Speech enhancement based on the generalized dual excitation model with adaptive analysis window

In this paper, we describe a generalized dual excitation (GDE) speech model that is more accurate in its characterization than the dual excitation (DE) model in that it takes into account pitch variations. This model, together with an analysis window whose length varies adaptively according to the changing characteristics of speech, forms the backbone of a new speech enhancement system. Informal comparisons of the GDE system with the traditional systems have shown a clear preference for the former