Improved Variable Preselection List Length Estimation Using NNs In A Large Vocabulary Telephone Speech recognition System

摘要

In very large vocabulary hypothesis-verification systems, the fine acoustic matcher is usually the most itme consuming, so that the main concern is reducing the preselection list length as much as possible. Traditionally, these systems use a too high fixed preselection list length, increasing computational demands over the really needed.