14. A method of configuring a speech recognition system on a first computer used to run the speech recognition system wherein the speech recognition system was created on a second computer, the method comprising: providing an acoustic model including a plurality of parameters and having a model size based on a number of the parameters included in the acoustic model, the acoustic model including leaf senones on a senone tree and ancestor senones indicative of predecessor senones on the senone tree: obtaining model size criteria; and adjusting the model size based on the size criteria by merging parameters from leaf senones to reduce a number of parameters in the acoustic model.
14. A method of configuring a speech recognition system on a first computer used to run the speech recognition system wherein the speech recognition system was created on a second computer, the method comprising: providing an acoustic model including a plurality of parameters and having a model size based on a number of the parameters included in the acoustic model, the acoustic model including leaf senones on a senone tree and ancestor senones indicative of predecessor senones on the senone tree: obtaining model size criteria; and adjusting the model size based on the size criteria by merging parameters from leaf senones to reduce a number of parameters in the acoustic model. 23. The method of claim 14 wherein the parameters each have an associated data set and wherein merging comprises: merging certain of the parameters based on a reduction in a likelihood of generating the first and second data sets which results from merging the parameters.