Estimation of mixtures of stochastic dynamic trajectories: application to continuous speech recognition

In this work we extend our previously proposed stochastic mixture trajectory models to modelling time correlation. To achieve this extension we explicitly model the time evolution of an observed trajectory by the sum of a first order AR process and a mean component. This approach generalizes that employed in Digalakis et al., by using a mixture of… (More)