SPEECH RECOGNITION SYSTEM WITH MAXIMUM ENTROPY LANGUAGE MODELS

摘要

The invention relates to a method of setting a free parameter of an attribute in a maximum-entropy speech model, which free parameter could not be set previously with the help of a training algorithm. It is an object of the invention to provide a speech recognition system 100, a training device 10 and a method of setting such a parameter that has a number of possible interpretations. This object is achieved in accordance with the invention in that is calculated as follows: formula (I) with formula (II) and denominator( = formula (III).