1. A method for adapting a model for a speech recognition system using an adaptation process, the method comprising: with an apparatus using at least one hardware-implemented processor, determining an error rate, corresponding to either recognition of instances of a word or recognition of instances of various words among a set of words; and adjusting an adaptation process for the model for the word or various models for the various words, based on the error rate.
1. A method for adapting a model for a speech recognition system using an adaptation process, the method comprising: with an apparatus using at least one hardware-implemented processor, determining an error rate, corresponding to either recognition of instances of a word or recognition of instances of various words among a set of words; and adjusting an adaptation process for the model for the word or various models for the various words, based on the error rate. 3. The method of claim 1 , wherein the error rate is based on estimated errors estimated from evaluating system and user behavior corresponding to proximate utterances input to the system by the user.