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In this paper we show how a pronunciation quality measure can be improved by making use of information on frequent pronunciation errors made by non-native speakers. We propose a new measure, called weighted Goodness of Pronunciation (wGOP), and compare it to the much used GOP measure. We applied this measure to the task of discriminating correctly from incorrectly realized Dutch vowels produced by non-native speakers and observed a substantial increase in performance when sufficient training material is available.