Voiceproof: Speaker Verification with Captcha A Novel Biometric Access Control Mechanism

M. Nene, R. Mohapatra
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Abstract

Authentication on the digital platform has been a serious concern in today's world. Though fingerprint and facial recognition are being widely used, many methods to circumvent them exist. Voice being another biometric that can be used for individual identification also finds its place in authentication applications because of the promising results reported by various state-of-the-art Automatic Speaker Verification (ASV) systems. Also, voice being the only time-variant remotely available biometric, is unique for authentication applications. The vulnerability of ASV systems to spoofing attacks is also undeniable. Thus, a robust access control system is the need for many applications. This article presents two novel methods to fuse the robustness of CAPTCHA, a well-known method to distinguish human from computer, and uniqueness of voice-biometric for access control applications. It is believed that proposed systems would be efficient for real-time access control systems.
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防声:用验证码验证说话人——一种新的生物识别访问控制机制
在当今世界,数字平台上的身份验证已经成为一个严重的问题。虽然指纹和面部识别被广泛使用,但存在许多绕过它们的方法。语音作为另一种可用于个人身份识别的生物识别技术,也在身份验证应用中找到了自己的位置,因为各种最先进的自动说话人验证(ASV)系统报告了有希望的结果。此外,语音作为唯一的时变远程可用生物识别技术,对于身份验证应用程序来说是独一无二的。ASV系统面对欺骗攻击的脆弱性也是不可否认的。因此,一个强大的访问控制系统是许多应用的需要。本文提出了两种新的方法来融合验证码的鲁棒性和语音生物识别的唯一性。相信所提出的系统将是有效的实时访问控制系统。
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