Evidence from recent psycholinguistic experiments suggests that humans resolve reference incrementally in the presence of constraining visual context. In this paper, we present an...
Matthias Scheutz, Kathleen M. Eberhard, Virgil And...
Standard methods for maximum likelihood parameter estimation in latent variable models rely on the Expectation-Maximization algorithm and its Monte Carlo variants. Our approach is ...
In this paper, a new method for statistical estimation of Mel-frequency cepstral coefficients (MFCCs) in noisy speech signals is proposed. Previous research has shown that model-ba...
Kevin M. Indrebo, Richard J. Povinelli, Michael T....
For a generic flexible efficient array antenna receiver platform a hierarchical reconfigurable tiled architecture has been proposed. The architecture provides a flexible reconfigur...
Kenneth C. Rovers, Marcel D. van de Burgwal, Jan K...
We address the problem in signal classification applications, such as automatic speech recognition (ASR) systems that employ the hidden Markov model (HMM), that it is necessary to...