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)


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.


Edge Weight Scale Space Label Probability Coarse Scale Coarse Level 
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  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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