Articulatory synthesis of speech and singing aims for modeling the production process of speech and singing as human-like or natural as possible. The state of the art is described ...
This paper presents a statistical model for textures that uses a non-negative decomposition on a set of local atoms learned from an exemplar. This model is described by the varianc...
We consider a class of component-based software models with interaction style of buffered asynchronous message passing between components with ports, represented by UML-RT. After ...
Wave digital filters (WDFs) were originally developed for robust discrete-time simulation of analog filters, but recently they have been applied successfully to modeling of physica...
In this paper a range synthesis algorithm is proposed as an initial solution to the problem of 3D environment modeling from sparse data. We develop a statistical learning method f...