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Computer Visual-Auditory Diagnosis of Speech Non-fluency

  • Mariusz Dzieńkowski
  • Wiesława Kuniszyk-Jóźkowiak
  • Elżbieta Smołka
  • Waldemar Suszyński
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 57)

Summary

The paper focuses on the visual-auditory method of analysis for utterances of stuttering people. The method can be classified as an intermediate solution which is in between a traditional auditory and automatic methods. The author prepared a special computer program DiagLog, with the aim of carrying out the visual-auditory analysis, which can be used by logopaedists to make a diagnosis. The speech disfluencies are assessed by means of the observation of the spectrum and the envelope of fragments of recordings with simultaneous listening to them. A collection of 120 a few-minute recordings of 15 stuttering people was used to verify the correctness of the method and to compare it with the traditional auditory technique. All the samples were analysed by means of the auditory and the visual-auditory method by two independent experts. Consequently, the diagnosis using an additional visual aspect proved itself to be more effective in detecting speech non-fluencies, in classifying and measuring them.

Keywords

Speech Signal Spontaneous Speech Speech Disorder Pulse Code Modulation Auditory Analysis 
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. 1.
    Czyżewski, A., Kostek, B., Skarżyński, H.: Technika komputerowa w audio- logii, foniatrii i logopedii. Exit, Warszawa (2002)Google Scholar
  2. 2.
    Suszyński, W., Kuniszyk–Jóźkowiak, W., Smołka, E.: Acoustic methods in diagnosing and therapy of speech disorders. Maintenance and Reliability 7, 19–27 (2000)Google Scholar
  3. 3.
    Kuniszyk-Jóźkowiak, W., Smołka, E., Raczek, B., Suszyński, W.: Metody badań zaburzeń mowy. In: Biosystemy: Biocybernetyka i inżynieria biomedyczna, EXIT, Warszawa, pp. 176–197 (in Polish)Google Scholar
  4. 4.
    Kuniszyk-Jóźkowiak, W., Suszyński, W., Smołka, E.: Metody akustyczne w diagnostyce i terapii niepłynności mowy. In: Biopomiary: Biocybernetyka i inżynieria biomedyczna 2000, t. II, EXIT, Warszawa (2000) (in Polish)Google Scholar
  5. 5.
    Kuniszyk-Jóźkowiak, W., Sztubacki, M.: Perceptive assessment of stutterers’ speech. In: Proc. 24th Congr. Int. Ass. Logoped. Phoniatr. Amsterdam, pp. 721–723 (1998)Google Scholar
  6. 6.
    Kuniszyk-Jóźkowiak, W.: Akustyczna analiza i stymulacja płynności mówienia. Praca habilitacyjna, Lublin (1996)Google Scholar
  7. 7.
    Kuniszyk-Jóźkowiak, W.: Procesy wytwarzania i percepcji mowy u osób jakajacych sie. Logopedia 22, 83–93 (1995) (in Polish)Google Scholar
  8. 8.
    Kuniszyk-Jóźkowiak, W.: A comparison of speech envelopes of stutterers and nonstutterers. The Journal of the Acoustical Society of America 100(2), Pt 1, 1105–1110 (1996)Google Scholar
  9. 9.
    Kuniszyk-Jóźkowiak, W.: Distribution of phonation and pause durations in fluent speech and stutterers speech. Archives of Acoustics 17(1), 7–17 (1992)Google Scholar
  10. 10.
    Kuniszyk-Jóźkowiak, W.: The statistical analysis of speech envelopes in stutterers and non-stutterers. Journal of Fluency Disorders 20, 11–23 (1995)CrossRefGoogle Scholar
  11. 11.
    Dzieńkowski, M., Kuniszyk-Jóźkowiak, W., Smołka, E., Suszyński, W.: Cyfrowa analiza plików dźwiekowych. In: VI Lubelskie Akademickie Forum Informatyczne, PTI Lublin, pp. 71–78 (2002) (in Polish)Google Scholar
  12. 12.
    Press, W., Teukolsky, S., Vetterling, W., Flannery, B.: Numerical recipes in C: The Art of Scientific computing. Cambridge University Press, Cambridge (1988-1992)Google Scholar
  13. 13.
    Rabiner, L.R., Schafer, R.W.: Digital processing of speech signals. Bell Labolatories, Englewood Cliffs (1979)Google Scholar
  14. 14.
    Lyons, R.G.: Wprowadzenie do cyfrowego przetwarzania sygnałów. WKŁ, Warszawa (2000) (in Polish)Google Scholar
  15. 15.
    Tadeusiewicz, R.: Sygnał mowy. WKŁ, Warszawa (1988) (in Polish )Google Scholar
  16. 16.
    Zieliński, T.P.: Cyfrowe przetwarzanie sygnałów. WKŁ, Warszawa (2005) (in Polish)Google Scholar
  17. 17.
    Zwicker, E., Fastl, H.: Psychoacoustics - Facts and Models. Springer, Berlin (1990)Google Scholar
  18. 18.
    Suszyński, W., Kuniszyk-Jóźkowiak, W., Smołka, E., Dzieńkowski, M.: Wybrane metody komputerowej analizy sygnału w diagnozowaniu niepłynności mowy. In: Lubelskie Akademickie Forum Informatyczne, Lublin (2002) (in Polish)Google Scholar
  19. 19.
    Bloodstein, O.: A Handbook on Stuttering. Singular Publishing Group, Inc., San Diego (1995)Google Scholar
  20. 20.
    Dzieńkowski, M., Kuniszyk-Jóźkowiak, W., Smołka, E., Suszyński, W.: Komputerowa zindywidualizowana terapia niepłynnej mowy. In: XIII Konferencja Naukowa Biocybernetyka i Inżynieria Biomedyczna, tom I, Gdańsk, pp. 546–551 (in Polish)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Mariusz Dzieńkowski
    • 1
  • Wiesława Kuniszyk-Jóźkowiak
    • 2
  • Elżbieta Smołka
    • 2
  • Waldemar Suszyński
    • 2
  1. 1.Department of Informatics SystemsFaculty of Management, Lublin University of TechnologyPoland
  2. 2.Department of Biocybernetics, Institute of Computer ScienceMaria Curie-Skłodowska UniversityLublinPoland

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