{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T16:18:36Z","timestamp":1772727516333,"version":"3.50.1"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2018,10,1]],"date-time":"2018-10-01T00:00:00Z","timestamp":1538352000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61773071"],"award-info":[{"award-number":["61773071"]}],"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":["61628301"],"award-info":[{"award-number":["61628301"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Beijing National Science Foundation","award":["4162044"],"award-info":[{"award-number":["4162044"]}]},{"DOI":"10.13039\/501100005090","name":"Beijing Nova Program","doi-asserted-by":"publisher","award":["Z171100001117049"],"award-info":[{"award-number":["Z171100001117049"]}],"id":[{"id":"10.13039\/501100005090","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Chinese 111 program of Advanced Intelligence, OCTAVE-Objective Control for TAlker VErification"},{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","award":["647850"],"award-info":[{"award-number":["647850"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]},{"name":"German Science Foundation within the framework of the Research Unit FOR2457 \u201cAcoustic Sensor Networks.\u201d"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2018,10]]},"DOI":"10.1109\/tnnls.2017.2771947","type":"journal-article","created":{"date-parts":[[2017,12,4]],"date-time":"2017-12-04T19:18:21Z","timestamp":1512415101000},"page":"4633-4644","source":"Crossref","is-referenced-by-count":87,"title":["Spoofing Detection in Automatic Speaker Verification Systems Using DNN Classifiers and Dynamic Acoustic Features"],"prefix":"10.1109","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7868-5201","authenticated-orcid":false,"given":"Hong","family":"Yu","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6856-8928","authenticated-orcid":false,"given":"Zheng-Hua","family":"Tan","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2950-2488","authenticated-orcid":false,"given":"Zhanyu","family":"Ma","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9587-4215","authenticated-orcid":false,"given":"Rainer","family":"Martin","sequence":"additional","affiliation":[]},{"given":"Jun","family":"Guo","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"key":"ref38","first-page":"1","article-title":"Probabilistic linear discriminant analysis for inferences about identity","author":"prince","year":"2007","journal-title":"Proc IEEE 11th Int Conf Comput Vis (ICCV)"},{"key":"ref33","doi-asserted-by":"crossref","first-page":"270","DOI":"10.21437\/Odyssey.2016-39","article-title":"Spoofing detection on the ASVspoof2015 challenge corpus employing deep neural networks","author":"alam","year":"2016","journal-title":"IEEE Odyssey Speaker and Language Recognition Workshop"},{"key":"ref32","first-page":"2097","article-title":"Robust deep feature for spoofing detection—The SJTU system for ASVspoof 2015 challenge","author":"chen","year":"2015","journal-title":"Proc Conf Int Speech Commun Assoc (INTERSPEECH)"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2479223"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2522401"},{"key":"ref37","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1109\/NNSP.1999.788121","article-title":"Fisher discriminant analysis with kernels","author":"mika","year":"1999","journal-title":"Proc IEEE Signal Process Soc Workshop Neural Netw Signal Process IX"},{"key":"ref36","first-page":"249","article-title":"A new feature for automatic speaker verification anti-spoofing: Constant Q cepstral coefficients","author":"todisco","year":"2016","journal-title":"IEEE Odyssey Speaker and Language Recognition Workshop"},{"key":"ref35","first-page":"3750","article-title":"ASVspoof 2015: The first automatic speaker verification spoofing and countermeasures challenge","volume":"10","author":"wu","year":"2015","journal-title":"Training"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.specom.2016.10.007"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2015.2407362"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TENCON.2013.6718948"},{"key":"ref11","first-page":"2119","article-title":"Spoofing detection from a feature representation perspective","author":"tian","year":"2016","journal-title":"Proc IEEE Int Conf Acoust Speech Signal Process (ICASSP)"},{"key":"ref12","first-page":"1700","article-title":"Integrated spoofing countermeasures and automatic speaker verification: An evaluation on ASVspoof 2015","author":"sahidullah","year":"2016","journal-title":"Proc Conf Int Speech Commun Assoc (INTERSPEECH)"},{"key":"ref13","first-page":"4401","article-title":"Vulnerability of speaker verification systems against voice conversion spoofing attacks: The case of telephone speech","author":"kinnunen","year":"2012","journal-title":"Proc IEEE Int Conf Acoust Speech Signal Process (ICASSP)"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2012.2201472"},{"key":"ref15","first-page":"1211","article-title":"Vulnerability in speaker verification—A study of technical impostor techniques","volume":"99","author":"lindberg","year":"1999","journal-title":"Proc