Advertisement

Automatic Detection of Disorders in a Continuous Speech with the Hidden Markov Models Approach

  • Marek Wiśniewski
  • Wieslawa Kuniszyk-Jóźkowiak
  • Elzbieta Smołka
  • Waldemar Suszyński
Part of the Advances in Soft Computing book series (AINSC, volume 45)

Abstract

Hidden Markov Models are widely used for recognition of any patterns appearing in an input signal. In the work HMM’s were used to recognize two kind of speech disorders in an acoustic signal: prolongation of fricative phonemes and blockades with repetition of stop phonemes.

Keywords

Window Size Acoustic Signal Automatic Detection Probability Threshold Frame Length 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. [1]
    Kuniszyk-Jóźkowiak W., Smolka E., Suszyński W.: Akustyczna analiza nieplynnosci w wypowiedziach osób jakajacych sice, Technologia mowy i jcezyka. Poznań 2001Google Scholar
  2. [2]
    Suszynski W.: Komputerowa analiza i rozpoznawanie niepłynności mowy, rozprawa doktorska, Gliwice 2005Google Scholar
  3. [3]
    Deller J. R., Hansen J. H. L., Proakis J. G.: Discrete-Time Processing of Speech Signals, IEEE, New York 2000Google Scholar
  4. [4]
    Wahab A., See Ng G., Dickiyanto, R.: Speaker Verification System Based on Human Auditory and Fuzzy Neural Network System, Neurocomputing Manuscript Draft, SingaporeGoogle Scholar
  5. [5]
    Picone J.W.: Signal modeling techniques in speech recognition, Proceedings of the IEEE, 1993, 81(9): 1215–1247CrossRefGoogle Scholar
  6. [6]
    Schroeder, M.R.: Recognition of complex acoustic signals, Life Science Research Report, T.H. Bullock, Ed., (Abakon Verlag, Berlin) vol. 55, pp. 323–328, 1977Google Scholar
  7. [7]
    Tadeusiewicz R.: Sygnal mowy, Warszawa 1988Google Scholar
  8. [8]
    Home R. S.: Spectrogram for Windows, ver. 3.2.1Google Scholar
  9. [9]
    Barro S., Marin R., Fuzzy logic in medicine, Phisica-Verlag, A Springer-Verlag Company, Heidelberg, New York, 2002zbMATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Marek Wiśniewski
    • 1
  • Wieslawa Kuniszyk-Jóźkowiak
    • 1
  • Elzbieta Smołka
    • 1
  • Waldemar Suszyński
    • 1
  1. 1.Institute of Computer ScienceMaria Curie-Sklodowska UniversityLublinPoland

Personalised recommendations