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Acoustic Mask for Air Flow Distribution Analysis in Speech Therapy

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Information Technologies in Medicine (ITiB 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 471))

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Abstract

Quantitative analysis of lateral sigmatism is a challenge for contemporary speech therapy. In the paper a prototype of an acquisition device for voice and lateral air flow registration is described. The proposed acoustic mask enables for registration of signal from 7 microphones placed in different positions in the area around the mouth. Tests considering air flows directed centrally and laterally have been conducted. Artificially generated air streams and lateral speech utterances have been considered. Energy distribution analysis has been performed to distinguish the direction of the interferences. The results confirm that the acoustic mask may be used in diagnosis and speech therapy of lateral sigmatism.

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References

  1. Antos, D., Demel, G., Styczek, I.: Jak usuwac seplenienie i inne wady wymowy (How to remove sigmatism and other speech disorders). Panstwowe Zaklady Wydawnictw Szkolnych, Warszawa (1978). (in Polish)

    Google Scholar 

  2. Bell-Berti, F.: An electromyographic study of velopharyngeal function in speech. J. Speech Hear. Res. (1976)

    Google Scholar 

  3. Benselam, Z.A., Guerti, M., Bencherif, M.: Arabic speech pathology therapy computer-aided system. J. Comput. Sci. 3(9) (2007)

    Google Scholar 

  4. Botinhao, C., Noeth, E., Hornegger, J., Maier, A.: Speech classification for sigmatism in children. 1 (2009)

    Google Scholar 

  5. Bugdol, M.D., Segiet, Z., Kręcichwost, M.: Pronunciation error detection using dynamic time warping algorithm. In: Piętka, E., Kawa, J., Więcławek, W. (eds.) Information Technologies in Biomedicine. Volume 284 of Advances in Intelligent Systems and Computing, vol. 4. Springer, Switzerland (2014)

    Google Scholar 

  6. Data sheet of the employed analog-to-digital converter. http://www.mccdaq.com/usb-data-acquisition/USB-1608FS.aspx

  7. Data sheet of the employed microphone. http://eu.mouser.com/ProductDetail/PUI-Audio/POM-3044P-R

  8. Evers, V., Reetz, H., Lahiri, A.: Crosslinguistic acoustic categorization of sibilants independent of phonological status. J. Phonetics 26(4) (1998)

    Google Scholar 

  9. Freitas, J., Teixeira, A.J.S., Silva, S.S., Oliveira, C., Dias, M.S.: Velum movement detection based on surface electromyography for speech interface. In: BIOSIGNALS 2014—Proceedings of the International Conference on Bio-inspired Systems and Signal Processing, ESEO, Angers, Loire Valley, France (2014)

    Google Scholar 

  10. Haley, K.L., Seelinger, E., Mandulak, K.C., Zajac, D.J.: Evaluating the spectral distinction between sibilant fricatives through a speaker-centered approach. J. Phonetics 38(4) (2010)

    Google Scholar 

  11. Krol, D., Lorenc, A., Swiecinski, R.: Detecting laterality and nasality in speech with the use of a multi-channel recorder. In: 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2015)

    Google Scholar 

  12. Lobacz, P., Dobrzanska, K.: Opis akustyczny glosek sybilantnych w wymowie dzieci przedszkolnych (The acoustic description of sibilants in preschool children pronunciation). Audiofonologia 15 (1999)

    Google Scholar 

  13. Miodonska, Z., Bugdol, M.D., Krȩcichwost, M.: Dynamic time warping in phoneme modeling for fast pronunciation error detection. Comput. Biol. Med. 69 (2016)

    Google Scholar 

  14. Nowak, P.M.: The role of vowel transitions and frication noise in the perception of polish sibilants. J. Phonetics 34(2) (2006)

    Google Scholar 

  15. Ostapiuk, B.: Dyslalia. O badaniu jakosci wymowy w logopedii (Dyslalia. About the evaluation of pronunciation in speech therapy). Uniwersytet Szczecinski, Szczecin (2013) (in Polish)

    Google Scholar 

  16. Skorek, E.: Oblicza wad wymowy (The aspects of speech disorders). Warszawa (2001) (in Polish)

    Google Scholar 

  17. Soltys-Chmielowicz, A.: Zaburzenia artykulacji. Teoria i praktyka (Articulation disorders. Theory and practice). Oficyna Wydawnicza Impuls (2011) (in Polish)

    Google Scholar 

  18. Styczek, I.: Logopedia (Speech therapy). Warszawa (1980) (in Polish)

    Google Scholar 

  19. Toda, M., Maeda, S., Honda, K.: Turbulent Sounds. Interface Explorations [IE] 21. De Gruyter Mouton, Berlin (2010)

    Google Scholar 

  20. Trochymiuk, A., Swiecinski, R.: Artykulograficzne badanie wymowy grzbietowej—studium przypadku (Articulography of dorsal pronunciation—a case study). Logopedia (2009) (in Polish)

    Google Scholar 

  21. Valentini-Botinhao, C., Degenkolb-Weyers, S., Maier, A., Noeth, E., Eysholdt, U., Bocklet, T.: Automatic detection of sigmatism in children. 1–4 (2012)

    Google Scholar 

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Acknowledgments

The work has been partially financed by Polish Ministry of Science and Silesian University of Technology statutory financial support for young researchers BKM-508/RAu-3/2016.

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Correspondence to Michał Kręcichwost .

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Kręcichwost, M., Miodońska, Z., Trzaskalik, J., Pyttel, J., Spinczyk, D. (2016). Acoustic Mask for Air Flow Distribution Analysis in Speech Therapy. In: Piętka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technologies in Medicine. ITiB 2016. Advances in Intelligent Systems and Computing, vol 471. Springer, Cham. https://doi.org/10.1007/978-3-319-39796-2_31

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  • DOI: https://doi.org/10.1007/978-3-319-39796-2_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39795-5

  • Online ISBN: 978-3-319-39796-2

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