On Evaluating A Class Of Frame-Based Nonstationary Pattern Recognition Methods Using Bhattacharyya Distance

摘要

We consider a possible evaluation of frame-based nonstationary pattern recog- nition methods by using the upper bound trajectories of the Bayes error based on the Bhattacharrya distance. The experimental part of the work is based on natural speech Processing, using isolated spoken Serbian Vowels and digits as examples of nonstationary signals.