Using expanded question sets in decision tree clustering for acoustic modelling

Phone-like units (PLUs) for automatic speech recognition are derived using a decision tree algorithm. In our approach we use information such as target phone label, immediate context, lexical stress level and function word affiliation in the decision tree analysis. The resulting PLUs are shown to improve phone and word recognition.