This paper presents an approach to lexical access in continuous speech recognition systems based on dynamic time warping at the phoneme level, implemented using finite-state transducers. Robustness is thereby achieved in the face of both contingent and necessary imperfections in the phoneme lattice from which lexical access starts. Issues of training, evaluation and context-sensitivity are discussed.