EUROSPEECH"},{"key":"ref16","first-page":"1700","article-title":"Detecting converted speech and natural speech for anti-spoofing attack in speaker recognition","author":"wu","year":"2012","journal-title":"Proc Conf Int Speech Commun Assoc (INTERSPEECH)"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2015.2398812"},{"key":"ref18","first-page":"2052","article-title":"Spoofing speech detection using high dimensional magnitude and phase features: The NTU approach for ASVspoof 2015 challenge","author":"xiao","year":"2015","journal-title":"Proc Conf Int Speech Commun Assoc (INTERSPEECH)"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2016.2526653"},{"key":"ref28","first-page":"1","article-title":"Effect of multi-condition training and speech enhancement methods on spoofing detection","author":"yu","year":"2016","journal-title":"Proc 1st Int Workshop Sens Process Learn Intell Mach (SPLINE)"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2016.2646458"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2013.05.052"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2010.2064307"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ChinaSIP.2013.6625307"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2531905"},{"key":"ref5","first-page":"186","article-title":"Deep neural network driven mixture of PLDA for robust i-vector speaker verification","author":"li","year":"2016","journal-title":"Proc IEEE\/ACL Workshop Spoken Lang Technol (SLT)"},{"key":"ref8","first-page":"373","article-title":"Unit selection in a concatenative speech synthesis system using a large speech database","volume":"1","author":"hunt","year":"1996","journal-title":"Proc IEEE Int Conf Acoust Speech Signal Process (ICASSP)"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2011.2165944"},{"key":"ref2","first-page":"425","article-title":"Text dependent speaker verification using un-supervised HMM-UBM and temporal GMM-UBM","author":"sarkar","year":"2016","journal-title":"Proc Conf Int Speech Comm Assoc (Interspeech)"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6639215"},{"key":"ref1","first-page":"iv-4072","article-title":"An overview of automatic speaker recognition technology","volume":"4","author":"reynolds","year":"2002","journal-title":"Proc IEEE Int Conf Acoust Speech Signal Process (ICASSP)"},{"key":"ref46","article-title":"TIMIT acoustic-phonetic continuous speech corpus","volume":"10","author":"garofolo","year":"1993","journal-title":"Linguistic Data Consortium"},{"key":"ref20","first-page":"2087","article-title":"A comparison of features for synthetic speech detection","author":"sahidullah","year":"2015","journal-title":"Proc Conf Int Speech Commun Assoc (INTERSPEECH)"},{"key":"ref45","article-title":"An introduction to computational networks and the computational network toolkit","author":"yu","year":"2014"},{"key":"ref48","author":"van den oord","year":"2016","journal-title":"WaveNet A Generative Model for Raw Audio"},{"key":"ref22","article-title":"Connections between nuclear-norm and frobenius-norm-based representations","author":"peng","year":"0","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref47","first-page":"1322","article-title":"Extended RSR2015 for text-dependent speaker verification over VHF channel","author":"larcher","year":"2014","journal-title":"Proc Conf Int Speech Commun Assoc (INTERSPEECH)"},{"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":"Proc Conf Int Speech Commun Assoc (INTERSPEECH)"},{"key":"ref42","first-page":"4625","article-title":"An auditory-based feature for robust speech recognition","author":"shao","year":"2009","journal-title":"Proc IEEE Int Conf Acoust Speech Signal Process (ICASSP)"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2014.2316517"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2012.2199972"},{"key":"ref23","first-page":"2092","article-title":"Relative phase information for detecting human speech and spoofed speech","author":"wang","year":"2015","journal-title":"Proc Conf Int Speech Commun Assoc (INTERSPEECH)"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1006\/dspr.1999.0361"},{"key":"ref26","first-page":"2069","article-title":"Simultaneous utilization of spectral magnitude and phase information to extract supervectors for speaker verification anti-spoofing","author":"liu","year":"2015","journal-title":"Proc Conf Int Speech Commun Assoc (INTERSPEECH)"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1121\/1.400476"},{"key":"ref25","first-page":"2057","article-title":"Classifiers for synthetic speech detection: A comparison","author":"hanil\u00e7i","year":"2015","journal-title":"Proc Conf Int Speech Commun Assoc (INTERSPEECH)"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/8468244\/08128906.pdf?arnumber=8128906","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,9]],"date-time":"2022-08-09T22:01:07Z","timestamp":1660082467000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8128906\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10]]},"references-count":48,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2017.2771947","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,10]]}}}