4. The method of claim 1 , wherein the first neural network has been trained to provide outputs corresponding to multiple context-dependent states that are derived from a plurality of context-independent states using one or more decision trees.
4. The method of claim 1 , wherein the first neural network has been trained to provide outputs corresponding to multiple context-dependent states that are derived from a plurality of context-independent states using one or more decision trees. 6. The method of claim 4 , wherein the multiple context-dependent states are derived from the plurality of context-independent states using divisive, likelihood-based K-means clustering.