Analysis of Acoustic Parameters of Voice Jitter and Shimmer in Children with Dysphonia after Laryngeal Surgery
Main Article Content
Abstract
The article conducted a study of computer acoustic analysis of Jitter and Shimmer voice parameters in children with dysphonia after laryngeal surgery. The study found that children with dysphonia had significantly lower preoperative Jitter and Shimmer scores (574359, 587, and 2.3) compared to healthy children (1316743.376 and 4.84). At 1 month after surgery, affected children showed a decrease in Jitter and Shimmer indices compared with these acoustic indices before surgery. However, at 2 months, there was a significant increase in Jitter and Shimmer scores, and at 3 months, Jitter and Shimmer scores were comparable to Jitter and Shimmer scores in healthy children without dysphonia. The results of the study show that the method of analyzing the acoustic parameters of the voice Jitter and Shimmer allows a phoniatrist to objectively assess the occurrence of a voice disease in patients with dysphonia, and this method is the most accurate criterion for determining the pathologies of dysphonia and determining the treatment program for the disease.
Article Details
Copyright (c) 2025 Alieva MU, et al.

This work is licensed under a Creative Commons Attribution 4.0 International License.
The Archives of Case Reports is committed in making it easier for people to share and build upon the work of others while maintaining consistency with the rules of copyright. In order to use the Open Access paradigm to the maximum extent in true terms as free of charge online access along with usage right, we grant usage rights through the use of specific Creative Commons license.
License: Copyright © 2017 - 2025 | Open Access by Archives of Case Reports is licensed under a Creative Commons Attribution 4.0 International License. Based on a work at Heighten Science Publications Inc.
With this license, the authors are allowed that after publishing with the journal, they can share their research by posting a free draft copy of their article to any repository or website.
Compliance 'CC BY' license helps in:
Permission to read and download | ✓ |
Permission to display in a repository | ✓ |
Permission to translate | ✓ |
Commercial uses of manuscript | ✓ |
'CC' stands for Creative Commons license. 'BY' symbolizes that users have provided attribution to the creator that the published manuscripts can be used or shared. This license allows for redistribution, commercial and non-commercial, as long as it is passed along unchanged and in whole, with credit to the author.
Please take in notification that Creative Commons user licenses are non-revocable. We recommend authors to check if their funding body requires a specific license.
Radzig EY, Bulynko YE, Orlova OS. Voice disorders in children at different stages of speech development. Pediatria n.a. G.N. Speransky. 2018;97(2):109-112. Available from: https://doi.org/10.24110/0031-403X-2018-97-2-109-112
Volkova MN. Diseases of the oral mucosa: Educational and methodological manual. Vitebsk: VSMU; 2016;236. ISBN 978-985-466-848-2.
Bechlau M, Madasio G, Oliveira J. Functional dysphonia: A strategy to improve patient outcomes. Patient Relat Outcome Meas. 2015;6:243-253. Available from: https://doi.org/10.2147/prom.s68631.
Caffier F, Nawka T, Neumann K, Seipelt M, Caffier PP. Validation and classification of the 9-item Voice Impairment Index (VHI-9i). J Clin Med. 2021;10(15):3325. Available from: https://doi.org/10.3390/jcm10153325.
Almeida N. Intelligent System for Diagnosing Pathologies in the Larynx Using Support Vector Machines. MSc thesis. Federal University Rio Grande do Norte; 2010. Available from: https://repositorio.ufrn.br/handle/123456789/15149.
Liu X, Zheng Y, Yang J, Zou H. The impact of tonsillectomy with or without adenoidectomy on voice: acoustic and aerodynamic assessments. J Voice. 2015;29(3):346-348. Available from: https://doi.org/10.1016/j.jvoice.2014.08.014.
Stepanova YE, Mokhotaeva MV, Korneenkov AA. Acoustic characteristics of the voice of representatives of vocal speech professions with functional dysphonia of the hypotonic type. Rossiiskaya otorinolaringologiya. 2021;20(4):58-63. Available from: http://dx.doi.org/10.18692/1810-4800-2021-4-58-63.
Gorris C, Ricci Maccarini A, Vanoni F, Poggioli M, Vaschetto R, Garzaro M, et al. Acoustic analysis of normal voice patterns in Italian adults by using Praat. J Voice. 2020;34(6):961.e9-961.e18. Available from: https://doi.org/10.1016/j.jvoice.2019.04.016.
Li G, Hou Q, Zhang C, Jiang Z, Gong S. Acoustic parameters for assessing voice quality in patients with voice disorders. Ann Palliat Med. 2021;10(1):130-136. Available from: https://doi.org/10.21037/apm-20-2102.
Lopes LW, Batista Simões L, Delfino da Silva J, da Silva Evangelista D, da Nóbrega E, Ugulino AC, et al. Accuracy of acoustic analysis measurements in the evaluation of patients with different laryngeal diagnoses. J Voice. 2017;31(3):382.e15-382.e26. Available from: https://doi.org/10.1016/j.jvoice.2016.08.015.
Alieva M, Nadzhmutdinova N, Abdukayumov A, Inoyatova F, Musaev M, Abdullaeva M. Spectral acoustic analysis of voice for diagnostics of dysphonia in children. In: Conceptual options for the development and improvement of medical science and psychology: collective monograph. Boston: Primedia eLaunch; 2023;6-13. Available from: https://isg-konf.com/wp-content/uploads/2023/06/Monograph/ISG.2023.MONO.MED.3/ISG.2023.MONO.MED.3.pdf.
Jurca L, Vigaru C. Jitter and shimmer parameters in the identification of vocal tract pathologies. In: Proceedings of the 17th Acoustics and Vibration of Mechanical Structures—AVMS-2023, Timisoara, Romania, May 26-27, 2023. Springer Proceedings in Physics. 2023;302:155-164. Available from: http://dx.doi.org/10.1007/978-3-031-48087-4_17.
Li G, Hou Q, Zhang C, Jiang C, Gona S. Acoustic parameters for assessing voice quality in patients with voice disorders. Ann Palliat Med. 2021;10(1):130-136. Available from: https://doi.org/10.21037/apm-20-2102.
Starostina SV, Svistushkin VM, Rakunova EB. Postoperative voice rehabilitation in patients with benign and tumor-like diseases of the larynx according to acoustic analysis. Med Counc. 2019;(8):122-126. Available from: http://dx.doi.org/10.21518/2079-701X-2019-8-122-126.
Wilson DK. Voice disorders in children. Translated from English by Nedvetsky AV. Moscow: Medicine; 1990;446.
Afanasyev GI, Marchenko AV. Procedure of recording voice messages using Audacity program. Theory Pract Mod Sci. 2017;3(21):927-934.
Ribeiro Fagundes RD, Russomano Th, Scolari D. Digital signal processing in the differential diagnosis of benign larynx diseases. Porto Alegre: Scientia Medica; 2006. 16(3):109-114.
Teixeira JP, Gonçalves A. Accuracy of jitter and shimmer measurements. Procedia Technol. 2014;16(1):1190-1199. Available from: https://doi.org/10.1016/j.protcy.2014.10.134
Wertzner HF, Schreiber S, Amaro L. Analysis of fundamental frequency, jitter, shimmer and voice intensity in children with phonological disorders. Rev Bras Otorhinolaringol. 2005;71:97-110. Available from: https://doi.org/10.1016/s1808-8694(15)31261-1
Guimarães I. The science and art of the human voice. Alcoitão Higher School of Health; 2007;276. Available from: https://www.researchgate.net/publication/259892108_A_ciencia_e_a_arte_da_voz_humana