Automatic speaker verification (ASV) systems are enhanced enough, that industry is
attracted to use them practically in security systems. However, vulnerability of these systems …

Deepfakes, or artificially generated audiovisual renderings, can be used to defame a public
figure or influence public opinion. With the recent discovery of generative adversarial …

Detecting spoofing attempts of automatic speaker verification (ASV) systems is challenging,
especially when using only one modeling approach. For robustness, we use both deep …

The emergence of biometric technology provides enhanced security compared to the
traditional identification and authentication techniques that were less efficient and secure …

Biometric Systems are automatic methods of verifying the identity of a person based on
some characteristics such as fingerprint, face, speech etc. Speech biometrics involves …

The robustness of an anti-spoofing system is progressively more important in order to
develop a reliable speaker verification system. Previous challenges and datasets mainly …

Substantial progress in spoofing and deepfake detection has been made in recent years.
Nonetheless, the community has yet to make notable inroads in providing an explanation for …

Voice-controlled devices are in demand due to their hands-free controls. However, using
voice-controlled devices in sensitive scenarios like smartphone applications and financial …

Abstract Local Interpretable and Model-agnostic Explanation (LIME), an explainable artificial
intelligence (XAI) approach is adapted to identify the globally important time-frequency …

Detection of spoof is essential for improving the performance of current scenario of
Automatic Speaker Verification (ASV) systems. Empowerment to both frontend and backend …