Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Reliability of Universal-Platform-Based VoiceScreen Application in AVQI Measurements Captured With Different Smartphones

Virgilijus Uloza
ORCID logo ,
Nora Ulozaite Staniene
* ,
Tadas Petrauskas
,
Kipras Pribuišis
,
Tomas Blažauskas
ORCID logo ,
Robertas Damaševičius
ORCID logo ,
Rytis Maskeliūnas
Version 1 : Received: 7 June 2023 / Approved: 7 June 2023 / Online: 7 June 2023 (10:50:15 CEST)

A peer-reviewed article of this Preprint also exists.

Uloza, V.; Ulozaitė-Stanienė, N.; Petrauskas, T.; Pribuišis, K.; Blažauskas, T.; Damaševičius, R.; Maskeliūnas, R. Reliability of Universal-Platform-Based Voice Screen Application in AVQI Measurements Captured with Different Smartphones. J. Clin. Med. 2023, 12, 4119. Uloza, V.; Ulozaitė-Stanienė, N.; Petrauskas, T.; Pribuišis, K.; Blažauskas, T.; Damaševičius, R.; Maskeliūnas, R. Reliability of Universal-Platform-Based Voice Screen Application in AVQI Measurements Captured with Different Smartphones. J. Clin. Med. 2023, 12, 4119.

Abstract

The aim of the study was to develop the universal-platform-based (UPB) application suitable for different smartphones for estimation of the Acoustic Voice Quality Index (AVQI) and evaluate its reliability in AVQI measurements and normal and pathological voice differentiation. Our study group consisted of 135 adult individuals, including 49 with normal voices and 86 pa-tients with pathological voices. The developed UPB "VoiceSreen" application installed on five iOS and Android smartphones was used for AVQI estimation. The AVQI measures calculated from voice recordings obtained from a reference studio microphone were compared with AVQI results obtained using smartphones. The diagnostic accuracy of differentiating normal and pathological voice was evaluated by applying receiver-operating characteristics. The one-way ANOVA analysis did not detect statistically significant differences between mean AVQI scores revealed using a studio microphone and different smartphones (F= 0.759; p = 0.58). Almost perfect direct linear correlations (r= 0.991- 0.987) were observed between the AVQI results obtained with a studio microphone and different smartphones. An acceptable level of precision of AVQI in discriminating between normal and pathological voices was yielded, with areas under the curve (AUC) displaying 0.834 – 0.862. There were no statistically significant differences between the AUCs (p > 0.05) obtained from studio and smartphone’ microphones. The significant differ-ence revealed between the AUCs was only 0.028. The UPB "VoiceScreen" application represents an accurate and robust tool for voice quality measurement and normal vs. pathological voice screening purposes, demonstrating the potential to be used by patients and clinicians for voice assessment employing both iOS and Android smartphones.

Keywords

VoiceScreen app; dysphonia screening; AVQI; smartphones

Subject

Medicine and Pharmacology, Otolaryngology

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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