Acoustic Modeling Improvements in a Segment-based Speech Recognizer
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چکیده
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 pronunciation modeling are shown to reduce word error rates in a telephone-based, conversational system by over 18%, while the technique of Gaussian selection reduces overall computation by more than a factor of two.
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تاریخ انتشار 1999