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Automatic Detection of Hypernasality in Children

  • S. Murillo Rendón
  • J. R. Orozco Arroyave
  • J. F. Vargas Bonilla
  • J. D. Arias Londoño
  • C. G. Castellanos Domínguez
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6687)

Abstract

Automatic hypernasality detection in children with Cleft Lip and Palate is made considering five Spanish vowels. Characterization is performed by means of some acoustic and noise features, building a representation space with high dimensionality. Most relevant features are selected using Principal Components Analisis and linear correlation in order to enable clinical interpretation of results and achieving spaces with lower dimensions per vowel. Using a Linear-Bayes classifier, success rates between 80% and 90% are reached, beating success rates achived in similiar studies recently reported.

Keywords

Cleft Lip and Palate Hypernasality Principal Components Analysis speech 

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References

  1. 1.
    Congenital malformations worldwide. International Clearinghouse for Birth Defects Monitoring Systems. Amsterdam, Holland. Tech. Rep. (1991)Google Scholar
  2. 2.
    Castellanos, G., Daza, G., Sanchez, L., Castrillón, O., Suarez, J.: Acoustic speech 177 analysis for hypernasality detection in children. In: 28th Annual International Con. 178 ference of the IEEE Engineering in Medicine and Biology Society, pp. 5507–5510 (2006)Google Scholar
  3. 3.
    Cairns, D., Hansen, J., Riski, J.: A noninvasive technique for detecting hypernasal 181 speech using a nonlinear operator. IEEE Transactions on Biomedical Engineering 43(1), 35–45 (1996)CrossRefGoogle Scholar
  4. 4.
    Maier, A., Hönig, F., Hacker, C., Shuster, M., Nöth, E.: Automatic Evaluation of Characteristic Speech Disorders in Children with Cleft Lip and Palate. In: Proc. of 11th Int. Conf. on Spoken Language Processing, Brisbane, Australia, pp. 1757–1760 (2008)Google Scholar
  5. 5.
    Maier, A., Shuster, M., Haderlein, T., Nöth, E.: Hypernasality in Speech of Children with Cleft Lip and Palate: Automatic Evaluation. In: 8th Int. Seminar on Speech Production, Strasbourg, France, pp. 277–280 (2008)Google Scholar
  6. 6.
    Wertzner, H.F., Schreiber, S., Amaro, L.: Analysis of fundamental frequency, jitter, shimmer and vocal intensity in children with phonological disorders. Rev. Bras. Otorrinolaringol. 71(5), 582–588 (2005)CrossRefGoogle Scholar
  7. 7.
    Setsuko, I.: Effects of Breathy Voice Source on Ratings of Hypernasality. The Cleft Palate-Craniofacial Journal 42(6), 641–648 (2005)CrossRefGoogle Scholar
  8. 8.
    Yumoto, E., Gould, W.J.: Harmonics-to-noise ratio as an index of the degree of hoarseness. Journal of Acoustic Society of America 71(6), 1544–1550 (1982)CrossRefGoogle Scholar
  9. 9.
    Krom, G.: Cepstrum based technique for determining a harmonics-to-noise ratio in speech signals. Journal of Speech, Language and Hearing Research 36(2), 254–266 (1993)CrossRefGoogle Scholar
  10. 10.
    Manfredi, C.: Adaptive Noise Energy Estimation in Pathological Speech Signals. IEEE Transactions on Biomedical Engineering 47(11) (2000)Google Scholar
  11. 11.
    Golding, K.K.: Therapy Techniques for Cleft Palate Speech and Related Disorders. Singular Thomson Learning (2001)Google Scholar
  12. 12.
    Henningsson, G.E., Isberg, A.M.: Velopharyngeal movement patterns in patients alternating between oral and glottal articulation: a clinical and cineradiographical study citation. The Cleft Palate-Craniofacial Journal 23(1), 1–9 (1986)Google Scholar
  13. 13.
    Michaelis, D., Gramss, T., Strube, H.W.: Glottal to Noise Excitation Ratio - a new measure for describing pathological voices. Acustica/Acta 83 (1997)Google Scholar
  14. 14.
    Daza-Santacoloma, G.D., Arias-Londoño, J.D., Godino-Llorente, J.I., Sáenz-Lechón, N., Osma-Ruiz, V., Castellanos, G.: Dynamic feature extraction: An application to voice pathology detection. Intelligent Automation and Soft Computing 15(4), 665–680 (2009)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • S. Murillo Rendón
    • 1
  • J. R. Orozco Arroyave
    • 2
  • J. F. Vargas Bonilla
    • 2
  • J. D. Arias Londoño
    • 3
  • C. G. Castellanos Domínguez
    • 1
  1. 1.Universidad Nacional de Colombia, s. ManizalesColombia
  2. 2.Universidad de Antioquia, MedellínColombia
  3. 3.Universidad Antonio Nariño, BogotáColombia

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