This paper investigates using Gaussian Mixture Model (GMM) based vowel duration features for automated assessment of non-native speech. Two different types of models were compared...
Data analysis in very large databases requires innovative techniques. In an exploration and discovery scenario, the performance of standard SQL techniques can be unacceptable. Thi...
Symbolic representations of systems can achieve a high degree of compaction relative to more explicit forms. By casting an analysis task in terms of operations on a symbolic repre...
Abstract. This paper describes a framework for quantitative analysis of neuroimaging data of traveling human phantoms used for cross-site validation. We focus on the analysis of ma...
Sylvain Gouttard, Martin Styner, Marcel Prastawa...
In this paper, we examine how conclusions about linkability threats can be drawn by analyzing message contents and subject knowledge in arbitrary communication systems. At first, ...