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Acoustic Voice Analysis of Normal and Pathological Voices in Indian Population Using Praat Software

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Indian Journal of Otolaryngology and Head & Neck Surgery Aims and scope Submit manuscript

Abstract

Acoustic voice analysis is still a valuable technique which enables voice clinicians to compare voices to differentiate them into normal and abnormal. The present study was undertaken to standardize acoustic voice parameters in normal healthy adult individuals and gender comparison among them and also acoustic voice analysis of pathological voices and it’s comparison with normal healthy voices. Voice samples of vowels /a/, /i/ and /u/ of 80 normal healthy adults (males = 40, females = 40) of control group and 40 patients with dysphonic voice of case group collected and acoustic voice parameters were extracted by using Praat software. There were statistically significant higher values of fundamental frequency (F0) in females, while jitter local (%), shimmer local (%) and harmonic to noise ratio (HNR) had no gender differences in normal healthy voices. Pathological voices of case group subjects with laryngeal pathologies had statistically significant higher values of jitter local (%), shimmer local (%) and lower values of HNR as compare to normal healthy voices of control group. Objective voice analysis by using Praat software is convenient, reliable and cost effective method. This study establishes normative acoustic voice parameters in normal healthy adults. There are no gender differences in adult healthy voices except fundamental frequency (F0), which is higher in females. Patients who are with dysphonic voices due to laryngeal pathologies had altered values of acoustic parameters compared to normophonic adults and clinicians can precisely differentiate pathological voices from normophonics.

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References

  1. Sataloff RT, Benninger MS (eds) (2016) Sataloff’s comprehensive textbook of otolaryngology: head and neck surgery (laryngology), vol 4. JAYPEE. https://doi.org/10.5005/jp/books/12711

  2. Lara E, Tavares M, De Labio RB, Helena R, Martins G (2010) Normative study of vocal acoustic parameters from children from 4 to 12 years of age without vocal symptoms A pilot study. Braz J Otorhinolaryngol 76(4):485–490

    Google Scholar 

  3. Almeida, N (2010) Sistema Inteligente para Diagnostico da Patologias na Laringe Utilizando Maquinas de Vetor de Suporte. Msc., Universidade Federal Rio Grande do Norte – Natal – Brasil

  4. Boersma P, Weenink D (2007) Praat: doing phonetics by computer (Version 4.5.)[Computer program],” Retrieved from http//www.praat.org/

  5. Smits I, Ceuppens P, De Bodt MS (2005) A comparative study of acoustic voice measurements by means of Dr. Speech and computerized speech Lab. J Voice 19(2):187–196

    Article  Google Scholar 

  6. Ambreen S, Bashir N, Tarar SA, Kausar R (2017) Acoustic analysis of normal voice patterns in pakistani adults. J Voice pp 1–28

  7. Finger LS, Cielo CA, Schwarz K (2009) Acoustic vocal measures in women without voice complaints and with normal larynxes. Braz J Otorhinolaryngol 75(3):432–440. https://doi.org/10.1016/S1808-8694(15)30663-7

    Article  Google Scholar 

  8. Paulo J, Odete P (2015) Acoustic analysis of vocal dysphonia. Procedia Procedia Comput Sci 64:466–473

    Article  Google Scholar 

  9. Teixeira JP, Oliveira C, Lopes C (2013) Vocal acoustic analysis—Jitter Shimmer and HNR Parameters. Procedia Technol 9:1112–1122

    Article  Google Scholar 

  10. Spazzapan EA, Cardoso VM, Fabron EMG, Berti LC, Brasolotto AG, de Castro Marino VC (2018) Acoustic characteristics of healthy voices of adults: from young to middle age. CoDAS [Internet] 30(5):e20170225

    Google Scholar 

  11. Hirano M, McCormick KR (1986) Clinical examination of voice. J Acoust Soc Am 80(4):1273

    Article  Google Scholar 

  12. Paulo J, Gonçalves A (2014) Accuracy of jitter and shimmer measurements. Procedia Technol 16:1190–1199

    Article  Google Scholar 

  13. Teixeira JP, Goncalves A (2016) Algorithm for jitter and shimmer measurement in pathologic voices. Procedia Comput Sci 100:271–279

    Article  Google Scholar 

  14. Teixeira JP, Fernandes PO (2014) Jitter, Shimmer and HNR classification within gender, tones and vowels in healthy voices. Procedia Technol 16:1228–1237

    Article  CAS  Google Scholar 

  15. Teixeira JP, Ferreira D, Carneiro S (2011) Análise acústica vocal - determinação do Jitter e Shimmer para diagnóstico de patalogias da fala. In 6º Congresso Luso-Moçambicano de Engenharia. Maputo, Moçambique

  16. Shaoa J, MacCallumb JK, Zhangb Y, Sprecherb A, Jianga JJ (2010) Acoustic analysis of the tremulous voice: assessing the utility of the correlation dimension and perturbation parameters. J Commun Disord 43:35–44

    Article  Google Scholar 

  17. Barsties B, Bodt MD (2015) Assessment of voice quality: current state-of-the-art. Auris Nasus Larynx 42:183–188

    Article  Google Scholar 

  18. Sussman JE, Tjaden K (2012) Perceptual measures of speech from individuals with Parkinson’s disease and multiple sclerosis: intelligibility and beyond. J Speech Lang Hear Res 55:1208–1219

    Article  Google Scholar 

  19. Rusz J, Cmejla R, Ruzickova H, Ruzicka E (2011) Quantitative acoustic measurements for characterization of speech and voice disorders in early untreated Parkinson’s disease. J Acoust Soc Am 129:350–367

    Article  CAS  Google Scholar 

  20. Leiberman P (1963) Some acoustic measures of fundamental periodicity of normal and pathologic larynges. J Acoust Soc Am 35:344

    Article  Google Scholar 

  21. Horii Y (1979) Fundamental frequency perturbation observed in sustained phonation. J Speech Hearing Res 22(1):5–19

    Article  CAS  Google Scholar 

  22. Yumoto E, Sasaki Y, Okamura H (1984) Harmonics-to-noise ratio and psychophysical measurement of the degree of hoarseness. J Speech Hear Res 27(1):2–6

    Article  CAS  Google Scholar 

  23. Toran KC, Lal BK (2009) Objective analysis of voice in normal young adults. Kathmandu Univ Med J 7(4):374–377

    Article  CAS  Google Scholar 

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Funding

(Information that explains whether and by whom the research was supported):NIL No funds, grants, or other support was received.

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Authors and Affiliations

  1. Swami Ramanand Teerth Rural Govt. Medical College, Ambajogai, state Maharashtra, India

    Prashant Hippargekar, Sudhir Bhise, Shankar Kothule & Sharad Shelke

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  1. Prashant Hippargekar
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  2. Sudhir Bhise
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  3. Shankar Kothule
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  4. Sharad Shelke
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Correspondence to Sharad Shelke.

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(Include appropriate disclosures): The authors have no relevant financial or non-financial interests to disclose.

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(Include appropriate approvals or waivers) approved by the Research Ethics Committee on Human Beings of the home institution. All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

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Hippargekar, P., Bhise, S., Kothule, S. et al. Acoustic Voice Analysis of Normal and Pathological Voices in Indian Population Using Praat Software. Indian J Otolaryngol Head Neck Surg 74 (Suppl 3), 5069–5074 (2022). https://doi.org/10.1007/s12070-021-02757-9

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  • DOI: https://doi.org/10.1007/s12070-021-02757-9

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