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On Finding Objects in Spectrograms: A Multiscale Relaxation Labelling Approach

  • M. P. Cooke
  • P. D. Green
Conference paper
Part of the NATO ASI Series book series (volume 46)

Abstract

This paper describes a new technique for finding objects in spectrograms, and illustrates the idea with an application to the formant-tracking task. Starting with a multiscale representation of speech spectra, a probabilistic relaxation labelling algorithm is applied to determine primitive interpretations of the spectral components. Finally, a cross-scale integration procedure enables the scale space to be collapsed in a principled manner. The techniques are illustrated with an example of voiced speech.

Keywords

Edge Weight Scale Space Label Probability Coarse Scale Coarse Level 
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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References

  1. /GRE 87/.
    P D Green, M P Cooke, H H Lafferty & A J H Simons: A Speech Recognition Strategy Based on Making Acoustic Evidence and Phonetic Knowledge Explicit, these proceedings (1987).Google Scholar
  2. /LEU 86/.
    H C Leung, V W Zue: Visual Characterisation of Speech Spectrograms. Proc. ICASSP, paper 51.1, (1986).Google Scholar
  3. /MAR 82/.
    D Marr: Vision, W H Freeman & Co, (1982).Google Scholar
  4. /WIT 83/.
    A P Witkin: Scale-Space filtering. Proc. IJCAI, (1983), 1019–1022Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1988

Authors and Affiliations

  • M. P. Cooke
    • 1
  • P. D. Green
    • 1
  1. 1.Department of Computer ScienceUniversity of SheffieldSheffieldEngland

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