Analysing co-articulation using frame-based feature trajectories

Abstract

We investigate several approaches aimed at a more detailed understanding of co-articulation in spoken utterances. We find that the Euclidean difference between instantaneous frame-based feature values and the mean values of these features are most useful for these purposes, and that low-order polynomials are able to model the between-phone transitions accurately. Examples of typical transitions are presented, and shown to give useful insights on the measurable effects of co-articulation.