Contextual information is important for sequence modeling. Hidden Markov Models (HMMs) and extensions, which have been widely used for sequence modeling, make simplifying, often u...
When using Bayesian networks, practitioners often express constraints among variables by conditioning a common child node to induce the desired distribution. For example, an ‘orâ...
In this paper, we develop a dual-microphone speech dereverberation algorithm for noisy environments, which is aimed at suppressing late reverberation and background noise. The spe...
Ari Abramson, Emanuel A. P. Habets, Sharon Gannot,...
When ubiquitous computing devices access a contextawareness service, such as a location service, they need some assurance that the quality of the information received is trustwort...
A method for modeling complex CMOS gates by the reduction of each gate to an effective equivalent inverter is introduced. The conducting and parasitic behavior of parallel and ser...
Alexander Chatzigeorgiou, Spiridon Nikolaidis, Ioa...