6. The method of claim 4 , wherein the executing occurs in a speech recognition application.
4. A method comprising: determining, from a set of acoustic-phonetic units connected to the output of a neural network and configured to model a set of sounds, a subset of the set of acoustic-phonetic units configured to model a subset of the set of sounds, wherein the neural network comprises at least one output neuron connected to each acoustic-phonetic unit of the set, each output neuron receives a plurality of weighted inputs, the set of acoustic-phonetic units includes stationary units and transition units, and the subset always includes all of the stationary units and only those of the transition units necessary for recognizing all the words contained in the subset; executing the neural network such that only the weighted inputs that are connected to the output neurons that are connected to acoustic-phonetic units in the subset are computed.