Pseudo-Articulatory Representations are increasingly being used in work on speech synthesis and recognition. The value of such representations lies in their derivation from linguistic abstractions - they are based on articulatory idealizations used by linguists to describe speech. Iles [4] has demonstrated that using these representations it is possible to overcome the many-to-one problem in mapping articulatory configuration to acoustic signal. In this paper we show how the representations facilitate the details of speech processing, for both synthesis and recognition, and we give details of work in progress on recognition. The role of Pseudo-Articulatory Representations in the development of an integrated approach to synthesis and recognition is also discussed.