In this paper, we present the Gauss-Newton method as a unified approach to optimizing non-linear noise compensation models, such as vector Taylor series (VTS), data-driven parall...
Model compensation is a standard way of improving the robustness of speech recognition systems to noise. A number of popular schemes are based on vector Taylor series (vts) compen...
An improved approach for the estimation of the frequency dependent reverberation time (RT) by means of allpass transformed filterbanks is presented. It is shown that by means of ...
Owing to the stochastic nature of discrete processes such as photon counts in imaging, real-world data measurements often exhibit heteroscedastic behavior. In particular, time ser...
We present a fast method for locating iris features in frontal face images based on the Hough transform. It consists of an initial iris detection step and a tracking step which us...