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Research Article

Quantifying dysphonia severity using a spectral/cepstral-based acoustic index: Comparisons with auditory-perceptual judgements from the CAPE-V

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Pages 742-758 | Received 10 Mar 2010, Accepted 05 May 2010, Published online: 05 Aug 2010

References

  • Awan S.N., Giovinco, A., & Owens, J. (2010). Effects of vocal intensity and vowel type on cepstral analysis of voice. Presented at the 39th Annual Symposium: Care of the Professional Voice, Philadelphia, PA.
  • Awan, S.N., & Roy, N. (2005). Acoustic prediction of voice type in adult females with functional dysphonia. Journal of Voice, 19, 268–282.
  • Awan, S.N., & Roy, N. (2006). Toward the development of an objective index of dysphonia severity: A four-factor model. Clinical Linguistics & Phonetics, 20, 35–49.
  • Awan, S.N., & Roy, N. (2009). Outcomes measurement in voice disorders: Application of an acoustic index of dysphonia severity. Journal of Speech, Language, and Hearing Research, 52, 482–499.
  • Awan, S.N., Roy, N., & Dromey, C. (2009). Estimating dysphonia severity in continuous speech: Application of a multiparameter spectral/cepstral model. Clinical Linguistics & Phonetics, 23, 825–841.
  • Baken, R.J. (1987). Clinical Measurement of Speech and Voice. Boston, MA: Little, Brown and Co.
  • Callan, D.E., Kent, R.D., Roy, N., & Tasko, S.M. (1999). Self-organizing maps for the classification of normal and disordered female voices. Journal of Speech and Hearing Research, 42, 355–366.
  • Dollaghan, C. (2007). Appraising diagnostic evidence. In C. Dollaghan ( Ed.), The Handbook for Evidence-based Practice in Communication Disorders. Baltimore, MD: Brookes.
  • Eadie, T.L., & Doyle, P.C. (2005). Classification of dysphonic voice: acoustic and auditory-perceptual measures. Journal of Voice, 19, 1–14.
  • Fairbanks, G. (1960). Voice and articulation drillbook (2nd ed; pp 124–139). New York: Harper & Row.
  • Halberstam, B. (2004). Acoustic and perceptual parameters relating to connected speech are more reliable measures of hoarseness than parameters relating to sustained vowels. ORL, 70–73.
  • Hammarberg, B., Fritzell, B., Gauffin, J., Sundberg, J., & Wedin, L. (1980). Perceptual and acoustic correlates of abnormal voice qualities. Acta Otolaryngologica, 90, 441–451.
  • Hartl, D., Hans, S., Vaissiere, J., Riquet, M., & Brasnu, D. (2001). Objective voice quality analysis before and after onset of unilateral vocal fold paralysis. Journal of Voice, 15, 351–361.
  • Heman-Ackah, Y., Heuer, R.J., Michael, D.D., Ostrowski, R., Horman, M., Baroody, M.M., (2003). Cepstral peak prominence: A more reliable measure of dysphonia. Acta Otol Rhinol Laryngol, 112, 324–333.
  • Heman-Ackah, Y.D., Michael, D.D., & Goding, G.S. (2002). The relationship between cepstral peak prominence and selected parameters of dysphonia. Journal of Voice, 16, 20–27.
  • Hillenbrand, J., & Houde, R.A. (1996). Acoustic correlates of breathy vocal quality: dysphonic voices and continuous speech. Journal of Speech, Language, and Hearing Research, 39, 298–310.
  • Hillenbrand, J., Cleveland, R.A., & Erickson, R.L. (1994). Acoustic correlates of breathy vocal quality. Journal of Speech and Hearing Research, 37, 769–778.
  • Kempster, G.B., Gerratt, B.R., Verdolini Abbott, K., Barkmeier-Kraemer, J., & Hillman, R.E. (2009). Consensus auditory-perceptual evaluation of voice: Development of a standardized clinical protocol. American Journal of Speech-Language Pathology, 18, 124–132.
  • de Krom, G. (1995). Some spectral correlates of pathological breathy and rough voice quality for different types of vowel fragments. Journal of speech and Hearing Research, 38, 794–811.
  • Laflen, J.B., Lazarus, C.L., & Amin, M.R. (2008). Pitch deviation analysis of pathological voice in connected speech. Annals of Otology, Rhinology and Laryngology, 117, 90–97.
  • Maryn, Y., Corthals, P., Van Cauwenberge, P., Roy, N., & De Bodt, M. (in press). Toward improved ecological validity in the acoustic measurement of overall voice quality: Combining continuous speech and sustained vowels. Journal of Voice.
  • Maryn, Y., Roy, N., De Bodt, M., Van Cauwenberge, P., & Corthals, P. (2009). Acoustic measurement of overall voice quality: A meta-analysis. J. Acoust. Soc. Am., 126.
  • McGraw, K.O., & Wong, S.P. (1996). Forming inferences about some intraclass correlation coefficients. Psychological Methods, 1, 30–46.
  • Noll, A.M. (1964). Short-term spectrum and “cepstrum” techniques for vocal pitch detection. Journal of the Acoustical Society of America, 41, 293–309.
  • Parsa, V., & Jamieson, D.G. (2001). Acoustic discrimination of pathological voice: Sustained vowels versus continuous speech. Journal of Speech, Language, and Hearing Research, 44, 327–339.
  • Qi, Y., Hillman, R.E., & Milstein, C. (1999). The estimation of signal to noise ratio in continuous speech for disordered voices. Journal of the Acoustical Society of America, 105, 2532–2535.
  • Roy, N., Gouse, M., Mauszycki, S.C., Merrill, R.M., & Smith, M.E. (2005). Task specificity in adductor spasmodic dysphonia versus muscle tension dysphonia. Laryngoscope, 115, 311–316.
  • Shrivastav, R., Sapienza, C.M., & Nandur, V. (2005) Application of psychometric theory to the measurement of voice quality using rating scales. Journal of Speech, Language, and Hearing Research, 48, 323–335.
  • Wolfe, V., & Steinfatt, T.M. (1987). Prediction of vocal severity within and across voice types. Journal of Speech and Hearing Research, 30, 230–240.
  • Wolfe, V.I., Martin, D.P., & Palmer, C.I. (2000). Perception of dysphonic voice quality by naïve listeners. Journal of Speech and Hearing Research, 43, 697–705.
  • Yiu, E., Worrall, L., Longland, J., & Mitchell, C. (2000). Analysing vocal quality of connected speech using Kay's computerized speech lab: a preliminary finding. Clinical Linguistics & Phonetics, 14, 295–305.
  • Zhang, Y., & Jiang, J.J. (2008). Acoustic analyses of sustained and running voices from patients with laryngeal pathologies. Journal of Voice, 22, 1–9.
  • Zweig M.H., & Campbell, G. (1993). Receiver-operating characteristic (ROC) plots: A fundamental evaluation tool in clinical medicine. Clinical Chemistry, 39, 561–577.

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