An Overview of Digital Techniques for Processing Speech Signals

  • Murat Kunt
  • Heinz Hugli
Conference paper
Part of the NATO ASI Series book series (volume 16)


This paper discusses major digital signal processing methods used in processing speech signals. Basic tools, such as the discrete Fourier transform, the z transform and linear filter theory are briefly introduced first. A general view of fast transformation algorithms and most widely used particular fast transformations are given. Linear prediction is then described with a particular emphasis on its lattice structure. A brief introduction to homomorphic processing for multiplied and convolved signals and to its applications in speech processing is given. Recalling some fundamentals of the speech signal, various speech analysis and synthesis models are described, showing which kind of processing methods are involved. Finally, two aspects of speech recognition are presented: feature traction and pattern matching using dynamic time warping.


Impulse Response Speech Signal Discrete Fourier Transform Linear Prediction Vocal Tract 
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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  1. 1.
    M. Kunt, “Traitement numérique des signaux” Presses Polytechniques Romandes, Lausanne, Switzerland, 1980.MATHGoogle Scholar
  2. 2.
    J. D. Markel and A. H. Gray, “Linear prediction of speech” Springer-Verlag, New York, 1976.CrossRefMATHGoogle Scholar
  3. 3.
    L. R. Rabiner and B. Gold, “Theory and application of digital signal procesing”, Prentice Hall, Englewood Cliffs, 1975.Google Scholar
  4. 4.
    T. G. Stockham, T. M. Cannon and R. B. Ingebretsen, “Blind deconvolution through digital signal processing” Proc. IEEE, VolL. 63, No. 4, April 1975, pp. 678–692.CrossRefGoogle Scholar
  5. 5.
    L. R. Rabiner and R. W. Schafer, “Digital processing of speech signals”, Prentice-Hall, N. J., 1978.Google Scholar
  6. 6.
    L. R. Rabiner et al., “A comparatiye study of several pitch detection algorithms”, IEEE Trans. ASSP-24, pp. 399–413.Google Scholar
  7. 7.
    W. Hess, “Algorithmes et methodes pour la determination du fondamental”, 12eme Journees d’Etude sur la Parole, Montreal, May 25–27, 1981.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1985

Authors and Affiliations

  • Murat Kunt
    • 1
  • Heinz Hugli
    • 2
  1. 1.Signal Procesing LaboratorySwiss Federal Institute of TechnologyLausanneSwitzerland
  2. 2.Mircrotechnique InstituteUniversity of NeuchatelNeuchatelSwitzerland

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