The Application of Segment Models in Hypothesis Testing
Yi Zhang · Zhongwen xinxi xuebao · 2004
This paper introduced the application of Segment Models(SM) in hypothesis testing Compared with HMM, SM relaxes the assumption of the independence of frame features, and thus is powerful in the more precise modeling For decades researchers are engaged in its use for recognition accuracy, but the other fields are rarely dealt with This paper mainly investigates the SM verification (e g Parametric Trajectory Model) in hypothesis testing-alternative PTM provides confidence measurement for HMM result, which is simple but effective On the basis of this, for the special requirement of the acceptance/rejection, Fisher classifier is then used Here SM N Best as input features are proved superior to the HMMs Compared with the traditional methods, the new SM verification achieves excellent performance