A Novel Discriminative Method for Pruning Pronunciation Dictionary Entries

Abstract

In this paper we describe a novel discriminative method for pruning pronunciation dictionary. The algorithm removes those entries from the dictionary that affect negatively on speech recognition word error rate. The implementation is simple and requires no tunable parameters. We have carried out preliminary speech recognition experiments, pruning multiword pronunciations created by a phonetician. With the task in hand, we achieved only minimal improvements in recognition results. We are optimistic that the algorithm will prove to be useful in pruning larger dictionaries containing automatically generated pronunciations.