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Circuits, Systems, and Signal ProcessingVolume 19, Issue 5, 2000, Pages 467-485

On evaluating a class of frame-based nonstationary pattern recognition methods using Bhattacharyya distance(Article)

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  • aInst. of Appl. Math. and Electronics, Kneza Miloša 37, 11000 Belgrade, Serbia
  • bFaculty of Electrical Engineering, University of Belgrade, Bulevar Revolucije 73, 11000 Belgrade, Serbia

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.

Indexed keywords

Engineering controlled terms:AlgorithmsError analysisMathematical modelsParameter estimationRecursive functionsSpeech analysisSpeech processing
Engineering uncontrolled termsBayes errorBhattacharyya distanceNonstationary pattern recognition methodSerbin vowelsUpper bound trajectories
Engineering main heading:Pattern recognition systems
  • ISSN: 0278081X
  • CODEN: CSSPE
  • Source Type: Journal
  • Original language: English
  • DOI: 10.1007/BF01196159
  • Document Type: Article
  • Publisher: Birkhaeuser Boston Inc

  Markovic, Milan; Inst of Applied Mathematics and, Electronics, Serbia
© Copyright 2019 Elsevier B.V., All rights reserved.

Cited by 1 document

Kovačević, B. , Milosavljević, M.M. , Veinović, M.
Robust digital processing of speech signals
(2017) Robust Digital Processing of Speech Signals
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