A hybrid approach that utilizes both statistical techniques and empirical methods seeks to provide more information about the performance of an application. In this paper, we prese...
The new model reduces the impact of local spectral and temporal variability by estimating a finite set of spectral and temporal warping factors which are applied to speech at the f...
Antonio Miguel, Eduardo Lleida, Richard Rose, Luis...
In this paper is presented a new model for data clustering, which is inspired from the selfassembly behavior of real ants. Real ants can build complex structures by connecting the...
Hanene Azzag, Gilles Venturini, Antoine Oliver, Ch...
— The goal of this paper is to develop modeling techniques for complex systems for the purposes of control, estimation, and inference: (i) A new class of Hidden Markov Models is ...
This paper deals with the modelling and evaluation of mission-phased systems devoted to space applications. We propose a two level hierarchical method that allows to model such sy...