A comparative study of the vocal parameters between hypofunctional and hyperfunctional dysphonia using perceptual and cepstral spectral index of dysphonia measures

Authors

  • Debaruna Goswami Clinical Audiologist and Speech Language Pathologist at iHear Ltd, Kolkata, West Bengal, India
  • Indranil Chatterjee Department of Audiology and Speech Language Pathology, AYJNISHD, Kolkata, West Bengal, India
  • Pamela Samaddar Department of Audiology and Speech Language Pathology, AYJNISHD, Kolkata, West Bengal, India
  • Shalini S. Narayanan Rehabilitation Unit of Speech and Hearing at Swami Rama Himalayan University, Dehradun, Uttarakhand, India
  • Arup Saha Advanced Signal Processing, CDAC-Kolkata, Kolkata, West Bengal, India
  • Tulika Basu Advanced Signal Processing, CDAC-Kolkata, Kolkata, West Bengal, India

DOI:

https://doi.org/10.18203/issn.2454-5929.ijohns20231086

Keywords:

Normophonia, Hypofunctional dysphonia, Hyperfunctional dysphonia, CSID

Abstract

Background: The main goal of the present study was to obtain the cepstral spectral index of dysphonia (CSID) scores for normophonic, hypo-functional dysphonic and hyper-functional dysphonic Indian population along with correlation of CSID and GRBAS scores for normophonic, hypo-functional dysphonic and hyper-functional dysphonic population using sustained production of vowel and oral passage of Bengali language.

Methods: A total of 60 participants between 20-50 years were selected for the study. The participants were divided into three groups viz., 30 normal subjects, 15 subjects with hypofunctional dysphonia and 15 subjects with hyperfunctional dysphonia. The subjects were screened for speech and hearing defects. Recordings of sustained vowels and passage were done and then fed to measure CSID through PRAAT and software developed by C-DAC. Statistical analyses were done for the analyzed data using SPSS.

Results: Significant differences (p<0.05) were found in CSID scores across hypofunctional dysphonia group and hyperfunctional dysphonia group when compared to normophonia group. There were no significant differences (p>0.05) between hypofunctional and hyperfunctional dysphonia group in CSID score. A significantly strong correlation of CSID scores with the ‘G’ rating of GRBAS scores (p<0.01) were found for both hypofunctional dysphonia and hyperfunctional dysphonia groups. ROC analysis showed high sensitivity and specificity of CSID scores in two dysphonia groups with respect to normophonia group.

Conclusions: The current study revealed significant differences obtained in CSID scores across normophonia, hypofunctional dysphonia and hyperfunctional dysphonia groups suggesting it as assessment tool to determine the presence of dysphonia.

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References

Sauder C, Roy N, Smith ME. Vocal function exercises for presbylaryngis: A multidimensional assessment of treatment outcomes. Ann Otol Rhinol Laryngol. 2010;119(7):460-7.

Coyle SM, Weinrich B, Stemple J. Shifts in relative prevalence of laryngeal pathology in a treatment-seeking population. J Voice. 2001;15(3):424-40.

Willging JP, De Alarcon A, Miller CK, Kelchner LN, Pentiuk S. Feeding, Swallowing, and Voice Disorders. In Kendig and Chernick's Disorders of the Respiratory Tract in Children. 2012;957-96.

Rubin J, Sataloff R, Korovin G. Diagnosis and Treatment of Voice Disorders. (3rd ed.). San Diego, CA: Plural Publishing. 2006.

Baken RJ, Orlikoff R. Clinical measurement of speech and voice (2nd edition). San Diego, CA: Singular Publishing Group. 2000.

Hirano M. Psycho-acoustic evaluation of voice: GRBAS scale for evaluating the hoarse voice. 1981.

Awan SN, Roy N, Dromey C. Estimating dysphonia severity in continuous speech: Application of a multi-parameter spectral/cepstral model. Clin Linguistics Phonetics. 2009;23(11):825-41.

Awan SN, Roy N, Zhang D, Cohen SM. Validation of the cepstral spectral index of dysphonia (CSID) as a screening tool for voice disorders: development of clinical cutoff scores. J Voice. 2016;30(2):130-44.

Boersma P, Weenink D. Praat: Doing Phonetics by Computer [Computer program] 5.1.43. 2010. Available at: http://www.praat.org. Accessed on 21 January, 2023.

McAllister A, Brandt SK. A comparison of recordings of sentences and spontaneous speech: perceptual and acoustic measures in preschool children’s voices. J Voice. 2012;26(5):673-e1.

Kumar S, Chakrabarty M, Shailat RK, Singh P. Development of a Phonemically Balanced Passage, Oral Passage, and Nasal Passage for the Measurement of Nasalance in Bangla. J Speech, Language Hearing. 2012;15(2):85-91.

Watts CR, Awan SN. An examination of variations in the cepstral spectral index of dysphonia across a single breath group in connected speech. J Voice. 2015;29(1): 26-34.

Rubin AD, Jackson-Menaldi C, Kopf LM, Marks K, Skeffington J, Skowronski MD et al. Comparison of Pitch Strength With Perceptual and Other Acoustic Metric Outcome Measures Following Medialization Laryngoplasty. J Voice. 2019;33(5):795-800.

Shim HJ, Jung H, Lee SA, Choi BH, Heo JH, Ko DH. Cepstral and spectral analysis of voice with adductor spasmodic dysphonia. J Kor Society Speech Sci. 2016;8(2):73-80.

Carding P, Carlson E, Epstein R, Mathieson L, Shewell C. Formal perceptual evaluation of voice quality in the United Kingdom. Logopedics Phoniatrics Vocol. 2000;25(3):133-8.

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Published

2023-04-26

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Original Research Articles