Due to the proliferation of biomedical imaging modalities, such as Photoacoustic
Tomography, Computed Tomography (CT), Optical Microscopy and Tomography, etc …

The constant Q transform (CQT) has been shown to be one of the most effective speech
signal pre-transforms to facilitate synthetic speech detection, followed by either hand-crafted …

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

The growing number of voice-enabled devices and applications consider automatic speaker
verification (ASV) a fundamental component. However, maximum outreach for ASV in critical …

Abstract Automatic Speaker Verification (ASV) systems are vulnerable to a variety of voice
spoofing attacks, eg, replays, speech synthesis, etc. The imposters/fraudsters often use …

With the development of deep learning, synthetic speech has become more and more
realistic and easier to spoof Automatic Speaker Verification (ASV) devices. Based on mining …

The vulnerability of the Automatic Speaker verification technology to different presentation
attacks has drawn much interest to design anti-spoofing countermeasures. Following their …

Liveness detection has emerged as an important research issue for many biometrics, such
as face, iris, hand geometry, etc. and significant research efforts are reported in the literature …

This work explores linear prediction (LP) residual based excitation source features for
detection of replay speech signals. The LP residual signal is derived from speech using the …

User identification (UI) with human speech is important in voice biometrics for user
authentication. However, the recognized speech is at risk of being spoofed when an intruder …