Abstract
We consider a possible evaluation of frame-based nonstationary pattern recognition 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. The results obtained justify the use of the upper bound trajectories of the Bayes error expressed by the Bhattacharyya distance as a possible evaluation tool for the class of frame-based nonstationary pattern recognition systems.
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Marković, M., Milosavljević, M. & Kovačević, B. On evaluating A class of frame-based nonstationary pattern recognition methods using bhattacharyya distance. Circuits Systems and Signal Process 19, 467–485 (2000). https://doi.org/10.1007/BF01196159
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DOI: https://doi.org/10.1007/BF01196159