Development of a national computer program for acoustic voice analysis with biofeedback for children
https://doi.org/10.51922/1818-426X.2026.2.70
Abstract
To identify early forms of dysphonia, an integrated approach is required, considering anamnestic data, existing risk factors for vocal disorders, functional and acoustic studies, as well as assessing the significance of the effect of a particular symptom or sign on the patient’s vocal function. Despite its long history, acoustic voice analysis is currently a relatively new but dynamically developing area of clinical research in patients with impaired vocal function. Now, there is no research base and normative indicators of acoustic voice analysis in children of the Belarusian population. The purpose of this study is to develop a mathematical voice model that will form the basis of a national program for acoustic analysis of children’s voices. During the research, a national program on acoustic voice analysis with biofeedback in children was developed.
About the Authors
V. S. DaldovaBelarus
Minsk
A. P. Merkulava
Belarus
Minsk
S. M. Bosyakov
Belarus
Minsk
A. E. Malevich
Belarus
Minsk
M. I. Vashkevich
Belarus
Minsk
References
1. Bogomil'skij, M. R. K voprosu rannej diagnostiki narushenij golosa u detej [On the issue of early diagnosis of voice disorders in children] / M. R. Bogomil'skij, E. Yu. Radcig, Ya. E. Bulynko, O. S. Orlova // Rossijskaya otorinolaringologiya. – 2022. – Vol. 21, № 3. – S. 25–31 [In Russian].
2. Shilenkova, V. V. Disfonii i golos [Dysphonia and voice] / V. V. Shilenkova. – Yaroslavl': Avers Plyus, 2018. – 67 s. [In Russian].
3. Mc Murray. Multidisciplinary Management of Pediatric Voice and Swallowing / Mc Murray // Springer Nature Switzerland, 2020. – 119–130 r.
4. Fujiki, R. Examining Relationships Between GRBAS Ratings and Acoustic, Aerodynamic and Patient-Reported Voice Measures in Adults With Voice Disorders / Robert Brinton Fujiki, Susan L. Thibeault // J Voice. – 2023. – Vol. 37, № 3. – P. 390–397.
5. Eddins, D. Developing Clinically Relevant Scales of Breathy and Rough Voice Quality / D. A. Eddins, S. Anand, A. Lang, R. Shrivastav // J Voice. – 2021. – Vol. 35, № 4. – P. 659–663.
6. Siwei, L. Current methods of acoustic analysis of voice: a review / Siwei Liu, Jun Shao / J Lin Chuang Er Bi Yan Hou Tou Jing Wai Ke Za Zhi // Journal of clinical otorhinolaryngology head and neck surgery. – 2022. – Vol. 36, № 12. – P. 966–970.
7. Ambreen, S. Acoustic analysis of normal voice patterns in pakistani adults / S. Ambreen, N. Bashir, S. A. Tarar // J Voice. – 2017. – Vol. 33, № 1. – P. 1–28.
8. Boersma, P., Weenink D. (2023) Praat: doing phonetics by computer (Version 6.5.56.) [Computer program], Retrieved from http//www.praat.org/.
9. Garanin, A. A. Vozmozhnosti akusticheskogo analiza golosa v diagnostike hronicheskih neinfekcionnyh zabolevanij: sistematicheskij obzor i metaanaliz. [The potential of acoustic voice analysis in the diagnosis of chronic noncommunicable diseases: a systematic review and meta-analysis] / A. A. Garanin, O. Yu. Ajdumova, A. O. Rubanenko // Kardiovaskulyarnaya terapiya i profilaktika. – 2025. – № 24(7). – S. 102–110 [In Russian].
10. Zehnhoff-Dinnesen, A., Wiskirska-Woźnica B., Neumann K. Phoniatrics I Fundamentals – Voice Disorders – Disorders of Language and Hearing Development. – Springer, 2020 – 200 r.
11. Boogers, L. S . Mobile Phone Applications Voice Tools and Voice Pitch Analyzer Validated With LingWAVES to Measure Voice Frequency / L. S. Boogers // J Voice. – 2025. – Vol. 39, № 3. – P. 529–559.
12. Mc Murray. Multidisciplinary Management of Pediatric Voice and Swallowing / Mc Murray // Springer Nature. – Switzerland, 2020. – 83 r.
13. Mizuta, M. Validation of Cepstral Acoustic Analysis for Normal and Pathological Voice in the Japanese Language / M. Mizuta // J Voice. – 2022. – Vol. 36, № 6. – P. 770–776.
14. Pokrovskij, V. I. Vozrast / V. I. Pokrovskij // Malaya medicinskaya enciklopediya. [Small Medical Encyclopedia]. – 1991. – Vol. 1. – S. 358–359 [In Russian]. 15. Hludeev, I. I Sistemy s biologicheskoj obratnoj svyaz'yu: posobie [Biofeedback systems: a manual] / I. I. Hludeev. – Minsk: BGUIR, 2023. – P. 37–47 [In Russian].
15. Smetankin, A. A. Principy ispol'zovaniya metoda biologicheskoj obratnoj svyazi v sisteme medicinskoj reabilitacii [Principles of Using the Biofeedback Method in the Medical Rehabilitation System] / A. A. Smetankin, Yu. V. Ivanovskij. – Sankt-Peterburg, 2003 [In Russian].
16. Medved, D. M. S. Systematic Review of Auditory Perceptual and Acoustic Characteristics of the Voice of Cochlear Implant Adult Users / D. M. S. Medved, L. D. R. Cavalheri, A. C. Coelho // J Voice. – 2021. – Vol. 35, № 6. – P. 927–934.
Review
For citations:
Daldova V.S., Merkulava A.P., Bosyakov S.M., Malevich A.E., Vashkevich M.I. Development of a national computer program for acoustic voice analysis with biofeedback for children. Medical Journal. 2026;(2):70-77. (In Russ.) https://doi.org/10.51922/1818-426X.2026.2.70
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