<b>Modeling asymmetric compositional data<b>

Frontend Post-processing and Backend M Aurora 2.0/3.0 Datab

We investigate a highly effective and extremely simple noiserobust front end based on novel post-processing of standard MFCC features on the Aurora databases. It performs remarkably well on both the Aurora 2.0 and Aurora 3.0 databases without requiring any increase in model complexity. Our experiments on Aurora 2.0 have been reported in [1]. In this paper, we evaluate this technique on the Auro...

Evaluation of a Noise Adaptive Speech Aurora 3 Datab

In this paper, we present evaluation results of a noise adaptive speech recognition system with combination of several techniques for robust speech recognition. The evaluation was on AURORA 3 database which contains noisy digit utterances collected in real car environments through close-talking and hands-free microphones. The techniques in the system include segmentation, maximum likelihood lin...

Compositional interface dynamics within symmetric and asymmetric planar lipid bilayer membranes

Compositional Asymmetric Cooperations for Process Algebras with Probabilities, Priorities, and Time

The modeling and analysis experience with process algebras has shown the necessity of extending them with priority, probabilistic internal/external choice, and time in order to be able to faithfully model the behavior of real systems and capture the properties of interest. An important open problem in this scenario is how to obtain semantic compositionality in the presence of all these mechanis...

Compositional C++: Compositional Parallel Programming

A compositional parallel program is a program constructed by composing component programs in parallel where the composed pro gram inherits properties of its components In this paper we describe a small extension of C called Compositional C or CC which is an object oriented notation that supports compositional parallel programming CC integrates di erent paradigms of parallel pro gramming data pa...