SCIENTIFIC-PRACTICAL JOURNAL

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No4(4) 2021

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DOI 10.37219/2528-8253-2021-4-37

Solomennikova NV, Deyeva YuV, Palamarchuk VO, Kuts VV
Survey of acoustic analysis of voice in healthy residents of Ukraine 
Solomennikova Natalia V.
Ukrainian Center of Endocrine Surgery, Endocrine Organs and Tissue Transplantation
Consultative polyclinic
Otorhinolaryngologist
Bogomolets National Medical University, Kiev
Department of Otorhinolaryngology
Graduate student
E-mail: solomennikova@ukr.net
ORCID ID: 0000-0001-9920-8861

Dieeva Julia V.
MD, PhD, professor
Head of the department of Otorhinolaryngology
Bogomolets National Medical University, Kiev
E-mail: deyeva@bigmir.net
ORCID ID:0000-0003-0552-1254

Palamarchuk Volodymyr O.
Ukrainian Center of Endocrine Surgery, Endocrine Organs and Tissue Transplantation
Head of the department of Endocrine Surgery
Doctor of Medical Sciences
Email: paldoc@i.ua
ORCID ID: 0000-0001-9554-4817

Kuts Volodymyr V.
National institute of phthisiology and pulmonology named after F.G. Yanovsky NAMS of Ukraine
Senior Researcher of the Department of Information and Computer Technologies
Email: lanadmin@ifp.kiev.ua
ORCID 0000-0002-4434-7298

Abstract

Introduction: Acoustic analysis of voice is a method for assessing its quality, which has a relatively low cost. It quite simple to use, and is non-invasive. One of the programs of spectral analysis of voice is the program Praat, which allows to explore its acoustic characteristics and analyze the forms, also its allows to edit sound segments and print the spectrogram.
The purpose: Investigate the acoustic parameters of the voice Ukrainians of different ages and genders and perform the calculation of reference intervals (RI) for these indicators.
Material and methods: We had examined150 healthy Ukrainians aged 18 to 70. The study was performed using a Behringer C1U condenser microphone and Praat software (version 5.1.12.). The following acoustic characteristics of the voice were studied: the fundamental frequency of voice (F0) in Hz, the maximum phonation time (MPT) in seconds, the Harmonic to Noise Ratio (HNR) in dB, Jitter in%, Shimmer in%. Four groups were formed for the study: 1a – young women (18-44 years); 2a – young men (18-44 years); 1b – middle-aged women (45-59 years); 2b – middle-aged men (45-59 years).
Results: Young and middle-aged men showed significantly higher MPT than women of relevant age. The value of MPT in women with age increased slightly, in men decreased slightly. RI for the indicator of MPT, in 1a group is 11,35-31,28 s, in 2a group – 15,55-39,53 s, in 1b group -14,30-33,01 s, and in 2b group –12,59-31,90 s. The value of F0 in young and middle-aged women is statistically higher than in men of the same age group (p <0.001). With age, this figure decreases slightly in women and men. RI for the indicator F0, in 1a group is 107,0-316,5 Hz, in 2a group – 94,1-139,3 Hz, in 1b group – 94,3-339,1 Hz, and in 2b group – 80,3 -174,3Hz.A comparative analysis of the HNR in young and middle-aged men didn’t show significant differences. In middle-aged women this value is significantly higher than in young women. RI for the HNR in group 1a is 14,194-26,946 dB;
in group 2a – 17,328-28,675 dB; in group 1b -15,254-26,536 dB, and in group 2b – 13,545-30,368 dB. The Jitter index in men and young women does not differ statistically. This figure increases statistically in men with age, in women this rate the same level. RI for the Jitter in 1a group – 0,110-0,436%; in 2a group – 0,101-0,472%; in 1b group – 0,094-0,520% and in 2b group – 0,117-0,460%.
A comparative analysis of Shimmer in men and young women didn't show significant differences, but in middle-aged women this figure decreased statistically compared to young women. In men, this figure has not changed with age. The RI for the Shimmer index is 1,974-14,128% in group 1a; 2,592-12,378% in group 2a; 2,008-6,788% in group 1b; 2,016-12,260% – In group 2b.
Conclusions: Indicators of spectral analysis of voice in young and middle-aged women and men are relatively stable and do not change significantly in this time period.

Keywords

spectral analysis of voice, thyroid gland, maximum phonation time, Harmonic to Noise Ratio, Jitter, Shimmer, correlation analysis, reference interval.


Reference

  1. Zhang Z. Mechanics of human voice production and control. J Acoust Soc Am. 2016; 140(4): 2614-35. doi:10.1121/1.4964509.
  2. Laver J. The phonetic description of voice quality. Journal of the International Phonetic Association. 1981;11(2):78-84. DOI: https://doi.org/10.1017/S0025100300002292.
  3. Folomeeva NA. [Methodology for the protection and hygiene of the voice of students-vocalists of pedagogical universities]. Young Scientist. 2016; 11.1 (38.1). [In Ukrainian].
  4. Omori K. Diagnosis of Voice Disorders. JMAJ. 2011;54(4):248-53.
  5. Hillenbrand JM. Acoustic Analysis of Voice. American Speech-Language-Hearing Association. 2011;21(2):31-43. doi.org/10.1044/ssod21.2.31.
  6. Brockmann M, Drinnan MJ, Storck C. Reliable jitter and shimmer measurements in voice clinics: the relevance of vowel, gender, vocal intensity, and fundamental frequency effects in a typical clinical task. J Voice. 2011;25(1):44-53.
    doi:10.1016/j.jvoice.2009.07.002.
  7. Finger LS, Cielo CA, Schwarz K. Acoustic vocal measures in women without voice complaints and with normal larynx. Brazilian Journal of Otorhinolaryngology. 2009;5(3):432-40. https://doi.org/10.1016/S1808-8694(15)30663-7.
  8. Kiliз MA, Oguz H, Şafak MA. Comparison of results in two acoustic analysis programs: Praat and MDVP. Turkish Journal of Medical Sciences. 2011;41:835-41. DOI: 10.3906/sag-0909-290.
  9. Bonzi EV, Grad GB, Maggi AM, Munoz MR. Study of the characteristic parameters of normal voices of Argentinian speakers. Papers in Physics. 2014;6, 060002. https://doi.org/10.4279/pip.060002.
  10. Gorris С, Maccarini AR, Vanoni F, Poggioli М, Vaschetto R, Garzaro М, Aluffi P. Analysis of Normal Voice Patterns in Italian Adults by Using Praat. Journal of Voice. 2020;6(11):961.e9-961.e18. doi.org/10.1016/j.jvoice.2019.04.016.
  11. Catherine L, Thibeault M, Matthieu JG, Tremblay P. Effects of age on the amplitude, frequency and perceived quality of voice. 2015;37(6):117. doi: 10.1007/s11357-015-9854-1.
  12. Rumyantseva VV, Bestolkova OS. [Acoustic indicators of the voice in different age periods in adults and their prediction]. Russian otorhinolaryngology. 2015;1(74);118-23. [In Russian].
  13. Tukey JW. Exploratory Data Analysis. London, Amsterdam. Addison-Wesley Publishing Company. 1977. 688 s. https://doi.org/10.1002/bimj.4710230408.
  14. Clinical and Laboratory Standards Institute (CLSI). Defining, Establishing, and Verifying Reference Intervals in the Clinical Laboratory – Approved Guideline – Third Edition – CLSI Document EP28-A3c. Clinical and Laboratory Standards Institute, 940 West Valley Road, Suite 1400, Wayne, PA, 19087-1898, USA, 2010.
 

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