Rejection in Speech Recognition Based on CDCPMs

Rejection is important for two-stage speech recognition. In this paper a new rejection n1ethod based on Center-Distance Continues Probability Mode] (CDCPM) is proposed, named CAP, which is the feature percentage in critical area (CAP) according to the probability theories. Also another rejection method named recognition score gap (RSG) is proposed to cooperate with CAP. Experiments are done across a large real-world database with 20,000 test samples. The average recognition accuracy is 86.33% with 3.46 candidates number on an average.