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Acoustic Modeling Improvements in a Segment-Based Speech Recognizer

Abstract - In this paper we report on some recent improvements on the acoustic modeling in a segment-based speech recognition system.  Context-dependent segment models and improved pro-nunciation modeling are shown to reduce word error rates in a phone-based, conversational system by over 18%, while the technique of Gaussian selection reduces overall computation by more than a factor of two.