Medical Engineering & Physics
Volume 28, Issue 3 , Pages 276-289 , April 2006

An integrated tool for the diagnosis of voice disorders

Received 27 April 2004 ,Revised 21 February 2005 ,Accepted 6 April 2005.

References 

  1. Smith E, Verdolini K, Gray S, Lemke J, Barkmeier J, Dove J, et al. Effects of voice disorders on Quality of Life. J Med Speech Lang Pathol. 1996;4:223–244
  2. Ramig L, Verdolini K. Treatment efficacy: voice disorders. J Speech Lang Hear Res. 1998;41(1):101–116
  3. Koufman J, Isaacson G. The spectrum of vocal dysfunction. Otolaryngol Clin North Am. 1991;24:985–988
  4. Baken RJ, Orlikoff R. Clinical measurement of speech and voice. 2nd ed.. Singular Publishing Group; 2000;
  5. Fröhlich M, Michaelis D, Kruse E. Image sequences as necessary supplement to a pathological voice database. In: Proceedings of Voicedata’98. 1998;p. 64–69
  6. Värri A, Kemp B, Penzel T, Schlögl A. Standards for biomedical signal databases. IEEE Eng Med Biol Mag. 2001;20(3):33–37May/June
  7. Fourcin A. Databases and criteria for normal and pathological speech: a contribution to discussion. In: Proceedings of Voicedata98. 1998;p. 104–109
  8. Kay Elemetrics Corp. Disordered voice database, Version 1.03; 1994.
  9. Berrojo M, Corrales J, Macias J, Aguilera S. A PC graphic tool for speech research based on DSP board. In: Proceedings of ICSLP 92. 1992;p. 1633–1636
  10. Wallen E, Hansen J. A screening test for speech pathology assessment using objective quality measures. In: Proceedings of ICSLP 96. 1996;p. 776–779
  11. Boyanov B, Hadjitodorov S, Doskov D, Teston B. Software system for pathological voice analysis. In: Proceedings of the Larynx’97. Marseille, France. 1997;p. 139–142
  12. Ursino F, Franchi D, Matteucci F. Organizzazione di un archivo computarizzatto per il laboratorio di foniatria. Acta Phoniatrica Latina. 1997;XIX(3):206–213
  13. Hirano M. Psycho-acoustic evaluation of voice. New York: Springer-Verlag; 1981;
  14. Apweiler R, Lopez R, Marx B. Introduction to database modelling in bioinformatics. The EBI online manual on molecular biology databases. Available: http://www.ebi.ac.uk/swissprot/Publications/mbd2.html; 1999.
  15. Krom G. A cepstrum-based technique for determining a Harmonic-to-Noise ratio in speech signals. J Speech Hear Res. 1993;36:254–266
  16. Yumoto E, Gould W, Baer T. Harmonics-to-noise ratio as an index of the degree of hoarseness. J Acoust Soc Am. 1982;71(6):1544–1550
  17. Feijoo S, Hernández C. Short-term stability measures for the evaluation of vocal quality. J Speech Hear Res. June 1990;33:324–334
  18. Kasuya H, Ogawa S, Mashima K, Ebihara S. Normalized noise energy as an acoustic measure to evaluate pathological voice. J Acoust Soc Am. 1986;80(5):1329–1335
  19. Qi Y, Hillman RE. Temporal and spectral estimations of harmonics-to-noise ratio in human voice signals. J Acoust Soc Am. 1997;102(1):537–543
  20. Manfredi C. Adaptive Noise Energy in pathological speech signals. IEEE Trans Biomed Eng. 2001;47(11):1538–1543
  21. Boyanov B, Hadjitodorov S, Doskov D, Teston B. Robust hybrid pitch detector for pathological voice analysis. In: Proceedings of Larynx’97. Marseille, France. 1997;p. 55–58
  22. Childers D. Speech processing and synthesis toolboxes. 1st ed.. New York: John Wiley & Sons; 2000;
  23. Deliyski D. Acoustic model and evaluation of pathological voice production. In: Proceedings of Eurospeech’93. 1993;p. 1969–1972
  24. Kasuya H, Ogawa S, Kikuchi Y, Ebihara S. An acoustic analysis of pathological voice and its application to the evaluation of laryngeal pathology. Speech Commun. 1986;5:171–181
  25. Michaelis D, Gramss H, Strube W. Glottal-to-noise excitation ratio—a new measure for describing pathological voices. Acustica/Acta Acustica. 1997;83:700–706
  26. Godino-Llorente JI, Gómez-Vilda P. Automatic detection of voice impairments by means of short-term cepstral parameters and neural network based detectors. IEEE Trans Biomed Eng. 2004;51(2):380–384
  27. Kay Elemetrics Corp. Multi dimensional voice program (MDVP). Operations manual. Model 4305. 1994;
  28. International classification of voice disorders. World Health Organization. Available: http://www3.who.int/icf/onlinebrowser/icf.cfm; 2004.
  29. Elmasri R, Navathe SB. Fundamentals of database systems. Addyson Wesley; 2004;
  30. Pesce M. Programming Microsoft DirectShow for digital video and television. Microsoft Press; 2003;

PII: S1350-4533(05)00078-0

doi: 10.1016/j.medengphy.2005.04.014

Medical Engineering & Physics
Volume 28, Issue 3 , Pages 276-289 , April 2006