Paper: Feature-Based Pronunciation Modeling For Speech Recognition

ACL ID N04-4021
Title Feature-Based Pronunciation Modeling For Speech Recognition
Venue Human Language Technologies
Session Short Paper
Year 2004

We present an approach to pronunciation mod- eling in which the evolution of multiple lin- guistic feature streams is explicitly represented. This differs from phone-based models in that pronunciation variation is viewed as the result of feature asynchrony and changes in feature values, rather than phone substitutions, inser- tions, and deletions. We have implemented a flexible feature-based pronunciation model us- ing dynamic Bayesian networks. In this paper, we describe our approach and report on a pilot experiment using phonetic transcriptions of ut- terances from the Switchboard corpus. The ex- perimental results, as well as the model’s quali- tative behavior, suggest that this is a promising way of accounting for the types of pronuncia- tion variation often seen in spontaneous speec...