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Anti-Spoofing for Text Independent Speaker Verification

Authors(4):

Dr. SaravananV, Vetri K P, Udhaya Moorthy MK, Aravind D
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This paper describes the scientific study of vulnerability of automatic speaker verification to various vary of spoofing attacks. We start with radical analysis of the spoofing effects of five speech syntheses and eight voice conversion system and also the vulnerability of three speaker verification system under those attacks. Then we introduce variety of countermeasures to prevent the spoofing attacks from the each noted and unknown attackers. Known attacker’s square measure spoofing system those output was used to train the countermeasures, whereas associate unknown assailant is a spoofing system whose output offers to the countermeasures during coaching. Finally we describe benchmark automatic system against human performance on each speaker verification and spoofing deduction task. The main objective of the proposed method is to protect from the spoofing attack for text independent speaker verification.

Dr. SaravananV, Vetri K P, Udhaya Moorthy MK, Aravind D

MATLAB, Automatic Speaker Verification (ASV).

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  5. B. Beranek,  "Voice biometrics: Success stories, success factors and what’s next,"  Biom. Technol. Today, vol. 2013, no. 7, pp. 9–11, 2013.

Publication Details

Published in : Volume 3 | Issue 2 | March-April - 2017
Date of Publication Print ISSN Online ISSN
2017-04-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
298-300 IJSRSET173278   Technoscience Academy

Cite This Article

Dr. SaravananV, Vetri K P, Udhaya Moorthy MK, Aravind D, "Anti-Spoofing for Text Independent Speaker Verification", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 2, pp.298-300 , March-April-2017.
URL : http://ijsrset.com/IJSRSET173278.php