Input data are translated into a lexical output sequence. Sub-lexical entities and various possible combinations of the entities are identified as states ei and ej of first and second language models, respectively, intended to be stored, with an associated likelihood value and a table having memory areas. Each memory area is intended to contact at least one combination of the states and has an address equal to a value h [(ei:ej)] of a scalar function h applied to parameters peculiar to the combination (ei:ej). There is reduced complexity of accesses to information produced by a single transducer formed by a single Viterbi machine using the models.
Speech recognition method using a single transducer