We present JHU's system submission to the ASVspoof 2019 Challenge: Anti-Spoofing with
Squeeze-Excitation and Residual neTworks (ASSERT). Anti-spoofing has gathered more …

In recent years, automatic speaker verification (ASV) is used extensively for voice biometrics.
This leads to an increased interest to secure these voice biometric systems for real-world …

An attacker may use a variety of techniques to fool an automatic speaker verification system
into accepting them as a genuine user. Anti-spoofing methods meanwhile aim to make the …

In recent years, speaker verification systems have been used in many production scenarios.
Unfortunately, they are still very vulnerable to different kinds of spoofing attacks, such as …

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 …

Most of the voice spoofing detection methods are designed for specific kinds of spoofing
attacks, synthetic or replay. In practice, however, there is no prior information about these …

Replay attack is an attempt of using pre-recorded speech samples of any target for acquiring
unauthorized access to the automatic speaker verification (ASV) system. It is a low …

To improve the performance of pathological voice detection and classification, gammatone
spectral latitude (GTSL) features were proposed. GTSL features are inspired by the …

In this paper, we present a brief survey of various approaches used to detect replay attack
for Automatic Speaker Verification (ASV) system. The replay spoofing attack is the most …

Replay attack is most vulnerable to automatic speaker verification system, where the frauds
get the access by replaying pre-recorded voice samples of the genuine speakers. In this …