This paper presents a unified probabilistic framework for denoising and dereverberation of speech signals. The framework transforms the denoising and dereverberation problems into...
Data on individuals and entities are being collected widely. These data can contain information that explicitly identifies the individual (e.g., social security number). Data can ...
In the process of developing P2P systems simulation has proved to be an essential tool for the evaluation of existing and conceived P2P systems. So far, in practice there has been...
Dieter Hildebrandt, Ludger Bischofs, Wilhelm Hasse...
We propose a framework where behavioural properties of finite-state systems modelled as graph transformation systems can be expressed and verified. The technique is based on the ...
We discuss the relationship between the discriminative training of Gaussian models and the maximum entropy framework for log-linear models. Observing that linear transforms leave ...