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 …

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 …

Abstract The vulnerability of Automatic Speaker Verification (ASV) systems to spoofing or
presentation attacks is still an open security issue. In this context, replay spoofing attacks …

The role of pitch-synchronous source features in the detection of replay attacks on speaker
verification systems has been explored earlier. This letter presents some advancements in …

Replay attack poses a great threat to the Automatic Speaker Verification (ASV) system. This
paper introduces Amplitude Modulation and Frequency Modulation-based features for …

Recent studies have reported the success of linear prediction analysis (LPA)-related
features, which are extracted as a short-term spectral feature for replay attack detection due …

Recurrent neural networks (RNN) and feed-forward multi-layer perceptron's have been
proposed for determining the absence and presence of speech in continuous voice signals …

Nowadays, biometric authentication has gained relevance due to the technological
advances that have allowed its inclusion in many daily-use devices. However, this same …

The automatic speaker verification system is susceptible to replay attacks. Recent literature
has focused on score-level integration of multiple features, phase information-based …

In the present scenario, the popularity of Automatic speaker verification (ASV) is on an
increasing note. The authentication of individuals by doing analysis on speech utterances …