AUTOMATIC MODELING OF PRONUNCIATION VARIATIONS

Abstract

We report on an automatic method for discovering an appropriate model topology for each context-dependent phoneme, allowing for such phenomena as reduced pronunciations and substituted phonemes. The method leads to a reduction in the word error rate on both the Wall Street Journal and Broadcast News databases.