Abstract

The basic motivation for employing trajectory models for speech recognition is that sequences of speech features are statistically dependent and that the e#ective and e#cient modeling of the speech process will incorporate this dependency. In our previous work #1# we presented an approach to modeling the speech process with trajectories. In this paper we continue our developmentofparametric trajectory models for speech recognition. We extend our models to include time-varying covariances and describe our approach for de#ning a metric between speech segments based on trajectory models; it is important in developing mixture models of trajectories.

Citations