Speech recognition in the articulatory domain: investigating an alternative to acoustic HMMs

Abstract

We describe a speech recognition system which uses a combination of acoustic and articulatory features as input. Linear dynamic models capture the trajectories which characterize each segment type. We describe classification and recognition tasks for systems based on acoustic data in conjunction with both real and automatically recovered articulatory parameters.