Reliability of Universal-Platform-Based <i>Voice Screen</i> Application in AVQI Measurements Captured with Different Smartphones
The aim of the study was to develop a 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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-06-01
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| Series: | Journal of Clinical Medicine |
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| Online Access: | https://www.mdpi.com/2077-0383/12/12/4119 |
| _version_ | 1797594051076161536 |
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| author | Virgilijus Uloza Nora Ulozaitė-Stanienė Tadas Petrauskas Kipras Pribuišis Tomas Blažauskas Robertas Damaševičius Rytis Maskeliūnas |
| author_facet | Virgilijus Uloza Nora Ulozaitė-Stanienė Tadas Petrauskas Kipras Pribuišis Tomas Blažauskas Robertas Damaševičius Rytis Maskeliūnas |
| author_sort | Virgilijus Uloza |
| collection | DOAJ |
| description | The aim of the study was to develop a 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 patients with pathological voices. The developed UPB “<i>Voice Screen</i>” 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 voices was evaluated by applying receiver-operating characteristics. 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; <i>p</i> = 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 the 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 (<i>p</i> > 0.05) obtained from studio and smartphones’ microphones. The significant difference revealed between the AUCs was only 0.028. The UPB “<i>Voice Screen</i>” application represented an accurate and robust tool for voice quality measurements 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. |
| first_indexed | 2024-03-11T02:18:12Z |
| format | Article |
| id | doaj.art-3c6bc64922d5418e80ae46aefa209d4a |
| institution | Directory Open Access Journal |
| issn | 2077-0383 |
| language | English |
| last_indexed | 2024-03-11T02:18:12Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Clinical Medicine |
| spelling | doaj.art-3c6bc64922d5418e80ae46aefa209d4a2023-11-18T11:01:13ZengMDPI AGJournal of Clinical Medicine2077-03832023-06-011212411910.3390/jcm12124119Reliability of Universal-Platform-Based <i>Voice Screen</i> Application in AVQI Measurements Captured with Different SmartphonesVirgilijus Uloza0Nora Ulozaitė-Stanienė1Tadas Petrauskas2Kipras Pribuišis3Tomas Blažauskas4Robertas Damaševičius5Rytis Maskeliūnas6Department of Otorhinolaryngology, Lithuanian University of Health Sciences, 50061 Kaunas, LithuaniaDepartment of Otorhinolaryngology, Lithuanian University of Health Sciences, 50061 Kaunas, LithuaniaDepartment of Otorhinolaryngology, Lithuanian University of Health Sciences, 50061 Kaunas, LithuaniaDepartment of Otorhinolaryngology, Lithuanian University of Health Sciences, 50061 Kaunas, LithuaniaFaculty of Informatics, Kaunas University of Technology, 51368 Kaunas, LithuaniaFaculty of Informatics, Kaunas University of Technology, 51368 Kaunas, LithuaniaFaculty of Informatics, Kaunas University of Technology, 51368 Kaunas, LithuaniaThe aim of the study was to develop a 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 patients with pathological voices. The developed UPB “<i>Voice Screen</i>” 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 voices was evaluated by applying receiver-operating characteristics. 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; <i>p</i> = 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 the 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 (<i>p</i> > 0.05) obtained from studio and smartphones’ microphones. The significant difference revealed between the AUCs was only 0.028. The UPB “<i>Voice Screen</i>” application represented an accurate and robust tool for voice quality measurements 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.https://www.mdpi.com/2077-0383/12/12/4119voice screen appdysphonia screeningAVQIsmartphones |
| spellingShingle | Virgilijus Uloza Nora Ulozaitė-Stanienė Tadas Petrauskas Kipras Pribuišis Tomas Blažauskas Robertas Damaševičius Rytis Maskeliūnas Reliability of Universal-Platform-Based <i>Voice Screen</i> Application in AVQI Measurements Captured with Different Smartphones Journal of Clinical Medicine voice screen app dysphonia screening AVQI smartphones |
| title | Reliability of Universal-Platform-Based <i>Voice Screen</i> Application in AVQI Measurements Captured with Different Smartphones |
| title_full | Reliability of Universal-Platform-Based <i>Voice Screen</i> Application in AVQI Measurements Captured with Different Smartphones |
| title_fullStr | Reliability of Universal-Platform-Based <i>Voice Screen</i> Application in AVQI Measurements Captured with Different Smartphones |
| title_full_unstemmed | Reliability of Universal-Platform-Based <i>Voice Screen</i> Application in AVQI Measurements Captured with Different Smartphones |
| title_short | Reliability of Universal-Platform-Based <i>Voice Screen</i> Application in AVQI Measurements Captured with Different Smartphones |
| title_sort | reliability of universal platform based i voice screen i application in avqi measurements captured with different smartphones |
| topic | voice screen app dysphonia screening AVQI smartphones |
| url | https://www.mdpi.com/2077-0383/12/12/4119 |
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