The human auditory system is capable of learning unstructured acoustic patterns that occur repeatedly. While most previous studies on perceptual focused seamless pattern repetitions, our study included several presentation formats, which are more typical for memory tasks (involving temporal delays or irrelevant information between presentations), and probed active recognition learned directly. ...

In this paper, we propose a simple and efficient face representation feature that adopts the eigenfaces of Local Binary Pattern (LBP) space, referred to as the LBP eigenfaces, for robust face recognition. In the proposed method, LBP eigenfaces are generated by first mapping the original image space to the LBP space and then projecting the LBP space to the LBP eigenface subspace by Principal Com...

In this paper a novel speaker verification spoofing countermeasure based on analysis of linear prediction error is presented. The method analyses the energy of the prediction error, prediction gain and temporal parameters related to the prediction error signal. The idea of the proposed algorithm and its implementation is described in detail. Various binary classifiers were researched to separat...

Automatic facial expression analysis is an interesting and challenging problem, and impacts important applications in many areas such as human–computer interaction and data-driven animation. Deriving an effective facial representation from original face images is a vital step for successful facial expression recognition. In this paper, we empirically evaluate facial representation based on stat...