In this paper we report on a novel approach for obtaining context dependent phone models for isolated word recognition over the telephone. A simple and efficient adaptation technique based on statistical classification is used to adapt a set of context independent phone models to a new custom vocabulary. Initial results indicated that the proposed methodology can achieve a high recognition performance using a small number of examples from the new vocabulary.