc.2015.01.036","article-title":"On robustness of speech based biometric systems against voice conversion attack","volume":"30","author":"pal","year":"2015","journal-title":"Applied Soft Computing"},{"key":"ref27","volume":"778","author":"cohen","year":"1995","journal-title":"Time-Frequency Analysis"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-015-3080-9"},{"key":"ref6","first-page":"2037","article-title":"ASVspoof 2015: The first automatic speaker verification spoofing and countermeasures challenge","author":"wu","year":"2015","journal-title":"InterSpeech"},{"journal-title":"Discrete-Time Speech Signal Processing Principles and Practice","year":"2006","author":"quatieri","key":"ref29"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.specom.2014.10.005"},{"key":"ref8","first-page":"2996","article-title":"The RedDots data collection for speaker recognition","author":"lee","year":"2015","journal-title":"InterSpeech"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/APSIPA.2014.7041636"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2015.7178810"},{"key":"ref9","first-page":"1","article-title":"The ASVspoof 2017 challenge: Assessing the limits of replay spoofing attack detection","author":"kinnunen","year":"2017","journal-title":"InterSpeech"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP.2017.8308651"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6639347"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2015.2438008"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2016.7477557"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO.2017.8081178"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2016.2647199"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2008.2004526"},{"key":"ref25","first-page":"308","article-title":"Effectiveness of mel scale-based ESA-IFCC features for classification of natural vs. spoofed speech","author":"kamble","year":"2017","journal-title":"Lecture Notes in Computer Science (LNCS)"}],"event":{"name":"2018 11th International Symposium on Chinese Spoken Language Processing (ISCSLP)","start":{"date-parts":[[2018,11,26]]},"location":"Taipei City, Taiwan","end":{"date-parts":[[2018,11,29]]}},"container-title":["2018 11th International Symposium on Chinese Spoken Language Processing (ISCSLP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8701133\/8706262\/08706648.pdf?arnumber=8706648","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,23]],"date-time":"2020-08-23T19:10:27Z","timestamp":1598209827000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8706648\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/iscslp.2018.8706648","relation":{},"subject":[],"published":{"date-parts":[[2018,11]]}}}