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.
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. 4. The method of claim 3 wherein each of the deep senones is represented by a single discrete output distribution and wherein identifying a pair of parameters to be merged comprises: identifying a pair of output distributions to be merged based on an amount of reduction in likelihood of generating a dataset aligned with the pair of output distributions which results from merging the pair of output distributions.