Anti-Spoofing for Text Independent Speaker Verification

Authors(4) :-Dr. SaravananV, Vetri K P, Udhaya Moorthy MK, Aravind D

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.

Authors and Affiliations

Dr. SaravananV
Associate Professor, Department of ECE, Jeppiaar SRR Engineering College. Chennai, Tamil Nadu, India
Vetri K P
UG scholars, Department of ECE, Jeppiaar SRR Engineering College., Chennai, Tamil Nadu, India
Udhaya Moorthy MK
UG scholars, Department of ECE, Jeppiaar SRR Engineering College., Chennai, Tamil Nadu, India
Aravind D
UG scholars, Department of ECE, Jeppiaar SRR Engineering College., Chennai, Tamil Nadu, India

MATLAB, Automatic Speaker Verification (ASV).

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Publication Details

Published in : Volume 3 | Issue 2 | March-April 2017
Date of Publication : 2017-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 298-300
Manuscript Number : IJSRSET173278
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

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.
Journal URL : http://ijsrset.com/IJSRSET173278

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