Many applications include a variety off unctions from different domains. Therefore, they are best modeled with a combination of different modeling languages. For a sound design pr...
A variety of computer vision problems can be optimally posed as Bayesian labeling in which the solution of a problem is dened as the maximum a posteriori (MAP) probability estimate...
This paper proposes an interpolating extension to hidden Markov models (HMMs), which allows more accurate modeling of natural sounds sources. The model is able to produce observat...
We propose a new computation model which combines the operational principles of functional languages (reduction), logic languages (non-deterministic search for solutions), and int...
In this paper, we optimize and evaluate computational models of similarity for sounds from the same instrument class. We investigate four instrument classes: bass drums, snare drum...