A Comparison Framework for Spectrogram Track Detection Algorithms

  • Thomas A. Lampert
  • Simon E. M. O’Keefe
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 57)


In this paper we present a method which will facilitate the comparison of results obtained using algorithms proposed for the problem of detecting tracks in spectrograms. There is no standard test database which is carefully tailored to test different aspects of an algorithm. This naturally hinders the ability to perform comparisons between a developing algorithm and those which exist in the literature. The method presented in this paper will allow a developer to present, in a graphical way, information regarding the data on which they test their algorithm while not disclosing proprietary information.


Ground Truth Data Distribution Plot Sonar System Comparison Framework Formant Tracking 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Thomas A. Lampert
    • 1
  • Simon E. M. O’Keefe
    • 1
  1. 1.Department of Computer ScienceUniversity of YorkYorkU.K.

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