We describe a new approach to speech recognition, in which all Hidden Markov Model (HMM) states share the same Gaussian Mixture Model (GMM) structure with the same number of Gauss...
Daniel Povey, Lukas Burget, Mohit Agarwal, Pinar A...
Models carry the meaning of science. This puts a tremendous burden on the process of model selection. In general practice, models are selected on the basis of their relative goodne...
Mark L. Taper, David F. Staples, Bradley B. Shepar...
Implicit surface modeling systems have been used since the mid-1980s for the generation of cartoon-like characters. Recently implicit models combined with constructive solid geome...
Callum Galbraith, Przemyslaw Prusinkiewicz, Brian ...
The model-based methodology has proven to be effective for fast and low-cost development of embedded software. In the model-based development process, transforming a software stru...
Structured Hidden Markov Model (S-HMM) is a variant of Hierarchical Hidden Markov Model that shows interesting capabilities of extracting knowledge from symbolic sequences. In fact...