Familiar voice recognition: patterns and parameters Part II: Recognition of rate-altered voices

Electrophysiological Correlates of Familiar Voice Recognition

Our previous work using voice lineups has established that listeners can recognize with near-perfect accuracy the voice of familiar individuals. In a forensic perspective, however, there are limitations to the application of voice lineups in that some witnesses may not wish to recognize the familiar voice of a parent or close friend or else provide unreliable responses. Considering this problem...

Fixation Patterns During Recognition of Personally Familiar and Unfamiliar Faces

Previous studies recording eye gaze during face perception have rendered somewhat inconclusive findings with respect to fixation differences between familiar and unfamiliar faces. This can be attributed to a number of factors that differ across studies: the type and extent of familiarity with the faces presented, the definition of areas of interest subject to analyses, as well as a lack of cons...

Automatic Face Recognition via Local Directional Patterns

Automatic facial recognition has many potential applications in different areas of humancomputer interaction. However, they are not yet fully realized due to the lack of an effectivefacial feature descriptor. In this paper, we present a new appearance based feature descriptor,the local directional pattern (LDP), to represent facial geometry and analyze its performance inrecognition. An LDP feat...

A Bayesian Approach for the Recognition of Control Chart Patterns

In this research, an iterative approach is employed to recognize and classify control chart patterns. To do this, by taking new observations on the quality characteristic under consideration, the Maximum Likelihood Estimator of pattern parameters is first obtained and then the probability of each pattern is determined. Then using Bayes’ rule, probabilities are updated recursively. Finally, when...

Size Training Patterns Test Patterns Recognition Rate Local Features Recognition Rate Context