Isolated word recognition using a segmental approach

Building reference sets for speaker independent isolated word recognition systems using multiple references implies a considerable effort. Whenever the vocabulary is specific to some domain a segment based approach should allow to change the vocabulary without having to record new speakers. We shall examine two possible approaches. The first consists in creating whole word references by concatenating segments. The second uses an algorithm originally designed for connected word recognition. Performances for these two approaches are compared.