14. A method as defined in claim 13, wherein the step of processing the training records according to the training algorithm further comprises calculating model parameters for probability models which estimate probabilities of correct recognition of names in the name vocabulary by the speech recognition algorithm as functions of acceptance criteria parameters derived from the stored representations of speech signals and the hidden Markov models.
14. A method as defined in claim 13, wherein the step of processing the training records according to the training algorithm further comprises calculating model parameters for probability models which estimate probabilities of correct recognition of names in the name vocabulary by the speech recognition algorithm as functions of acceptance criteria parameters derived from the stored representations of speech signals and the hidden Markov models. 15. A method as defined in claim 14, wherein the step of processing the training records according to the training algorithm further comprises: calculating rates of incorrect recognition for a plurality of threshold candidates; and selecting as a threshold for acceptance criteria of the speech recognition algorithm one of the threshold candidates, the selected threshold candidate having a rate of incorrect recognition below a predetermined maximum rate of incorrect recognition.