DocumentCode :
661481
Title :
Voice conversion and spoofing attack on speaker verification systems
Author :
Zhizheng Wu ; Haizhou Li
Author_Institution :
Nanyang Technol. Univ., Singapore, Singapore
fYear :
2013
fDate :
Oct. 29 2013-Nov. 1 2013
Firstpage :
1
Lastpage :
9
Abstract :
Speaker verification system automatically accepts or rejects the claimed identity of a speaker. Recently, we have made major progress in speaker verification which leads to mass market adoption, such as in smartphone and in online commerce for user authentication. A major concern when deploying speaker verification technology is whether a system is robust against spoofing attacks. Speaker verification studies provided us a better insight into speaker characterization, which has contributed to the progress of voice conversion technology. Unfortunately, voice conversion has become one of the most easily accessible techniques to carry out spoofing attack, therefore, presents a threat to speaker verification systems. In this paper, we will briefly introduce the fundamentals of voice conversion and speaker verification technology. We then give an overview of recent spoofing attack studies under different conditions with a focus on voice conversion spoofing attack. We will also discuss anti-spoofing attack measures for speaker verification.
Keywords :
speaker recognition; online commerce; smartphone; speaker characterization; speaker verification system; spoofing attack; user authentication; voice conversion technology; Adaptation models; Databases; Feature extraction; Hidden Markov models; Speech; Speech synthesis; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2013 Asia-Pacific
Conference_Location :
Kaohsiung
Type :
conf
DOI :
10.1109/APSIPA.2013.6694344
Filename :
6694344
Link To Document :
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