2. The method of claim 1 wherein the acoustic model includes a plurality of deep senones, indicative of leaf senones on a senone tree, having ancestor senones, indicative of predecessor senones on the senone trees, and being characterized by at least one parameter, and wherein adjusting the model size comprises: selecting an ancestor senone; identifying a plurality of deep senones which are descendents of the selected ancestor senone; and clustering parameters in the plurality of deep senones.
2. The method of claim 1 wherein the acoustic model includes a plurality of deep senones, indicative of leaf senones on a senone tree, having ancestor senones, indicative of predecessor senones on the senone trees, and being characterized by at least one parameter, and wherein adjusting the model size comprises: selecting an ancestor senone; identifying a plurality of deep senones which are descendents of the selected ancestor senone; and clustering parameters in the plurality of deep senones. 3. The method of claim 2 wherein identifying a plurality of deep senones comprises: identifying a pair of parameters to be merged corresponding to the plurality of deep senones.