1. A method for constructing acoustic models for use in a speech recognizer, comprising: partitioning speech data from a plurality of training speakers according to at least one speech related criteria; grouping together the partitioned speech data from training speakers having a similar speech characteristic; and training an acoustic bubble model for each group using the speech data within the group.