ACOUSTIC LEVEL ERROR ANALYSIS IN CONTINUOUS SPEECH RECOGNITION
Luo Chunhua, Mingxing Xu, Fang Zheng · 2000
In this paper, we make a detailed analysis on the errors that may occur in a continuous speech recognition system, and define two sets of judge rules to perform the error analysis. Using these judge rules, we can efficiently find the most important factors that influence the performance of our speech recognition system and know how to improve it. The experimental results show that our judge rules have the ability to identify the types of errors in our system. They are also consistent with some conclusions drawn by other experiments.