1. A method for adapting a model for a speech recognition system, comprising: determining an expected response; acquiring a speech input using a speech-input device; generating a hypothesis from the speech input, the hypothesis comprising words, each word having an associated confidence factor; with an apparatus using at least one hardware-implemented processor, automatically identifying an instance of a word (i) recognized by the system within a certain confidence factor range and (ii) included in a hypothesis generated by the system that matches the expected response as a possible error; adding the identified possible error to a count of possible errors; and using the count of possible errors, adjusting the adaption of a model for the word associated with the possible error.